A Method of Estimating a Circulating Tumor DNA Burden and Related Kits and Methods

TECHNICAL FIELD

The present disclosure relates broadly to a method of estimating a disease burden, such as a circulating tumor DNA (ctDNA) burden, and related kits and methods.

BACKGROUND

Cell-free DNA (cfDNA) is present in the blood circulation of humans. In healthy individuals, the death of normal cells of the hematopoietic lineage is the main contributor of plasma cfDNA. In cancer patients, blood plasma can carry circulating tumor DNA (ctDNA) fragments originating from tumor cells, offering non-invasive access to somatic genetic alterations in tumors. The ctDNA profile of a cancer patient is clinically informative in at least two major ways. Firstly, the profile can provide information about specific actionable mutations that can guide therapy. Secondly, the profile can be used to infer tumor growth dynamics by estimating the amount of ctDNA in the blood. This latter information offers a promising non-invasive approach to track disease progression during clinical trials or therapy, offering a real-time tool to adjust therapy.

Existing next-generation sequencing-based approaches to estimate ctDNA levels in plasma samples are based on somatic single nucleotide variant allele frequencies (SNV VAFs), copy number aberrations (CNAs), or DNA methylation patterns. However, these approaches each have limitations.

Approaches based on somatic variant allele frequencies only work for patients that have known recurring cancer mutations, and reliable estimation requires that multiple mutations are present in the ctDNA. Since cfDNA targeted sequencing typically only covers a few hundred selected cancer genes because of the need for ultra-deep sequencing (˜10,000×), most patients will not have a sufficient number of detectable mutations to allow reliable tumor content estimation. ctDNA burden estimation based on SNVs may therefore be challenging when no clonal mutations exist among the targeted genes.

Alternatively, low-pass whole genome sequencing (Ip-WGS) yields segmental/arm-level CNAs, or epigenomics-associated fragmentation patterns that allow for inference of ctDNA burden. However, some cancers may not have sufficient levels of aneuploidy and chromosomal instability needed for robust estimation. Therefore, some cancers cannot be accurately monitored with this approach. Furthermore, low-pass whole genome sequencing approaches only work down to ˜3% tumor ctDNA fraction and the assay must be performed in addition to the standard targeted panel sequencing, wasting precious blood plasma.

Sequencing of DNA methylation patterns may provide a general approach to quantify the cellular origin of cfDNA. However, this technology is less efficient and more noisy (due to bisulfite conversion step) and is again not directly compatible with standard targeted panel sequencing, thereby wasting precious blood plasma.

Notably, both DNA methylation and Ip-WGS profiling require separate assays in addition to standard targeted gene sequencing, highlighting the need for approaches that simultaneously allow for profiling of actionable cancer mutations and quantitative estimation of ctDNA burden.

Thus, there is a need to provide an alternative method of estimating a disease burden, such as a ctDNA burden, and related kits and methods.

SUMMARY

In one aspect, there is provided a method of estimating a circulating tumor DNA (ctDNA) burden in a subject, the method comprising: determining in a blood sample obtained from the subject, a level of cell-free DNA (cfDNA) that maps to one or more nucleosome-depleted region (NDR); and estimating the ctDNA burden based on said level of cfDNA, wherein said NDR (i) comprises the NDR of a gene which transcript is differentially expressed between healthy blood tissue and tumor tissue and/or (ii) is degraded to different extents between healthy blood tissue and blood tissue of a tumor-bearing subject.

In one embodiment, determining in a blood sample obtained from the subject, a level of cfDNA that maps to one or more NDR comprises: sequencing cfDNA fragments in the blood sample to obtain sequencing reads; and determining the number of sequencing reads that align with the one or more NDR to obtain said level of cfDNA that maps to one or more NDR.

In one embodiment, the method further comprises contacting the blood sample with one or more probe capable of binding to the one or more NDR to capture cfDNA fragments comprising the one or more NDR prior to the sequencing step.

In one embodiment, the NDR is selected from the group consisting of: a promoter region, a first exon-intron junction and combinations thereof.

In one embodiment, the estimated ctDNA burden positively correlates with a tumor burden in the subject.

In one embodiment, said transcript that is differentially expressed between healthy blood tissue and tumor tissue comprises a transcript which FPKM (Fragments Per Kilobase of transcript per Million) value differs by at least 10 times between healthy blood tissue and tumor tissue.

In one embodiment, said NDR that is degraded to different extents between healthy blood tissue and blood tissue of a tumor-bearing subject comprises a NDR having different sequencing coverage in healthy blood tissue and in tumor tissue.

In one embodiment, said transcript that is differentially expressed in healthy blood tissue and tumor tissue is selected from the group consisting of: a transcript that is more highly expressed in healthy blood tissue than in tumor tissue, a transcript that is more highly expressed in tumor tissue than in healthy blood tissue and combinations thereof.

In one embodiment, said transcript which is differentially expressed between blood tissue and tumor tissue consists of transcript(s) that is more highly expressed in blood tissue than in tumor tissue.

In one embodiment, the one or more NDR comprises at least two NDRs, optionally six NDRs, further optionally ten NDRs.

In one embodiment, the total length of the one or more NDR is no more than 30 kb.

In one embodiment, the one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SLC11A1, NLRP12, PRTN3, HMBS, LILRB3, ACSL1, GP9, MX2, RASGRP4, ATG16L2 and combinations thereof.

In one embodiment, the method is a method of determining disease progression in a subject and the method further comprises: determining in a subsequent blood sample obtained from the subject, a level of cfDNA that maps to one or more NDR; estimating the ctDNA burden based on said level of cfDNA; comparing the ctDNA burden estimated from said subsequent blood sample with the ctDNA burden estimated from said blood sample; and identifying the subject as having disease progression if the ctDNA burden estimated from said subsequent blood sample is higher than the ctDNA burden estimated from said blood sample and identifying otherwise if the ctDNA burden estimated from said subsequent blood sample is not higher than the ctDNA burden estimated from said blood sample.

In one embodiment, the method further comprises changing the treatment regimen received by the subject if the subject is identified as having disease progression.

In one embodiment, the tumor comprises colorectal tumor.

In one embodiment, the one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SHKBP1, ACSL1, BCAR1, RAB25, PRTN3, LSR and combinations thereof.

In one aspect, there is provided a kit for estimating a ctDNA burden in a subject, the kit comprising one or more probe that is capable of binding to one or more NDR, wherein said NDR (i) comprises the NDR of a gene which transcript is differentially expressed between healthy blood tissue and tumor tissue and/or (ii) is degraded to different extents between healthy blood tissue and blood tissue of a tumor-bearing subject.

In one embodiment of the kit, said one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SLC11A1, NLRP12, PRTN3, HMBS, LILRB3, ACSL1, GP9, MX2, RASGRP4, ATG16L2 and combinations thereof.

In one embodiment of the kit, said tumor comprises colorectal tumor and said one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SHKBP1, ACSL1, BCAR1, RAB25, PRTN3, LSR and combinations thereof.

In one embodiment of the kit, the one or more probe comprises the sequence of one or more of SEQ ID NO: 1 to SEQ ID NO: 577, or a sequence sharing at least 75% sequence identity thereto.

Definitions

The term “treatment”, “treat” and “therapy”, and synonyms thereof as used herein refer to both therapeutic treatment and prophylactic or preventative measures, wherein the object is to prevent or slow down (lessen) a medical condition, which includes but is not limited to diseases (such as cancer), symptoms and disorders. A medical condition also includes a body's response to a disease or disorder, e.g. inflammation. Those in need of such treatment include those already with a medical condition as well as those prone to getting the medical condition or those in whom a medical condition is to be prevented.

The term “subject” as used herein includes patients and non-patients. The term “patient” refers to individuals suffering or are likely to suffer from a medical condition such as cancer, while “non-patients” refer to individuals not suffering and are likely to not suffer from the medical condition. “Non-patients” include healthy individuals, non-diseased individuals and/or an individual free from the medical condition. The term “subject” includes humans and animals. Animals include murine and the like. “Murine” refers to any mammal from the family Muridae, such as mouse, rat, and the like.

The term “micro” as used herein is to be interpreted broadly to include dimensions from about 1 micron to about 1000 microns.

The term “nano” as used herein is to be interpreted broadly to include dimensions less than about 1000 nm.

The term “particle” as used herein broadly refers to a discrete entity or a discrete body. The particle described herein can include an organic, an inorganic or a biological particle. The particle used described herein may also be a macro-particle that is formed by an aggregate of a plurality of sub-particles or a fragment of a small object. The particle of the present disclosure may be spherical, substantially spherical, or non-spherical, such as irregularly shaped particles or ellipsoidally shaped particles. The term “size” when used to refer to the particle broadly refers to the largest dimension of the particle. For example, when the particle is substantially spherical, the term “size” can refer to the diameter of the particle; or when the particle is substantially non-spherical, the term “size” can refer to the largest length of the particle.

The terms “coupled” or “connected” as used in this description are intended to cover both directly connected or connected through one or more intermediate means, unless otherwise stated.

The term “associated with”, used herein when referring to two elements refers to a broad relationship between the two elements. The relationship includes, but is not limited to a physical, a chemical or a biological relationship. For example, when element A is associated with element B, elements A and B may be directly or indirectly attached to each other or element A may contain element B or vice versa.

The term “adjacent” used herein when referring to two elements refers to one element being in close proximity to another element and may be but is not limited to the elements contacting each other or may further include the elements being separated by one or more further elements disposed therebetween.

The term “and/or”, e.g., “X and/or Y” is understood to mean either “X and Y” or “X or Y” and should be taken to provide explicit support for both meanings or for either meaning.

Further, in the description herein, the word “substantially” whenever used is understood to include, but not restricted to, “entirely” or “completely” and the like. In addition, terms such as “comprising”, “comprise”, and the like whenever used, are intended to be non-restricting descriptive language in that they broadly include elements/components recited after such terms, in addition to other components not explicitly recited. For example, when “comprising” is used, reference to a “one” feature is also intended to be a reference to “at least one” of that feature. Terms such as “consisting”, “consist”, and the like, may in the appropriate context, be considered as a subset of terms such as “comprising”, “comprise”, and the like. Therefore, in embodiments disclosed herein using the terms such as “comprising”, “comprise”, and the like, it will be appreciated that these embodiments provide teaching for corresponding embodiments using terms such as “consisting”, “consist”, and the like. Further, terms such as “about”, “approximately” and the like whenever used, typically means a reasonable variation, for example a variation of +/−5% of the disclosed value, or a variance of 4% of the disclosed value, or a variance of 3% of the disclosed value, a variance of 2% of the disclosed value or a variance of 1% of the disclosed value.

Furthermore, in the description herein, certain values may be disclosed in a range. The values showing the end points of a range are intended to illustrate a preferred range. Whenever a range has been described, it is intended that the range covers and teaches all possible sub-ranges as well as individual numerical values within that range. That is, the end points of a range should not be interpreted as inflexible limitations. For example, a description of a range of 1% to 5% is intended to have specifically disclosed sub-ranges 1% to 2%, 1% to 3%, 1% to 4%, 2% to 3% etc., as well as individually, values within that range such as 1%, 2%, 3%, 4% and 5%. It is to be appreciated that the individual numerical values within the range also include integers, fractions and decimals. Furthermore, whenever a range has been described, it is also intended that the range covers and teaches values of up to 2 additional decimal places or significant figures (where appropriate) from the shown numerical end points. For example, a description of a range of 1% to 5% is intended to have specifically disclosed the ranges 1.00% to 5.00% and also 1.0% to 5.0% and all their intermediate values (such as 1.01%, 1.02% . . . 4.98%, 4.99%, 5.00% and 1.1%, 1.2% . . . 4.8%, 4.9%, 5.0% etc.,) spanning the ranges. The intention of the above specific disclosure is applicable to any depth/breadth of a range.

Additionally, when describing some embodiments, the disclosure may have disclosed a method and/or process as a particular sequence of steps. However, unless otherwise required, it will be appreciated that the method or process should not be limited to the particular sequence of steps disclosed. Other sequences of steps may be possible. The particular order of the steps disclosed herein should not be construed as undue limitations. Unless otherwise required, a method and/or process disclosed herein should not be limited to the steps being carried out in the order written. The sequence of steps may be varied and still remain within the scope of the disclosure.

Furthermore, it will be appreciated that while the present disclosure provides embodiments having one or more of the features/characteristics discussed herein, one or more of these features/characteristics may also be disclaimed in other alternative embodiments and the present disclosure provides support for such disclaimers and these associated alternative embodiments.

DESCRIPTION OF EMBODIMENTS

Exemplary, non-limiting embodiments of a method of estimating a disease burden, such as a ctDNA burden, in a subject and related kits and methods are disclosed hereinafter.

In various embodiments, there is provided a method of estimating, predicting and/or determining one or more of: a disease burden, a cancer burden, a tumor burden, a circulating tumor DNA (ctDNA) burden, a level of ctDNA, an amount of ctDNA, a proportion of ctDNA, a fraction of ctDNA and a ctDNA content in a subject. In various embodiments, the method comprises determining in a sample obtained from the subject, a level, an amount, a proportion, a fraction and/or a content of DNA, optionally cell-free DNA (cfDNA), that aligns with, belongs to, maps to, corresponds to, is similar to and/or identical to at least one genomic region, and estimating, predicting and/or determining one or more of: the disease burden, the cancer burden, the tumor burden, the ctDNA burden, the level of ctDNA, the amount of ctDNA, the proportion of ctDNA, the fraction of ctDNA and/or the ctDNA content in the subject based on the level, the amount, the proportion, the fraction and/or the content of DNA. In some embodiments, the disease burden, the cancer burden, the tumor burden, the ctDNA burden, the level of ctDNA, the amount of ctDNA, the proportion of ctDNA, the fraction of ctDNA and/or the ctDNA content comprises the absolute disease burden, cancer burden, tumor burden, ctDNA burden, level of ctDNA, amount of ctDNA, proportion of ctDNA, fraction of ctDNA and/or ctDNA content.

The estimation, prediction and/or determination may be quantitative, semi-quantitative or qualitative. In various embodiments, the disease burden, the cancer burden, the tumor burden, the ctDNA burden, the level of ctDNA, the amount of ctDNA, the proportion of ctDNA, the fraction of ctDNA and/or the ctDNA content is associated with or correlates with the level, the amount, the proportion, the fraction and/or the content of DNA, optionally cfDNA, in the subject.

In various embodiments, the at least one genomic region comprises a gene. In various embodiments, the at least one genomic region comprises a coding region. In various embodiments, the at least one genomic region comprises a non-coding region (e.g. a region that is far away from genes, a regulatory region such as enhancer etc.). In various embodiments, the at least one genomic region comprises a nucleosome-depleted region (NDR). In various embodiments, the nucleosome-depleted region comprises a gene. In various embodiments, the nucleosome-depleted region comprises a coding region. In various embodiments, the nucleosome-depleted region comprises a non-coding region.

In various embodiments, the at least one genomic region comprises at least one coding region/gene and at least one non-coding region. In various embodiments, determining in the sample a level (or an amount, a proportion, a fraction and/or a content) of DNA that maps to (or aligns with, corresponds to, belongs to, is similar to and/or is identical to) at least one genomic region comprises determining a level of DNA that maps to each of a plurality of genomic regions, the plurality of genomic regions comprising a greater number/proportion of coding region(s)/gene(s) than non-coding region(s). In other words, in various embodiments, the non-coding regions make up a small/minority set of the plurality of regions that are being mapped to.

A NDR may be a region that has a relatively low nucleosome occupancy level. For example, a promoter region upstream of a transcriptional start site (TSS) often displays low nucleosome occupancy level for a typical gene. For example, regulatory regions tend to be nucleosome depleted. In various embodiments, the at least one NDR comprises a transcription start site, a promoter, an intron-exon junction and/or an exon-intron junction. An intron-exon junction may be a first intron-exon junction, a second intron-exon junction, a third intron-exon junction, a fourth intron-exon junction etc. An exon-intron junction may be a first exon-intron junction, a second exon-intron junction, a third exon-intron junction, a fourth exon-intron junction etc. In various embodiments, the NDR is selected from the group consisting of: a promoter region, a first exon-intron junction and combinations thereof. In various examples, cfDNA coverage/degradation pattern at a first exon-intron junction and/or a promoter region is found to possess the capability or better capability to infer gene expression and/or predict ctDNA burden.

In various embodiments, the NDR comprises the NDR of a gene which is differentially expressed in healthy blood tissue/cell and diseased tissue/cell. In various embodiments, the NDR comprises the NDR of a gene which transcript is differentially expressed in healthy blood tissue/cell and diseased tissue/cell. Because a gene usually comprises multiple alternative transcripts with different genomic positions, determining the gene expression at the transcript level (as compared to at the gene level) may allow for a more precise mapping of the NDR e.g. the promoter and junction locations. A gene which transcript is differentially expressed in healthy blood tissue/cell and diseased tissue/cell may be identified by RNA sequencing or any other suitable methods known in the art. A gene which transcript is differentially expressed in healthy blood tissue/cell and diseased tissue/cell may also be identified by analysing transcript expression data available at public databases e.g. the Genotype-Tissue Expression (GTEx) project, The Cancer Genome Atlas (TCGA) program etc. A transcript which is differentially expressed in healthy blood tissue/cell and diseased tissue/cell may have different FPKM (fragments per kilobase of transcript per million mapped fragments/reads) or RPKM (Reads Per Kilobase of transcript, per Million mapped reads), or TPM (Transcripts Per Million) values in healthy blood tissue/cell and in diseased tissue/cell (e.g. as determined by sequencing).

In various embodiments, the difference in the expression or FPKM/RPKM/TPM value of the transcript in healthy blood tissue/cell and in diseased tissue/cell is at least about 10%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90% or at least about 100%. In various embodiments, the difference in the expression of the transcript FPKM/RPKM/TPM value in healthy blood tissue/cell and in diseased tissue/cell is at least about 0.1 fold, at least about 0.2 fold, at least about 0.3 fold, at least about 0.4 fold, at least about 0.5 fold, at least about 0.6 fold, at least about 0.7 fold, at least about 0.8 fold, at least about 0.9 fold, at least about 1 fold, at least about 2 fold, at least about 3 fold, at least about 4 fold, at least about 5 fold, at least about 6 fold, at least about 7 fold, at least about 8 fold, at least about 9 fold, at least about 10 fold, at least about 11 fold, at least about 12 fold, at least about 13 fold, at least about 14 fold or at least about 15 fold. In various embodiments, the difference in the expression of the transcript FPKM/RPKM/TPM value in healthy blood tissue/cell and in diseased tissue/cell is at least about 0.1 times, at least about 0.2 times, at least about 0.3 times, at least about 0.4 times, at least about 0.5 times, at least about 0.6 times, at least about 0.7 times, at least about 0.8 times, at least about 0.9 times, at least about 1 times, at least about 2 times, at least about 3 times, at least about 4 times, at least about 5 times, at least about 6 times, at least about 7 times, at least about 8 times, at least about 9 times, at least about 10 times, at least about 11 times, at least about 12 times, at least about 13 times, at least about 14 times or at least about 15 times. In various embodiments, the FPKM/RPKM/TPM value comprises a median FPKM/RPKM/TPM value obtained from a plurality of healthy blood tissue/cell samples and/or a plurality of diseased tissue/cell samples.

In various embodiments, the NDR is degraded to different extents in healthy blood tissue/cell and in blood tissue/cell of a diseased subject. In various embodiments, the NDR has different degradation patterns/signals in healthy blood tissue/cell and in blood tissue/cell of a diseased subject. For example, when sequencing cfDNA in a healthy blood tissue/cell sample and in blood tissue/cell sample of a diseased subject, a greater or smaller number/amount (i.e. a substantially different or non-identical number/amount) of fragments/reads may map to the NDR in the healthy blood tissue/cell sample as compared to the blood tissue/cell sample of the diseased subject. For example, when sequencing cfDNA in a healthy blood tissue/cell sample and in a blood tissue/cell sample of a diseased subject, the read depth or coverage of the NDR may be higher or lower in the healthy blood tissue/cell sample as compared to the blood tissue/cell sample of a diseased subject. In various embodiments therefore, the NDR has different (or non-similar or non-identical) read depth or coverage in healthy blood tissue/cell and in blood tissue/cell of a diseased subject.

The read depth or coverage of a NDR may comprise a relative read depth or relative coverage of the NDR. A relative read depth or relative coverage of a NDR may be obtained, for example, by normalizing/dividing the raw read depth/coverage across the NDR (or optionally a mean raw read depth/coverage across the NDR for multiple samples/runs) by a normalization factor. In one example, the normalization factor comprises the read depth or coverage (or optionally a mean read depth/coverage for multiple samples/runs) of region(s) flanking the NDR e.g. the flanking upstream and/or downstream regions. In one example, the normalization factor is the mean coverage of the upstream and downstream flanks of the NDR. In one example therefore, the relative read depth or relative coverage of a NDR is the mean raw read depth/coverage across the NDR divided by the mean raw read depth/coverage of the upstream and downstream flanks.

In some embodiments, the flanking region(s) is immediately upstream or downstream of the NDR, or contiguous with the NDR. In some embodiments, the flanking region(s) is separated from the NDR by one or more nucleotides/bases. In various embodiments, the flanking region(s) is no more than about 5000 base pairs (bp), no more than about 4500 bp, no more than about 4000 bp, no more than about 3500 bp, no more than about 3000 bp, no more than about 2500 bp or no more than about 2000 bp from the NDR or an end of the NDR. In various embodiments, the flanking region(s) is at least about 50 bp, at least about 100 bp, at least about 150 bp, at least about 200 bp, at least about 250 bp, at least about 300 bp, at least about 350 bp, at least about 400 bp, at least about 450 bp, at least about 500 bp, at least about 550 bp, at least about 600 bp, at least about 650 bp, at least about 700 bp, at least about 750 bp, at least about 800 bp, at least about 850 bp, at least about 900 bp, at least about 950 bp, or least about 1000 bp from the NDR or an end of the NDR.

In various embodiments, the size/length of flanking region(s) is at least about 50 bp, at least about 100 bp, at least about 150 bp, at least about 200 bp, at least about 250 bp, at least about 300 bp, at least about 350 bp, at least about 400 bp, at least about 450 bp, at least about 500 bp, at least about 550 bp, at least about 600 bp, at least about 650 bp, at least about 700 bp, at least about 750 bp, at least about 800 bp, at least about 850 bp, at least about 900 bp, at least about 950 bp, or least about 1000 bp.

In one example, the NDR is about −300 bp to about 300 bp, about −200 bp to about 100 bp or about −150 bp to about 50 bp relative to a transcription start site (TSS) and the normalization factor is the mean coverage of an upstream flank that is about −2000 bp to about −1000 bp relative to the TSS and a downstream flank that is about 1000 bp to about 2000 bp relative to the TSS.

In various embodiments, a NDR that is degraded to different extents in healthy blood tissue/cell and in blood tissue/cell of a diseased subject may be identified by comparing the relative depth/coverage of the NDR in healthy blood tissue/cell and in the blood tissue/cell of a diseased subject. For example, if the relative depth/coverage of the NDR in healthy blood tissue/cell and in the blood tissue/cell of a diseased subject are different, the NDR is considered to a NDR that is degraded to different extents in healthy blood tissue/cell and in blood tissue/cell of a diseased subject. In various embodiments, determining the relative depth/coverage of a NDR in healthy blood tissue/cell and/or in blood tissue/cell of a diseased subject comprises determining the coverage of each position in an about 8 k-bp window, about 6 k-bp window, about 4 k-bp window, about 2 k-bp window or about 1 k-bp window spanning from about −4000 to +4000 bp, from about −3000 to +3000 bp, from about −2000 to +2000 bp, from about −1000 to +1000 bp or from about −500 to +500 bp with respect the NDR (e.g. end(s) of the NDR); and optionally normalizing the coverage by the mean coverage of the upstream region (e.g. −8000 to −4000 bp, −4000 to −2000 bp, −3000 to −1000 bp, −2000 to −1000 bp or −1000 to −500 bp with respect to the NDR (e.g. end(s) of the NDR)) and/or downstream region (e.g. +4000 bp to +8000 bp, +2000 to +4000 bp, +1000 to +3000 bp+1000 to +2000 bp or +500 to +1000 bp with respect to the NDR (e.g. end(s) of the NDR) to obtain a relative depth/coverage for the NDR. In some examples, the coverage of each position in a region located downstream of a NDR (e.g. a promoter) is determined. In some examples, the coverage of each position in a region located from about −350 bp to about −50 bp or from about −300 to about −100 bp with respect a NDR (e.g. an end of a first exon) is determined.

In various embodiments, the difference in read depth or coverage (or relative read depth or coverage) in healthy blood tissue/cell and in blood tissue/cell of a diseased subject is measured by computing a coverage score (or relative coverage score). In various embodiments, the coverage score (or relative coverage score) is computed by the following formula:

$score = \frac{mean (diseased) - mean (healthy)}{\sqrt{s . d . (diseased)}}$

where mean(diseased) and mean(healthy) are the mean of average coverages (or relative coverages) at NDRs across diseased blood tissue/cell (e.g. plasma samples of diseased subjects) and healthy blood tissue/cell (e.g. healthy plasma samples) respectively, and s.d. (diseased) is the standard deviation of average coverages (or relative coverages) at NDRs across diseased blood tissue/cell.

In various embodiments, the coverage values negatively correlate with expression level. In some examples therefore, blood genes/transcripts (e.g. genes/transcripts show a higher FPKM value in normal blood than in tumor) have a higher coverage in diseased samples than in healthy samples. Thus, the blood genes/transcripts have a positive value of relative coverage score, as mean(diseased)>mean(healthy). In some examples, tumor genes/transcripts (e.g. genes/transcripts show a higher FPKM value in tumor than in normal blood) have a lower coverage in disease samples than in healthy samples. Thus, the tumor genes have a negative value of relative coverage score, as mean(diseased)<mean(healthy).

In various embodiments, the NDR has a coverage score or relative coverage score of less than about 0 and/or more than about 0. In various embodiments, the NDR has a coverage score or relative coverage score of less than about −0.1, less than about −0.2, less than about −0.3, less than about −0.4, less than about −0.5, less than about −0.6, less than about −0.7, less than about −0.8, less than about −0.9 or less than about −1.0. In various embodiments, the NDR has a coverage score or relative coverage score of more than about 0.1, more than about 0.2, more than about 0.3, more than about 0.4, more than about 0.5, more than about 0.6, more than about 0.7, more than about 0.8, more than about 0.9 or more than about 1.0.

As used herein, “blood”, “blood tissue” or “blood sample” refers to whole blood or fractions thereof, such as a plasma fraction or a serum fraction. As used herein “healthy blood”, “healthy blood tissue” or “healthy blood sample” refers to the whole blood or fractions thereof of a healthy subject, or a subject who does not suffer from the disease. Conversely, “diseased blood”, “diseased blood tissue” or “diseased blood sample” as used herein refers to the whole blood or fractions thereof of a diseased subject, or a subject who suffers from the disease. In various embodiments, “diseased blood”, “diseased blood tissue” or “diseased blood sample” does not indicate that a disease necessarily resides in the blood per se. For example, “diseased blood”, “diseased blood tissue” or “diseased blood sample” may refer to the blood, tissue or sample of a subject suffering from colorectal cancer and having no blood diseases, and “healthy blood”, “healthy blood tissue” or “healthy blood sample” may refer to the blood, tissue or sample of a subject who does not suffer from colorectal cancer.

In various embodiments, the sample obtained from the subject comprises a liquid sample. In various embodiments, the sample comprises a biological fluid sample. In various embodiments, the liquid/biological fluid sample comprises one or more of blood, serum, plasma, sputum, lavage fluid, cerebrospinal fluid, interstitial fluid, urine, feces, milk, semen, sweat, tears, saliva, and the like. In various embodiments, the sample comprises a blood sample (e.g. whole blood sample or processed fractions thereof). In various embodiments, the sample comprises a plasma sample. In various embodiments, the sample comprises cfDNA. In various embodiments, the sample comprises cfDNA, for example, cfDNA extracted/isolated/purified from a blood sample obtained from the subject.

In various embodiments, the disease comprises a proliferative disease and the diseased tissue/cell comprises a proliferative tissue/cell. In various embodiments, the disease comprises a malignant disease and the diseased tissue/cell comprises a malignant tissue/cell. In various embodiments, the malignant disease comprises cancer and the diseased tissue/cell comprises a cancer tissue/cell. In various embodiments, the cancer comprises solid tumor cancers.

In various embodiments therefore, there is provided a method of estimating a ctDNA burden in a subject, the method comprising: determining in a blood sample obtained from the subject, a level of cfDNA that maps to one or more nucleosome-depleted region (NDR); and estimating the ctDNA burden based on said level of cfDNA, wherein said NDR (i) comprises the NDR of a gene which transcript is differentially expressed between healthy blood tissue and tumor tissue and/or (ii) is degraded to different extents between healthy blood tissue and blood tissue of a tumor-bearing subject. Advantageously, a level of cfDNA that maps to selected NDR(s) is identified to be a good estimator of or proxy for tumor burden or ctDNA burden.

In various embodiments, the estimated ctDNA burden associates/correlates, optionally positively associates/correlates with a tumor burden in the subject. In various embodiments, the higher the estimated ctDNA burden in the subject, the higher the tumor burden in the subject. In various embodiments, the higher the estimated ctDNA burden in the subject, the higher the estimated amount of cancer/tumor cells in the subject. In various embodiments, the higher the estimated ctDNA burden in the subject, the higher the estimated mass/size/volume of tumor in the subject. In various embodiments, the association/correlation, optionally positive association/correlation, may be linear (i.e. the ratio of change is constant) or non-linear (i.e. the ratio of change is not constant).

In various embodiments, the estimated ctDNA burden is associated/correlated with the level of cfDNA that maps to one or more NDRs. The association/correlation may be positive and/or negative, linear and/or non-linear and monotonic and/or non-monotonic. For example, the estimated ctDNA burden may be positively associated/correlated with the level of cfDNA that maps to a first NDR and negatively associated/correlated with the level of cfDNA burden that maps to a second NDR. For example, the estimated ctDNA burden may be linearly associated/correlated (e.g. positive or negative) with the level of cfDNA that maps to a first NDR and non-linearly associated/correlated with the level of cfDNA burden that maps to a second NDR. For example, the estimated ctDNA burden may be monotonically associated/correlated with the level of cfDNA that maps to a first NDR and non-monotonically associated/correlated with the level of cfDNA that maps to a second NDR.

In one example, the signs of the coefficients for the one or more NDRs in a trained model correspond to the sign of the differential expression of the associated transcripts in tumor tissue relative to healthy blood tissue. In various embodiments, an NDR associated with a cancer-specific gene/transcript or a tumor gene/transcript (e.g. a gene/transcript that shows a higher FPKM value in tumor than in normal blood) has a negative coefficient/correlation with the estimated ctDNA burden. In various embodiments, an NDR associated with a blood gene/transcript (e.g. a gene/transcript that shows a higher FPKM value in normal blood than in tumor) has a positive coefficient/correlation with the estimated ctDNA burden. In various embodiments, the estimated ctDNA burden is negatively associated/correlated with a level of cfDNA that maps to one or more NDR of a gene which transcript is more highly expressed in tumor tissue than in healthy blood tissue and/or the estimated ctDNA burden is positively associated/correlated with a level of cfDNA that maps to one or more NDR of a gene which transcript is more highly expressed in healthy blood tissue than in tumor tissue. In some embodiments, the estimated ctDNA burden is linearly correlated with the level of cfDNA that maps to one or more NDRs.

In various embodiments, the determining step comprises sequencing the DNA or cfDNA present in the blood sample obtained from the subject. Examples of sequencing techniques include next-generation sequencing, amplicon-based sequencing, paired-end sequencing, Sanger sequencing etc. In some embodiments, sequencing the DNA or cfDNA present in the blood sample comprises subjecting the DNA or cfDNA present in the blood sample to deep sequencing. In one embodiment, sequencing the DNA or cfDNA present in the blood sample comprises subjecting the DNA or cfDNA present in the blood sample to next-generation sequencing. In some examples, deep sequencing is performed such that the depth/coverage at the one or more NDR/at least one NDR is at least about 10×, at least about 25×, at least about 50×, at least about 100×, at least about 200×, at least about 300×, at least about 400×, at least about 500×, at least about 600×, at least about 700×, at least about 800×, at least about 900× or at least about 1000×, at least about 2000×, at least about 3000×, at least about 4000×, at least about 5000× or at least about 6000×. In various embodiments, the sequencing does not comprise ultra-deep sequencing. In various embodiments, the depth/coverage at the one or more NDR/at least one NDR is or is kept to less than about 10,000×, less than about 9000×, less than about 8000×, less than about 7000×, less than about 6000×, less than about 5000×, less than about 4000×, less than about 3000×, less than about 2000× or less than about 1000×. In various embodiments, the depth/coverage at the one or more NDR/at least one NDR is or is kept to no more than about 10,000×, no more than about 9000×, no more than about 8000×, no more than about 7000×, no more than about 6000×, no more than about 5000×, no more than about 4000×, no more than about 3000×, no more than about 2000× or no more than about 1000×.

In various embodiments, determining in a blood sample obtained from the subject, a level of cfDNA that maps to one or more NDR comprises sequencing cfDNA/cfDNA fragments in the blood sample to obtain sequencing reads; and determining the number of sequencing reads that align with the one or more NDR to obtain said level of cfDNA that maps to one or more NDR. In various embodiments, determining in a blood sample obtained from the subject, a level of cfDNA that maps to one or more NDR comprises sequencing any cfDNA/cfDNA fragments present in the blood sample and determining the depth/read depth/coverage/sequencing coverage at the one or more NDR. The depth/read depth/coverage may be a relative depth/read depth/coverage/sequencing coverage. For example, the depth/read depth/coverage/sequencing coverage may be normalized/divided by a normalization factor, for example, a normalization factor as described herein, to obtain the relative depth/read depth/coverage/sequencing coverage. In one example, the relative depth/read depth/coverage/sequencing coverage is obtained by dividing/normalizing the depth/read depth/coverage/sequencing coverage (or mean depth/read depth/coverage/sequencing coverage) across the one or more NDR by the depth/read depth/coverage/sequencing coverage (or mean depth/read depth/coverage/sequencing coverage) of an upstream flank and/or a downstream flank, for example, an upstream flanking region and/or a downstream flanking region as described herein. In some embodiments therefore, the method further comprises determining the number of sequencing reads that align with one or more regions flanking the one of more NDR. In some embodiments, the method further comprises determining the depth/read depth/coverage/sequencing coverage at the one or more region flanking the one of more NDR.

The sequencing may be targeted or untargeted. Where the sequencing comprises targeted sequencing, probe(s) may be used to capture and isolate specific genomic regions for sequencing. In some embodiments therefore, the method further comprises contacting the blood sample with one or more probe capable of binding to the one or more NDR to capture cfDNA/cfDNA fragments comprising the one or more NDR prior to the sequencing step.

In various embodiments, determining in a blood sample obtained from the subject, a level of cfDNA that maps to one or more NDR comprises performing quantitative polymerase chain reaction (qPCR) or real-time polymerase chain reaction (real-time PCR) to determine the amount/proportion of cfDNA that maps to one or more NDR. In various embodiments, the performing step comprises contacting the sample with a primer that is capable of hybridizing/binding (e.g. under stringent conditions) to or a primer that is specific to the one or more NDR.

In various embodiments, the method further comprises amplifying the cfDNA in the blood sample. The amplification step may be carried out before the step of determining a level of cfDNA. The amplification step may also be carried out before the step of sequencing cfDNA/cfDNA fragments in the blood sample and/or before the step of contacting the blood sample with the one or more probe. Amplification reactions known in the art may be employed. The amplification reactions may include but are not limited to polymerase chain reaction (PCR), ligase chain reaction (LCR), loop mediated isothermal amplification (LAMP), nucleic acid sequence based amplification (NASBA), self-sustained sequence replication (3SR), rolling circle amplification (RCA) or any other process whereby one or more copies of a particular polynucleotide sequence or nucleic acid sequence may be generated from a polynucleotide template sequence or nucleic acid template sequence.

In various embodiments, the method further comprises processing the cfDNA and/or its associated data. In various embodiments, the cfDNA are trimmed at one or both ends to retain only a central region and/or data associated with a central region of the cfDNA. Advantageously, trimming the cfDNA and/or its associated data from one or both ends to retain only a central region and/or data associated with a central region of the cfDNA may amplify a degradation signal and/or increases a coverage signal. In various embodiments, the trimmed cfDNA/central region is no more than about 70 bp, no more than about 60 bp or no more than about 50 bp in length. In various embodiments, the trimmed cfDNA/central region is about 70 bp, about 60 bp or about 50 bp in length. In one embodiment, the central region is about 61 bp. The method may also work with an untrimmed cfDNA (e.g. a cfDNA of about 151 bp), although the signal produced may be weaker.

In various embodiments, the cfDNA and/or its associated data are trimmed in-silico e.g. by use of the software BamUtil. In various embodiments, the cfDNA and/or its associated data are trimmed after sequencing.

In various embodiments, said NDR that is degraded to different extents between healthy blood tissue and blood tissue of a tumor-bearing subject comprises a NDR having different depth/read depth/coverage/sequencing coverage in healthy blood tissue and in tumor tissue.

In various embodiments, said transcript that is differentially expressed between healthy blood tissue and tumor tissue comprises a transcript which FPKM value differs by at least about 2 times, at least about 3 times, at least about 4 times, at least about 5 times, at least about 6 times, at least about 7 times, at least about 8 times, at least about 9 times or at least about 10 times between healthy blood tissue and tumor tissue (e.g. as determined by sequencing).

In various embodiments, said transcript that is differentially expressed between healthy blood tissue and tumor tissue comprises a transcript which FPKM value in healthy blood tissue is less than about 30, less than about 20, less than about 10, less than about 5, less than about 3, less than about 1, less than about 0.5, less than about 0.1, less than about 0.05 or less than about 0.01. In one embodiment, the FPKM value of the transcript in healthy blood tissue in less than about 1. In various embodiments, the FPKM value of the transcript in healthy blood tissue is more than about 0.01, more than about 0.05, more than about 0.1, more than about 0.5, more than about 1, more than about 3, more than about 5, more than about 10, more than about 20 or more than about 30. In one embodiment, the FPKM value of the transcript in healthy blood tissue is more than about 10. In various embodiments, the FPKM value of the transcript in healthy blood tissue is between about 0.01 and about 0.1, between about 0.1 and about 1, between about 1 and about 5 or between about 5 and about 30.

In various embodiments, said transcript that is differentially expressed between healthy blood tissue and tumor tissue comprises a transcript which FPKM value in tumor tissue is less than about 30, less than about 20, less than about 10, less than about 5, less than about 3, less than about 1, less than about 0.5, less than about 0.1, less than about 0.05 or less than about 0.01. In one embodiment, the FPKM value of the transcript in tumor tissue in less than about 1. In various embodiments, the FPKM value of the transcript in tumor tissue is more than about 0.01, more than about 0.05, more than about 0.1, more than about 0.5, more than about 1, more than about 3, more than about 5, more than about 10, more than about 20 or more than about 30. In one embodiment, the FPKM value of the transcript in tumor tissue is more than about 10. In various embodiments, the FPKM value of the transcript in tumor tissue is between about 0.01 and about 0.1, between about 0.1 and about 1, between about 1 and about 5 or between about 5 and about 30.

Some transcripts may be more highly expressed in healthy blood tissue than tumor tissue. In various embodiments, a blood transcript comprises a transcript that is more highly expressed in healthy blood tissue than tumor tissue. Some transcripts may be more highly expressed in tumor tissue than blood tissue. In various embodiments, a tumor transcript comprises a transcript that is more highly expressed in tumor tissue than blood tissue. The one or more NDR may comprise at least about 10%, at least about 20%, or at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90% or about 100% NDRs which transcripts more highly expressed in healthy blood tissue than tumor tissue. The one or more NDR may comprise at least about 10%, at least about 20%, or at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, at least about 90% or at about 100% NDRs which transcripts more highly expressed in tumor tissue than in blood tissue. The one or more NDR may comprise at least about one, at least about two or at least about three NDRs which transcripts more highly expressed in healthy blood tissue than tumor tissue and/or at least about one, at least about two or at least about three NDRs which transcripts are more highly expressed in tumor tissue than in blood tissue.

In various embodiments, said transcript which is differentially expressed in healthy blood tissue and tumor tissue is selected from the group consisting of: a transcript that is more highly expressed in healthy blood tissue than tumor tissue, a transcript that is more highly expressed in tumor tissue than healthy blood tissue and combinations thereof. In one embodiment, said transcript which is differentially expressed between blood tissue and tumor tissue consists of transcript(s) that is more highly expressed in tumor tissue than blood tissue. In one embodiment, said transcript which is differentially expressed between blood tissue and tumor tissue consists of transcript(s) that is more highly expressed in blood tissue than tumor tissue. In one embodiment, said transcript does not comprise a transcript which is more highly expressed in tumor tissue than blood tissue. Without being bound by theory, it is believed that tumor-derived DNA component in cancer plasma weakens the blood-specific DNA degradation pattern, and thus the decay of blood-specific signal (alone i.e. without determining the signal of any tumor-associated genes) may be used to robustly estimate a ctDNA content, regardless of cancer types.

In various embodiments therefore, the method is suitable for estimating a disease burden for a specific cancer type, a specific group of cancers, or for all cancers in general (i.e. pan-cancer). In various embodiments, the method comprises a method of estimating a ctDNA burden or tumor burden associated with one or more of the following cancers: bladder cancer, bladder urothelial carcinoma, breast cancer, breast invasive carcinoma, cervical cancer, cervical squamous cell carcinoma, endocervical adenocarcinoma, colorectal cancer, esophageal cancer, esophageal carcinoma, brain cancer, glioblastoma multiforme, head and neck cancer, head and neck squamous cell carcinoma, kidney cancer, renal cell cancer, kidney renal clear cell carcinoma, kidney renal papillary cell carcinoma, brain lower grade glioma, liver cancer, liver hepatocellular carcinoma, lung cancer, lung adenocarcinoma, lung squamous cell carcinoma, ovarian cancer, ovarian serous cystadenocarcinoma, pancreatic cancer, pancreatic adenocarcinoma, prostate cancer, prostate adenocarcinoma, skin cancer, skin cutaneous melanoma, gastric cancer, stomach cancer, stomach adenocarcinoma, thyroid cancer, thyroid carcinoma, endometrial cancer, uterine cancer, uterine corpus endometrial carcinoma, reproductive cancers, gastrointestinal cancers, respiratory cancers, or subtypes thereof. Thus, in various embodiments, the subject has or suffers from one or more of these cancers. In various embodiments, the tumor-bearing subject bears one or more of these tumors. In various embodiments, the subject or tumor-bearing subject does not have or does not suffer from blood cancer/hematologic cancer/hematologic malignancy.

In one embodiment, the method comprises a method of estimating a tumor burden associated with colorectal cancer. In one embodiment, the subject has or suffers from colorectal cancer. In one embodiment, the tumor-bearing subject bears a colorectal tumor. In one embodiment, the method comprises a method of estimating a ctDNA burden or tumor burden associated with breast cancer. In one embodiment, the subject has or suffers from breast cancer. In one embodiment, the tumor-bearing subject bears a breast tumor.

In one embodiment, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with a specific cancer type or a specific group of cancers, the NDR comprises at least one NDR of a gene which transcript shows a higher FPKM value in tumor belonging to the specific cancer type or the specific group of cancers than in healthy/normal blood. In some examples, the transcript has a FPKM_tumor>about 5 or >about 10 and a FPKM_blood<about 1. In one embodiment, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with any cancer in general (e.g. pan-cancer), the NDR comprises at least one NDR of a gene which transcript shows a higher FPKM value in normal blood than in tumor. In some examples, the transcript has a FPKM_blood>about 5 or >about 10 and a FPKM_tumor<about 1. In various embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with any cancer in general (e.g. pan-cancer), the NDR consists of NDR(s) of gene(s) which transcript(s) shows a higher FPKM value in normal blood than in tumor.

In various embodiments, the one or more NDR comprises at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, at least about ten, at least about 11, at least about 12, at least about 13, at least about 14, at least about 15, at least about 16, at least about 17, at least about 18, at least about 19 or at least about 20 NDRs. In various embodiments, the one or more NDR comprises the NDR of at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, at least about ten genes, at least about 11, at least about 12, at least about 13, at least about 14, at least about 15, at least about 16, at least about 17, at least about 18, at least about 19 or at least about 20 genes or distinct genes.

In some embodiments, the one or more NDR comprises at least about two NDRs, optionally about six NDRs, further optionally about ten NDRs. In some embodiments, the one or more NDR comprises the NDR of at least about two genes (or distinct genes), optionally about six genes (or distinct genes), further optionally about ten genes (or distinct genes). In some embodiments, the one or more NDR comprises at least about four NDRs or the NDRs of at least about four genes or distinct genes. In some embodiments, the one or more NDR comprises no more than about nine NDRs or NDRs of no more than about nine genes or distinct genes. In some embodiments, the one or more NDR comprises about four to about nine NDRs or NDRs of about four to about nine genes or distinct genes. In some embodiments, the one or more NDR comprises about six NDRs or NDRs of about six genes or distinct genes. In some embodiments, the one or more NDR comprises no more than about 13 NDRs or NDRs of no more than about 13 genes or distinct genes. In some embodiments, the one or more NDR comprises about nine, about 10, about 11, about 12 or about 13 NDRs or NDRs of about nine, about 10, about 11, about 12 or about 13 genes or distinct genes. The suitable number of NDRs, genes or features may be further varied, and is within the purview of a person skilled in the art. The number or the reasonable range of numbers of NDRs, genes or features may be determined, for example, by checking an error evolution with the number of top predictive genes or features (e.g. genes or features that are selected most frequently as being predictive by a machine learning model in multiple iterations).

In various embodiments, the NDRs/genes comprises one or more NDRs/genes listed in one or more of Table 1, Table 2, Table S3, Table S10, Table S14, Table S15, Table S16, Table S17, Table S18, Table S19, Table S20 and Table S21.

In various embodiments, the NDRs/genes comprises one or more, or at least about one, at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, or at least about ten of the following genes/associated NDRs (e.g. a transcription start site, a promoter, an intron-exon junction and/or an exon-intron junction): ABHD5, ABTB1, ACAP1, AC01, ACRBP, ACSL1, ADAM8, ADIRF, AGR2, AGR3, AHSP, AK2, AKNA, ALAS2, ALDH18A1, ALOX5, ANKS4B, ANPEP, AOAH, APOBEC3A, ARAP1, ARHGAP25, ARHGAP26, ARHGAP30, ARHGAP9, ARHGEF16, ARHGEF35, ARIDSA, ARRB2, ARSE, ATG16L2, ATP2A2, ATP2C2, ATP5G1, ATP5G3, ATP6V1B2, AXIN2, AZGP1, AZU1, B3GNT3, BATF2, BCAR1, BCL2L15, BCL2L2, BCL6, BDH1, BDH2, BEST1, BGN, BIN2, BIRCS, BMP4, BMX, BOK, BPI, BSPRY, BTK, BTNL8, C10orf54, C11orf21, C16orf54, C19orf33, C19orf35, C1orf162, C1orf210, C1orf228, C1QTNF5, C3, C5AR2, C6orf203, C6orf25, C8orf59, CA1, CA4, CALD1, CAMP, CAPNS, CARS2, CCDC88B, CCL20, CCM2, CCND3, CCR7, CD177, CD244, CD276, CD300E, CD300LB, CD300LF, CD37, CD44, CD53, CD55, CDC42SE1, CDCP1, CDH1, CDH17, CDHRS, CDK4, CDK5RAP2, CDX1, CEACAM1, CEACAM3, CEACAM4, CEACAM5, CELF2, CENPF, CFD, CFP, CFTR, CHCHD6, CHID1, CKB, CKMT1B, CLC, CLDN7, CLEC12A, CLEC4D, CLEC4E, CMTM2, CNN2, CORO1A, CORO7, COTL1, COX6C, CR1, CRB3, CSF3R, CTGF, CTNND1, CXCR1, CXCR2, CYBA, CYTH4, DDC, DDR1, DDX10, DEF8, DEFA1, DEFA1B, DEFA3, DEFA4, DENND1C, DENND3, DHRS13, DHX34, DMTN, DNAH17, DOCK2, DOK3, DPEP2, DYSF, ECE1, ECT2, EEF1E1, EFNA3, EGLN2, E124, ELANE, ELF3, EMP1, ENTPD2, ENTPD6, EPB42, EPCAM, EPHA2, EPS8L3, ERBB2, ERBB3, EVI2B, F3, FAM101A, FAM109A, FAM212B, FAM213B, FAM49B, FAM60A, FAM65B, FAM83E, FAM84A, FBL, FBXL5, FCAR, FCGR2A, FCGR3B, FCN1, FERMT1, FERMT3, FES, FFAR2, FGD3, FGFR4, FGFRL1, FGR, FKBP8, FLOT2, FMNL1, FN1, FOLR3, FOXA2, FPR1, FPR2, FUT2, FUT6, FUT7, GATA1, GBP3, GCA, GGT6, GJB2, GLRX3, GLT1D1, GMFG, GMNN, GNG2, GNLY, GOLT1A, GP9, GPC4, GPR35, GPRCSA, GPSM3, GPX2, GRAMD1A, GRAP2, GRTP1, GZMH, H2AFY2, HBA1, HBA2, HBB, HBD, HBG1, HBG2, HBM, HBQ1, HCK, HCLS1, HID1, HK3, HKDC1, HMBS, HMGB3, HMGCS2, HN1L, HNF4A, HTRA1, ICAM3, IFI30, IFITM1, IFITM2, IFT172, IKZF1, IL16, IL18RAP, IL1R2, IL1 RN, IL2RG, IL32, ILVBL, IMPDH1, INPP5D, IPO5, ITGA2B, ITGAL, ITGAM, ITGAX, ITGB2, ITGB4, JAK3, JUND, JUP, KCNAB2, KCNE1, KIAA1191, KIFC1, KLF1, LAD1, LAMB2, LAMC2, LAPTM5, LCP2, LDHA, LGALS3BP, LGALS4, LGMN, LILRA1, LILRA5, LILRB2, LILRB3, LIMD2, LIPH, LMNB1, LMO7, LPAR2, LRCH4, LRRC25, LSP1, LSR, LST1, LTB, LYL1, MACROD1, MAGED1, MAN2A2, MAP1LC3A, MEFV, MEP1A, MFAP4, MIS18A, MISP, MKNK1, MLKL, MMAB, MME, MMP11, MMP25, MMP7, MMP8, MORN2, MPO, MPP1, MPZL2, MRPL17, MSL3, MSRB1, MTIF2, MUC13, MX2, MXD3, MYL4, MYO1A, MYO1F, MYO1G, MZT2A, NABP1, NADK, NAIP, NAMPT, NARF, NBEAL2, NCF1, NCF2, NCF4, NDEL1, NDUFAF4, NDUFB5, NEK2, NFAM1, NFE2, NKG7, NLRC4, NLRC5, NLRP12, NNMT, NOX1, NQO1, NTMT1, NTPCR, NUPR1, OAZ1, ORM1, OSCAR, P2RX1, PADI2, PADI4, PALLD, PARVG, PDHA1, PDHX, PGD, PGLYRP1, PHC2, PHF21A, PHGR1, PHOSPHO1, PIK3R5, PIN4, PLB1, PLBD1, PLCB2, PLCD3, PLCG2, PLEKHA1, PLS3, POF1B, POLR2H, POSTN, PPBP, PPIL1, PPM1M, PPP1R16A, PPP1R1B, PRAM1, PRAP1, PREX1, PRKCB, PROCR, PROK2, PRR15, PRR15L, PRRC1, PRSS22, PRSS8, PRTN3, PSTPIP1, PTK2B, PTPN6, PYCR1, PYGL, R3HDM4, RAB24, RAB25, RAC2, RARRES2, RASAL3, RASGRP2, RASGRP4, RASSF2, REG4, RELT, REM2, RETN, RFC3, RGL4, RGS19, RHOD, RHPN2, RIN3, RNASE4, RND3, RNF166, RNF167, RPL41, RPS6KA1, RPS9, S100A12, S100A14, S100A8, S1PR4, SAP25, SASH3, SCNN1A, SCOC, SDCBP2, SEC11C, SECTM1, SELL, SEMA4D, SEPP1, SEPTIN10, SFN, SHKBP1, SIGLEC5, SIPA1, SIRPB1, SLC11A1, SLC12A9, SLC16A3, SLC25A37, SLC2A3, SLC2A8, SLC38A5, SLC39A5, SLC43A2, SLCO3A1, SMAP2, SMIM22, SNCA, SORD, SORL1, SPATS2L, SPI1, SRC, ST20, STAP2, STARD10, STAT5B, STEAP1, STK10, STX11, STXBP2, SULT2B1, SYTL3, TACC3, TAGAP, TALDO1, TBC1 D10C, TBX21, TBXAS1, TCEAL4, TFF3, THBS2, THEMIS2, TIMM8B, TINAGL1, TJP3, TLR6, TM4SF5, TMBIM6, TMC4, TMCC2, TMEM106C, TMEM126B, TMEM14A, TMEM14C, TMEM71, TMEM91, TMEM97, TMPRSS2, TMPRSS4, TNFRSF10C, TNS3, TOP2A, TPM1, TRAF3IP3, TREM1, TREML2, TRIM22, TRIM25, TSKU, TSPAN15, TSPAN8, TUBA4A, TUBB1, TYMS, TYROBP, UBE2C, UBE2D3, UBE2T, UGT8, UNC13D, UQCC2, URI1, USB1, USH1C, VARS, VASP, VAV1, VMP1, VNN2, VNN3, VPS51, VSTM1, VWA1, WAS, WDR12, WFS1, XPO6, ZAP70, ZDHHC18, ZDHHC19, ZDHHC9, ZNF467, ZWINT and parts thereof.

In some embodiments, the one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SHKBP1, ACSL1, BCAR1, RAB25, PRTN3, LSR, SLC11A1, NLRP12, HMBS, LILRB3, GP9, MX2, RASGRP4, ATG16L2 and combinations thereof. In some embodiments, the one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SLC11A1, NLRP12, PRTN3, HMBS, LILRB3, ACSL1, GP9, MX2, RASGRP4, ATG16L2 and combinations thereof. In some embodiments, the one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SHKBP1, ACSL1, BCAR1, RAB25, PRTN3, LSR and combinations thereof.

In various embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with a specific cancer type or a specific group of cancers, the NDR comprises one or more, or at least about one, at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, or at least about ten of the following genes/associated NDRs (e.g. a transcription start site, a promoter, an intron-exon junction and/or an exon-intron junction): ABTB1, ACAP1, ACO1, ACSL1, ADIRF, AGR2, AGR3, AK2, AKNA, ALDH18A1, ANKS4B, ARAP1, ARHGAP25, ARHGAP30, ARHGAP9, ARHGEF16, ARHGEF35, ARIDSA, ARRB2, ARSE, ATG16L2, ATP2A2, ATP2C2, ATP5G1, ATP5G3, AXIN2, AZGP1, B3GNT3, BATF2, BCAR1, BCL2L15, BCL2L2, BCL6, BDH1, BDH2, BEST1, BGN, BIN2, BIRCS, BMP4, BOK, BSPRY, C10orf54, C11orf21, C16orf54, C19orf33, C1orf162, C1orf210, C1QTNF5, C3, C5AR2, C6orf203, C8orf59, CA1, CALD1, CAMP, CAPNS, CCL20, CCM2, CCR7, CD177, CD276, CD300LF, CD37, CD44, CD55, CDC42SE1, CDCP1, CDH1, CDH17, CDHRS, CDK4, CDK5RAP2, CDX1, CEACAM1, CEACAM4, CEACAM5, CENPF, CFD, CFTR, CHCHD6, CHID1, CKB, CKMT1B, CLDN7, CLEC4E, CORO1A, COTL1, COX6C, CR1, CRB3, CSF3R, CTGF, CTNND1, CXCR1, CXCR2, DDC, DDR1, DDX10, DENND1C, DMTN, DOK3, DPEP2, ECT2, EEF1E1, EFNA3, E124, ELF3, EMP1, ENTPD2, ENTPD6, EPCAM, EPHA2, EPS8L3, ERBB2, ERBB3, EVI2B, F3, FAM101A, FAM109A, FAM212B, FAM213B, FAM60A, FAM65B, FAM83E, FAM84A, FBL, FBXL5, FCAR, FCGR2A, FCN1, FERMT1, FFAR2, FGD3, FGFR4, FGFRL1, FGR, FMNL1, FN1, FOLR3, FOXA2, FPR1, FUT2, FUT6, GATA1, GBP3, GGT6, GJB2, GLRX3, GLT1D1, GMFG, GMNN, GNLY, GOLT1A, GPC4, GPR35, GPRCSA, GPX2, GRTP1, GZMH, H2AFY2, HBB, HBD, HBG2, HBM, HBQ1, HCK, HID1, HK3, HKDC1, HMGB3, HMGCS2, HN1L, HNF4A, HTRA1, ICAM3, IFITM1, IFITM2, IFT172, IKZF1, IL1R2, IL1 RN, IL32, ILVBL, IPO5, ITGA2B, ITGAM, ITGB4, JUND, JUP, KIAA1191, KIFC1, LAD1, LAMB2, LAMC2, LDHA, LGALS3BP, LGALS4, LGMN, LILRB2, LILRB3, LIMD2, LIPH, LMNB1, LMO7, LRRC25, LSR, LST1, MACROD1, MAGED1, MAP1LC3A, MEP1A, MFAP4, MIS18A, MISP, MKNK1, MMAB, MME, MMP11, MMP25, MMP7, MMP8, MORN2, MPP1, MPZL2, MRPL17, MSRB1, MTIF2, MUC13, MXD3, MYL4, MYO1A, MYO1F, MZT2A, NAMPT, NCF1, NCF2, NCF4, NDUFAF4, NDUFB5, NEK2, NFAM1, NFE2, NKG7, NNMT, NOX1, NQO1, NTMT1, NTPCR, NUPR1, OAZ1, ORM1, OSCAR, P2RX1, PADI4, PALLD, PDHA1, PDHX, PGLYRP1, PHC2, PHGR1, PHOSPHO1, PIK3R5, PIN4, PLCD3, PLEKHA1, PLS3, POF1B, POLR2H, POSTN, PPIL1, PPM1M, PPP1R16A, PPP1R1B, PRAM1, PRAP1, PRKCB, PROCR, PRR15, PRR15L, PRRC1, PRSS22, PRSS8, PRTN3, PSTPIP1, PTPN6, PYCR1, RAB25, RARRES2, RASGRP2, RASGRP4, RASSF2, REG4, RETN, RFC3, RHOD, RHPN2, RIN3, RNASE4, RND3, RPL41, RPS6KA1, RPS9, S100A12, S100A14, S100A8, S1PR4, SCNN1A, SCOC, SDCBP2, SEC11C, SEPP1, SEPTIN10, SFN, SHKBP1, SIGLEC5, SIRPB1, SLC11A1, SLC25A37, SLC2A8, SLC39A5, SMIM22, SNCA, SORD, SPATS2L, SPI1, SRC, STAP2, STARD10, STEAP1, STX11, SULT2B1, SYTL3, TBC1D10C, TCEAL4, TFF3, THBS2, THEMIS2, TIMM8B, TINAGL1, TJP3, TM4SF5, TMBIM6, TMC4, TMEM106C, TMEM126B, TMEM14A, TMEM14C, TMEM71, TMEM91, TMEM97, TMPRSS2, TMPRSS4, TNFRSF10C, TNS3, TOP2A, TPM1, TRAF3IP3, TREM1, TRIM22, TSKU, TSPAN15, TSPAN8, TYMS, TYROBP, UBE2C, UBE2T, UGT8, UQCC2, URI1, USH1C, VARS, VAV1, VMP1, VNN2, VPS51, VSTM1, VWA1, WAS, WDR12, WFS1, XPO6, ZAP70, ZDHHC19, ZDHHC9, ZNF467 and ZWINT.

In some embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with a specific cancer type or a specific group of cancers, the NDR comprises one or more, or at least about one, at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, or at least about ten of the following genes/associated NDRs (e.g. a transcription start site, a promoter, an intron-exon junction and/or an exon-intron junction): ACAP1, ACSL1, ADIRF, ANKS4B, ARHGAP30, ARSE, ATP5G3, BCAR1, BCL6, BGN, BIN2, BMP4, C19orf33, C1orf162, C5AR2, CCR7, CD276, CD37, CD44, CDC42SE1, CDH17, CDK5RAP2, CHCHD6, CKB, CLDN7, CLEC4E, CTGF, DDX10, ELF3, ERBB3, F3, FAM101A, FAM65B, FAM84A, FBXL5, FCAR, FCN1, FERMT1, FFAR2, FOLR3, FOXA2, FUT2, GMFG, GPRC5A, GPX2, HBB, HBD, HID1, LAMC2, LDHA, LGALS4, LGMN, LIMD2, LRRC25, LSR, MAGED1, MPZL2, MRPL17, MXD3, MYO1A, NCF1, NCF2, NFE2, OAZ1, PHOSPHO1, PLCD3, POF1B, POSTN, PPP1R16A, PRAP1, PRR15L, PRSS8, PRTN3, RAB25, RASGRP4, RFC3, S100A12, SCOC, SDCBP2, SEPP1, SHKBP1, SLC11A1, SORD, SRC, STAP2, STARD10, STX11, SYTL3, TCEAL4, TFF3, TM4SF5, TMC4, TMEM126B, TMPRSS2, TNFRSF10C, TRAF3IP3, TREM1, TRIM22, TYMS, TYROBP, UBE2C, UGT8, UQCC2, VAV1, VNN2, WAS and ZDHHC9.

In some embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with a specific cancer type or a specific group of cancers, the NDR comprises one or more, or at least about one, at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, or at least about ten of the following genes/associated NDRs (e.g. a transcription start site, a promoter, an intron-exon junction and/or an exon-intron junction): ACSL1, ANKS4B, ARHGAP30, ATP5G3, B3GNT3, BCL6, BIN2, BMP4, C19orf33, C1orf162, CD37, CLEC4E, ERBB3, FBXL5, FCAR, FCN1, FERMT1, FFAR2, FOXA2, GMFG, HBB, HID1, ICAM3, LGALS4, LGMN, LSR, MXD3, MYO1A, NCF1, NCF2, NFE2, OAZ1, PHOSPHO1, PLCD3, PRAP1, PRSS8, PRTN3, RAB25, RASGRP4, SCOC, SDCBP2, SEPP1, SHKBP1, SYTL3, TFF3, TM4SF5, TMC4, TMPRSS2, TRAF3IP3, TRIM22, TYROBP, UGT8, VAV1 and WAS.

In some embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with a specific cancer type or a specific group of cancers, the NDR comprises the following: first exon-intron junction of SHKBP1, first exon-intron junction of ACSL1, first exon-intron junction of BCAR1, promoter of RAB25, promoter of PRTN3 and/or promoter of LSR.

In some embodiments, the method further comprises assigning the most weight to the level of cfDNA that maps to the first exon-intron junction of SHKBP1 and less weight to the level of cfDNA that maps to the other NDR(s) when estimating the ctDNA burden. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the first exon-intron junction of SHKBP1 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the first exon-intron junction of ACSL1, the first exon-intron junction of BCAR1, the promoter of RAB25, the promoter of LSR and the promoter of PRTN3. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the first exon-intron junction of ACSL1 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the first exon-intron junction of BCAR1, the promoter of RAB25, the promoter of LSR and the promoter of PRTN3. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the first exon-intron junction of BCAR1 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of RAB25, the promoter of LSR and the promoter of PRTN3. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of RAB25 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of LSR and the promoter of PRTN3. In various embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of LSR and relatively less weight to the level of cfDNA that maps to the promoter of PRTN3. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to a first exon-intron junction and relatively less weight to the level of cfDNA that maps to a promoter.

In various embodiments, the specific cancer type or specific group of cancers comprises colorectal cancer.

In various embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with any cancer or cancer in general (pan cancer), the NDR comprises one or more, or at least about one, at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, or at least about ten of the following genes/associated NDRs (e.g. a transcription start site, a promoter, an intron-exon junction and/or an exon-intron junction): ABHD5, ABTB1, ACAP1, ACRBP, ACSL1, ADAM8, AHSP, AKNA, ALAS2, ALOX5, ANPEP, AOAH, APOBEC3A, ARAP1, ARHGAP26, ARHGAP9, ARID5A, ARRB2, ATG16L2, ATP6V1B2, AZU1, BIN2, BMX, BPI, BTK, BTNL8, C11orf21, C19orf35, C1orf162, C1orf228, C6orf25, CA1, CA4, CAMP, CARS2, CCDC88B, CCND3, CD177, CD244, CD300E, CD300LB, CD37, CD44, CD53, CDK5RAP2, CEACAM3, CEACAM4, CELF2, CFP, CLC, CLEC12A, CLEC4D, CLEC4E, CMTM2, CNN2, CORO1A, CORO7, CR1, CSF3R, CXCR1, CXCR2, CYBA, CYTH4, DEF8, DEFA1, DEFA1B, DEFA3, DEFA4, DENND1C, DENND3, DHRS13, DHX34, DMTN, DNAH17, DOCK2, DOK3, DYSF, ECE1, EGLN2, ELANE, EPB42, FAM49B, FAM65B, FBXL5, FCAR, FCGR2A, FCGR3B, FCN1, FERMT3, FES, FFAR2, FGD3, FGR, FKBP8, FLOT2, FMNL1, FOLR3, FPR2, FUT7, GATA1, GCA, GNG2, GNLY, GP9, GPSM3, GRAMD1A, GRAP2, HBA1, HBA2, HBB, HBD, HBG1, HBG2, HBM, HBQ1, HCK, HCLS1, HK3, HMBS, ICAM3, IFI30, IFITM1, IFITM2, IL16, IL18RAP, IL1R2, IL2RG, IMPDH1, INPP5D, ITGA2B, ITGAL, ITGAM, ITGAX, ITGB2, JAK3, KCNAB2, KCNE1, KLF1, LAPTM5, LCP2, LILRA1, LILRA5, LILRB2, LILRB3, LPAR2, LRCH4, LSP1, LST1, LTB, LYL1, MAN2A2, MEFV, MKNK1, MLKL, MMP25, MMP8, MPO, MPP1, MSL3, MSRB1, MX2, MXD3, MYL4, MYO1F, MYO1G, NABP1, NADK, NAIP, NAMPT, NARF, NBEAL2, NCF1, NCF2, NDEL1, NFE2, NLRC4, NLRC5, NLRP12, P2RX1, PADI2, PADI4, PARVG, PGD, PGLYRP1, PHF21A, PHOSPHO1, PIK3R5, PLB1, PLBD1, PLCB2, PLCG2, PPBP, PRAM1, PREX1, PROK2, PRTN3, PSTPIP1, PTK2B, PTPN6, PYGL, R3HDM4, RAB24, RAC2, RASAL3, RASGRP2, RASGRP4, RELT, REM2, RGL4, RGS19, RIN3, RNF166, RNF167, SAP25, SASH3, SECTM1, SELL, SEMA4D, SHKBP1, SIGLEC5, SIPA1, SIRPB1, SLC11A1, SLC12A9, SLC16A3, SLC2A3, SLC38A5, SLC43A2, SLCO3A1, SMAP2, SORL1, SPI1, ST20, STAT5B, STK10, STXBP2, TACC3, TAGAP, TALDO1, TBC1D10C, TBX21, TBXAS1, THEMIS2, TLR6, TMCC2, TMEM71, TNFRSF10C, TRAF3IP3, TREML2, TRIM25, TUBA4A, TUBB1, UBE2D3, UNC13D, USB1, VASP, VAV1, VMP1, VNN3, VSTM1, WAS, XPO6, ZAP70, ZDHHC18 and ZDHHC19.

In some embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with any cancer or cancer in general (pan cancer), the NDR comprises one or more, or at least about one, at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, or at least about ten of the following genes/associated NDRs (e.g. a transcription start site, a promoter, an intron-exon junction and/or an exon-intron junction): ABTB1, ACAP1, ACSL1, ARHGAP9, ATG16L2, ATP6V1B2, BIN2, BTK, BTNL8, C19orf35, CA4, CD37, CDK5RAP2, CEACAM4, CFP, CLEC12A, CLEC4D, CLEC4E, CSF3R, CXCR2, CYTH4, DEF8, DENND1C, DENND3, DHRS13, DOK3, FAM49B, FBXL5, FCGR2A, FCN1, FES, FFAR2, FKBP8, FMNL1, FOLR3, FUT7, GNG2, GP9, GPSM3, HBD, HK3, HMBS, IFI30, IL16, IL1R2, ITGA2B, JAK3, KCNE1, LCP2, LILRB2, LILRB3, LYL1, MAN2A2, MKNK1, MLKL, MPO, MX2, MYO1F, NCF1, NFE2, NLRP12, PADI2, PADI4, PARVG, PGLYRP1, PHOSPHO1, PREX1, PRTN3, PSTPIP1, RAC2, RASAL3, RASGRP4, RELT, RNF166, RNF167, SHKBP1, SLC11A1, SLC12A9, SLC16A3, SLCO3A1, SORL1, SPI1, TBC1D10C, TBXAS1, USB1, VAV1, VSTM1, XPO6 and ZDHHC18.

In some embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden associated with any cancer or cancer in general (pan cancer), the NDR comprises one or more, or at least about one, at least about two, at least about three, at least about four, at least about five, at least about six, at least about seven, at least about eight, at least about nine, or at least about ten of the following genes/associated NDRs (e.g. a transcription start site, a promoter, an intron-exon junction and/or an exon-intron junction): ABTB1, ACAP1, ACSL1, ATG16L2, ATP6V1B2, BTK, BTNL8, C19orf35, CEACAM4, CLEC4E, CSF3R, DENND1C, DENND3, DHRS13, FBXL5, FCAR, FCN1, FFAR2, FKBP8, FMNL1, GNG2, GP9, GPSM3, HBD, HMBS, IFI30, IL18RAP, ITGA2B, LCP2, LILRB3, LYL1, MAN2A2, MKNK1, MPO, MX2, MXD3, MYO1F, NFE2, NLRP12, PADI4, PHOSPHO1, PREX1, RASGRP2, RASGRP4, RGL4, RNF166, RNF167, SHKBP1, SLC11A1, SLC12A9, TBC1 D10C, TBXAS1, USB1 and VSTM1.

In some embodiments, where the method comprises a method of estimating a ctDNA burden or tumor burden with any cancer or cancer in general (pan cancer), the NDR comprises the following: promoter of SLC11A1, promoter of NLRP12, promoter of PRTN3, promoter of HMBS, promoter of LILRB3, first exon-intron junction of ACSL1, first exon-intron junction of GP9, promoter of MX2, promoter of RASGRP4 and/or promoter of ATG16L2.

In some embodiments, the method further comprises assigning the most weight to the level of cfDNA that maps to the promoter of HMBS and/or the first exon-intron junction of GP9 and relatively less weight to the level of cfDNA that maps to the other NDR(s) when estimating the ctDNA burden. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of HMBS and/or the first exon-intron junction of GP9 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of RASGRP4, the promoter of NLRP12, the promoter of ATG16L2, the promoter of SLC11A1, the promoter of LILRB3, the promoter of PRTN3, the promoter of MX2 and the first exon-intron junction of ACSL1. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of RASGRP4 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of NLRP12, the promoter of ATG16L2, the promoter of SLC11A1, the promoter of LILRB3, the promoter of PRTN3, the promoter of MX2 and the first exon-intron junction of ACSL1. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of NLRP12 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of ATG16L2, the promoter of SLC11A1, the promoter of LILRB3, the promoter of PRTN3, the promoter of MX2 and the first exon-intron junction of ACSL1. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of ATG16L2 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of SLC11A1, the promoter of LILRB3, the promoter of PRTN3, the promoter of MX2 and the first exon-intron junction of ACSL1. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of SLC11A1 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of LILRB3, the promoter of PRTN3, the promoter of MX2 and the first exon-intron junction of ACSL1. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of LILRB3 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of PRTN3, the promoter of MX2 and the first exon-intron junction of ACSL1. In some embodiments, the method comprises assigning more weight to the level of cfDNA that maps to the promoter of PRTN3 and relatively less weight to the level of cfDNA that maps to one or more of the following NDRs: the promoter of MX2 and the first exon-intron junction of ACSL1. In some embodiments, the method comprises assigning similar weights to the level of cfDNA that maps to the promoter of HMBS and the level of cfDNA that maps to the first exon-intron junction of GP9. In some embodiments, the method comprises assigning similar weights to the level of cfDNA that maps to the promoter of MX2 and the level of cfDNA that maps to the first exon-intron junction of ACSL1.

In various embodiments, the total length/size of the one or more NDR is no more than about 100 kilobase pairs (kb), no more than about 90 kb, no more than about 80 kb, no more than about 70 kb, no more than about 60 kb, no more than about 50 kb, no more than about 30 kb, no more than about 20 kb or more than about 10 kb. In some embodiments, the total length/size of the one or more NDR is no more than about 30 kb. In some embodiments, the total length/size of the one or more NDR is no more than about 25 kb. In some embodiments, the total length/size of the one or more NDR is about 24 kb.

In various embodiments, the method does not comprise sequencing one or more regions that collectively spans more than about 100 kb, more than about 95 kb, more than about 90 kb, more than about 85 kb, more than about 80 kb, more than about 75 kb, more than about 70 kb, more than about 65 kb, more than about 60 kb, more than about 55 kb, more than about 50 kb, more than about 45 kb, more than about 40 kb, more than about 35 kb, more than about 30 kb, more than about 25 kb, more than about 20 kb, more than about 15 kb, more than about 10 kb or more than about 5 kb in length. In various embodiments, the method does not comprise sequencing a continuous/contiguous region that spans more than about 4 kb, more than about 5 kb, more than about 6 kb, more than about 7 kb, more than about 8 kb, more than about 9 kb or more than about 10 kb in length. In various embodiments, the method does not comprise whole genome sequencing of the cfDNA. Advantageously, embodiments of the method are efficient in terms of time and resources, and provide a fast turnaround time.

As may be appreciated, by following the teachings herein/carrying out the steps of this disclosure, a person skilled in the art will also be able to identify further genomic regions (including non-coding regions), other than the ones highlighted in this disclosure, that are also predictive of the disease burden, the cancer burden, the tumor burden, the ctDNA burden, the level of ctDNA, an amount of ctDNA, the proportion of ctDNA, the fraction of ctDNA and the ctDNA content. Hence, the genes/regions highlighted in this disclosure are non-exhaustive. Indeed, a person skilled in the art would understand that the genomic regions that may be used to predict the disease burden, the cancer burden, the tumor burden, the ctDNA burden, the level of ctDNA, an amount of ctDNA, the proportion of ctDNA, the fraction of ctDNA and/or the ctDNA content are not limited to the particular gene-encoding regions described herein, and may also include non-coding regions (including regions that are far away from genes e.g. regulatory regions such as enhancers).

In various embodiments, the method further comprises removing particulate blood components from the sample (e.g. a blood sample) to leave behind blood plasma for use in the determining step. In various embodiments, plasma is separated from blood shortly after (e.g. within about 2 hours of) venipuncture. In various embodiments, plasma is separated from blood by centrifugation e.g. at 10 min×300 g and 10 min×9370 g). In various embodiments, the plasma is stored at low temperature e.g. at −80° C. after separation. In various embodiments, the particulate blood components are selected from the group consisting red blood cells, white blood cells, platelets and combinations thereof. In various embodiments, the method further comprising extracting/isolating/purifying the cfDNA from the sample/blood plasma.

In various embodiments, the method requires no more than about 20 milliliters, no more than about 19.5 milliliters, no more than about 19 milliliters, no more than about 18.5 milliliters, no more than about 18 milliliters, no more than about 17.5 milliliters, no more than about 17 milliliters, no more than about 16.5 milliliters, no more than about 16 milliliters, no more than about 15.5 milliliters, no more than about 15 milliliters, no more than about 14.5 milliliters, no more than about 14 milliliters, no more than about 13.5 milliliters, no more than about 13 milliliters, no more than about 12.5 milliliters, no more than about 12 milliliters, no more than about 11.5 milliliters, no more than about 11 milliliters, no more than about 10.5 milliliters, no more than about 10 milliliters, no more than about 9.5 milliliters, no more than about 9 milliliters, no more than about 8.5 milliliters, no more than about 8 milliliters, no more than about 7.5 milliliters, no more than about 7 milliliters, no more than about 6.5 milliliters, no more than about 6 milliliters, no more than about 5.5 milliliters, no more than about 5 milliliters, no more than about 4.5 milliliters, no more than about 4 milliliters, no more than about 3.5 milliliters, no more than about 3 milliliters, no more than about 2.5 milliliters, no more than about 2 milliliters, no more than about 1.5 milliliters, no more than about 1 milliliters, no more than about 0.9 milliliters, no more than about 0.8 milliliters, no more than about 0.7 milliliters, no more than about 0.6 milliliters, no more than about 500 microliters, no more than about 450 microliters, no more than about 400 microliters, no more than about 350 microliters or no more than about 300 microliters of sample.

In various embodiments, the method further comprises obtaining the sample from the subject prior to the determining step. In various embodiments, the step of obtaining the sample from the subject is a non-surgical step, a non-invasive step or a minimally invasive step. In various embodiments, the step of obtaining the sample from the subject comprises withdrawing a blood sample from the subject.

In various embodiments, the method is capable of precisely estimating one or more of: a disease burden, a cancer burden, a tumor burden, a ctDNA burden, a level of ctDNA, an amount of ctDNA, a proportion of ctDNA, a fraction of ctDNA and a ctDNA content such that the estimated disease burden, cancer burden, tumor burden, ctDNA burden, level of ctDNA, amount of ctDNA, proportion of ctDNA, fraction of ctDNA and/or ctDNA content has an absolute deviation/absolute error/mean absolute deviation/mean absolute error of no more than about 5.0%, no more than about 4.9%, no more than about 4.8%, no more than about 4.7%, no more than about 4.6%, no more than about 4.5%, no more than about 4.4%, no more than about 4.3%, no more than about 4.2%, no more than about 4.1%, no more than about 4.0%, no more than about 3.9%, no more than about 3.8%, no more than about 3.7%, no more than about 3.6%, no more than about 3.5%, no more than about 3.4%, no more than about 3.3%, no more than about 3.2%, no more than about 3.1%, no more than about 3%, no more than about 2.9%, no more than about 2.8%, no more than about 2.7%, no more than about 2.6%, no more than about 2.5%, no more than about 2.4%, no more than about 2.3%, no more than about 2.2%, no more than about 2.1%, no more than about 2%, no more than about 1.9%, no more than about 1.8%, no more than about 1.7%, no more than about 1.6%, or no more than about 1.5% from a true/expected/measured disease burden, cancer burden, tumor burden, ctDNA burden, level of ctDNA, amount of ctDNA, proportion of ctDNA, fraction of ctDNA and/or ctDNA content.

In various embodiments, the method has a predictive accuracy of at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, at least about 99.1%, at least about 99.2%, at least about 99.3%, at least about 99.4%, at least about 99.5%, at least about 99.6%, at least about 99.7%, at least about 99.8%, at least about 99.9% or at least about 100%.

In various embodiments, the method comprises a machine learning-based method.

In various embodiments, the method further comprises training a machine learning model with a first training data set defining a level (or an amount, a proportion, a fraction and/or a content) of DNA, optionally cfDNA, that maps to (or aligns with, corresponds to, belongs to, is similar to and/or is identical to) the one or more NDR (e.g. in the form of a read depth coverage) as features and a measured disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content; and selecting a first set of one or more features that is predictive of the disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content.

In various embodiments, a subset of samples may be randomly selected from a training data set to train the machine learning model to identify the most predictive features. In various embodiments, the foregoing may be repeated independently multiple times, e.g. 1000 times, and the time(s) each feature is chosen as a predictive feature is counted. In various embodiments, the feature(s) that is/are selected most frequently is/are extracted to train a final model comprising all samples in the training data set (e.g. the first training data set) to identify one or more features (e.g. the first set of one or more features) that is predictive of the disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content. In various embodiments, cross validation (e.g. five-fold cross validation, eight-fold cross validation, ten-fold cross validation) is carried out during the machine learning process for identifying the most predictive features.

In various embodiments, the selecting step further comprises employing a linear model/regression, optionally a sparse linear model/regression, further optionally a Lasso (least square absolute shrinkage and selection operator) model to identify the first set of one or more features that is predictive of the disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content.

In various embodiments, the method further comprises providing a test data set to the trained machine learning model, the test data set defining at least the first set of one or more selected features; and estimating the disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content based on at least the first set of one or more selected features.

In various embodiments, the method further comprises comparing the estimated disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content with a true/expected/measured disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content of the test data set; and calculating an absolute deviation/absolute error/mean absolute deviation/mean absolute error between the estimated and the true/expected/measured disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content to evaluate a performance/prediction accuracy of the model.

In various embodiments, the method further comprises obtaining/collecting blood samples comprising cfDNA from cancer patients and healthy individuals; measuring a level (or an amount, a proportion, a fraction and/or a content) of DNA that maps to (or aligns with, corresponds to, belongs to, is similar to and/or is identical to) the one or more NDR (e.g. in the form of a read depth coverage) to obtain the features of the first training data set; and measuring a disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content (e.g. by whole genome sequencing, deep whole genome sequencing etc.) to obtain the disease burden/tumor burden/ctDNA burden/ctDNA level/ctDNA amount/ctDNA proportion/ctDNA fraction/ctDNA content of the first training data set. In various embodiments, the method further comprises determining/measuring an expression of the plurality of genes associated with the NDR in the blood samples.

In various embodiments, the method further comprises obtaining/collecting tumor/tumor biopsy samples from cancer patients; extracting/isolating/purifying nucleic acids from the tumor/tumor biopsy samples; measuring from the nucleic acids a level (or an amount, a proportion, a fraction and/or a content) of DNA that maps to (or aligns with, corresponds to, belongs to, is similar to and/or is identical to) the one or more NDR (e.g. in the form of a read depth coverage); and measuring from the nucleic acids an expression of the genes associated with the one or more NDR in the tumor/tumor biopsy samples.

In various embodiments, the method further comprises comparing said level (or an amount, a proportion, a fraction and/or a content) of DNA (e.g. in the form of a read depth coverage) and/or the expression of the genes between the blood samples and the tumor/tumor biopsy samples; identifying genes that show substantially different level (or an amount, a proportion, a fraction and/or a content) of DNA (e.g. substantially different read depth coverages) and/or substantially different expressions between the blood samples and the tumor/tumor biopsy samples; and selecting the level (or an amount, a proportion, a fraction and/or a content) of DNA (e.g. in the form of a read depth coverage) of these identified genes in the blood sample as features to be input in the first training data set.

The method may further comprise removing the first set of one or more features from the first training data set to form a second training data set; and training the machine learning model with the second training data set to select a second set of one or more features that is predictive of the disease burden, the cancer burden, the tumor burden, the ctDNA burden, the level of ctDNA, an amount of ctDNA, the proportion of ctDNA, the fraction of ctDNA and/or the ctDNA content. These steps may be repeated one or more times to obtain a third, fourth, fifth etc. set of one or more features that is predictive of the disease burden, the cancer burden, the tumor burden, the ctDNA burden, the level of ctDNA, an amount of ctDNA, the proportion of ctDNA, the fraction of ctDNA and/or the ctDNA content by removing the second, third, fourth etc. set of one or more features from the second, third, fourth etc. training data set to form a third, fourth, fifth etc. training data set respectively.

In various embodiments, the method further comprises screening for/detecting a tumor-specific mutation in the cfDNA/ctDNA present in the blood sample. Advantageously, embodiments of the method simultaneously allow for profiling of actionable cancer mutations and quantitative estimation of the disease burden, the cancer burden, the tumor burden, the ctDNA burden, the level of ctDNA, an amount of ctDNA, the proportion of ctDNA, the fraction of ctDNA and/or the ctDNA content. The method may be performed in combination with or complimentary to existing sequencing-based methods in cancer detection/monitoring.

In various embodiments, the method is an in vitro or ex vivo method.

In various embodiments, the method is a liquid biopsy method.

In various embodiments, the method is a method of determining disease progression in a subject and the method further comprises: determining in a subsequent blood sample obtained from the subject, a level of cfDNA that maps to one or more NDR; estimating the ctDNA burden or tumor burden based on said level of cfDNA; comparing the ctDNA burden or tumor burden estimated from said subsequent blood sample with the ctDNA burden or tumor burden estimated from said blood sample; and optionally identifying the subject as having disease progression if the ctDNA burden or tumor burden estimated from said subsequent blood sample is higher than the ctDNA burden or tumor burden estimated from said blood sample or identifying otherwise if the ctDNA burden or tumor burden estimated from said subsequent blood sample is not higher than the ctDNA burden or tumor burden estimated from said blood sample. In various embodiments, where the ctDNA burden or tumor burden estimated from said subsequent blood sample is lower than the ctDNA burden or tumor burden estimated from said blood sample, the disease identified to be improving/abating in the subject. In various embodiments, where the ctDNA burden or tumor burden estimated from said subsequent blood sample is substantially the same as the ctDNA burden or tumor burden estimated from said blood sample, the disease is identified to be stable in the subject.

Disease progression in a subject may be indicative of resistance to the current treatment regimen received by the subject. Thus, the method may also be useful for identifying resistance to treatment in a subject. In various embodiments therefore, the method further comprises changing the treatment regimen received by the subject if the subject is identified as having disease progression. Changing the treatment regimen may involve subjecting/exposing the subject to a second therapy that is different from the current or the first therapy. Changing the treatment regimen may involve replacing the current treatment regimen received by the subject with another treatment regimen, or it may involve administering to the subject additional therapies in addition to the current treatment regimen. In some embodiments, where a subject is already receiving combination therapy, changing the treatment regimen may also involve removing one or more therapies from the combination therapy. Examples of treatment regimens/therapies include, but are not limited to, chemotherapy, radiotherapy, gene therapy, hormonal therapy, immunotherapy, surgical therapy, combination therapy, alternative therapy/complementary therapy and combinations thereof. In various embodiments, changing the treatment regimen does not necessarily entail switching from one class of therapy (e.g. one of chemotherapy, radiotherapy, gene therapy, hormonal therapy, immunotherapy, surgical therapy, combination therapy, alternative therapy/complementary therapy and combinations thereof) to another class of therapy, although it may involve such a switch. Changing the treatment regimen may involve changing from one specific therapy to another specific therapy within the same therapy class. For example, changing the treatment regimen may involve changing the particular chemotherapy drug received by the subject.

In various embodiments, there is provided a method of monitoring disease progression in a subject, the method comprising: determining in a first sample comprising cfDNA obtained from the subject at a first time point, a first level (or an amount, a proportion, a fraction and/or a content) of cfDNA that maps to one or more NDR; estimating a first ctDNA burden or tumor burden (or a disease burden, a cancer burden, a level of ctDNA, an amount of ctDNA, a proportion of ctDNA, a fraction of ctDNA and a ctDNA content) in the subject based on the first level of cfDNA, determining in a second sample comprising cfDNA obtained from the subject at a second time point, a second level of DNA that maps to the one or more NDR, estimating a second ctDNA burden or tumor burden based on the second level of cfDNA; and comparing the first and the second estimated ctDNA burden or tumor burden to determine whether the disease has progressed, wherein the second time point is later than the first time point. In various embodiments, where the second estimated ctDNA burden or tumor burden is higher than the first estimated ctDNA burden or tumor burden, the disease is considered to have progressed/worsened. In various embodiments, where the second estimated ctDNA burden or tumor burden is lower than or is substantially the same as the first estimated ctDNA burden or tumor burden, the disease is considered to have abated or stabilized.

In various embodiments, there is provided a method of evaluating treatment efficacy/response in a subject, the method comprising: determining in a first sample comprising cfDNA obtained from the subject before/during a treatment/treatment stage, a first level (or an amount, a proportion, a fraction and/or a content) of cfDNA that maps to one or more NDR; estimating a first ctDNA burden or tumor burden (or a disease burden, a cancer burden, a level of ctDNA, an amount of ctDNA, a proportion of ctDNA, a fraction of ctDNA and a ctDNA content) in the subject based on the first level of cfDNA, determining in a second sample comprising cfDNA obtained from the subject after the treatment/treatment stage, a second level of DNA that maps to the one or more NDR, estimating a second ctDNA burden or tumor burden based on the second level of cfDNA; and comparing the first and the second estimated ctDNA burden or tumor burden to determine whether the treatment is effective/the subject is responding to the treatment. In various embodiments, where the second estimated ctDNA burden or tumor burden is higher than the first estimated ctDNA burden or tumor burden, the treatment is considered to be not effective or the subject is considered to be not responding to the treatment. In various embodiments, where the treatment is considered to be not effective or the subject is considered to be not responding to the treatment, the method further comprises adjusting/altering/stopping/halting/discontinuing the treatment regimen. In various embodiments, where the second estimated ctDNA burden or tumor burden is lower than or substantially the same as the first estimated ctDNA burden or tumor burden, the treatment is considered to be effective or the subject is considered to be responding to the treatment. In various embodiments, where the treatment is considered to be effective or the subject is considered to be responding to the treatment, the method further comprises continuing the treatment regimen.

In various embodiments, there is provided a method of determining a risk of cancer (e.g. a risk of development, predisposition, progression, relapse, recurrence, metastasis, abatement of cancer) in a subject, the method comprising: determining in a blood sample obtained from the subject, a level (or an amount, a proportion, a fraction and/or a content) of cfDNA that maps to one or more NDR, optionally estimating a disease burden (or a cancer burden, a tumor burden, a ctDNA burden, a level of ctDNA, an amount of ctDNA, a proportion of ctDNA, a fraction of ctDNA or a ctDNA content) based on said level of cfDNA, and determining the risk of cancer based on the level of cfDNA that maps to the one or more NDR, or the estimated disease burden. In various embodiments, where the level of cfDNA/the estimated disease burden exceeds a predetermined threshold level, the subject is concluded to have an elevated risk of cancer. In various embodiments, where the level of cfDNA/the estimated disease burden does not exceed the predetermined threshold level, the subject is concluded to have a reduced/low/minimal/no risk of cancer. It will be appreciated that it is within the purview of a person skilled in the art to determine the suitable threshold level. For example, the suitable threshold level may be determined by determining the mean level of cfDNA/the mean estimated disease burden of a healthy population e.g. a population that does not suffer from cancer.

In various embodiments, there is provided a method of treating cancer in a subject, the method comprising: determining in a blood sample obtained from the subject, a level of cfDNA that maps to one or more NDR and estimating a ctDNA burden or tumor burden based on said level of cfDNA. In various embodiments, where the level of cfDNA/the estimated ctDNA burden or tumor burden exceeds a predetermined threshold level, the subject is subjected to treatment selected from the group consisting of chemotherapy, radiotherapy, gene therapy, hormonal therapy, immunotherapy, surgical therapy, combination therapy, alternative therapy/complementary therapy and combinations thereof. It will be appreciated that it is within the purview of a person skilled in the art to determine the suitable threshold level. For example, the suitable threshold level may be determined by determining the mean level of cfDNA/the mean estimated ctDNA burden or tumor burden of a healthy population e.g. a population that does not suffer from cancer.

In various embodiments, there is provided a method of profiling a subject, the method comprising: determining in a blood sample obtained from the subject, a level of cfDNA that maps to one or more NDR and estimating a ctDNA burden or tumor burden based on said level of cfDNA.

In various embodiments, there is provided a kit/panel/probe set/primer set, optionally a kit/panel/probe set/primer set for estimating a tumor burden or ctDNA burden in a subject, the kit/panel/probe set/primer set comprising one or more probe/primer that is capable of hybridizing/binding to one or more NDR, where said NDR (i) comprises the NDR of a gene which transcript is differentially expressed between healthy blood tissue and tumor tissue and/or (ii) is degraded to different extents between healthy blood tissue and blood tissue of a tumor-bearing subject. In various embodiments, the one or more probe/primer is capable of hybridizing/binding to a central genomic region related to the one or more NDR. The size of the central genomic region may be about 1 kb, about 2 kb, about 3 kb, about 4 kb, about 5 kb, about 6 kb, about 7 kb, about 8 kb, about 9 kb or about 10 kb. In one example, a plurality of probes/primers hybridize/bind to an approximately 4 kb region centred at an NDR. The binding sites of a plurality of probes/primers to a central genomic region may be continuous or discontinuous within the central genomic region. In various embodiments, the one or more probe/primer has a sequence that is complementary to a sequence of the one or more NDR or parts thereof. In various embodiments, the one or more probe/primer has a sequence that is complementary to a sequence sharing at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98% or at least about 99% sequence identity with the one or more NDR or parts thereof. In various embodiments, the one or more probe/primer has a sequence that is complementary to a sequence that differs from the one or more NDR or parts thereof by about one, about two, about three, about four or about five nucleotides/bases. In various embodiments, the one or more probe/primer has a sequence that is complementary to a central genomic region or parts thereof related to the one or more NDR. In various embodiments, the one or more probe/primer has a sequence that is complementary to a sequence sharing at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98% or at least about 99% sequence identity with the central genomic region or parts thereof. In various embodiments, the one or more probe/primer has a sequence that is complementary to a sequence that differs from the central genomic region or parts thereof or parts thereof by about one, about two, about three, about four or about five nucleotides/bases. In one example, the one or more probe/primer has a sequence that is complementary to an approximately 4 kb region centred at an NDR. A skilled person would be able to determine the suitable conditions that would allow the probe/primer to hybridize to the one or more NDR.

In various embodiments, the one or more NDR comprises one or more NDR of a gene listed in one or more of Table 1, Table 2, Table S3, Table S10, Table S14, Table S15, Table S16, Table S17, Table S18, Table S19, Table S20 and Table S21. In various embodiments, the one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SLC11A1, NLRP12, PRTN3, HMBS, LILRB3, ACSL1, GP9, MX2, RASGRP4, ATG16L2 and combinations thereof. In various embodiments, the one or more NDR comprises one or more NDR of a gene selected from the group consisting of: SHKBP1, ACSL1, BCAR1, RAB25, PRTN3, LSR and combinations thereof.

In various embodiments, the kit/panel or the probe set/primer set further comprises a probe/primer for detecting a tumor-specific mutation.

In various embodiments, the one or more probe/primer comprises from about 50 to about 200 nucleotides/bases, from about 90 to about 150 nucleotides/bases or from about 110 to about 130 nucleotides/bases. In various embodiments, the one or more probe/primer comprises no more than about 200, no more than about 190, no more than about 180, no more than about 170, no more than about 160, no more than about 150, no more than about 140, no more than about 130 or no more than about 120 nucleotides/bases. In various embodiments, the one or more probe/primer comprises at least about 50, at least about 60, at least about 70, at least about 80, at least about 90, at least about 100, at least about 110 or at least about 120 nucleotides/bases. In various embodiments, the one or more probe/primer comprises about 120 nucleotides/bases.

In various embodiments, the one or more probe/primer comprises the sequence of one or more of SEQ ID NO: 1 to SEQ ID NO: 577 (i.e. SEQ ID NO; 1, SEQ ID NO:2, SEQ ID NO: 3, and so forth till SEQ ID NO: 577, see Supplementary Data 3) or a sequence sharing at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99% sequence identity thereto. In various embodiments, the sequence sharing at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 95%, at least about 99% sequence identity with any one of SEQ ID NO: 1 to SEQ ID NO: 577 is capable of hybridizing/binding to the one or more NDR.

In various embodiments, the kit/panel or the probe set/primer set comprises a plurality of probes/primers.

In various embodiments, the kit/panel/primer set/probe set is for estimating a tumor burden or ctDNA burden associated with cancer, optionally colorectal cancer. In various embodiments, the one or more probe/primer is capable of hybridizing/binding to a genomic region of one or more of the following genes: ARID1A, CCNE1, CDH1, CDK6, CTNNB1, EGFR, ERBB2, KRAS, MUC6, MYC, RHOA, RNF43, SMAD4, TP53 or parts thereof. In various embodiments, the one or more probe/primer has a sequence that is complementary to a genomic region of one or more of ARID1A, CCNE1, CDH1, CDK6, CTNNB1, EGFR, ERBB2, KRAS, MUC6, MYC, RHOA, RNF43, SMAD4, TP53 or parts thereof. In various embodiments, the one or more probe/primer has a sequence that is complementary to a sequence sharing at least about 75%, at least about 80%, at least about 85%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98% or at least about 99% sequence identity with the genomic region of one or more of ARID1A, CCNE1, CDH1, CDK6, CTNNB1, EGFR, ERBB2, KRAS, MUC6, MYC, RHOA, RNF43, SMAD4, TP53 or parts thereof. In various embodiments, the one or more probe/primer has a sequence that is complementary to a sequence that differs from the genomic region of one or more of ARID1A, CCNE1, CDH1, CDK6, CTNNB1, EGFR, ERBB2, KRAS, MUC6, MYC, RHOA, RNF43, SMAD4, TP53 or parts thereof by about one, about two, about three, about four or about five nucleotides.

In various embodiments, the one or more probes/primers cover at least about 80%, at least about 85%, at least about 90%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99% or about 100% of the target NDR(s)/genomic region(s). In some embodiments, the one or more probes/primers do not overlap each other i.e. the probes/primer are aligned side-by-side when hybridized/bound to the target NDR(s)/genomic region(s). In some embodiments, there is some degree of overlap among adjacent probes/primers (e.g. an overlap of 10 bp, 30 bp, 50 bp, 70 bp, 90 bp etc.).

The number of probes/primers may vary depending on the number of target NDRs/genomic regions, the length/size of the target NDRs/genomic regions and/or the length/size of the probes/primers etc. Higher probe numbers/density may lead to better sampling, although it can also increase the cost of the method. In various embodiments, the number of probes/primers is in the range of from about 25 to about 50, from about 60 to about 80, from about 90 to about 110, from about 125 to about 150, from about 160 to about 180, from about 190 to about 210, from about 225 to about 250, from about 260 to about 280, from about 290 to about 310, from about 325 to about 350, from about 365 to about 390, from about 405 to about 430, from about 445 to about 470, from about 485 to about 510, from about 525 to about 550, or from about 565 to about 590. In various embodiments, the number of probes/primers is at least about 10, at least about 20, at least about 30, at least about 40, at least about 50, at least about 75, at least about 100, at least about 125, at least about 150, at least about 175, at least about 200, at least about 225, at least about 250, at least about 275 or at least about 300. In various embodiments, the number of probes/primers is no more than about 400, no more than about 375, no more than about 350, no more than about 325, no more than about 300, no more than about 275, no more than about 250, no more than about 225 or no more than about 200.

In various embodiments, there is provided a method or a product as described herein.

BRIEF DESCRIPTION OF FIGURES

FIG. 1 Overview of approach. Deep cfDNA WGS profiles of plasma samples from healthy individuals and cancer patients were compared to identify nucleosome depleted regions (NDRs) with tumor/blood tissue-specific expression and differential cfDNA coverage. A model was trained to predict ctDNA levels from NDR cfDNA coverage. A compact assay targeting predictive NDRs was used to perform longitudinal profiling of ctDNA levels and dynamics.

FIG. 2 Characteristics of cfDNA degradation patterns at promoters and exon-intron junctions. (a) Systematic analysis of gene regulatory regions for association of gene expression and cfDNA relative coverage. Relative coverage refers to cfDNA coverage across the given region when normalized to +/−1 kb flanking regions. The nucleosome depleted regions of promoter (NDR, −150 to 50 bp relative to TSS) and first exon-intron junction (NDR, −300 to −100 bp relative to first exon end) are highlighted. (b) Relative cfDNA coverage of promoter and junction NDRs for expressed (fpkm≥30 in whole blood) and unexpressed genes. (c) Distribution of promoter and junction NDR relative coverage for expressed and unexpressed genes.

FIG. 3 Quantitative estimation of colorectal cancer ctDNA burden. (a) cfDNA relative coverage for the promoter region of PPP1R16A (ENST00000528430) overexpressed in CRC tumors relative to whole blood, and cfDNA relative coverage for the junction region of GMFG (ENST00000602185) overexpressed in whole blood relative to CRC tumors. The grey curve shows the mean coverage across CRC samples. (b) Relative coverage score (see Methods) of NDRs in transcripts differentially expressed between CRC tumors and whole blood. (c) Schematic showing how the predictive model of ctDNA fractions was developed: Differentially expressed genes in CRC and blood were identified, NDR relative coverage features were obtained from in silico generated cfDNA samples, predictive features were selected, and a quantitative model was fitted. (d, e) Comparison of expected (in silico simulation) and observed ctDNA fractions across the CRC cfDNA samples in the d) training and e) test set, respectively. The mean absolute error (MAE) is listed for each sample. (f) Comparison between observed and expected ctDNA fractions in the test set.

FIG. 4 Targeted NDR assay to quantify ctDNA burden and monitor cancer progression. (a) Schematic showing how targeted NDR sequencing, low-pass WGS, and targeted gene sequencing was performed on a cohort of 53 CRC plasma samples. (b) Comparison of ctDNA fractions inferred by targeted NDR-sequencing and low-pass WGS (ichorCNA). (c) Comparison of ctDNA fractions inferred by targeted NDR-sequencing and maximum VAFs (maximum VAF of all SNVs identified in a given plasma sample). (d) NDR-quantified ctDNA burden across serial plasma samples and its association with events of cancer progression treatment response. Somatic SNV VAFs are highlighted for each timepoint; SNVs detected in at least two timepoints are shown. SNVs undetected with standard filtering criteria at given timepoints are indicated with a dashed line. Treatment types and intervals are highlighted. Events of disease progression as inferred by computerized tomography (CT) scans are shown.

FIG. 5 Estimation of ctDNA burden across two distinct cancer types. (a) cfDNA relative coverage across the promoter region of the blood-specific gene, RASGRP4 (ENST00000615340). Dark grey and light grey curves show the mean of the coverages from plasma samples from CRC and BRCA patients respectively, respectively. (b) Schematic showing how the ctDNA content prediction model across CRC and BRCA samples was developed. (c, d) Comparison of expected (in silico simulation) and observed ctDNA fractions across CRC and BRCA cfDNA samples in the c) training and d) test set, respectively. The mean absolute error is listed for each sample.

FIG. 6A systematic analysis of gene regions for association of gene expression and cfDNA relative coverage. Relative cfDNA coverage (normalized to +/−1-2 kb regions) for sets of genes grouped by expression level in whole blood cells across a) first, b) second, c) third exon-intron junctions, d) first, e) second, f) third intron-exon junctions, as well as g) promoter, and h) transcript end region.

FIG. 7 Correlation between relative coverage of NDRs and epigenetic features. For each candidate covariate/predictor, a linear regression is fitted with relative coverage as the response. The Pearson correlation coefficient (y axis, signed square root of R-squared from regression) is shown for each candidate variable. Whole blood gene expression (fpkm) is binned into 6 bins [unexpressed, 0.01<fpkm≤0.1, 0.1<fpkm≤1, 1<fpkm≤5, 5<fpkm≤30, fpkm≤>30] and fitted as a categorical covariate with the unexpressed group as the reference group. Peak files of epigenetic features [DNase, H3K4me3, H3K36me3, H3K27ac, H3K4me1, H3K9me3 and H3K27me3] from primary T-cells (E034) were obtained from the Roadmap Epigenomics Project. Epigenetic features are fitted as binary covariates with no signal as the reference group. Barplots of the correlation (r, square root of R2 multiplied by the coefficient sign) between each feature and relative coverage for (a) Promoter NDRs and (b) Junction NDRs are shown.

FIG. 8 Transcripts differentially expressed between CRC tumors and whole-blood. CRC (fpkm_CRC>20, fpkm_blood<0.1, dark grey) and whole-blood (fpkm_CRC<0.1, fpkm_blood>10, light grey) specific transcripts are identified from expression data from TCGA and GTEx.

FIG. 9 The evolution of predictive error with model complexity. Mean absolute error between expected and predicted ctDNA fractions of CRC samples is estimated as a function of model complexity (number of predictive features). The error bar size is the standard deviation of MAE values from 231 CRC training samples (light grey).

FIG. 10 Model performance on 10 test sets generated using different (withheld) healthy samples from the training sets. Individual normal samples (n=29) in the healthy cohort were evenly split into 2 sets, used to dilute the plasma samples from CRC patients in training (CRC-1 to 8 in Table S1) and test (CRC-9 to 12) sets separately. (a) The correlation (Pearson and Spearman) between the expected and observed ctDNA fractions across the 10 test sets. (b) The mean absolute error (MAE) between the expected and observed ctDNA fractions for the 10 test sets.

FIG. 11 Comparison of expected and ichorCNA-predicted ctDNA fractions across the CRC cfDNA samples. (a) ctDNA fractions across the CRC cfDNA samples. (b) Comparison of expected and ichorCNA-predicted ctDNA fractions.

FIG. 12 Performance of ichorCNA when applied to the samples with low ctDNA burden. 31 out of 120 low-ctDNA samples of CRC were predicted as non-cancerous by ichorCNA, highlighted in black. Grey dashed line indicates ctDNA fraction of 0.

FIG. 13 Predictive error as a function of model complexity for two distinct cancer types. The error bar size is the standard deviation of MAE values from 446 training samples (light grey).

FIG. 14 Comparison of expected and observed ctDNA fractions in test set across two distinct cancer types.

FIG. 15A BRCA model using BRCA tumor-specific NDRs. (a) The list of top BRCA tumor-specific NDRs that were used for ctDNA content prediction. (b, c) Comparison of expected and observed ctDNA fractions across the BRCA cfDNA samples in the test set.

FIG. 16 Comparison of the ctDNA fractions determined by the CRC model and the “CRC+BRCA” model for the CRC samples in the test set.

FIG. 17 Comparison of the observed ctDNA fractions in the 53 original cfDNA samples with capture-based NDR sequencing (mean coverage ˜300×) and their downsampled counterparts (100×, 50×, 25×, and 10×, respectively).

FIG. 18 Genomic regions over promoters (top) and first exon-intron junction (bottom) used to calculate relative coverage. The mean coverage of the up and downstream 2kbp flanks (grey) is used as a “normalization factor” for the region of interest (black).

FIG. 19 Overview of machine learning feature selection, model fitting, and train/test set performance for colorectal cancer.

FIG. 20 Extensive identification of all predictive CRC features/regions.

FIG. 21 Pan-cancer model training: Overview of Machine Learning feature selection, model fitting, and train/test set performance for pan-cancer features.

FIG. 22 Pan-cancer feature combinations: Extensive identification of all predictive pan-cancer features/regions

FIG. 23 Additional CRC and pan-cancer feature combinations: Extensive identification of all predictive feature combinations using in silico samples generated with random subsets of healthy samples

FIG. 24 The flow chart of establishing a machine learning model based on expression-specific DNA degradation patterns to predict ctDNA fractions for potentially clinical use

FIG. 25 The evolution of the error between observed and calculated ctDNA fractions with the number of top features for CRC prediction model

FIG. 26 The evolution of the error between observed and calculated ctDNA fractions with the number of top features for pan-cancer prediction model

EXAMPLES

Example embodiments of the disclosure will be better understood and readily apparent to one of ordinary skill in the art from the following discussions and if applicable, in conjunction with the figures. It will be appreciated that the example embodiments are illustrative, and that various modifications may be made without deviating from the scope of the invention. Example embodiments are not necessarily mutually exclusive as some may be combined with one or more embodiments to form new exemplary embodiments.

It is shown that the size distribution of cfDNA fragments has a mode of −166 bp, suggesting that nucleosome-bound DNA fragments are protected/preserved during cell death and shed into the circulation. Nucleosome depleted regions (NDRs) are therefore more frequently degraded, yielding a nucleosome-dependent degradation footprint in cfDNA profiles, which can be used to infer tissue of origin. The read depth coverage from sequencing plasma cfDNA is shown to be able to identify nucleosome depletion at a gene's promoter and thus infer gene expression. The coverage of the nucleosome-depleted region at a gene's promoter is negatively correlated with the gene's expression level: a highly expressed gene will tend to have less nucleosome binding across its promoter and therefore lower level of protection and higher levels of DNA degradation. Moreover, plasma cfDNA degradation patterns in cancer patients can be used to infer tumor gene expression.

Here, it is hypothesized that a limited set of tumor or blood-specific NDRs could be used to infer the ctDNA burden (fraction) in the blood circulation of cancer patients. ctDNA burden refers to the relative amount of ctDNA out of all cfDNA molecules in a plasma sample. Using deep cfDNA WGS data from cancer patients and healthy individuals, a quantitative model that infers the ctDNA burden using cfDNA sequencing data from a limited set of NDRs is trained and test. This model is shown to be accurate for plasma samples from both colorectal cancer (CRC) and breast cancer (BRCA) patients (mean absolute error 4.3%), and deployment is explored using a compact targeted sequencing assay for low-cost and quantitative tracking of patient ctDNA dynamics.

The examples demonstrate two components. The first component is a method for estimating ctDNA burden specifically in liquid biopsies from colorectal cancer (CRC) patients. The second component is a method for estimating ctDNA burden in liquid biopsies from any solid tumor (pan-cancer). Both colorectal cancer and pan-cancer models have high prediction accuracy, but the pan-cancer model has the added advantage that it can be applied to any solid tumors.

In one example, the colorectal cancer ctDNA burden estimation model is built as follow. Machine learning was used to develop a predictive model that uses cfDNA coverage patterns at the promoter and junction regions of selected genes to infer ctDNA burden in the blood samples of colorectal cancer patients. The model was trained using data from an in silico “dilution” of 8 samples from 5 cancer patients and healthy individuals, resulting in a training set of 231 “virtual” samples of various ctDNA content (see Table S2). The candidate tumor/blood transcripts that showed both differential expression signal and differential DNA degradation signal at NDRs between CRC tumor and blood were shortlisted. The tumor and blood transcripts were pooled together and their promoter and junction NDR coverage scores were defined as (totally 908) input “features” (see Table S3). The coverage value of each position was normalized by the mean coverage of the upstream (−2000 to −1000 bp) and downstream (+1000 to +2000 bp) regions with respect to transcription start site (for promoter) and exon boundary (for junction) respectively. A Lasso (least absolute shrinkage and selection operator) model was employed to identify features predictive of ctDNA proportions. Half of the training data was extracted randomly to run Lasso (using 1000 repetitions), consequently discovering 6 stable features (probability ≥0.99) from this stability-based exploration (FIG. 19). To develop an accurate ctDNA burden estimation model with a minimal sequencing cost, using the 4 to 10 robust features is an optimal solution, because increasing the number of features to over 10 fails in improving the prediction accuracy of test set and thus over-interprets the training set data (see FIG. 25) in one example. Here, the top 6 features were employed as an example to train and test the machine learning model.

The model may also be applicable to other cancer types, subtypes, or specific therapeutic settings, considering tissue-of-origin of cfDNA molecules can be principally informed from tissue-specific DNA degradation pattern. Compared with plasma from healthy people, tumor-derived DNA component in cancer plasma samples weakens the blood-specific DNA degradation pattern, which suggests the decay of blood-specific signal might be informative of robustly estimating the ctDNA content regardless of cancer types. Therefore, the ctDNA content estimation method is also extended to the pan-cancer level.

In one example, a pan-cancer ctDNA burden estimation model is built as follows. This pan-cancer model relates to a quantitative method that only uses blood-based features/regions (and no use of tumor type specific regions). First, blood transcripts that are highly expressed in blood and lowly expressed in tumors of all 20 cancer types (BLCA, BRCA, CESC, CRC, ESCA, GBM, HNSC, KIRC, KIRP, LGG, LIHC, LUAD, LUSC, OV, PAAD, PRAD, SKCM, STAD, THCA, and UCEC) where shortlisted. These yielded 792 promoter and junction NDR candidate coverage features (Table S10). 215 in-silico samples diluted from the plasma samples of 7 breast cancer (BRCA) patients were added into the existing training set of colorectal cancer samples, as well as 93 in-silico samples diluted from the plasma samples of 3 BRCA patients into the existing test set (see Table S2). The same protocol of feature selection and model training that were used for colorectal cancer ctDNA burden estimation above was performed. It was found that using around 10 blood features is able to predict the ctDNA content in plasma samples (see FIG. 26). An example of employing 10 stable features (probability≥0.99) (Table 2) that are predictive of ctDNA burden in the training set is shown, with a mean absolute error of ˜2.2% between the calculated and observed ctDNA proportions (FIG. 21). The trained model with those 10 features is able to accurately predict the ctDNA content in the test set (MAE of α4.3%). The prediction on breast cancer cases show a promising prediction power of the pan-cancer model.

Based on the guidance provided by this disclosure, users can follow the methodology details to reproduce the work or apply the method to their own data with a full flexibility of tuning the number of features for their model, as long as the selection can achieve high prediction accuracy and prevent data over-interpretation. As described in the examples herein, users can check the error evolution with the number of top features to determine a reasonable range of numbers of features.

Embodiments of a machine learning model based on expression-specific DNA degradation patterns to predict ctDNA fractions for potentially clinical use are described herein (FIG. 24). Embodiments of the method enable detection of tumor DNA burden (even of very low frequency) in the blood by only sequencing these selected nucleosome-depleted regions in cfDNA assays. These regions comprise <50 kb (4 kb×6 features or 4 kb×10 features) DNA sequence in total, and may therefore allow for an extremely cost-effective approach to ctDNA content estimation (order of magnitude less DNA sequencing needed compared to standard targeted sequencing assays, usually >1000 kb). Furthermore, embodiments of the assay can be implemented as an extension/add-on to a standard targeted panel assay, allowing for an extremely cost-effective approach to generic ctDNA profiling. The colorectal and pan-cancer models have some key differences. Both colorectal cancer and pan-cancer models have high prediction accuracy, but the pan-cancer model can generalize to most/all solid tumor types (pending validation data in other cancer types).

Results
Overview of Approach

Blood samples (n=29) were collected from healthy individuals and plasma cfDNA was extracted for paired-end WGS (merged ˜150× coverage) (FIG. 1). Targeted sequencing (see Methods) of plasma samples (CRC n=65, BRCA n=36) from cancer patients was performed and samples (CRC n=12, BRCA n=10) with high SNV VAFs (indicating high ctDNA burden) were selected for deep ˜90× cfDNA WGS (Table S1). In these high ctDNA burden WGS samples, ctDNA burden estimates could be obtained using existing methods (see Methods, Oesper L, Satas G, Raphael BJ. Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data. Bioinformatics 30, 3532-3540 (2014), Ha G, et al. TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data. Genome research 24, 1881-1893 (2014), Bao L, Pu M, Messer K. AbsCN-seq: a statistical method to estimate tumor purity, ploidy and absolute copy numbers from next-generation sequencing data. Bioinformatics 30, 1056-1063 (2014) and Larson N B, Fridley B L. PurBayes: estimating tumor cellularity and subclonality in next-generation sequencing data. Bioinformatics 29, 1888-1889 (2013)) that infer tumor purity using matched tumor and germline high-depth WGS data. To identify candidate NDR features for the quantitative model, tumor and blood-specific genes with differential NDR cfDNA degradation in their promoters and first exon-intron junctions in plasma samples were identified from healthy individuals and cancer patients. Using a machine learning and in silico cfDNA generation approach, a sparse linear model was trained and tested to predict ctDNA burden from NDR cfDNA coverage. To further explore how the approach could be useful for cost-effective monitoring ctDNA dynamics, a compact (<25 kb) capture-based sequencing assay targeting predictive NDRs was designed to explore the robustness of NDR-based targeted approach using independent plasma samples (n=53) from CRC patients, and applied to estimate ctDNA levels in longitudinally collected plasma samples from a cohort of five colorectal cancer patients.

Association of Gene Expression and cfDNA Fragmentation Patterns

Analysis of cfDNA from the healthy individuals revealed nucleosome depletion and reduced cfDNA protection flanked by a series of strongly positioned nucleosomes at gene promoter regions (FIG. 2a). Relative coverage at the promoter NDR was inversely correlated with gene expression in whole blood cells. Studies of nucleosome positioning in cells have found that, apart from promoters, exon-intron junctions are associated with NDRs. The inventors therefore systematically scanned these gene regions for association between gene expression and cfDNA relative coverage (FIG. 2a). Strikingly, it was found that the first exon-intron junction of transcripts showed a similar association between coverage and expression, where relative cfDNA coverage at the NDR ranging from −300 to −100 bp with respect to the end of the first exon exhibited a strong inverse correlation with transcript expression in whole blood cells. However, surprisingly, correlation between expression and cfDNA coverage was not observed at other exon-intron and intron-exon junctions as well as at gene ends (FIG. 2a and FIG. 6). As expected, when comparing highly-expressed (fpkm≥30) and unexpressed gene groups, a strong positive correlation (Pearson r=0.81; Spearman correlation, p=0.85) was observed between the cfDNA relative coverage at promoter and first exon-intron junction NDRs across genes (FIG. 2b). While relative coverage at these NDRs correlated strongly with gene expression level, relative coverage could not perfectly separate unexpressed from expressed genes (FIG. 2b, c), suggesting that additional factors beyond gene expression contribute to NDR cfDNA degradation. To further explore the factors affecting cfDNA degradation at NDRs, the association between NDR relative coverage and a range of epigenetic features was explored (FIG. 7). In addition to gene expression levels (linear regression, promoter r=−0.23, junction r=−0.22), relative coverage was negatively correlated with DNase hypersensitivity (promoter r=−0.60, junction r=−0.55), H3K4me3 (promoter r=−0.59, junction r=−0.54), and H3K27ac (promoter r=−0.45, junction r=−0.41), which are markers of open chromatin, active promoters, and active enhancers respectively. In contrast, H3K36me3 (promoter r=0.49, junction r=0.46) and H3K9me3 (promoter r=0.11, junction r=0.10), markers of gene bodies and heterochromatin, were positively correlated with NDR relative coverage.

Cf DNA Coverage Patterns at NDRs in Colorectal Cancer Patients

To further explore the hypothesis that NDR cfDNA coverage in plasma samples from cancer patients is associated with the epigenetic state of tumor cells, a targeted sequencing panel was first used to screen plasma samples from CRC patients for cases of high ctDNA burden (VAF >15% for known cancer driver mutations, FIG. 1). 8 plasma samples from 5 patients were initially identified and high-depth WGS was performed on these samples (˜72×-101×, Sample ID: CRC-1 to 8 in Table S1). ctDNA fractions in these samples were inferred using four existing tissue-based estimation methods (see Methods) and the median tumor purity estimate from these methods was used as ctDNA fractions (in the range 35-86%, Table S1). Gene expression data from TCGA and GTEx was then used to identify genes specifically expressed in CRC tumors and whole blood (see methods, FIG. 8). As an example, PPP1R16A was identified as a CRC-specific gene with robust depletion of NDR cfDNA coverage in plasma samples from cancer patients as compared to healthy individuals, and GMFG was identified as a blood-specific gene with greater coverage depletion in healthy blood plasma (FIG. 3a). As expected, CRC-specific genes generally showed depletion of cfDNA at both promoter and junction NDRs in the plasma of CRC patients compared to healthy controls (FIG. 3b). In contrast, blood-specific genes showed higher cfDNA coverage at NDRs in the plasma of CRC patients compared to healthy controls. Furthermore, directly comparing CRC and blood-specific genes, CRC-specific genes had significantly greater cfDNA depletion at NDRs in plasma samples from CRC patients (P<2.2×10⁻¹⁶, Wilcoxon rank-sum test, FIG. 3b).

Quantitative Estimation of Colorectal Cancer ctDNA Burden

With the insight that cfDNA coverage at NDRs is associated with the transcriptional state of DNA in the tumor cells, it was hypothesized that cfDNA coverage at a small set of NDRs could be used to infer the ctDNA burden (fraction of tumor DNA out of all cfDNA) in the blood plasma of a cancer patient. As training data, 8 deep WGS samples from 5 CRC patients were in silico “diluted” with data from healthy individuals, resulting in a training set of 231 samples of ctDNA proportions ranging from 0.5% up to the original undiluted fractions (FIG. 3c, Table S2). Candidate CRC-specific transcripts that were upregulated in CRC tumors (fpkm_CRC>10, fpkm_blood<1) and had a differential DNA degradation signal at both promoter and junction NDRs (relative coverage score <−0.2) were shortlisted. Candidate blood-specific transcripts were shortlisted with similar criteria (fpkm_CRC<1, fpkm_blood>10, relative coverage score >0.2). Relative coverages at the NDRs of these candidate transcripts were used as input features (total 529 unique tumor and 379 blood features, Table S3). Lasso L₁-regularization regression was then used in combination with a stability-based feature selection approach to a select a minimal set of 6 predictive NDRs (Table 1), which could predict the ctDNA fraction in the training data with a mean absolute error (MAE) of ˜1.8% (FIG. 3d). The signs of coefficients for the 6 NDRs in the trained model corresponded to the sign of differential expression of the associated transcripts in tumor tissue relative to whole blood (Table S4). To evaluate the ability of the model to generalize to unseen data, 4 additional samples (CRC-9 to 12 in Table S1, WGS at ˜80-95×) from 2 new CRC patients were sequenced and an in silico diluted test set of 113 samples was created (Table S2). The model accurately predicted the ctDNA proportion in this independent test set (FIG. 3e, MAE-3.4%). A direct comparison shows high similarity between the observed (predicted) and expected ctDNA fractions (FIG. 3f; Pearson r=0.96; Spearman correlation, p=0.97). To further explore the performance of more complex models, the inventors estimated the predictive error as a function of model complexity (number of top predictive features) and found that models with 4-10 NDR features were generally more accurate and better at generalizing to unseen data compared with models using fewer or more features (FIG. 9). Next, the lower limit for ctDNA detection in the NDR model was explored. Using a previous approach (Adalsteinsson V A, et al. Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors. Nature Communications 8, 1324 (2017)), the inventors evaluated the sensitivity and specificity of the model as a function of ctDNA fraction threshold. The 113 in silico test set CRC samples (FIG. 3e, CRC-9 to 12) were used as positives, and 40 random subsets (Table S5, ˜80× each) from the data of plasma samples (n=29) from healthy individuals were used as negatives. At a 2% ctDNA fraction threshold, the model correctly predicted all positive and negative samples (100% sensitivity and specificity, Table S5). In comparison, at a 1% threshold, the sensitivity was maintained at 100% but the specificity dropped to 75%. FIG. 19 provides an overview of the machine learning feature selection, model fitting, and train/test set performance for colorectal cancer.

To further evaluate the robustness of the model when tested on in silico samples generated using healthy samples not seen during model training, the healthy samples (n=29) were split into two different groups to separately generate in silico training and test data. Reassuringly, this analysis showed robust model performance in the presence of independent train/test healthy samples (FIG. 10; test set median Pearson r=0.92; median Spearman correlation, p=0.93; median MAE=5.3%).

Next, the predictive performance of the model was compared with ichorCNA (Adalsteinsson V A, et al. Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors. Nature Communications 8, 1324 (2017)), a method that estimates the ctDNA fraction on the basis of arm-level copy number alterations in low-pass WGS data. Overall, ichorCNA generally predicted comparable estimates of ctDNA burden (FIG. 11; Pearson r=0.91; Spearman correlation, p=0.92). However, while 31 out of 120 low burden samples (ctDNA burden <5%) were predicted as non-cancerous by ichorCNA (FIG. 12), only 4/120 were predicted as non-cancerous by the NDR approach. This is consistent with the reported 3% lower limit of detection using arm-level CNAs in ichorCNA (Adalsteinsson V A, et al. Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors. Nature Communications 8, 1324 (2017)).

TABLE 1

Table 1 NDR features predictive of ctDNA fraction in CRC.

Gene
Transcript
Chr
Site
Region
Expr.
FPKM_blood
FPKM_CRC
Pr

SHKBP1
ENST00000599716
19
41082891
junction
blood
10.66
0.22
1.000

ACSL1
ENST00000454703
4
185747070
junction
blood
35.07
0.78
1.000

BCAR1
ENST00000162330
16
75285369
junction
tumor
0.00
16.86
1.000

RAB25
ENST00000361084
1
156030951
promoter
tumor
0.07
131.50
0.999

PRTN3
ENST00000234347
19
840960
promoter
blood
13.78
0.00
0.995

LSR
ENST00000605618
19
35739922
promoter
tumor
0.22
31.85
0.990

The column Site is the position of the nucleosome-depleted site (GRCh37); Region is the annotated class of the nucleosome-depleted site (promoter or exon-intron junction); Expr. denotes whether the transcript is specifically expressed in CRC tumor tissue or whole blood cells; Pr is the probability/frequency with which the feature was selected in the Lasso stability-selection approach.

Additional Predictive Features for Colorectal Cancer

Apart from the 6 robust features identified, there may exist other predictive features that correlate with ctDNA burden. A step-wise search with Lasso regression on all 344 in silico samples was performed and the top stable 6 features in each step were extracted to estimate ctDNA fractions. The search was repeated for 100 independent times, followed by pooling all predictive features with a deviation threshold of 3% (FIG. 20). This analysis yielded 435 6-feature combinations with a predictive accuracy 3% (see Table S14), comprising a total of 158 unique features (see Table S15).

Targeted NDR Assay to Estimate ctDNA Burden

Intriguingly, since the predictive models used data from only a few NDRs, it was hypothesized that a targeted sequencing approach could be deployed for robust and low-cost estimation of ctDNA burden. The CRC model only requires cfDNA relative coverages at 6 NDRs (Table 1). The inventors therefore designed capture probes for these 6 regions (total ˜24 kb) and performed targeted sequencing (˜300×) on 53 new plasma samples from CRC patients (FIG. 4a), followed by ctDNA burden estimation from the relative coverage of the NDRs using the existing CRC model. To examine the accuracy of the model on targeted NDR sequencing data, low-pass WGS (˜4×) was also performed on the same plasma samples for ctDNA content estimation with the CNA-based method, ichorCNA. High concordance (Pearson r=0.84; Spearman correlation, p=0.79) of estimated ctDNA burden with the CNA and NDR-based approaches was observed (FIG. 4b and Table S6). Moreover, in the 53 samples (FIG. 4a, Table S6), targeted sequencing (˜6000×) of a panel of 100 frequently mutated genes (˜370 kb, Table S7) in colorectal cancer was performed. SNVs called by MuTect and VarScan were intersected and further filtered to minimize false positives (Table S8, see Methods). This analysis identified high-confidence somatic mutations in 27 plasma samples and revealed high correlation (Pearson r=0.85; Spearman correlation, p=0.88) between maximum VAFs and NDR-based ctDNA burden estimates across samples (FIG. 4c and Table S6). ctDNA was detected in 49 out of 53 (92%) samples with the targeted NDR approach, compared to 33/53 (62%) and 27/53 (51%) with ichorCNA and SNV calling approaches, respectively. The 4 ctDNA-negative samples identified with the NDR approach were also ctDNA-negative using ichorCNA and the SNV approach (Table S6). Overall, this demonstrates that the NDR-based estimation approach is robust and can be deployed with a compact and low-cost targeted sequencing approach.

NDR-Based Monitoring of ctDNA Dynamics and Disease Progression

To further explore how NDR-based ctDNA burden estimation could be used for low-cost monitoring of cancer progression, targeted NDR assay was applied to serial plasma samples collected from five CRC patients (FIG. 4d). Overall, targeted NDR profiling showed concordant ctDNA burden dynamics when compared with SNV VAFs profiled in the same samples, with coinciding increases and decreases in ctDNA burden and VAFs over time. For example, patient C357 showed generally increasing ctDNA burden and VAFs over time, and patient C986 had an intermediate coinciding peak in both ctDNA burden and VAFs. Driver mutations in TP53, PIK3CA and APC were detected in patient C986. While VAFs of these mutations were highly correlated, they showed a between-mutation spread of ˜0.1-0.2 VAF units across all timepoints. Similarly, patient C519 had TP53 and APC mutations with a ˜0.2-0.3 unit difference in VAFs. While such differences may be caused by both technical (e.g. capture efficiency) and biological (e.g. clonality or concomitant CNAs) bias, they demonstrate the challenge in estimating ctDNA burden levels based on VAFs alone.

It was noted that a number of plasma samples for which the NDR-based ctDNA burden was inferred to be positive, yet the variant calling pipeline identified no SNVs under default settings. To further understand this discordance, the raw sequencing data in these “mutation-free” plasma samples was manually inspected. Indeed, when searching for variants that were identified in other samples/timepoints from the same patients, the raw sequencing data supported presence of the expected SNVs in all the samples with positive NDR-quantified ctDNA burden (Table S9). In contrast, one plasma sample (patient C1531, day 191) was quantified with zero ctDNA burden by the NDR approach and manual screening confirmed absence of TP53 and APC mutations in this sample (Table S9). Overall, these results highlight the robustness of the targeted NDR assay for ctDNA burden estimation.

It was next explored how ctDNA burden dynamics correlate with response to targeted or cytotoxic treatments. Patient C357 was treated with Regorafenib (days 821-842 after diagnosis) followed Trifluridine (days 979-1026). However, ctDNA burden estimation in this time interval (days 800-1056) showed no drop in ctDNA burden following either treatment, indicating tumor resistance to both drugs; end-treatment CT scans (Day 916 and 1056 respectively) confirmed progressive disease. In contrast, patients with positive response to treatment showed a marked reduction of ctDNA burden in plasma. For example, patient C1531 received the chemotherapy regimen of FOLFOXIRI (days 82-175) and had on and post-treatment CT scans showing partial response. Strikingly, this patient showed a concomitant and marked drop in ctDNA burden both during (day 160) and after (day 191) treatment. In patient C575, TP53 and ATR mutations were only identified at two out of four timepoints by the pipeline. In this patient, both CT scans and ctDNA burden estimation inferred stable disease during the first round of XELOX/bevacizumab treatment (days 612-833). However, during the second round of treatment, both the ctDNA burden increased (day 864) and CT scans confirmed progressive disease, indicating acquired drug resistance. Finally, discrepancies between tumor dynamics inferred from CT imaging and ctDNA burden has previously been reported. Patient C519 reflected one such example, where CT scans indicated progressive disease while both ctDNA burden estimates and mutation VAFs decreased.

Estimation of ctDNA Burden Across Cancer Types

The predictive model for CRC ctDNA burden included 3 (out of 6) NDR coverage features from genes overexpressed in whole blood. Intriguingly, a predictive model completely restricted to blood-specific genes could hypothetically quantify the extent that a cfDNA profile deviates from a healthy baseline profile, allowing prediction of ctDNA burden across different cancer types. Indeed, the inventors were able to identify genes overexpressed in whole blood compared to solid tumor tissue that also had decreased NDR coverage in plasma samples from healthy individuals as compared to patients of distinct cancer types (FIG. 5a). To further systematically test this idea, deep (˜72-94×) cfDNA WGS sequencing of blood samples from 10 breast cancer patients was performed (Table S1) and # in silico diluted cfDNA samples of variable ctDNA burden were generated (Table S2, FIG. 5b). Since germline data was not available for the BRCA patients, ctDNA fractions were estimated in the 10 BRCA samples using ichorCNA. Transcripts highly overexpressed in whole blood compared to solid tumor tissues were then shortlisted (comprising 20 different solid tumor types, FIG. 5b), yielding 792 blood-specific candidate NDR features (Table S10). Using a training dataset comprising cfDNA samples from both CRC and BRCA patients, it was found that models comprising approximately 10 features were able to generalize well to unseen data from both cancer types (FIG. 13, Table 2).

TABLE 2

Table 2: Pan-cancer top-10 features. Columns/Gene: gene name/Transcript:

transcript ID/Chr: chromosome/Site: coordinate of nucleosome-depleted

site (GRCh37)/Region: location of nucleosome-depleted site/Group: gene group

based on its expression in blood and tumor/FPKM_blood: FPKM value in

normal blood. Their FPKM values in tumors of 20 cancer types (BLCA,

BRCA, CESC, CRC, ESCA, GBM, HNSC, KIRC, KIRP, LGG, LIHC, LUAD, LUSC,

OV, PAAD, PRAD, SKCM, STAD, THCA, and UCEC) are all <1.

Gene
Transcript
Chr
Site
Region
Group
FPKM_blood

SLC11A1
ENST00000465984.5
2
219246911
promoter
blood
10.54

NLRP12
ENST00000324134.10
19
54327597
promoter
blood
9.17

PRTN3
ENST00000234347.9
19
840960
promoter
blood
13.78

HMBS
ENST00000392841.1
11
118958697
promoter
blood
7.28

LILRB3
ENST00000460208.1
19
54721567
promoter
blood
51.15

ACSL1
ENST00000513001.5
4
185678973
junction
blood
17.65

GP9
ENST00000307395.4
3
128779693
junction
blood
9.72

MX2
ENST00000398632.3
21
42774561
promoter
blood
7.28

RASGRP4
ENST00000615340.4
19
38916837
promoter
blood
6.88

ATG16L2
ENST00000542481.1
11
72534940
promoter
blood
25.18

A model fitted with the training data using the top 10 predictive features (Table 2) had a mean absolute error of 2.2%, with comparable accuracy in CRC and BRCA samples (FIG. 5c). In the unseen CRC and BRCA test data (FIG. 5d), the model achieved an overall accuracy (MAE=4.3%; Pearson r=0.95; Spearman correlation, p=0.97; FIG. 14), comparable to the CRC-specific model applied to CRC data (MAE=3.4%; Pearson r=0.96; Spearman correlation, p=0.97; FIG. 3e, f) and a BRCA-specific model applied to the BRCA data (MAE=6.1%; Pearson r=0.97; Spearman correlation, p=0.97; FIG. 15). A strong concordance was also observed between the CRC+BRCA and CRC-specific models in their predicted ctDNA fractions in the test set plasma samples from CRC patients (Pearson r=0.95; Spearman correlation, p=0.95; FIG. 16). The lower limit of detection for the CRC+B RCA model was analysed by evaluating the sensitivity and specificity of the model as a function of ctDNA fraction threshold. The 206 in silico test set samples (113 CRC+93 BRCA, FIG. 5d) were used as positives and 40 random subsets (Table S11, ˜80× each) from healthy individuals were used as negatives. At a 3% ctDNA fraction detection limit, the CRC+BRCA model achieved 100% sensitivity and specificity (Table S11). In comparison, at a 2% threshold, the sensitivity was almost maintained at 99.5% but the specificity dropped to 88%. These results support that a model based on a limited set of blood-specific NDR features can predict ctDNA fractions across two distinct cancer types. FIG. 21 provides an overview of the machine learning feature selection, model fitting, and train/test set performance for pan-cancer features.

Additional Predictive Features for Pan-Cancer

Lasso regression with all 792 blood features was employed to identify all potential predictive combination of pan-cancer features. A step-wise extensive search was carried out on all the 652 in silico samples (see Table S2), and the top 10 features in each step were extracted to estimate ctDNA content (FIG. 22). The inventors pooled all predictive features with a deviation threshold of 4% from 100 independent runs. This analysis yielded 385 10-feature combinations with a predictive accuracy ≤4% (Table S16), comprising a total of 132 unique features (Table S17).

Additional Predictive Feature Combinations

An additional search for predictive and feature combinations for both the CRC and pan-cancer models was performed. While this search was implemented as previously described (FIGS. 22 and 24), a modified approach was used to generate in silico samples, which better preserved variability in cfDNA profiles across individuals: Each cancer cfDNA sample was in silico diluted by the normal data from a random subset (n=19) of all 29 healthy samples. In this analysis, the CRC model yielded 119 new 6-feature combinations with a predictive accuracy ≤4% (FIG. 23, Table S18), comprising a total of 68 unique features (Table S19). 61 out of these 68 features were also identified as predictive in the previous CRC model (Table S15). Similarly, the pan-cancer model yielded 217 new 10-feature combinations with a predictive accuracy 5% (FIG. 23, Table S20), comprising a total of 76 unique features (Table S21) with 63/76 identified in the previous pan-cancer model (Table S17).

Discussion

Monitoring of ctDNA offers a non-invasive approach to tracking disease progression and has been demonstrated as a valuable real-time tool for assessing therapeutic response. Here, it is shown that cfDNA coverage patterns at tumor and blood-specific NDRs can be used for quantitative estimation of the ctDNA burden in blood plasma samples. While SNV VAFs can be used as a proxy for the ctDNA burden, this only works for the subset of patients with known and measured clonal SNVs in a given targeted gene panel. SNV-based approximation of ctDNA burden may be further challenged by clonal haematopoiesis, which is frequently observed in cancer patients. Additionally, absolute ctDNA fraction estimation from SNVs requires co-estimation of allele zygosity and clonality, which may be challenging to infer for metastatic patients with multiple independently evolving tumors contributing ctDNA to the blood circulation. Furthermore, in low ctDNA burden samples, which are common and clinically important, NDR-based burden estimation showed improved accuracy as compared to a Ip-WGS-based estimation method. In contrast to Ip-WGS and DNA methylation-based profiling, NDR-based estimation is directly compatible with targeted gene panel sequencing. Since the ctDNA burden estimation model requires data from 10 or less NDRs, these regions can be profiled at low cost by capturing <25 kb of genomic sequence. Targeted cfDNA assays often cover hundreds of genes and >1 Mb captured genomic sequence, with larger panels required for profiling across cancer types and tumour mutation burden estimation. It would be straightforward to co-profile NDRs in such assays, with only a minor increment in panel size. Furthermore, down-sampling analysis showed that the NDR approach is robust down to 100× sequence coverage (FIG. 17), imposing a sequencing demand equivalent to ˜0.001×WGS, orders of magnitude lower than current Ip-WGS approaches. Importantly, an integrated NDR/gene assay would be able to estimate ctDNA burden in patients without clonal mutations in targeted cancer genes, potentially corresponding to 5-70% of patients depending on cancer type. The approach could enable low-cost and simultaneous quantitative estimation of ctDNA burden and mutational profiling in response to treatment interventions. Indeed, given the estimated lower limit of detection (˜2%) of the NDR approach, this application (i.e. simultaneous quantitative estimation of ctDNA burden and mutational profiling in response to treatment interventions) may be more relevant as compared to employing the NDR approach for screening of cancer in healthy/cancer-free individuals. Furthermore, critical for treatment decision support, independent ctDNA burden estimates could assist in classification of clonal and subclonal actionable mutations. Intriguingly, it was found that a model restricted to blood-specific NDRs could robustly predict ctDNA burden across both colorectal and breast cancer patients, suggesting it might be possible to estimate ctDNA burden independently of tumor types and metastatic lesions.

Nucleosome positioning across gene bodies, and its association with transcriptional activity, has been studied using both biochemical assays and cfDNA profiles. Unexpectedly, the systematic analysis across ordered exon-intron junctions revealed that, in addition to the promoter, only the first exon-intron junction showed signatures of strong nucleosome and expression-dependent cfDNA degradation (FIG. 2a and FIG. 6). Interestingly, transcription and splicing are coupled processes, and it has been observed that H3K4me3 and H3K9ac chromatin marks of active transcription are concentrated specifically at both promoters and ends of first exons. The data further supports that nucleosome depletion and DNA accessibility at the first exon-intron splice junction is strongly associated with transcriptional activity, supporting a model where the first exon splice region may act as a transcriptional enhancer.

In summary, the inventors have shown how tissue and expression-specific cfDNA degradation at NDRs can be used to quantitatively estimate ctDNA burden in blood samples. The approach is directly compatible with targeted gene sequencing, allowing for low-cost and simultaneous discovery of actionable cancer mutations and accurate estimation of ctDNA burden. It is anticipated that next-generation cfDNA assays based on these findings will be useful for quantitatively tracking and analysing cancer disease progression across time and patients.

Materials and Methods
Plasma Samples

Cancer patient and healthy volunteer samples were collected under studies 2013/110/B (now 2018/2795) and 2012/733/B approved by the Singhealth Centralised Institutional Review Board. Plasma was separated from blood within 2 hours of venipuncture via centrifugation at 10 min×300 g and 10 min×9730 g, and then stored at −80° C. DNA was extracted from plasma using the QlAamp Circulating Nucleic Acid Kit following manufacturer's instructions. Sequencing libraries were made using the KAPA HyperPrep kit (Kapa Biosystems, now Roche) following manufacturer's instructions and paired-end sequenced (2×151 bp) on either an Illumina Hiseq4000 or HiseqX.

Whole Genome Sequencing

A targeted sequencing panel (Table S7) was first used to screen plasma samples from CRC patients and 12 samples (Table S1) of likely high ctDNA burden were selected, having maximum VAF >15% for known CRC cancer driver mutations (Supplementary Data 1). Similarly, 10 BRCA plasma samples of high ctDNA burden were selected, with either VAF >15% based on a panel of 77 genes (Table S12) of common breast cancer mutations (Supplementary Data 2), or alternatively, significant proportions (>20%) of short (length <150 bp) cfDNA fragments (Table S1). It has been reported that short cfDNA fragments below 150 bp are enriched in high-ctDNA plasma samples. Deep WGS (˜90×) was performed on the 12 cfDNA samples from 7 CRC patients and 10 cfDNA samples from 10 BRCA patients (Table S1). For the 5 CRC patients with 2 samples each, there was at least a 12 months interval between the two samples. Bwa-mem (Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv preprint arXiv:13033997, (2013)) was used to align the WGS reads from healthy (n=29, ˜5× coverage), cancer (CRC n=12, BRCA n=10, ˜90× coverage), and germline samples (CRC n=12 ˜30× coverage, not available for BRCA) were matched to the hg19 human genome. Duplicates were marked using biobambam (Tischler G, Leonard S. biobambam: tools for read pair collation based algorithms on BAM files. Source Code for Biology and Medicine 9, 13 (2014)). It has been found that trimming reads from both ends increased the coverage signal of nucleosome positioning. Similarly, the original reads (˜151 bp) were trimmed from the two ends and the central 61 bp was preserved to amplify the nucleosome-associated DNA degradation signal. BAM files of healthy individuals were merged using SAMtools merge function (Li H, et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078-2079 (2009)). Low-pass WGS (˜4×) was performed on 53 cfDNA samples from 23 CRC patients (Table S6).

Sample Preparation for Targeted Sequencing

Plasma and patient-matched buffy coat samples were isolated from whole blood within six hours from collection and stored at −80° C. DNA was extracted with the QlAamp Circulating Nucleic Acid Kit, followed by library preparation using the KAPA HyperPrep kit. All libraries were tagged with custom dual indexes containing a random 8-mer unique molecular identifier. Targeted capture was performed on xGen custom panels (Integrated DNA Technologies) relevant to the experiment: a) panel of 100 genes selected based on literature review for relevance to colorectal and breast cancer, see Table S7, or b) capture probes (Supplementary Data 3) targeting genomic regions (4 kb centered at the sites in Table 1) related to the 6 NDRs predictive of ctDNA content in colorectal cancer. Paired-end sequencing (2×151 bp) was done on an Illumina Hiseq4000 machine.

Variant Calling and Allele Frequency Estimation

Sequencing data was analyzed using the bcbio-nextgen pipeline (Guimera R V. bcbio-nextgen: Automated, distributed next-gen sequencing pipeline. EMBnetjournal 17, 30 (2012)), including read alignment with BWA mem, PCR duplicate marking with biobambam, as well as recalibration and realignment with GATK (DePristo M A, et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nature genetics 43, 491 (2011)). Somatic variant calling was performed using MuTect (Cibulskis K, et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nature biotechnology 31, 213 (2013)) and VarScan (Koboldt D C, et al. VarScan: variant detection in massively parallel sequencing of individual and pooled samples. Bioinformatics 25, 2283-2285 (2009)) with default parameters, and all calls were annotated with Variant Effect Predictor (McLaren W, et al. The ensembl variant effect predictor. Genome biology 17, 122 (2016)). Variants were removed if they were outside coding regions. The inferred VAFs were either from one of the two callers if the variant was missed by one caller, or the mean if the variant was called by both callers (Table S8). Variants from HLA-A, KMT2C and MUC17 were filtered because the majority of variants in these genes were also found by at least one caller at >=0.005 VAF in buffy coat sequencing.

Gene Expression Analysis

Tissue-specific RNA-seq transcript expression data was obtained from GTEx (including 337 whole blood samples; Table S14). Tumor RNA-seq transcript expression was obtained from TOGA (Table S14). Because a gene usually comprises multiple alternative transcripts with different genomic positions, gene expression was studied at the transcript level for a precise mapping of promoter and junction locations. Transcripts of all coding genes were grouped on the basis of their expression level (fpkm) in whole blood. If a group (e.g. 0.1<fpkm≤1; 25155 transcripts) had more than 5000 transcripts, 5000 transcripts were randomly to represent the group. Unexpressed genes were defined as transcripts that were not expressed in 99% of all 7861 GTEx samples.

Relative Cf DNA Coverage Estimation

Read coverage at promoter and junction regions was computed from BAM files with SAMtools depth function (Li H, et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078-2079 (2009)). For the promoter region (−150 to 50 bp relative to TSS), the mean raw coverage across the region was divided (yielding “relative coverage”) by the mean coverage of the upstream (−2000˜-1000 bp relative to TSS) and downstream (1000˜2000 bp relative to TSS) flanks (FIG. 18). Thus, the mean coverage of the combined upstream and downstream 2 k bp flanks serves as a “normalization factor”. A similar approach was used for exon-intron junctions (FIG. 18). To measure the difference of relative coverage at NDRs between plasma samples from CRC patients and healthy individuals, the relative coverage score was computed:

$score = \frac{mean (CRC) - m e a n (h e a l t h y)}{\sqrt{s . d . (CRC)}}$

where mean(CRC) and mean(healthy) are the mean of average relative coverages at NDRs across CRC plasma and healthy plasma samples respectively, and s.d. (CRC) is the standard deviation of average relative coverages at NDRs across CRC samples. The variance in healthy samples could not be estimated due to low sequencing depth (˜5×). When computing average relative coverage of each NDR (either −150 to 50 bp relative to TSS, or −300 to −100 bp relative to first exon end), positions with relative coverage >2 were truncated to reduce bias from potential outlier values.

To explore the association between relative coverage and a range of epigenetic features, linear regression was used to fit each candidate feature (covariate) with relative coverage (response). Whole blood gene expression (fpkm) was discretized into 6 bins [unexpressed, 0.01<fpkm≤0.1, 0.1<fpkm≤1, 1<fpkm≤5, 5<fpkm≤30, fpkm >30] and fitted as a categorical covariate with the unexpressed group as the reference group. Peaks of epigenetic features [DNase, H3K4me3, H3K36me3, H3K27ac, H3K4me1, H3K9me3 and H3K27me3] from primary T-cells (E034) were obtained from the Roadmap Epigenomics Project. Epigenetic features were fitted as binary covariates with no signal as the reference group.

Estimation of ctDNA Fractions from Deep WGS cfDNA Data

The ctDNA fractions in CRC plasma samples were quantified using four different methods: THetA2, TitanCNA, AbsCN-seq and PurBayes (Oesper L, Satas G, Raphael B J. Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data. Bioinformatics 30, 3532-3540 (2014); Ha G, et al. TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data. Genome research 24, 1881-1893 (2014); Bao L, Pu M, Messer K. AbsCN-seq: a statistical method to estimate tumor purity, ploidy and absolute copy numbers from next-generation sequencing data. Bioinformatics 30, 1056-1063 (2014); Larson N B, Fridley B L. PurBayes: estimating tumor cellularity and subclonality in next-generation sequencing data. Bioinformatics 29, 1888-1889 (2013)). These methods were originally developed to use matched tumor tissue and germline Exome/WGS data to estimate mutation and copy number tumor heterogeneity, including tumor purity. Here, these methods were applied to the ˜90× cfDNA and ˜30× matched germline (buffy coat) WGS data to estimate ctDNA fractions. Somatic mutations and copy number alterations, as input to AbsCN-seq and PurBayes, were called by SMuRF (Huang W, Guo Y A, Muthukumar K, Baruah P, Chang M M, Skanderup A J. SMuRF: Portable and accurate ensemble prediction of somatic mutations. Bioinformatics (Oxford, England), (2019)) and CNVkit (Talevich E, Shain A H, Botton T, Bastian B C. CNVkit: genome-wide copy number detection and visualization from targeted DNA sequencing. PLoS Comput Biol 12, e1004873 (2016)), respectively, using the bcbio-nextgen workflow (Guimera R V. bcbio-nextgen: Automated, distributed next-gen sequencing pipeline. EMBnetjoumal 17, 30 (2012)). The median of these four ctDNA fraction estimates for a given sample was used as the final consensus estimate of the ctDNA fraction. Since germline samples were not available for the BRCA patients, the ctDNA fractions of the BRCA plasma samples were estimated by ichorCNA (Adalsteinsson V A, et al. Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors. Nature Communications 8, 1324 (2017)).

In Silico Sample Generation

The cancer cfDNA samples were in silico diluted by mixing cancer cfDNA reads with reads from healthy samples, maintaining the same average coverage as the original undiluted cancer cfDNA sample. The in silico generated samples were diluted from ctDNA content ranging from 0.005 up to the original undiluted fractions, with a denser sampling of low fractions 0.05 (Table S2). The inventors generated a training set of 231 samples originating from 8 samples from 5 CRC patients, and a test set of 113 samples originating from 4 samples from 2 additional CRC patients. For BRCA, the training set comprised 215 in silico generated samples from 7 patients/samples, and the test set had 93 samples from 3 patients/samples (Table S2).

Generation of NDR Features

The relative coverage score (see above) of NDRs for all transcripts was computed and the relative coverage score was combined with expression data to shortlist tumor/blood-specific transcripts associated with differential tumor/blood NDR cfDNA coverage. For each transcript, the inventors calculated its median fpkm (fpkm_blood) across all whole blood samples, its median fpkm (fpkm_CRC) across all CRC samples, as well as its respective median fpkm values for other tumor types. Tumor transcripts were defined as being highly expressed in CRC tumor, lowly expressed in normal blood cell, and more highly degraded in CRC samples at both promoter and junction NDRs (fpkm_CRC>10, fpkm_blood<1, relative coverage score <−0.2). Blood transcripts were defined with similar rules (fpkm_CRC<1, fpkm_blood>10, relative coverage score >0.2). This approach shortlisted 284 CRC and 210 blood transcripts, each transcript with two features (promoter and junction NDR coverage). After removing overlapping features (multiple transcripts sharing the same NDR), NDR coverages of the resulting 529 tumor and 379 blood features (total n=908) were used as input features for predictive modelling. For the CRC+BRCA model, only transcripts with blood-specific expression (fpkm_blood>5) that were also lowly expressed (fpkm <1) in tumors of all 20 tumor types were shortlisted (TCGA tumor type acronyms: BLCA, BRCA, CESC, CRC, ESCA, GBM, HNSC, KIRC, KIRP, LGG, LIHC, LUAD, LUSC, OV, PAAD, PRAD, SKCM, STAD, THCA, UCEC), leading to a total of 792 features.

Lasso Regularized Regression to Predict ctDNA Fraction

Lasso regularized linear regression using glmnet (Friedman J, Hastie T, Tibshirani R. Regularization paths for generalized linear models via coordinate descent. Journal of statistical software 33, 1 (2010)) was used to select features and predict ctDNA content in plasma cfDNA samples. To select robust features, half of the training data was first extracted randomly and Lasso with ten-fold cross-validation was used to identify features predictive of ctDNA fractions. This procedure was repeated 1000 times and the top stable features (selection frequency 0.99) were extracted as the final predictive features, which resulted in 6 predictive features (Table 1) for the CRC-specific model and 10 predictive features (Table 2) for the CRC+BRCA model, respectively. The inventors trained the final predictive model with ten-fold cross-validation on the full training set. The inventors also attempted to predict ctDNA fractions with log-transformed relative coverage, and tested the performance using a logistic regression model, both of which failed to outperform the current model in prediction accuracy (data not shown).

To evaluate the robustness of the model when was trained and tested on in silico samples generated using independent healthy samples, the normal samples were split evenly into 2 sets. The first set (N1) was used to perform in silico spike-ins/dilution of the training set, and the second set (N2) was used for in silico dilution of the test set. Briefly, the coefficients of the CRC model (comprising the 6 features in Table 1) were re-fitted using the training data (diluted with the N1 healthy samples), and the model accuracy on the withheld test samples (diluted with N2) were then evaluated. This procedure was repeated 10 times and the model accuracy on the test data generated using the independent normal samples was evaluated.

ichorCNA Benchmarking

For the in silico samples, of DNA reads from the 12 deep-WGS CRC samples were mixed with reads from healthy samples to generate in silico low-pass samples (˜0.1×) for ctDNA content estimation using ichorCNA. The usage guidelines with default parameters were followed in the 2 step workflow: 1) read count coverage calculation with HMMcopy Suite, and 2) tumor content estimation with ichorCNA R package.

Data Availability

cfDNA sequencing data have been deposited at the European Genome-phenome Archive (EGA) under the accession code EGAS00001004657. The data is made available for academic research. Data will be released subject to a data transfer agreement.

SUPPLEMENTARY TABLES AND DATA

Table S1. ctDNA burden estimation of plasma samples from cancer patients.

Table S2. The in silico samples of various ctDNA content.

Table S3. Information on all candidate features of nucleosome-depleted regions for colorectal cancer.

Table S4. Coefficients for the selected NDRs in the trained models.

Table S5. Observed ctDNA fractions in the LOD analysis for the CRC model.

Table S6. CRC plasma samples for Ip-WGS and targeted sequencing.

Table S7. A panel of 100 genes frequently mutated in colorectal and breast cancer.

Table S8. Variant allele frequency estimation of CRC plasma samples.

Table S9. Mutations missed by the callers for the CRC patients with serial plasma samples.

Table S10. Information on all candidate pan-cancer features of nucleosome-depleted regions.

Table S11. Observed ctDNA fractions in the LOD analysis for the CRC+BRCA model.

Table S12. A panel of 77 genes for screening breast cancer samples.

Table S13. Transcript expression data.

Table S14. Information on all predictive features for colorectal cancer

Table S15. Information on predictive features for colorectal cancer

Table S16. Information on additional predictive pan-cancer features

Table S17. Information on predictive pan-cancer features

Table S18. All predictive feature combinations for CRC using in silico samples generated with random subsets of healthy samples.

Table S19. Information on predictive features for CRC using in silico samples generated with random subsets of healthy samples.

Table S20. All predictive pan-cancer feature combinations using in silico samples generated with random subsets of healthy samples.

Table S21. Information on predictive pan-cancer features using in silico samples generated with random subsets of healthy samples.

Supplementary Data 1
Supplementary Data 2
Supplementary Data 3

TABLE S1

ctDNA burden estimation of plasma samples from cancer patients.

tumor content estimation -
tumor content estimation -

sample
cancer

repetition 1
repetition 2

sample name
ID
type
coverage
theta2
titanCNA
abscnseq
PurBayes
theta2
titanCNA

1014_180816
CRC-1
CRC
80.84
0.38
0.55
0.48
0.43
0.38
0.55

1279_221015
CRC-9
CRC
94.67
0.43
0.65
0.50
NA
0.43
0.65

1279_241116
CRC-10
CRC
95.22
0.66
0.49
NA
0.40
0.66
0.49

1531_160616
CRC-2
CRC
90.65
0.86
NA
NA
0.93
0.86
0.82

1531_180119
CRC-3
CRC
100.63
0.67
0.48
0.32
0.30
0.75
0.48

512_051015
CRC-11
CRC
79.96
0.64
0.69
0.49
0.44
0.64
0.69

512_130114
CRC-12
CRC
79.90
0.27
0.51
0.44
0.35
0.27
0.51

519_210114
CRC-4
CRC
87.27
0.30
0.40
0.35
0.36
0.30
0.40

809_030915
CRC-5
CRC
75.76
0.45
0.64
0.59
0.44
0.45
0.64

809_110914
CRC-6
CRC
72.56
0.35
0.59
NA
NA
0.35
0.59

986_100215
CRC-7
CRC
71.63
0.25
0.69
0.50
0.36
0.25
0.69

986_261016
CRC-8
CRC
76.72
0.34
0.54
0.51
0.37
0.34
0.54

tumor content estimation -
tumor content estimation -
mean
median

repetition 2
repetition 3
ctDNA
ctDNA

sample name
abscnseq
PurBayes
theta2
titanCNA
abscnseq
PurBayes
content
content

1014_180816
0.48
0.43
0.38
0.55
0.48
0.43
0.46
0.45

1279_221015
0.50
NA
0.43
0.63
0.50
0.83
0.56
0.50

1279_241116
NA
0.40
0.66
0.49
NA
0.40
0.52
0.49

1531_160616
NA
0.94
0.85
0.81
NA
0.93
0.87
0.86

1531_180119
0.32
0.83
0.75
0.50
0.32
0.79
0.54
0.49

512_051015
0.49
0.44
0.59
0.68
0.49
0.88
0.60
0.61

512_130114
0.44
0.35
0.27
0.52
0.56
0.35
0.40
0.39

519_210114
0.35
0.36
0.30
0.43
0.35
0.35
0.35
0.35

809_030915
0.59
6.44
0.45
0.63
0.59
0.94
0.57
0.59

809_110914
NA
NA
0.35
0.60
NA
0.47
0.47
0.47

986_100215
0.50
0.36
0.25
0.47
0.50
0.37
0.43
0.42

986_261016
0.51
0.37
0.34
0.54
0.51
0.37
0.44
0.44

sample name
sample ID
cancer type
coverage
ctDNA content estimated from ichorCNA

D14
BRCA-1
BRCA
86.98
0.70

D23
BRCA-2
BRCA
79.41
0.76

D7
BRCA-3
BRCA
94.33
0.13

D9
BRCA-4
BRCA
89.86
0.66

E10c
BRCA-5
BRCA
87.92
0.58

E7c
BRCA-6
BRCA
85.45
0.51

E8c
BRCA-7
BRCA
78.51
0.54

D19
BRCA-8
BRCA
76.67
0.74

E2c
BRCA-9
BRCA
71.80
0.41

E62
BRCA-10
BRCA
71.50
0.54

TABLE S2

The in silica samples of various ctDNA content.

4
posient D
sample name
sample D
MNA fraction
sample size

training set
1014
1014,180816
CRC-1
0.005, 0,010, 0,015, 0,020, 0,025, 0,030, 0,035, 0,040, 0,045, 0.050, 0.075.0.100, 0.125.0,150.0.175, 0.200,
27

0,225. 0.250, 0.275, 0.300, 0.325, 0.350, 0.375, 0.400, 0.425, 0.450, 0.455

CRC
1531
1531160616
CRC2
0,005. 0.010.0.018, 0.020,0.0250.020,0.035,0.040,SMS, 0.050,0,075,0,100,5.125,0.150,0.1 IS.0.200.
43

0.225, 0.250,0.275, 0.300,0.325,0.350.0.375.0.4000.425.0.475,0.500,0.525,0,550,S.575.0.800,

0.625, 0,660,0.675,0,700,0.725,0.750,0.775,0.800,0.825, 0.850,0.858

1531
1531,180119
CRO3
0.005.0,015, 0,020, 0,025, 0,030, 0,035, 0,040, 0,045, 0.090, 0.075.0.100.0.125.0.150.0.175. 0,200,
28

0.225. 0.250 0.275, 0.300, 0,325, 0.350,0.375, 0.400, 0.425, 0.450,0.475, 0.490

519
$19,210114
CRO-4
0.005, 0.010, 0.015,0.020, 0.025, 0.030, 0.035, &M0, SMS, 0.050, 0.075,0,100, 0.125,0.150,0.17S. 0.200,
23

0.225, 5.250,0.275, 6.300,0.325, 0.350. 0.351

809
309,030915
CRC5
0.005, SMS, SMS, 0.020, 0.025, 0.030.0.035.0.040 SMS. 0,050. 0.075. 0.100, 0.125.. 0.150.0.175, 0.200.
32

0.225. 0 250,0 275,0.300), 0.325, 0.350, 0.375, S.400,0.425,0.450,0.475,0.500,0.525, 0.550. 0.575. 0.580

809
809110914
CRC6
0.005. SMS, 0 615,0,020, 0.025, 0,030 SMS. 0.040, SMS. 0.050, 0.075.0.180.0.125. 0.150. 0175. 0 200,
27

0.225, 0.258,0.275,0.300, 0.325, 0 350,0.375, 0,400,0.425, 8.450,0.469

986
988,,100215
CR07
SMS. SMS. SMS. 0.020,0.025 0,030.0.035. 0.040, SMS, 0.050, 0,075, 8.100,8.125.0,150, 0.1 IS. 0.200,
25

0.226, 0.250, 0.275, 0.300,0,325, 0,350, 0.375, 0400. SMS

988
986,261016
CRC-8
0005, SMS, SMS, 0,020,0.025, 0,030. 6,035. QMS. QMS. 0.050, 0.075, 0 100, 0.125, 8,158,0.175, 0.200,
26

0.225. 8 250, 8275,0.300, 0.325, 0.350, 0.375, 0.408.0.42$, 0.448

traising set
BRCA-D14
DU
BRCA-
QMS. QMS. QMS. 0.020, 0.025, 0.030, SMS. SMS, SMS, 0.080, 0.075, 0.100, 0.125, 0.150. 0.1 IS. 0.200
36

0.225, 0.258,0.275,0.300. 0.325, 0.350, 8.375.0.400, S 425, SASS, 0.475, 0,500, 8.525,8.558,0.575 0.600,

0625, QMS, 0.875,0.6967

BRCA
BRCA-023
023
BRCA.2
0005, QMS, QMS, 0.020, 0.025, 0,030.0.835. QMS. QMS. 0.050, 0,075.8.183,0.125, 0.150, 0.1 75, QMS,
39

0.225.0,250, 0.275, 8.300,0,325, 8.350,0.375, 0,400, 0.425.0.450, 0.475, 0.500. 0.525.0.550. 0,575.0,600,

0.625, 0.658,0.675,0.700. 0.725, 0.750, 0,7567

BRCA-O7
07
BRCA-3
0,005. 0.010. SMS. 0.020, 0.025 0.030, 0,035, SMS, QMS, 0.050, 0.075,8,180.3.125.9,1288
14

BRCA-09
09
8RCA4
0.005. SQM, SMS, 0.020, 0.025, SMS, SMS. QMS, QMS, 0.058,0.375.0.100 0.125.8.150. 0.175 Q.2M,
35

0.225. 0.258.0.275,0.300. 0.325. 0.350, 0,375.0.400, 0.425, CAMS, 0.475,8,500,8.526,6.668.0.57S. 0.600,

0.626, 0,850,0.6577

BRCA-E1Qc
E1c
BRCA-5
QMS, QMS, SMS, 0,020, 0.025, 8.030,6.035.0.040. QMS. 0.050, 0.075, 0.100, 0.125, 8.150,0.175, 0.200,
32

0.225. 6 250, 8 275.0.300, 0.325, 0.350, 0.375, 0.408,0.42$, 0.480,0.475,0.500, 0.525.0.550. 0.575 0.5831

8RCA-E7c
El
BRCA-8
0.005. 0.010, SM5.0.020, 0.025, 0.0230, SMS, QMS, QMS, 0.990, 0.075, 0.18-0,0.12S. 0.150 3.178.3.2®.
39

QMS. 0.268,0.275.0.300, 0325,0.350, 8375, 0,400, 0,425, 0,450, 0,475, 8.500,0.5076

BRCA/ES
EB
BRCA-T
000 QMS.SMS, 0.020,0.025, 0.030, 0.835. QMQ. SMS>, 0,050, 0.075, 0,100, 8.125,0.158, 0.175,0.200,
36

0.225. 6250,0.275, 0,300, 0,325, 0.350,0.375, 0.408.0.425. 0.450,0.475.0.600. 0,525.8,5356

Table S2 (continued)

test set CRC
1279
1279,221015
ORQ-9
9,005,0.010, 0.015, 0.020, 0.025, 0.030, 0.036, 0.040, 0.045, 0.050. 0.075, 0.100, 0.125. 9.150, 0.176,0.200.
28

0.225, 0.250, 0.275, 0.300, 0.325,. 0.350. 0.375, 0.400, 0.425. 0,450, 0.475.0.500

1279
1279,241118
CRO-10
0,005, 0.010, 0.015, 0.020, 0.025. 0.030, 0.035, 0.040, 0.045, 0.050, 0.075, 0.100, 0.125, 0.150, 0.175, 0.200,
28

0.225, 0.250, 0.375,0.300, 0.325,0.350. 0.375,0,400, 0.425, 0,460, 0.475,0.490

512
512,051015
CRO-11
0.006, 0.010, 0.016, 0.020, 0,025, 0.030, 0.035, 0,040, 0.945, 0,050, 0.075,0.100, 0,125, 0,150. 0.1 75, 0,200,
33

0.225, 0.250. 0.275,0.300, 0.325. 0.350, 0.378. 0.400, 0.425, 0.-150.0.475, 0.500, 0.525. 0.550, 0.575,0.600,0.814

512
512 130114
CRC-12
0.005. 0,010, 0.01 5.0.020,0.025, 0030, 0.035,0.040, 0.045,0.050. 0.075, 0.100.0,125, 0.150,0,175.0.200,
24

0.225, 0.250, 0.275,0.300, 0.325,0.350, 0.375, 0.394

tests®!
019
019
BRCA-8
0.005, 0.010,0.015, 0.020,0.025, 0.030, 0.035,0.040, 0.045, 0,050, 0.075, 0.100,0.125, 0,150,0.175,0.200,
38 }

0.225, 0.250,0,275, am 0.325,0.350. am 0.400,0,425, 0.450,0.475, am 0.525,0,550, 0.575, 0,800,

0.825, 0,650, 0.575, 0.700, 0.725, 0.7:303

BRCA
E2
E2
BRCA9
0.005.0.010, 0.015.9.020.0.025, 0.030.0.635,0.040, 0.045. 0.050, 0.075.0.100. 0.125, 0.150.0.175.0.200,
25

0.225, 0,250. 0.275, 0.300, am 0.350, 0.375.0.400, 0.4122

Ekc
EB
BRCA-10
0.005, 0.010, 0.01 5,0.020, 0.025, 0.030, DM 0.040,0.045, 0.050, 0.076, 0.100, 0.125,0.150. 0.175, 0.200,
30

6.225,0.250. 0.275, am 0.325. am am am 0,425, am 0.475, am 0.525, 0.5386

TABLE S3

Information on all candidate features of nucleosome-depleted regions for colorectal cancer.

ID
Transcript
Gene
Chr
Site
Region
Group
FPKM_blood
FPKM_tumor

1
ENST00000003084.10
CFTR
7
117120017
promoter
tumor
0.00
30.20

2
ENST00000027335.7
CDH17
8
95220815
promoter
tumor
0.00
149.83

3
ENST00000161006.7
PRSS22
16
2908171
promoter
tumor
0.00
10.29

4
ENST00000162330.9
BCAR1
16
75285507
promoter
tumor
0.00
16.86

5
ENST00000201586.6
SULT2B1
19
49055332
promoter
tumor
0.03
16.67

6
ENST00000211314.4
TMEM14A
6
52535907
promoter
tumor
0.67
25.17

7
ENST00000215582.7
MISP
19
751126
promoter
tumor
0.00
116.54

8
ENST00000215743.7
MMP11
22
24115006
promoter
tumor
0.08
42.41

9
ENST00000216968.4
PROCR
20
33759876
promoter
tumor
0.36
28.48

10
ENST00000221992.10
CEACAM5
19
42212537
promoter
tumor
0.00
1235.90

11
ENST00000223271.7
RARRES2
7
150038763
promoter
tumor
0.41
46.30

12
ENST00000226230.7
TMEM97
17
26646121
promoter
tumor
0.39
20.84

13
ENST00000226760.5
WFS1
4
6271577
promoter
tumor
0.35
15.01

14
ENST00000227868.8
PDHX
11
34938119
promoter
tumor
0.99
13.52

15
ENST00000228916.6
SCNN1A
12
6484715
promoter
tumor
0.05
32.36

16
ENST00000230588.8
MEP1A
6
46761127
promoter
tumor
0.00
21.95

17
ENST00000232458.9
ECT2
3
172468472
promoter
tumor
0.28
12.07

18
ENST00000245451.8
BMP4
14
54423529
promoter
tumor
0.00
16.43

19
ENST00000245907.10
C3
19
6720693
promoter
tumor
0.37
15.08

20
ENST00000250405.9
BCL2L2
14
23775971
promoter
tumor
1.00
11.63

21
ENST00000254260.7
RHPN2
19
33555794
promoter
tumor
0.03
23.49

22
ENST00000255681.6
MACROD1
11
63933533
promoter
tumor
0.54
22.18

23
ENST00000256585.9
REG4
1
120354283
promoter
tumor
0.09
37.82

24
ENST00000256951.9
EMP1
12
13349650
promoter
tumor
0.39
14.17

25
ENST00000260227.4
MMP7
11
102401484
promoter
tumor
0.00
29.38

26
ENST00000261769.9
CDH1
16
68771128
promoter
tumor
0.00
123.30

27
ENST00000262429.8
ATP2C2
16
84402133
promoter
tumor
0.34
16.47

28
ENST00000262753.8
POF1B
X
84634748
promoter
tumor
0.02
40.41

29
ENST00000263629.8
MTIF2
2
55496384
promoter
tumor
0.85
13.76

30
ENST00000263735.8
EPCAM
2
47596287
promoter
tumor
0.11
594.54

31
ENST00000263895.8
RND3
2
151344208
promoter
tumor
0.00
10.29

32
ENST00000264144.4
LAMC2
1
183155423
promoter
tumor
0.01
31.46

33
ENST00000264748.6
FGFRL1
4
1006239
promoter
tumor
0.82
17.03

34
ENST00000266980.8
SLC39A5
12
56624436
promoter
tumor
0.00
20.87

35
ENST00000267101.7
ERBB3
12
56473645
promoter
tumor
0.00
40.98

36
ENST00000267814.13
SORD
15
45315302
promoter
tumor
0.93
13.70

37
ENST00000267996.11
TPM1
15
63334957
promoter
tumor
0.87
32.98

38
ENST00000269571.9
ERBB2
17
37856333
promoter
tumor
0.00
11.47

39
ENST00000270560.3
TM4SF5
17
4675187
promoter
tumor
0.00
18.39

40
ENST00000271064.11
TINAGL1
1
32042136
promoter
tumor
0.10
42.75

41
ENST00000278559.7
CAPN5
11
76777988
promoter
tumor
0.52
27.31

42
ENST00000278937.6
MPZL2
11
118134997
promoter
tumor
0.37
17.05

43
ENST00000288937.6
MRPL17
11
6704632
promoter
tumor
0.85
16.44

44
ENST00000290130.3
MIS18A
21
33651380
promoter
tumor
0.49
12.76

45
ENST00000290913.7
CHCHD6
3
126423063
promoter
tumor
0.65
15.07

46
ENST00000291525.11
TFF3
21
43735463
promoter
tumor
0.00
209.02

47
ENST00000292401.8
AZGP1
7
99573780
promoter
tumor
0.14
45.24

48
ENST00000292408.8
FGFR4
5
176513887
promoter
tumor
0.07
25.86

49
ENST00000295092.2
FAM84A
2
14772810
promoter
tumor
0.00
13.18

50
ENST00000296129.5
CDCP1
3
45187914
promoter
tumor
0.11
15.27

51
ENST00000296252.8
LIPH
3
185270401
promoter
tumor
0.03
12.23

52
ENST00000296424.8
BDH2
4
104021040
promoter
tumor
0.99
14.16

53
ENST00000296666.12
PRRC1
5
126853301
promoter
tumor
0.95
11.62

54
ENST00000297205.6
STEAP1
7
89783689
promoter
tumor
0.00
14.91

55
ENST00000299610.4
MFAP4
17
19290553
promoter
tumor
0.39
15.19

56
ENST00000299714.7
SEC11C
18
56807107
promoter
tumor
0.62
11.38

57
ENST00000300119.7
MYO1A
12
57443901
promoter
tumor
0.00
15.11

58
ENST00000300283.10
CKMT1B
15
43885252
promoter
tumor
0.00
35.88

59
ENST00000300557.2
PRR15L
17
46035244
promoter
tumor
0.03
96.21

60
ENST00000301395.7
GGT6
17
4463876
promoter
tumor
0.00
16.81

61
ENST00000301887.8
BATF2
11
64764517
promoter
tumor
0.43
11.12

62
ENST00000307078.9
AXIN2
17
63557765
promoter
tumor
0.09
14.10

63
ENST00000308302.3
GOLT1A
1
204183220
promoter
tumor
0.03
12.22

64
ENST00000308831.6
RHOD
11
66824289
promoter
tumor
0.07
10.41

65
ENST00000310398.6
AGR3
7
16921611
promoter
tumor
0.00
33.08

66
ENST00000310706.9
JUP
17
39942950
promoter
tumor
0.87
86.21

67
ENST00000310836.10
UGT8
4
115519611
promoter
tumor
0.04
14.08

68
ENST00000311160.13
TNS3
7
47621742
promoter
tumor
0.68
16.18

69
ENST00000311381.7
C6orf203
6
107349417
promoter
tumor
0.93
14.55

70
ENST00000311620.6
ANKS4B
16
21244986
promoter
tumor
0.00
10.61

71
ENST00000316673.8
HNF4A
20
42984340
promoter
tumor
0.00
10.78

72
ENST00000317508.10
PRSS8
16
31147083
promoter
tumor
0.11
143.22

73
ENST00000318024.8
USH1C
11
17565963
promoter
tumor
0.00
46.62

74
ENST00000318407.4
BOK
2
242498136
promoter
tumor
0.57
13.75

75
ENST00000318443.9
CD276
15
73976554
promoter
tumor
0.00
11.45

76
ENST00000318683.6
B3GNT3
19
17905919
promoter
tumor
0.00
57.75

77
ENST00000319838.9
GPR35
2
241544848
promoter
tumor
0.31
30.59

78
ENST00000322536.7
DDX10
11
108535752
promoter
tumor
0.75
10.84

79
ENST00000324038.6
FAM101A
12
124773710
promoter
tumor
0.00
10.08

80
ENST00000325307.11
HMGB3
X
150151759
promoter
tumor
0.30
14.09

81
ENST00000325568.9
IL32
16
3115298
promoter
tumor
0.93
14.52

82
ENST00000326587.11
MAGED1
X
51636698
promoter
tumor
0.60
16.14

83
ENST00000329875.12
PYCR1
17
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promoter
tumor
0.12
36.33

84
ENST00000331243.4
FAM84A
2
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promoter
tumor
0.01
33.07

85
ENST00000331595.8
BGN
X
152760397
promoter
tumor
0.60
74.92

86
ENST00000332149.9
TMPRSS2
21
42880086
promoter
tumor
0.02
43.57

87
ENST00000333090.4
TSKU
11
76494283
promoter
tumor
0.00
17.21

88
ENST00000334047.11
F3
1
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promoter
tumor
0.08
13.07

89
ENST00000334869.8
LGMN
14
93215047
promoter
tumor
0.94
45.73

90
ENST00000337682.8
FAM60A
12
31479306
promoter
tumor
0.97
25.73

91
ENST00000338660.5
VWA1
1
1370903
promoter
tumor
0.06
21.82

92
ENST00000339276.5
SFN
1
27189629
promoter
tumor
0.60
113.82

93
ENST00000340556.10
MORN2
2
39103103
promoter
tumor
0.33
11.41

94
ENST00000344616.3
S100A14
1
153588808
promoter
tumor
0.00
143.55

95
ENST00000350051.7
BIRC5
17
76210279
promoter
tumor
0.63
18.32

96
ENST00000352551.9
UBE2C
20
44441313
promoter
tumor
0.00
10.99

97
ENST00000354624.5
HKDC1
10
70980059
promoter
tumor
0.14
20.07

98
ENST00000354900.7
LSR
19
35739675
promoter
tumor
0.75
31.22

99
ENST00000355097.6
ENTPD2
9
139948497
promoter
tumor
0.03
10.14

100
ENST00000355808.9
PDHA1
X
19362068
promoter
tumor
0.25
16.21

101
ENST00000355899.7
PLS3
X
114795509
promoter
tumor
0.00
12.05

102
ENST00000356509.7
GMNN
6
24775159
promoter
tumor
0.57
11.97

103
ENST00000356762.7
CRB3
19
6464294
promoter
tumor
0.00
12.29

104
ENST00000357166.10
ZDHHC9
X
128977860
promoter
tumor
0.29
20.11

105
ENST00000357602.7
IPO5
13
98612503
promoter
tumor
0.80
15.40

106
ENST00000358278.7
TPM1
15
63334884
promoter
tumor
0.43
69.53

107
ENST00000358432.7
EPHA2
1
16482582
promoter
tumor
0.03
23.85

108
ENST00000358813.4
CCL20
2
228678570
promoter
tumor
0.00
33.26

109
ENST00000358867.10
TMEM126B
11
85339629
promoter
tumor
0.47
17.68

110
ENST00000360325.11
CLDN7
17
7165797
promoter
tumor
0.09
133.65

111
ENST00000360605.8
URI1
19
30414551
promoter
tumor
0.44
12.86

112
ENST00000360760.9
SPATS2L
2
201171247
promoter
tumor
0.73
32.04

113
ENST00000360779.3
SDCBP2
20
1309883
promoter
tumor
0.00
17.84

114
ENST00000360798.7
LSR
19
35739668
promoter
tumor
0.30
55.63

115
ENST00000361084.9
RAB25
1
156030951
promoter
tumor
0.07
131.50

116
ENST00000361852.8
EPS8L3
1
110306546
promoter
tumor
0.00
26.64

117
ENST00000361901.6
CALD1
7
134464429
promoter
tumor
0.42
33.93

118
ENST00000366787.7
THBS2
6
169654139
promoter
tumor
0.07
14.23

119
ENST00000366999.8
NEK2
1
211848960
promoter
tumor
0.16
11.93

120
ENST00000367274.8
UBE2T
1
202311108
promoter
tumor
0.63
29.13

121
ENST00000367283.7
ELF3
1
201979715
promoter
tumor
0.07
135.46

122
ENST00000367284.9
ELF3
1
201979645
promoter
tumor
0.02
50.55

123
ENST00000367313.4
LAD1
1
201368676
promoter
tumor
0.05
100.09

124
ENST00000367976.3
CTGF
6
132272513
promoter
tumor
0.32
44.18

125
ENST00000368408.3
EFNA3
1
155051348
promoter
tumor
0.36
18.08

126
ENST00000368554.8
PRAP1
10
135122914
promoter
tumor
0.00
32.41

127
ENST00000369406.7
HMGCS2
1
120311517
promoter
tumor
0.00
17.63

128
ENST00000370481.8
GBP3
1
89488565
promoter
tumor
0.66
12.56

129
ENST00000370828.3
GPC4
X
132549518
promoter
tumor
0.03
13.27

130
ENST00000371221.3
ALDH18A1
10
97416463
promoter
tumor
0.04
29.55

131
ENST00000372486.5
NTMT1
9
132371163
promoter
tumor
0.00
14.12

132
ENST00000372966.7
NOX1
X
100129334
promoter
tumor
0.00
48.52

133
ENST00000373255.8
H2AFY2
10
71812552
promoter
tumor
0.42
12.60

134
ENST00000373290.6
TSPAN15
10
71211229
promoter
tumor
0.30
60.96

135
ENST00000373669.6
PIN4
X
71401529
promoter
tumor
0.87
13.81

136
ENST00000373699.5
PPIL1
6
36842800
promoter
tumor
0.85
17.26

137
ENST00000373944.7
ZWINT
10
58121036
promoter
tumor
0.38
16.27

138
ENST00000374183.4
BSPRY
9
116111821
promoter
tumor
0.22
15.59

139
ENST00000374214.3
UQCC2
6
33679504
promoter
tumor
1.00
17.77

140
ENST00000374837.7
MAP1LC3A
20
33134658
promoter
tumor
0.87
16.45

141
ENST00000375431.8
GRTP1
13
114018441
promoter
tumor
0.05
18.16

142
ENST00000376569.7
DDR1
6
30851846
promoter
tumor
0.08
11.00

143
ENST00000376652.8
ENTPD6
20
25176356
promoter
tumor
0.44
14.06

144
ENST00000378115.2
ARHGEF35
7
143892748
promoter
tumor
0.10
13.16

145
ENST00000378378.8
ARHGEF16
1
3370990
promoter
tumor
0.00
12.12

146
ENST00000378427.5
FAM213B
1
2518237
promoter
tumor
0.59
12.06

147
ENST00000379046.6
NQO1
16
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promoter
tumor
0.07
39.35

148
ENST00000379047.7
NQO1
16
69760571
promoter
tumor
0.09
34.23

149
ENST00000379715.9
EEF1E1
6
8102811
promoter
tumor
0.59
17.82

150
ENST00000379742.4
POSTN
13
38172895
promoter
tumor
0.01
11.69

151
ENST00000379805.3
PDHA1
X
19362086
promoter
tumor
0.76
11.58

152
ENST00000379923.5
ACO1
9
32384618
promoter
tumor
0.81
16.28

153
ENST00000380071.7
RFC3
13
34392186
promoter
tumor
0.48
15.11

154
ENST00000381134.7
ARSE
X
2882311
promoter
tumor
0.00
24.51

155
ENST00000382848.4
GJB2
13
20767037
promoter
tumor
0.09
18.88

156
ENST00000389614.5
GPX2
14
65409531
promoter
tumor
0.10
652.10

157
ENST00000391967.6
LAD1
1
201368736
promoter
tumor
0.00
16.64

158
ENST00000393316.7
BCL2L15
1
114430169
promoter
tumor
0.11
11.11

159
ENST00000393366.6
ATP5G1
17
46970179
promoter
tumor
0.63
40.08

160
ENST00000393725.6
KIAA1191
5
175788768
promoter
tumor
0.75
11.70

161
ENST00000394201.8
SCOC
4
141294797
promoter
tumor
0.53
14.61

162
ENST00000394265.5
PPP1R1B
17
37784751
promoter
tumor
0.00
81.30

163
ENST00000395641.2
NUPR1
16
28550329
promoter
tumor
0.45
37.05

164
ENST00000397542.6
CDHR5
11
625067
promoter
tumor
0.02
18.38

165
ENST00000397714.6
SEPTIN10
2
110371504
promoter
tumor
0.14
14.96

166
ENST00000397995.2
RNASE4
14
21152742
promoter
tumor
0.56
10.20

167
ENST00000398599.8
CEACAM5
19
42212504
promoter
tumor
0.00
74.52

168
ENST00000401412.5
AGR2
7
16844611
promoter
tumor
0.00
103.38

169
ENST00000403444.7
CEACAM1
19
43032630
promoter
tumor
0.00
33.67

170
ENST00000405271.5
EPCAM
2
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promoter
tumor
0.00
20.99

171
ENST00000405816.5
CEACAM5
19
42212568
promoter
tumor
0.00
10.92

172
ENST00000409189.7
CCL20
2
228678558
promoter
tumor
0.00
20.73

173
ENST00000410036.2
MZT2A
2
132250316
promoter
tumor
0.00
12.64

174
ENST00000416348.1
ADIRF
10
88728189
promoter
tumor
0.00
22.43

175
ENST00000419304.6
AGR2
7
16844704
promoter
tumor
0.00
257.72

176
ENST00000419308.6
FOXA2
20
22565101
promoter
tumor
0.00
13.51

177
ENST00000420892.1
HTRA1
10
124266207
promoter
tumor
0.98
24.46

178
ENST00000423485.5
TOP2A
17
38574202
promoter
tumor
0.44
31.06

179
ENST00000425042.6
HID1
17
72968829
promoter
tumor
0.23
13.99

180
ENST00000425340.2
FUT2
19
49199232
promoter
tumor
0.02
13.10

181
ENST00000427250.5
LSR
19
35739905
promoter
tumor
0.00
13.66

182
ENST00000428445.1
VARS
6
31750366
promoter
tumor
0.78
10.22

183
ENST00000428849.6
KIFC1
6
33359313
promoter
tumor
0.60
17.24

184
ENST00000429772.6
TMEM106C
12
48357403
promoter
tumor
0.70
34.02

185
ENST00000430118.1
HMGB3
X
150154004
promoter
tumor
0.52
12.82

186
ENST00000433307.2
PLEKHA1
10
124152644
promoter
tumor
0.98
13.38

187
ENST00000439109.6
NQO1
16
69760463
promoter
tumor
0.00
10.97

188
ENST00000440815.7
IL32
16
3115370
promoter
tumor
0.34
22.19

189
ENST00000441275.5
BDH1
3
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promoter
tumor
0.87
17.80

190
ENST00000444124.6
DDC
7
50633154
promoter
tumor
0.00
21.66

191
ENST00000446188.1
ELF3
1
201979772
promoter
tumor
0.00
13.93

192
ENST00000448599.2
PHGR1
15
40643234
promoter
tumor
0.00
289.14

193
ENST00000450427.1
PRR15
7
29605066
promoter
tumor
0.00
10.59

194
ENST00000450894.7
ITGB4
17
73717577
promoter
tumor
0.14
50.86

195
ENST00000452441.5
DDR1
6
30852327
promoter
tumor
0.07
51.62

196
ENST00000455712.5
POLR2H
3
184080403
promoter
tumor
0.94
11.92

197
ENST00000463201.2
PRAP1
10
135164879
promoter
tumor
0.00
54.46

198
ENST00000467415.5
TMEM14C
6
10723358
promoter
tumor
0.69
26.73

199
ENST00000467905.5
AK2
1
33502487
promoter
tumor
0.00
11.87

200
ENST00000469862.1
CENPF
1
214828491
promoter
tumor
0.39
10.26

201
ENST00000472782.1
ATP5G3
2
176046423
promoter
tumor
0.62
10.87

202
ENST00000473336.5
RAB25
1
156031174
promoter
tumor
0.00
17.65

203
ENST00000476587.1
NDUFB5
3
179334763
promoter
tumor
0.89
14.92

204
ENST00000478194.1
FERMT1
20
6074819
promoter
tumor
0.00
27.00

205
ENST00000478869.1
WDR12
2
203765843
promoter
tumor
0.71
14.50

206
ENST00000479419.1
IFT172
2
27669072
promoter
tumor
0.00
37.10

207
ENST00000484713.1
LAMB2
3
49159029
promoter
tumor
0.41
13.87

208
ENST00000489477.1
NDUFAF4
6
97345750
promoter
tumor
0.66
10.30

209
ENST00000489523.5
AGR2
7
16844623
promoter
tumor
0.00
64.63

210
ENST00000490807.5
NTPCR
1
233086360
promoter
tumor
0.77
10.54

211
ENST00000494163.1
IFT172
2
27669063
promoter
tumor
0.00
11.52

212
ENST00000494446.1
FN1
2
216230399
promoter
tumor
0.79
52.10

213
ENST00000494801.5
TCEAL4
X
102840491
promoter
tumor
0.60
13.59

214
ENST00000495558.1
VWA1
1
1370241
promoter
tumor
0.00
13.92

215
ENST00000495848.1
ELF3
1
201979722
promoter
tumor
0.00
17.88

216
ENST00000496195.1
GLRX3
10
131977638
promoter
tumor
0.98
10.30

217
ENST00000497734.5
SRC
20
35973088
promoter
tumor
0.00
12.44

218
ENST00000507614.1
TIMM8B
11
111957446
promoter
tumor
0.80
10.54

219
ENST00000507699.1
PALLD
4
169819128
promoter
tumor
0.31
14.56

220
ENST00000514985.5
SEPP1
5
42812181
promoter
tumor
0.59
49.95

221
ENST00000520271.5
COX6C
8
100905850
promoter
tumor
0.51
12.86

222
ENST00000523677.5
C1orf210
1
43751250
promoter
tumor
0.00
13.49

223
ENST00000524832.5
CHID1
11
902322
promoter
tumor
0.42
10.82

224
ENST00000525657.1
C1QTNF5
11
119211508
promoter
tumor
0.05
17.27

225
ENST00000526202.5
LMO7
13
76334795
promoter
tumor
0.09
23.11

226
ENST00000527020.5
USH1C
11
17565947
promoter
tumor
0.00
10.90

227
ENST00000527106.5
FUT6
19
5838771
promoter
tumor
0.00
13.22

228
ENST00000528430.2
PPP1R16A
8
145726472
promoter
tumor
0.92
22.33

229
ENST00000530094.5
CTNND1
11
57529269
promoter
tumor
0.00
26.61

230
ENST00000532203.1
MRPL17
11
6704547
promoter
tumor
0.65
21.73

231
ENST00000533827.5
VPS51
11
64876763
promoter
tumor
0.00
12.01

232
ENST00000534378.5
ILVBL
19
15236533
promoter
tumor
0.64
11.41

233
ENST00000537496.5
MMAB
12
110011308
promoter
tumor
0.93
12.43

234
ENST00000541754.1
NNMT
11
114168085
promoter
tumor
0.72
23.55

235
ENST00000542056.1
GPRC5A
12
13044513
promoter
tumor
0.00
23.91

236
ENST00000543445.5
LDHA
11
18416107
promoter
tumor
0.00
71.47

237
ENST00000543623.5
PLCD3
17
43192496
promoter
tumor
0.27
14.58

238
ENST00000544913.2
HMGCS2
1
120311528
promoter
tumor
0.03
21.61

239
ENST00000546314.5
STARD10
11
72493404
promoter
tumor
0.00
31.66

240
ENST00000546485.5
RPL41
12
56510416
promoter
tumor
0.75
48.15

241
ENST00000547281.5
CDK4
12
58146059
promoter
tumor
0.83
30.31

242
ENST00000547838.2
FAM109A
12
111801553
promoter
tumor
0.94
11.49

243
ENST00000548169.2
ATP2A2
12
110729854
promoter
tumor
0.34
13.63

244
ENST00000552128.2
TSPAN8
12
71533055
promoter
tumor
0.00
15.81

245
ENST00000552561.5
TMEM106C
12
48357388
promoter
tumor
0.38
17.25

246
ENST00000553237.5
CDK4
12
58146109
promoter
tumor
0.06
16.39

247
ENST00000554989.1
CKB
14
103987659
promoter
tumor
0.75
83.82

248
ENST00000557049.1
GPX2
14
65409438
promoter
tumor
0.00
18.28

249
ENST00000558580.1
SORD
15
45328434
promoter
tumor
0.95
15.73

250
ENST00000561504.1
ADIRF
10
88728247
promoter
tumor
0.75
46.05

251
ENST00000562684.5
HN1L
16
1728278
promoter
tumor
0.25
19.21

252
ENST00000581920.1
TYMS
18
667721
promoter
tumor
0.88
11.79

253
ENST00000583327.2
ITGB4
17
73747894
promoter
tumor
0.12
32.84

254
ENST00000586005.5
SMIM22
16
4845422
promoter
tumor
0.00
103.03

255
ENST00000587251.5
LGALS3BP
17
76976005
promoter
tumor
0.00
48.36

256
ENST00000588605.5
C19orf33
19
38794804
promoter
tumor
0.22
18.46

257
ENST00000588606.5
SMIM22
16
4845379
promoter
tumor
0.00
148.57

258
ENST00000589378.5
TJP3
19
3721735
promoter
tumor
0.13
11.74

259
ENST00000591778.5
LGALS3BP
17
76976000
promoter
tumor
0.21
30.24

260
ENST00000591795.1
DENND1C
19
6469662
promoter
tumor
0.56
11.26

261
ENST00000594443.5
FBL
19
40337010
promoter
tumor
0.00
19.57

262
ENST00000594605.5
STAP2
19
4338874
promoter
tumor
0.06
27.33

263
ENST00000595110.1
FAM83E
19
49118098
promoter
tumor
0.00
13.13

264
ENST00000597153.5
LGALS4
19
39303585
promoter
tumor
0.00
20.51

265
ENST00000600229.5
CRB3
19
6464290
promoter
tumor
0.08
20.31

266
ENST00000600324.5
STAP2
19
4338818
promoter
tumor
0.02
13.85

267
ENST00000601623.5
LSR
19
35740250
promoter
tumor
0.21
24.39

268
ENST00000605618.5
LSR
19
35739922
promoter
tumor
0.22
31.85

269
ENST00000610552.4
SLC2A8
9
130159417
promoter
tumor
0.65
11.38

270
ENST00000612794.1
GPX2
14
65409623
promoter
tumor
0.00
23.73

271
ENST00000612809.4
C8orf59
8
86132604
promoter
tumor
0.94
54.53

272
ENST00000616154.1
CDX1
5
149546453
promoter
tumor
0.00
138.07

273
ENST00000616727.4
MUC13
3
124653595
promoter
tumor
0.01
221.05

274
ENST00000618855.4
TMPRSS4
11
117947727
promoter
tumor
0.00
10.45

275
ENST00000619895.4
TMC4
19
54676865
promoter
tumor
0.35
33.05

276
ENST00000620753.4
EI24
11
125439354
promoter
tumor
0.63
12.17

277
ENST00000008938.4
PGLYRP1
19
46526323
promoter
blood
148.76
0.05

278
ENST00000199708.2
HBQ1
16
230452
promoter
blood
45.79
0.00

279
ENST00000216338.8
GZMH
14
25078864
promoter
blood
15.58
0.99

280
ENST00000221515.5
RETN
19
7733930
promoter
blood
72.49
0.19

281
ENST00000221954.6
CEACAM4
19
42133442
promoter
blood
32.81
0.13

282
ENST00000225538.3
P2RX1
17
3819794
promoter
blood
15.55
0.30

283
ENST00000232014.8
BCL6
3
187454357
promoter
blood
19.07
0.18

284
ENST00000234347.9
PRTN3
19
840960
promoter
blood
13.78
0.00

285
ENST00000236826.7
MMP8
11
102595685
promoter
blood
20.68
0.04

286
ENST00000244709.8
TREM1
6
41254457
promoter
blood
67.12
0.63

287
ENST00000246115.4
S1PR4
19
3178766
promoter
blood
127.44
0.94

288
ENST00000246549.2
FFAR2
19
35940617
promoter
blood
58.85
0.34

289
ENST00000246657.2
CCR7
17
38721724
promoter
blood
11.89
0.75

290
ENST00000259396.8
ORM1
9
117085336
promoter
blood
34.89
0.14

291
ENST00000262407.5
ITGA2B
17
42466873
promoter
blood
12.34
0.04

292
ENST00000264972.9
ZAP70
2
98330023
promoter
blood
15.69
0.72

293
ENST00000279452.10
CD44
11
35198175
promoter
blood
10.76
0.00

294
ENST00000281703.10
GLT1D1
12
129338081
promoter
blood
22.75
0.02

295
ENST00000290075.10
SLC25A37
8
23386469
promoter
blood
45.08
0.87

296
ENST00000292432.9
HK3
5
176326333
promoter
blood
98.07
0.60

297
ENST00000295683.2
CXCR1
2
219031718
promoter
blood
355.57
0.18

298
ENST00000296435.2
CAMP
3
48264837
promoter
blood
27.17
0.06

299
ENST00000296487.8
PPM1M
3
52280186
promoter
blood
13.09
0.41

300
ENST00000297239.10
SYTL3
6
159082351
promoter
blood
10.79
0.54

301
ENST00000299663.7
CLEC4E
12
8693559
promoter
blood
29.27
0.20

302
ENST00000302017.3
ZNF467
7
149470568
promoter
blood
25.10
0.54

303
ENST00000303531.11
PRKCB
16
23847345
promoter
blood
16.08
0.36

304
ENST00000303757.12
LST1
6
31554977
promoter
blood
11.09
0.23

305
ENST00000307564.8
AKNA
9
117156685
promoter
blood
11.95
0.38

306
ENST00000310544.8
PHOSPHO1
17
47307890
promoter
blood
30.92
0.08

307
ENST00000318507.6
CXCR2
2
218990727
promoter
blood
157.27
0.28

308
ENST00000326165.10
CD300LF
17
72709117
promoter
blood
18.99
0.70

309
ENST00000328118.7
FMNL1
17
43299444
promoter
blood
11.80
0.41

310
ENST00000329021.9
NFAM1
22
42828401
promoter
blood
43.63
0.94

311
ENST00000329410.3
C16orf54
16
29757327
promoter
blood
24.31
0.49

312
ENST00000332549.7
IL1R2
2
102608306
promoter
blood
112.29
0.55

313
ENST00000334475.10
TREM1
6
41254420
promoter
blood
11.13
0.19

314
ENST00000336577.8
MMP25
16
3096682
promoter
blood
194.37
0.54

315
ENST00000336906.4
HBG2
11
5276041
promoter
blood
104.85
0.00

316
ENST00000338372.6
VSTM1
19
54567207
promoter
blood
10.71
0.00

317
ENST00000342571.7
MKNK1
1
47051643
promoter
blood
14.42
0.02

318
ENST00000343534.9
C1orf162
1
112016414
promoter
blood
37.68
0.74

319
ENST00000346667.8
IKZF1
7
50344378
promoter
blood
11.73
0.24

320
ENST00000352818.8
CD44
11
35160851
promoter
blood
14.11
0.00

321
ENST00000354352.9
SLC11A1
2
219246971
promoter
blood
111.80
0.63

322
ENST00000355524.7
FCAR
19
55385736
promoter
blood
53.04
0.07

323
ENST00000356815.3
HBM
16
215977
promoter
blood
163.82
0.00

324
ENST00000356838.7
TMEM71
8
133772828
promoter
blood
16.78
0.36

325
ENST00000356864.3
TNFRSF10C
8
22960103
promoter
blood
108.86
0.56

326
ENST00000357198.8
DOK3
5
176936858
promoter
blood
66.68
0.74

327
ENST00000357260.5
FAM212B
1
112282046
promoter
blood
12.23
0.67

328
ENST00000358375.8
OSCAR
19
54604129
promoter
blood
18.93
0.28

329
ENST00000367025.7
TRAF3IP3
1
209929394
promoter
blood
17.52
0.64

330
ENST00000367053.5
CR1
1
207669502
promoter
blood
10.47
0.02

331
ENST00000367535.7
NCF2
1
183559716
promoter
blood
75.23
0.98

332
ENST00000367568.4
STX11
6
144471663
promoter
blood
24.42
0.79

333
ENST00000367972.8
FCGR2A
1
161475220
promoter
blood
27.69
0.40

334
ENST00000368015.1
ARHGAP30
1
161039760
promoter
blood
20.61
0.58

335
ENST00000368732.5
S100A8
1
153363452
promoter
blood
53.91
0.00

336
ENST00000368737.4
S100A12
1
153348125
promoter
blood
1099.02
0.31

337
ENST00000371806.3
FCN1
9
137809809
promoter
blood
379.64
0.88

338
ENST00000373103.5
CSF3R
1
36948879
promoter
blood
61.20
0.04

339
ENST00000373925.5
THEMIS2
1
28199055
promoter
blood
12.15
0.53

340
ENST00000374005.7
FGR
1
27961788
promoter
blood
32.42
0.29

341
ENST00000374163.5
RPS6KA1
1
26872333
promoter
blood
17.41
0.87

342
ENST00000375448.4
PADI4
1
17634692
promoter
blood
95.04
0.03

343
ENST00000375862.6
HCK
20
30640000
promoter
blood
20.11
0.09

344
ENST00000376670.7
GATA1
X
48644962
promoter
blood
11.17
0.01

345
ENST00000377497.7
RASGRP2
11
64512306
promoter
blood
48.02
0.55

346
ENST00000378023.8
FAM65B
6
24877583
promoter
blood
15.67
0.00

347
ENST00000379400.7
RASSF2
20
4804291
promoter
blood
13.75
0.82

348
ENST00000380299.3
HBD
11
5255878
promoter
blood
138.84
0.07

349
ENST00000381112.7
CCM2
7
45067233
promoter
blood
17.78
0.00

350
ENST00000381153.7
C11orf21
11
2323290
promoter
blood
11.33
0.09

351
ENST00000381603.7
SIRPB1
20
1600642
promoter
blood
26.01
0.00

352
ENST00000381605.8
SIRPB1
20
1600655
promoter
blood
24.72
0.12

353
ENST00000391750.5
LILRB3
19
54727378
promoter
blood
65.61
0.41

354
ENST00000391761.5
OSCAR
19
54604083
promoter
blood
35.99
0.46

355
ENST00000393450.5
MYL4
17
45286714
promoter
blood
22.77
0.00

356
ENST00000393847.5
DPEP2
16
68033356
promoter
blood
24.04
0.44

357
ENST00000394991.7
SNCA
4
90758379
promoter
blood
32.19
0.35

358
ENST00000397147.6
NCF4
22
37257030
promoter
blood
154.32
0.92

359
ENST00000398421.6
NCF1
7
74188358
promoter
blood
11.04
0.04

360
ENST00000399173.5
FGR
1
27952751
promoter
blood
101.05
0.26

361
ENST00000399753.2
MSRB1
16
1993196
promoter
blood
11.22
0.15

362
ENST00000409220.5
ARHGAP25
2
69001933
promoter
blood
23.89
0.31

363
ENST00000409930.3
IL1RN
2
113885138
promoter
blood
21.18
0.85

364
ENST00000413580.5
PHOSPHO1
17
47308128
promoter
blood
42.76
0.05

365
ENST00000416215.6
PTPN6
12
7060519
promoter
blood
12.72
0.88

366
ENST00000418089.5
NCF2
1
183559739
promoter
blood
12.55
0.12

367
ENST00000419510.6
BCL6
3
187454876
promoter
blood
45.28
0.23

368
ENST00000422400.6
VNN2
6
133079022
promoter
blood
14.59
0.10

369
ENST00000423345.4
PRAM1
19
8567996
promoter
blood
25.32
0.30

370
ENST00000425428.6
CD44
11
35160729
promoter
blood
17.51
0.00

371
ENST00000433194.6
CDK5RAP2
9
123165730
promoter
blood
22.55
0.52

372
ENST00000434472.6
CD44
11
35160840
promoter
blood
11.65
0.58

373
ENST00000441002.1
IL1R2
2
102624977
promoter
blood
16.30
0.00

374
ENST00000442111.6
GLT1D1
12
129338039
promoter
blood
20.30
0.01

375
ENST00000445347.1
LILRB3
19
54726959
promoter
blood
49.26
0.10

376
ENST00000445961.5
RPS9
19
54704740
promoter
blood
14.72
0.89

377
ENST00000447110.5
PIK3R5
17
8869029
promoter
blood
12.89
0.29

378
ENST00000449131.6
BEST1
11
61717842
promoter
blood
13.35
0.54

379
ENST00000454703.6
ACSL1
4
185747273
promoter
blood
35.07
0.78

380
ENST00000460442.5
ZDHHC19
3
195925781
promoter
blood
22.43
0.04

381
ENST00000464431.1
ABTB1
3
127394329
promoter
blood
20.22
0.70

382
ENST00000464465.6
CSF3R
1
36937075
promoter
blood
259.11
0.50

383
ENST00000465814.5
ARAP1
11
72433133
promoter
blood
10.09
0.58

384
ENST00000465984.5
SLC11A1
2
219246911
promoter
blood
10.54
0.03

385
ENST00000467786.1
FGD3
9
95737532
promoter
blood
43.15
0.29

386
ENST00000474085.5
IL1R2
2
102638525
promoter
blood
24.35
0.04

387
ENST00000475225.5
SLC11A1
2
219247025
promoter
blood
37.49
0.19

388
ENST00000475226.1
HBB
11
5248053
promoter
blood
2709.48
0.00

389
ENST00000475472.5
FGR
1
27961645
promoter
blood
49.95
0.18

390
ENST00000477801.1
S100A8
1
153363547
promoter
blood
161.47
0.07

391
ENST00000480395.5
TRIM22
11
5717722
promoter
blood
17.36
0.70

392
ENST00000481568.2
C10orf54
10
73521701
promoter
blood
31.27
0.90

393
ENST00000483750.5
WAS
X
48542217
promoter
blood
34.49
0.17

394
ENST00000484747.5
ZNF467
7
149470308
promoter
blood
14.36
0.44

395
ENST00000485743.1
HBB
11
5248302
promoter
blood
128.52
0.00

396
ENST00000485928.5
PHC2
1
33815412
promoter
blood
11.05
0.73

397
ENST00000486097.1
NCF1
7
74197786
promoter
blood
12.51
0.06

398
ENST00000487540.6
CSF3R
1
36937988
promoter
blood
47.30
0.17

399
ENST00000488171.5
CD55
1
207495032
promoter
blood
25.43
0.43

400
ENST00000488945.5
GNLY
2
85912298
promoter
blood
11.68
0.09

401
ENST00000489358.5
NAMPT
7
105925396
promoter
blood
30.07
0.00

402
ENST00000489551.5
CSF3R
1
36948535
promoter
blood
106.01
0.10

403
ENST00000491955.5
MPP1
X
154011509
promoter
blood
10.84
0.42

404
ENST00000492413.5
SLC11A1
2
219247010
promoter
blood
17.89
0.00

405
ENST00000493242.1
LILRB2
19
54784952
promoter
blood
22.65
0.13

406
ENST00000494185.1
LMNB1
5
126147405
promoter
blood
10.53
0.00

407
ENST00000496823.1
BCL6
3
187463247
promoter
blood
21.33
0.20

408
ENST00000497259.5
ARHGAP25
2
69034363
promoter
blood
25.49
0.72

409
ENST00000497920.1
ARID5A
2
97213127
promoter
blood
11.90
0.30

410
ENST00000509314.5
FBXL5
4
15661487
promoter
blood
10.24
0.00

411
ENST00000509339.1
MXD3
5
176735063
promoter
blood
30.07
0.08

412
ENST00000510784.6
FAM65B
6
25042396
promoter
blood
61.47
0.19

413
ENST00000513001.5
ACSL1
4
185680030
promoter
blood
17.65
0.10

414
ENST00000517558.1
TNFRSF10C
8
22960434
promoter
blood
45.94
0.13

415
ENST00000519192.1
SLC25A37
8
23386488
promoter
blood
357.35
0.55

416
ENST00000520174.5
DMTN
8
21914416
promoter
blood
16.02
0.00

417
ENST00000520553.5
HCK
20
30640045
promoter
blood
87.74
0.73

418
ENST00000520654.1
SLC25A37
8
23386566
promoter
blood
18.30
0.77

419
ENST00000523022.5
CA1
8
86290342
promoter
blood
40.92
0.11

420
ENST00000523829.5
TMEM71
8
133772807
promoter
blood
11.05
0.22

421
ENST00000525270.5
VNN2
6
133084586
promoter
blood
38.37
0.12

422
ENST00000526980.5
CSF3R
1
36948500
promoter
blood
184.80
0.10

423
ENST00000527146.1
IFITM2
11
308320
promoter
blood
18.56
0.63

424
ENST00000528780.5
IFITM1
11
313506
promoter
blood
47.88
0.31

425
ENST00000529635.5
TBC1D10C
11
67171600
promoter
blood
16.89
0.34

426
ENST00000533968.1
SPI1
11
47400038
promoter
blood
12.90
0.22

427
ENST00000534862.5
HCK
20
30639991
promoter
blood
16.31
0.23

428
ENST00000535669.6
CD37
19
49838684
promoter
blood
33.70
0.19

429
ENST00000539932.5
SLC11A1
2
219246926
promoter
blood
50.32
0.02

430
ENST00000540998.5
CDC42SE1
1
151032125
promoter
blood
10.52
0.00

431
ENST00000542481.1
ATG16L2
11
72534940
promoter
blood
25.18
0.37

432
ENST00000542590.1
TBC1D10C
11
67171660
promoter
blood
43.95
0.92

433
ENST00000543576.5
DENND1C
19
6481798
promoter
blood
12.06
0.00

434
ENST00000544232.5
TMEM91
19
41882645
promoter
blood
12.57
0.20

435
ENST00000544665.7
ITGAM
16
31271315
promoter
blood
56.38
0.99

436
ENST00000546704.1
ARHGAP9
12
57868923
promoter
blood
19.20
0.13

437
ENST00000550399.5
ARHGAP9
12
57868717
promoter
blood
14.44
0.45

438
ENST00000552370.5
TMBIM6
12
50144403
promoter
blood
26.69
0.00

439
ENST00000553070.5
NFE2
12
54694799
promoter
blood
23.61
0.00

440
ENST00000558012.5
PSTPIP1
15
77287426
promoter
blood
26.47
0.31

441
ENST00000559750.5
PSTPIP1
15
77287513
promoter
blood
16.39
0.12

442
ENST00000564662.1
COTL1
16
84651681
promoter
blood
10.13
0.81

443
ENST00000564905.1
XPO6
16
28145246
promoter
blood
12.98
0.47

444
ENST00000568763.1
CORO1A
16
30194926
promoter
blood
45.17
0.63

445
ENST00000570106.6
SIGLEC5
19
52133588
promoter
blood
40.53
0.18

446
ENST00000572782.1
ARRB2
17
4617846
promoter
blood
16.63
0.33

447
ENST00000576628.1
ACAP1
17
7239916
promoter
blood
20.20
0.18

448
ENST00000577894.1
EVI2B
17
29641123
promoter
blood
14.34
0.00

449
ENST00000578067.5
LIMD2
17
61777468
promoter
blood
10.86
0.22

450
ENST00000578402.5
LIMD2
17
61778045
promoter
blood
31.49
0.77

451
ENST00000585901.6
TYROBP
19
36399149
promoter
blood
13.40
0.19

452
ENST00000586946.1
TYROBP
19
36399197
promoter
blood
23.56
0.61

453
ENST00000587259.5
VMP1
17
57807076
promoter
blood
10.58
0.05

454
ENST00000587856.1
FMNL1
17
43311251
promoter
blood
22.20
0.28

455
ENST00000588673.3
OAZ1
19
2270290
promoter
blood
24.28
0.69

456
ENST00000589614.5
TREM1
6
41254403
promoter
blood
31.20
0.54

457
ENST00000589900.5
ICAM3
19
10450305
promoter
blood
21.24
0.00

458
ENST00000592860.2
CFD
19
859664
promoter
blood
16.53
0.85

459
ENST00000595042.5
FPR1
19
52255146
promoter
blood
63.93
0.18

460
ENST00000595217.1
NKG7
19
51875955
promoter
blood
33.26
0.52

461
ENST00000595325.5
MYO1F
19
8642322
promoter
blood
13.66
0.09

462
ENST00000595636.1
GMFG
19
39826664
promoter
blood
10.44
0.68

463
ENST00000595725.5
CD37
19
49838657
promoter
blood
20.04
0.12

464
ENST00000595840.1
LRRC25
19
18508421
promoter
blood
36.84
0.88

465
ENST00000596426.5
CD37
19
49838691
promoter
blood
55.55
0.57

466
ENST00000596764.5
VAV1
19
6772739
promoter
blood
12.25
0.59

467
ENST00000597852.5
CD37
19
49838675
promoter
blood
13.98
0.20

468
ENST00000598034.5
GMFG
19
39826646
promoter
blood
43.77
0.45

469
ENST00000599180.2
FFAR2
19
35939203
promoter
blood
24.79
0.00

470
ENST00000599716.5
SHKBP1
19
41082793
promoter
blood
10.66
0.22

471
ENST00000600626.1
C5AR2
19
47840371
promoter
blood
12.99
0.11

472
ENST00000600972.1
JUND
19
18391739
promoter
blood
17.49
0.60

473
ENST00000602185.5
GMFG
19
39826645
promoter
blood
14.09
0.00

474
ENST00000602569.1
IFITM2
11
308217
promoter
blood
3175.79
0.00

475
ENST00000605039.5
BIN2
12
51717938
promoter
blood
11.02
0.11

476
ENST00000611028.2
FOLR3
11
71846798
promoter
blood
11.13
0.00

477
ENST00000612844.4
FOLR3
11
71846756
promoter
blood
13.11
0.00

478
ENST00000615439.4
RASGRP4
19
38916945
promoter
blood
10.11
0.00

479
ENST00000615825.1
MME
3
154801957
promoter
blood
12.37
0.88

480
ENST00000616356.4
FCN1
9
137809723
promoter
blood
16.99
0.07

481
ENST00000618265.4
CD177
19
43857811
promoter
blood
222.54
0.73

482
ENST00000620541.4
RIN3
14
92980137
promoter
blood
17.39
0.84

483
ENST00000620888.4
HBG2
11
5276011
promoter
blood
161.14
0.00

484
ENST00000003084.10
CFTR
7
117120201
junction
tumor
0.00
30.20

485
ENST00000027335.7
CDH17
8
95220711
junction
tumor
0.00
149.83

486
ENST00000161006.7
PRSS22
16
2908024
junction
tumor
0.00
10.29

487
ENST00000162330.9
BCAR1
16
75285369
junction
tumor
0.00
16.86

488
ENST00000201586.6
SULT2B1
19
49055580
junction
tumor
0.03
16.67

489
ENST00000211314.4
TMEM14A
6
52536043
junction
tumor
0.67
25.17

490
ENST00000215582.7
MISP
19
751171
junction
tumor
0.00
116.54

491
ENST00000215743.7
MMP11
22
24115165
junction
tumor
0.08
42.41

492
ENST00000216968.4
PROCR
20
33760027
junction
tumor
0.36
28.48

493
ENST00000221992.10
CEACAM5
19
42212714
junction
tumor
0.00
1235.90

494
ENST00000223271.7
RARRES2
7
150038667
junction
tumor
0.41
46.30

495
ENST00000226230.7
TMEM97
17
26646391
junction
tumor
0.39
20.84

496
ENST00000226760.5
WFS1
4
6271741
junction
tumor
0.35
15.01

497
ENST00000227868.8
PDHX
11
34938362
junction
tumor
0.99
13.52

498
ENST00000228916.6
SCNN1A
12
6484671
junction
tumor
0.05
32.36

499
ENST00000230588.8
MEP1A
6
46761204
junction
tumor
0.00
21.95

500
ENST00000232458.9
ECT2
3
172468647
junction
tumor
0.28
12.07

501
ENST00000245451.8
BMP4
14
54423268
junction
tumor
0.00
16.43

502
ENST00000245907.10
C3
19
6720527
junction
tumor
0.37
15.08

503
ENST00000250405.9
BCL2L2
14
23776103
junction
tumor
1.00
11.63

504
ENST00000254260.7
RHPN2
19
33555690
junction
tumor
0.03
23.49

505
ENST00000255681.6
MACROD1
11
63933169
junction
tumor
0.54
22.18

506
ENST00000256585.9
REG4
1
120354032
junction
tumor
0.09
37.82

507
ENST00000256951.9
EMP1
12
13349806
junction
tumor
0.39
14.17

508
ENST00000260227.4
MMP7
11
102401324
junction
tumor
0.00
29.38

509
ENST00000261769.9
CDH1
16
68771366
junction
tumor
0.00
123.30

510
ENST00000262429.8
ATP2C2
16
84402320
junction
tumor
0.34
16.47

511
ENST00000262753.8
POF1B
X
84634644
junction
tumor
0.02
40.41

512
ENST00000263629.8
MTIF2
2
55496305
junction
tumor
0.85
13.76

513
ENST00000263735.8
EPCAM
2
47596720
junction
tumor
0.11
594.54

514
ENST00000263895.8
RND3
2
151344063
junction
tumor
0.00
10.29

515
ENST00000264144.4
LAMC2
1
183155566
junction
tumor
0.01
31.46

516
ENST00000264748.6
FGFRL1
4
1006352
junction
tumor
0.82
17.03

517
ENST00000266980.8
SLC39A5
12
56624657
junction
tumor
0.00
20.87

518
ENST00000267101.7
ERBB3
12
56474166
junction
tumor
0.00
40.98

519
ENST00000267814.13
SORD
15
45315547
junction
tumor
0.93
13.70

520
ENST00000267996.11
TPM1
15
63335142
junction
tumor
0.87
32.98

521
ENST00000269571.9
ERBB2
17
37856564
junction
tumor
0.00
11.47

522
ENST00000270560.3
TM4SF5
17
4675394
junction
tumor
0.00
18.39

523
ENST00000271064.11
TINAGL1
1
32042196
junction
tumor
0.10
42.75

524
ENST00000278559.7
CAPN5
11
76778141
junction
tumor
0.52
27.31

525
ENST00000278937.6
MPZL2
11
118134811
junction
tumor
0.37
17.05

526
ENST00000288937.6
MRPL17
11
6704354
junction
tumor
0.85
16.44

527
ENST00000290130.3
MIS18A
21
33650992
junction
tumor
0.49
12.76

528
ENST00000290913.7
CHCHD6
3
126423242
junction
tumor
0.65
15.07

529
ENST00000291525.11
TFF3
21
43735403
junction
tumor
0.00
209.02

530
ENST00000292401.8
AZGP1
7
99573568
junction
tumor
0.14
45.24

531
ENST00000292408.8
FGFR4
5
176514078
junction
tumor
0.07
25.86

532
ENST00000295092.2
FAM84A
2
14773061
junction
tumor
0.00
13.18

533
ENST00000296129.5
CDCP1
3
45187698
junction
tumor
0.11
15.27

534
ENST00000296252.8
LIPH
3
185270211
junction
tumor
0.03
12.23

535
ENST00000296424.8
BDH2
4
104020940
junction
tumor
0.99
14.16

536
ENST00000296666.12
PRRC1
5
126853468
junction
tumor
0.95
11.62

537
ENST00000297205.6
STEAP1
7
89783857
junction
tumor
0.00
14.91

538
ENST00000299610.4
MFAP4
17
19290463
junction
tumor
0.39
15.19

539
ENST00000299714.7
SEC11C
18
56807267
junction
tumor
0.62
11.38

540
ENST00000300119.7
MYO1A
12
57443671
junction
tumor
0.00
15.11

541
ENST00000300283.10
CKMT1B
15
43885469
junction
tumor
0.00
35.88

542
ENST00000300557.2
PRR15L
17
46035023
junction
tumor
0.03
96.21

543
ENST00000301395.7
GGT6
17
4463677
junction
tumor
0.00
16.81

544
ENST00000301887.8
BATF2
11
64764348
junction
tumor
0.43
11.12

545
ENST00000307078.9
AXIN2
17
63557568
junction
tumor
0.09
14.10

546
ENST00000308302.3
GOLT1A
1
204183010
junction
tumor
0.03
12.22

547
ENST00000308831.6
RHOD
11
66824505
junction
tumor
0.07
10.41

548
ENST00000310398.6
AGR3
7
16921568
junction
tumor
0.00
33.08

549
ENST00000310706.9
JUP
17
39942840
junction
tumor
0.87
86.21

550
ENST00000310836.10
UGT8
4
115520130
junction
tumor
0.04
14.08

551
ENST00000311160.13
TNS3
7
47621649
junction
tumor
0.68
16.18

552
ENST00000311381.7
C6orf203
6
107349475
junction
tumor
0.93
14.55

553
ENST00000311620.6
ANKS4B
16
21245222
junction
tumor
0.00
10.61

554
ENST00000316673.8
HNF4A
20
42984493
junction
tumor
0.00
10.78

555
ENST00000317508.10
PRSS8
16
31146735
junction
tumor
0.11
143.22

556
ENST00000318024.8
USH1C
11
17565819
junction
tumor
0.00
46.62

557
ENST00000318407.4
BOK
2
242498408
junction
tumor
0.57
13.75

558
ENST00000318443.9
CD276
15
73976801
junction
tumor
0.00
11.45

559
ENST00000318683.6
B3GNT3
19
17906015
junction
tumor
0.00
57.75

560
ENST00000319838.9
GPR35
2
241544987
junction
tumor
0.31
30.59

561
ENST00000322536.7
DDX10
11
108536066
junction
tumor
0.75
10.84

562
ENST00000324038.6
FAM101A
12
124773916
junction
tumor
0.00
10.08

563
ENST00000325307.11
HMGB3
X
150151849
junction
tumor
0.30
14.09

564
ENST00000325568.9
IL32
16
3115495
junction
tumor
0.93
14.52

565
ENST00000326587.11
MAGED1
X
51636851
junction
tumor
0.60
16.14

566
ENST00000329875.12
PYCR1
17
79894624
junction
tumor
0.12
36.33

567
ENST00000331595.8
BGN
X
152760571
junction
tumor
0.60
74.92

568
ENST00000332149.9
TMPRSS2
21
42880008
junction
tumor
0.02
43.57

569
ENST00000333090.4
TSKU
11
76494448
junction
tumor
0.00
17.21

570
ENST00000334047.11
F3
1
95007093
junction
tumor
0.08
13.07

571
ENST00000334869.8
LGMN
14
93214834
junction
tumor
0.94
45.73

572
ENST00000337682.8
FAM60A
12
31478958
junction
tumor
0.97
25.73

573
ENST00000338660.5
VWA1
1
1371201
junction
tumor
0.06
21.82

574
ENST00000339276.5
SFN
1
27190948
junction
tumor
0.60
113.82

575
ENST00000340556.10
MORN2
2
39103251
junction
tumor
0.33
11.41

576
ENST00000344616.3
S100A14
1
153588771
junction
tumor
0.00
143.55

577
ENST00000350051.7
BIRC5
17
76210508
junction
tumor
0.63
18.32

578
ENST00000352551.9
UBE2C
20
44441435
junction
tumor
0.00
10.99

579
ENST00000354624.5
HKDC1
10
70980254
junction
tumor
0.14
20.07

580
ENST00000354900.7
LSR
19
35740034
junction
tumor
0.75
31.22

581
ENST00000355097.6
ENTPD2
9
139948333
junction
tumor
0.03
10.14

582
ENST00000355808.9
PDHA1
X
19362212
junction
tumor
0.25
16.21

583
ENST00000355899.7
PLS3
X
114795587
junction
tumor
0.00
12.05

584
ENST00000356509.7
GMNN
6
24775340
junction
tumor
0.57
11.97

585
ENST00000356762.7
CRB3
19
6464361
junction
tumor
0.00
12.29

586
ENST00000357166.10
ZDHHC9
X
128977672
junction
tumor
0.29
20.11

587
ENST00000357602.7
IPO5
13
98612657
junction
tumor
0.80
15.40

588
ENST00000358432.7
EPHA2
1
16482343
junction
tumor
0.03
23.85

589
ENST00000358813.4
CCL20
2
228678703
junction
tumor
0.00
33.26

590
ENST00000358867.10
TMEM126B
11
85339732
junction
tumor
0.47
17.68

591
ENST00000360325.11
CLDN7
17
7165140
junction
tumor
0.09
133.65

592
ENST00000360605.8
URI1
19
30414661
junction
tumor
0.44
12.86

593
ENST00000360760.9
SPATS2L
2
201171324
junction
tumor
0.73
32.04

594
ENST00000360779.3
SDCBP2
20
1309729
junction
tumor
0.00
17.84

595
ENST00000361084.9
RAB25
1
156031234
junction
tumor
0.07
131.50

596
ENST00000361852.8
EPS8L3
1
110306444
junction
tumor
0.00
26.64

597
ENST00000361901.6
CALD1
7
134464500
junction
tumor
0.42
33.93

598
ENST00000366787.7
THBS2
6
169654085
junction
tumor
0.07
14.23

599
ENST00000366999.8
NEK2
1
211848726
junction
tumor
0.16
11.93

600
ENST00000367274.8
UBE2T
1
202311023
junction
tumor
0.63
29.13

601
ENST00000367283.7
ELF3
1
201979948
junction
tumor
0.07
135.46

602
ENST00000367284.9
ELF3
1
201979834
junction
tumor
0.02
50.55

603
ENST00000367313.4
LAD1
1
201368538
junction
tumor
0.05
100.09

604
ENST00000367976.3
CTGF
6
132272247
junction
tumor
0.32
44.18

605
ENST00000368408.3
EFNA3
1
155051545
junction
tumor
0.36
18.08

606
ENST00000368554.8
PRAP1
10
135122967
junction
tumor
0.00
32.41

607
ENST00000369406.7
HMGCS2
1
120311364
junction
tumor
0.00
17.63

608
ENST00000370481.8
GBP3
1
89488367
junction
tumor
0.66
12.56

609
ENST00000370828.3
GPC4
X
132548834
junction
tumor
0.03
13.27

610
ENST00000371221.3
ALDH18A1
10
97416354
junction
tumor
0.04
29.55

611
ENST00000372486.5
NTMT1
9
132371457
junction
tumor
0.00
14.12

612
ENST00000372966.7
NOX1
X
100129084
junction
tumor
0.00
48.52

613
ENST00000373255.8
H2AFY2
10
71812756
junction
tumor
0.42
12.60

614
ENST00000373290.6
TSPAN15
10
71211446
junction
tumor
0.30
60.96

615
ENST00000373669.6
PIN4
X
71401678
junction
tumor
0.87
13.81

616
ENST00000373699.5
PPIL1
6
36842493
junction
tumor
0.85
17.26

617
ENST00000373944.7
ZWINT
10
58120957
junction
tumor
0.38
16.27

618
ENST00000374183.4
BSPRY
9
116112060
junction
tumor
0.22
15.59

619
ENST00000374214.3
UQCC2
6
33679326
junction
tumor
1.00
17.77

620
ENST00000374837.7
MAP1LC3A
20
33134720
junction
tumor
0.87
16.45

621
ENST00000375431.8
GRTP1
13
114018335
junction
tumor
0.05
18.16

622
ENST00000376569.7
DDR1
6
30851922
junction
tumor
0.08
11.00

623
ENST00000376652.8
ENTPD6
20
25176503
junction
tumor
0.44
14.06

624
ENST00000378115.2
ARHGEF35
7
143892631
junction
tumor
0.10
13.16

625
ENST00000378378.8
ARHGEF16
1
3371375
junction
tumor
0.00
12.12

626
ENST00000378427.5
FAM213B
1
2518387
junction
tumor
0.59
12.06

627
ENST00000379046.6
NQO1
16
69760336
junction
tumor
0.07
39.35

628
ENST00000379715.9
EEF1E1
6
8102668
junction
tumor
0.59
17.82

629
ENST00000379742.4
POSTN
13
38172745
junction
tumor
0.01
11.69

630
ENST00000379923.5
ACO1
9
32384733
junction
tumor
0.81
16.28

631
ENST00000380071.7
RFC3
13
34392402
junction
tumor
0.48
15.11

632
ENST00000381134.7
ARSE
X
2882265
junction
tumor
0.00
24.51

633
ENST00000382848.4
GJB2
13
20766922
junction
tumor
0.09
18.88

634
ENST00000389614.5
GPX2
14
65409223
junction
tumor
0.10
652.10

635
ENST00000391967.6
LAD1
1
201368397
junction
tumor
0.00
16.64

636
ENST00000393316.7
BCL2L15
1
114429871
junction
tumor
0.11
11.11

637
ENST00000393366.6
ATP5G1
17
46970272
junction
tumor
0.63
40.08

638
ENST00000393725.6
KIAA1191
5
175788605
junction
tumor
0.75
11.70

639
ENST00000394201.8
SCOC
4
141294871
junction
tumor
0.53
14.61

640
ENST00000394265.5
PPP1R1B
17
37784875
junction
tumor
0.00
81.30

641
ENST00000394267.2
PPP1R1B
17
37784959
junction
tumor
0.00
87.42

642
ENST00000395641.2
NUPR1
16
28550117
junction
tumor
0.45
37.05

643
ENST00000397542.6
CDHR5
11
624818
junction
tumor
0.02
18.38

644
ENST00000397714.6
SEPTIN10
2
110371375
junction
tumor
0.14
14.96

645
ENST00000397995.2
RNASE4
14
21152855
junction
tumor
0.56
10.20

646
ENST00000401412.5
AGR2
7
16844577
junction
tumor
0.00
103.38

647
ENST00000403444.7
CEACAM1
19
43032463
junction
tumor
0.00
33.67

648
ENST00000405271.5
EPCAM
2
47572362
junction
tumor
0.00
20.99

649
ENST00000410036.2
MZT2A
2
132250293
junction
tumor
0.00
12.64

650
ENST00000416348.1
ADIRF
10
88728362
junction
tumor
0.00
22.43

651
ENST00000419304.6
AGR2
7
16844559
junction
tumor
0.00
257.72

652
ENST00000419308.6
FOXA2
20
22564830
junction
tumor
0.00
13.51

653
ENST00000420892.1
HTRA1
10
124266401
junction
tumor
0.98
24.46

654
ENST00000423485.5
TOP2A
17
38574023
junction
tumor
0.44
31.06

655
ENST00000425042.6
HID1
17
72968686
junction
tumor
0.23
13.99

656
ENST00000425340.2
FUT2
19
49199346
junction
tumor
0.02
13.10

657
ENST00000428445.1
VARS
6
31750307
junction
tumor
0.78
10.22

658
ENST00000428849.6
KIFC1
6
33359774
junction
tumor
0.60
17.24

659
ENST00000429772.6
TMEM106C
12
48357487
junction
tumor
0.70
34.02

660
ENST00000430118.1
HMGB3
X
150154222
junction
tumor
0.52
12.82

661
ENST00000433307.2
PLEKHA1
10
124152857
junction
tumor
0.98
13.38

662
ENST00000441275.5
BDH1
3
197282652
junction
tumor
0.87
17.80

663
ENST00000444124.6
DDC
7
50632982
junction
tumor
0.00
21.66

664
ENST00000448599.2
PHGR1
15
40643263
junction
tumor
0.00
289.14

665
ENST00000450427.1
PRR15
7
29605369
junction
tumor
0.00
10.59

666
ENST00000450894.7
ITGB4
17
73717692
junction
tumor
0.14
50.86

667
ENST00000452441.5
DDR1
6
30852487
junction
tumor
0.07
51.62

668
ENST00000455712.5
POLR2H
3
184080512
junction
tumor
0.94
11.92

669
ENST00000463201.2
PRAP1
10
135164937
junction
tumor
0.00
54.46

670
ENST00000467415.5
TMEM14C
6
10723474
junction
tumor
0.69
26.73

671
ENST00000467905.5
AK2
1
33502337
junction
tumor
0.00
11.87

672
ENST00000469862.1
CENPF
1
214828746
junction
tumor
0.39
10.26

673
ENST00000472782.1
ATP5G3
2
176046384
junction
tumor
0.62
10.87

674
ENST00000476587.1
NDUFB5
3
179334832
junction
tumor
0.89
14.92

675
ENST00000478194.1
FERMT1
20
6074721
junction
tumor
0.00
27.00

676
ENST00000478869.1
WDR12
2
203765748
junction
tumor
0.71
14.50

677
ENST00000479419.1
IFT172
2
27668796
junction
tumor
0.00
37.10

678
ENST00000484713.1
LAMB2
3
49158866
junction
tumor
0.41
13.87

679
ENST00000489477.1
NDUFAF4
6
97345542
junction
tumor
0.66
10.30

680
ENST00000490807.5
NTPCR
1
233086490
junction
tumor
0.77
10.54

681
ENST00000494446.1
FN1
2
216230228
junction
tumor
0.79
52.10

682
ENST00000494801.5
TCEAL4
X
102840552
junction
tumor
0.60
13.59

683
ENST00000495558.1
VWA1
1
1370526
junction
tumor
0.00
13.92

684
ENST00000496195.1
GLRX3
10
131977684
junction
tumor
0.98
10.30

685
ENST00000497734.5
SRC
20
35973290
junction
tumor
0.00
12.44

686
ENST00000507614.1
TIMM8B
11
111957364
junction
tumor
0.80
10.54

687
ENST00000507699.1
PALLD
4
169819865
junction
tumor
0.31
14.56

688
ENST00000514985.5
SEPP1
5
42811938
junction
tumor
0.59
49.95

689
ENST00000520271.5
COX6C
8
100905671
junction
tumor
0.51
12.86

690
ENST00000523677.5
C1orf210
1
43751115
junction
tumor
0.00
13.49

691
ENST00000524832.5
CHID1
11
902198
junction
tumor
0.42
10.82

692
ENST00000525657.1
C1QTNF5
11
119211405
junction
tumor
0.05
17.27

693
ENST00000526202.5
LMO7
13
76334967
junction
tumor
0.09
23.11

694
ENST00000527106.5
FUT6
19
5838688
junction
tumor
0.00
13.22

695
ENST00000528430.2
PPP1R16A
8
145726677
junction
tumor
0.92
22.33

696
ENST00000530094.5
CTNND1
11
57529518
junction
tumor
0.00
26.61

697
ENST00000533827.5
VPS51
11
64877063
junction
tumor
0.00
12.01

698
ENST00000534378.5
ILVBL
19
15236467
junction
tumor
0.64
11.41

699
ENST00000537496.5
MMAB
12
110011152
junction
tumor
0.93
12.43

700
ENST00000541754.1
NNMT
11
114168120
junction
tumor
0.72
23.55

701
ENST00000542056.1
GPRC5A
12
13044598
junction
tumor
0.00
23.91

702
ENST00000543445.5
LDHA
11
18416188
junction
tumor
0.00
71.47

703
ENST00000543623.5
PLCD3
17
43192462
junction
tumor
0.27
14.58

704
ENST00000546314.5
STARD10
11
72493311
junction
tumor
0.00
31.66

705
ENST00000546485.5
RPL41
12
56510443
junction
tumor
0.75
48.15

706
ENST00000547281.5
CDK4
12
58145958
junction
tumor
0.83
30.31

707
ENST00000547838.2
FAM109A
12
111801492
junction
tumor
0.94
11.49

708
ENST00000548169.2
ATP2A2
12
110729929
junction
tumor
0.34
13.63

709
ENST00000552128.2
TSPAN8
12
71532931
junction
tumor
0.00
15.81

710
ENST00000552561.5
TMEM106C
12
48357416
junction
tumor
0.38
17.25

711
ENST00000554989.1
CKB
14
103987600
junction
tumor
0.75
83.82

712
ENST00000557049.1
GPX2
14
65409385
junction
tumor
0.00
18.28

713
ENST00000558580.1
SORD
15
45328542
junction
tumor
0.95
15.73

714
ENST00000559087.5
BMP4
14
54423477
junction
tumor
0.00
13.08

715
ENST00000562684.5
HN1L
16
1728357
junction
tumor
0.25
19.21

716
ENST00000564043.1
NQO1
16
69760404
junction
tumor
0.32
89.24

717
ENST00000581920.1
TYMS
18
667752
junction
tumor
0.88
11.79

718
ENST00000583327.2
ITGB4
17
73747929
junction
tumor
0.12
32.84

719
ENST00000586005.5
SMIM22
16
4845450
junction
tumor
0.00
103.03

720
ENST00000587251.5
LGALS3BP
17
76975906
junction
tumor
0.00
48.36

721
ENST00000588605.5
C19orf33
19
38794923
junction
tumor
0.22
18.46

722
ENST00000589378.5
TJP3
19
3721908
junction
tumor
0.13
11.74

723
ENST00000591795.1
DENND1C
19
6469607
junction
tumor
0.56
11.26

724
ENST00000594443.5
FBL
19
40336931
junction
tumor
0.00
19.57

725
ENST00000594605.5
STAP2
19
4338649
junction
tumor
0.06
27.33

726
ENST00000595110.1
FAM83E
19
49117965
junction
tumor
0.00
13.13

727
ENST00000597153.5
LGALS4
19
39303482
junction
tumor
0.00
20.51

728
ENST00000601623.5
LSR
19
35740271
junction
tumor
0.21
24.39

729
ENST00000610552.4
SLC2A8
9
130159565
junction
tumor
0.65
11.38

730
ENST00000612794.1
GPX2
14
65409328
junction
tumor
0.00
23.73

731
ENST00000612809.4
C8orf59
8
86132535
junction
tumor
0.94
54.53

732
ENST00000616154.1
CDX1
5
149546475
junction
tumor
0.00
138.07

733
ENST00000616727.4
MUC13
3
124653505
junction
tumor
0.01
221.05

734
ENST00000618855.4
TMPRSS4
11
117948020
junction
tumor
0.00
10.45

735
ENST00000619895.4
TMC4
19
54676734
junction
tumor
0.35
33.05

736
ENST00000620753.4
EI24
11
125439410
junction
tumor
0.63
12.17

737
ENST00000008938.4
PGLYRP1
19
46525993
junction
blood
148.76
0.05

738
ENST00000199708.2
HBQ1
16
230580
junction
blood
45.79
0.00

739
ENST00000216338.8
GZMH
14
25078765
junction
blood
15.58
0.99

740
ENST00000221515.5
RETN
19
7734007
junction
blood
72.49
0.19

741
ENST00000221954.6
CEACAM4
19
42133268
junction
blood
32.81
0.13

742
ENST00000225538.3
P2RX1
17
3819383
junction
blood
15.55
0.30

743
ENST00000232014.8
BCL6
3
187453878
junction
blood
19.07
0.18

744
ENST00000234347.9
PRTN3
19
841069
junction
blood
13.78
0.00

745
ENST00000236826.7
MMP8
11
102595485
junction
blood
20.68
0.04

746
ENST00000244709.8
TREM1
6
41254345
junction
blood
67.12
0.63

747
ENST00000246115.4
S1PR4
19
3180330
junction
blood
127.44
0.94

748
ENST00000246549.2
FFAR2
19
35942667
junction
blood
58.85
0.34

749
ENST00000246657.2
CCR7
17
38721652
junction
blood
11.89
0.75

750
ENST00000259396.8
ORM1
9
117085527
junction
blood
34.89
0.14

751
ENST00000262407.5
ITGA2B
17
42466654
junction
blood
12.34
0.04

752
ENST00000264972.9
ZAP70
2
98330137
junction
blood
15.69
0.72

753
ENST00000279452.10
CD44
11
35198287
junction
blood
10.76
0.00

754
ENST00000281703.10
GLT1D1
12
129338194
junction
blood
22.75
0.02

755
ENST00000290075.10
SLC25A37
8
23386725
junction
blood
45.08
0.87

756
ENST00000292432.9
HK3
5
176326268
junction
blood
98.07
0.60

757
ENST00000295683.2
CXCR1
2
219031631
junction
blood
355.57
0.18

758
ENST00000296435.2
CAMP
3
48265202
junction
blood
27.17
0.06

759
ENST00000296487.8
PPM1M
3
52280330
junction
blood
13.09
0.41

760
ENST00000297239.10
SYTL3
6
159082417
junction
blood
10.79
0.54

761
ENST00000299663.7
CLEC4E
12
8693357
junction
blood
29.27
0.20

762
ENST00000302017.3
ZNF467
7
149470197
junction
blood
25.10
0.54

763
ENST00000303531.11
PRKCB
16
23847669
junction
blood
16.08
0.36

764
ENST00000303757.12
LST1
6
31555095
junction
blood
11.09
0.23

765
ENST00000307564.8
AKNA
9
117156637
junction
blood
11.95
0.38

766
ENST00000310544.8
PHOSPHO1
17
47307830
junction
blood
30.92
0.08

767
ENST00000318507.6
CXCR2
2
218991076
junction
blood
157.27
0.28

768
ENST00000326165.10
CD300LF
17
72708963
junction
blood
18.99
0.70

769
ENST00000328118.7
FMNL1
17
43299554
junction
blood
11.80
0.41

770
ENST00000329021.9
NFAM1
22
42828243
junction
blood
43.63
0.94

771
ENST00000329410.3
C16orf54
16
29757232
junction
blood
24.31
0.49

772
ENST00000332549.7
IL1R2
2
102608473
junction
blood
112.29
0.55

773
ENST00000336577.8
MMP25
16
3097017
junction
blood
194.37
0.54

774
ENST00000336906.4
HBG2
11
5275867
junction
blood
104.85
0.00

775
ENST00000338372.6
VSTM1
19
54566998
junction
blood
10.71
0.00

776
ENST00000342571.7
MKNK1
1
47051546
junction
blood
14.42
0.02

777
ENST00000343534.9
C1orf162
1
112016652
junction
blood
37.68
0.74

778
ENST00000346667.8
IKZF1
7
50344518
junction
blood
11.73
0.24

779
ENST00000352818.8
CD44
11
35160917
junction
blood
14.11
0.00

780
ENST00000354352.9
SLC11A1
2
219247098
junction
blood
111.80
0.63

781
ENST00000355524.7
FCAR
19
55385779
junction
blood
53.04
0.07

782
ENST00000356815.3
HBM
16
216088
junction
blood
163.82
0.00

783
ENST00000356838.7
TMEM71
8
133772722
junction
blood
16.78
0.36

784
ENST00000356864.3
TNFRSF10C
8
22960694
junction
blood
108.86
0.56

785
ENST00000357198.8
DOK3
5
176936803
junction
blood
66.68
0.74

786
ENST00000357260.5
FAM212B
1
112281808
junction
blood
12.23
0.67

787
ENST00000358375.8
OSCAR
19
54604047
junction
blood
18.93
0.28

788
ENST00000367025.7
TRAF3IP3
1
209929654
junction
blood
17.52
0.64

789
ENST00000367053.5
CR1
1
207669733
junction
blood
10.47
0.02

790
ENST00000367535.7
NCF2
1
183559291
junction
blood
75.23
0.98

791
ENST00000367568.4
STX11
6
144471840
junction
blood
24.42
0.79

792
ENST00000367972.8
FCGR2A
1
161475342
junction
blood
27.69
0.40

793
ENST00000368015.1
ARHGAP30
1
161039410
junction
blood
20.61
0.58

794
ENST00000368732.5
S100A8
1
153363333
junction
blood
53.91
0.00

795
ENST00000368737.4
S100A12
1
153348028
junction
blood
1099.02
0.31

796
ENST00000371806.3
FCN1
9
137809615
junction
blood
379.64
0.88

797
ENST00000373103.5
CSF3R
1
36948412
junction
blood
61.20
0.04

798
ENST00000373925.5
THEMIS2
1
28199176
junction
blood
12.15
0.53

799
ENST00000374005.7
FGR
1
27961576
junction
blood
32.42
0.29

800
ENST00000374163.5
RPS6KA1
1
26872526
junction
blood
17.41
0.87

801
ENST00000375448.4
PADI4
1
17634809
junction
blood
95.04
0.03

802
ENST00000375862.6
HCK
20
30640289
junction
blood
20.11
0.09

803
ENST00000376670.7
GATA1
X
48645053
junction
blood
11.17
0.01

804
ENST00000377497.7
RASGRP2
11
64512214
junction
blood
48.02
0.55

805
ENST00000378023.8
FAM65B
6
24877179
junction
blood
15.67
0.00

806
ENST00000379400.7
RASSF2
20
4804203
junction
blood
13.75
0.82

807
ENST00000380299.3
HBD
11
5255572
junction
blood
138.84
0.07

808
ENST00000381112.7
CCM2
7
45067396
junction
blood
17.78
0.00

809
ENST00000381153.7
C11orf21
11
2322986
junction
blood
11.33
0.09

810
ENST00000381603.7
SIRPB1
20
1600515
junction
blood
26.01
0.00

811
ENST00000391750.5
LILRB3
19
54727293
junction
blood
65.61
0.41

812
ENST00000393450.5
MYL4
17
45286923
junction
blood
22.77
0.00

813
ENST00000393847.5
DPEP2
16
68033278
junction
blood
24.04
0.44

814
ENST00000394991.7
SNCA
4
90758113
junction
blood
32.19
0.35

815
ENST00000397147.6
NCF4
22
37257245
junction
blood
154.32
0.92

816
ENST00000398421.6
NCF1
7
74188450
junction
blood
11.04
0.04

817
ENST00000399173.5
FGR
1
27952557
junction
blood
101.05
0.26

818
ENST00000399753.2
MSRB1
16
1993103
junction
blood
11.22
0.15

819
ENST00000409220.5
ARHGAP25
2
69002552
junction
blood
23.89
0.31

820
ENST00000409930.3
IL1RN
2
113885317
junction
blood
21.18
0.85

821
ENST00000416215.6
PTPN6
12
7060683
junction
blood
12.72
0.88

822
ENST00000422400.6
VNN2
6
133078810
junction
blood
14.59
0.10

823
ENST00000423345.4
PRAM1
19
8567449
junction
blood
25.32
0.30

824
ENST00000433194.6
CDK5RAP2
9
123165594
junction
blood
22.55
0.52

825
ENST00000441002.1
IL1R2
2
102625104
junction
blood
16.30
0.00

826
ENST00000445347.1
LILRB3
19
54726815
junction
blood
49.26
0.10

827
ENST00000445961.5
RPS9
19
54704829
junction
blood
14.72
0.89

828
ENST00000447110.5
PIK3R5
17
8868913
junction
blood
12.89
0.29

829
ENST00000449131.6
BEST1
11
61717899
junction
blood
13.35
0.54

830
ENST00000454703.6
ACSL1
4
185747070
junction
blood
35.07
0.78

831
ENST00000460442.5
ZDHHC19
3
195925660
junction
blood
22.43
0.04

832
ENST00000464431.1
ABTB1
3
127395274
junction
blood
20.22
0.70

833
ENST00000464465.6
CSF3R
1
36937034
junction
blood
259.11
0.50

834
ENST00000465814.5
ARAP1
11
72432895
junction
blood
10.09
0.58

835
ENST00000467786.1
FGD3
9
95737687
junction
blood
43.15
0.29

836
ENST00000474085.5
IL1R2
2
102638711
junction
blood
24.35
0.04

837
ENST00000475226.1
HBB
11
5247807
junction
blood
2709.48
0.00

838
ENST00000477801.1
S100A8
1
153362871
junction
blood
161.47
0.07

839
ENST00000480395.5
TRIM22
11
5717885
junction
blood
17.36
0.70

840
ENST00000481568.2
C10orf54
10
73521355
junction
blood
31.27
0.90

841
ENST00000483750.5
WAS
X
48542374
junction
blood
34.49
0.17

842
ENST00000485743.1
HBB
11
5248160
junction
blood
128.52
0.00

843
ENST00000485928.5
PHC2
1
33815198
junction
blood
11.05
0.73

844
ENST00000486097.1
NCF1
7
74197975
junction
blood
12.51
0.06

845
ENST00000487540.6
CSF3R
1
36937839
junction
blood
47.30
0.17

846
ENST00000488171.5
CD55
1
207495210
junction
blood
25.43
0.43

847
ENST00000488945.5
GNLY
2
85912344
junction
blood
11.68
0.09

848
ENST00000489358.5
NAMPT
7
105925274
junction
blood
30.07
0.00

849
ENST00000491955.5
MPP1
X
154009875
junction
blood
10.84
0.42

850
ENST00000493242.1
LILRB2
19
54784816
junction
blood
22.65
0.13

851
ENST00000494185.1
LMNB1
5
126147590
junction
blood
10.53
0.00

852
ENST00000496823.1
BCL6
3
187463198
junction
blood
21.33
0.20

853
ENST00000497259.5
ARHGAP25
2
69034612
junction
blood
25.49
0.72

854
ENST00000497920.1
ARID5A
2
97213254
junction
blood
11.90
0.30

855
ENST00000509314.5
FBXL5
4
15661350
junction
blood
10.24
0.00

856
ENST00000509339.1
MXD3
5
176734782
junction
blood
30.07
0.08

857
ENST00000510784.6
FAM65B
6
25042079
junction
blood
61.47
0.19

858
ENST00000513001.5
ACSL1
4
185678973
junction
blood
17.65
0.10

859
ENST00000520174.5
DMTN
8
21914647
junction
blood
16.02
0.00

860
ENST00000523022.5
CA1
8
86290275
junction
blood
40.92
0.11

861
ENST00000525270.5
VNN2
6
133084522
junction
blood
38.37
0.12

862
ENST00000527146.1
IFITM2
11
308438
junction
blood
18.56
0.63

863
ENST00000528780.5
IFITM1
11
313691
junction
blood
47.88
0.31

864
ENST00000529635.5
TBC1D10C
11
67171825
junction
blood
16.89
0.34

865
ENST00000533968.1
SPI1
11
47399860
junction
blood
12.90
0.22

866
ENST00000535669.6
CD37
19
49838866
junction
blood
33.70
0.19

867
ENST00000540998.5
CDC42SE1
1
151031955
junction
blood
10.52
0.00

868
ENST00000542481.1
ATG16L2
11
72535167
junction
blood
25.18
0.37

869
ENST00000543576.5
DENND1C
19
6481690
junction
blood
12.06
0.00

870
ENST00000544232.5
TMEM91
19
41882759
junction
blood
12.57
0.20

871
ENST00000544665.7
ITGAM
16
31271413
junction
blood
56.38
0.99

872
ENST00000546704.1
ARHGAP9
12
57868658
junction
blood
19.20
0.13

873
ENST00000552370.5
TMBIM6
12
50144488
junction
blood
26.69
0.00

874
ENST00000553070.5
NFE2
12
54694585
junction
blood
23.61
0.00

875
ENST00000558012.5
PSTPIP1
15
77287950
junction
blood
26.47
0.31

876
ENST00000564662.1
COTL1
16
84651107
junction
blood
10.13
0.81

877
ENST00000564905.1
XPO6
16
28145162
junction
blood
12.98
0.47

878
ENST00000568763.1
CORO1A
16
30195046
junction
blood
45.17
0.63

879
ENST00000570106.6
SIGLEC5
19
52133552
junction
blood
40.53
0.18

880
ENST00000572782.1
ARRB2
17
4618338
junction
blood
16.63
0.33

881
ENST00000576628.1
ACAP1
17
7240106
junction
blood
20.20
0.18

882
ENST00000577894.1
EVI2B
17
29640997
junction
blood
14.34
0.00

883
ENST00000578067.5
LIMD2
17
61776617
junction
blood
10.86
0.22

884
ENST00000578402.5
LIMD2
17
61777729
junction
blood
31.49
0.77

885
ENST00000585901.6
TYROBP
19
36399070
junction
blood
13.40
0.19

886
ENST00000586946.1
TYROBP
19
36399077
junction
blood
23.56
0.61

887
ENST00000587259.5
VMP1
17
57807378
junction
blood
10.58
0.05

888
ENST00000587856.1
FMNL1
17
43311567
junction
blood
22.20
0.28

889
ENST00000588673.3
OAZ1
19
2270675
junction
blood
24.28
0.69

890
ENST00000589900.5
ICAM3
19
10450215
junction
blood
21.24
0.00

891
ENST00000592860.2
CFD
19
859765
junction
blood
16.53
0.85

892
ENST00000595042.5
FPR1
19
52255067
junction
blood
63.93
0.18

893
ENST00000595217.1
NKG7
19
51875633
junction
blood
33.26
0.52

894
ENST00000595325.5
MYO1F
19
8642191
junction
blood
13.66
0.09

895
ENST00000595636.1
GMFG
19
39826614
junction
blood
10.44
0.68

896
ENST00000595840.1
LRRC25
19
18508263
junction
blood
36.84
0.88

897
ENST00000596764.5
VAV1
19
6773022
junction
blood
12.25
0.59

898
ENST00000597852.5
CD37
19
49838832
junction
blood
13.98
0.20

899
ENST00000599180.2
FFAR2
19
35939281
junction
blood
24.79
0.00

900
ENST00000599716.5
SHKBP1
19
41082891
junction
blood
10.66
0.22

901
ENST00000600626.1
C5AR2
19
47840426
junction
blood
12.99
0.11

902
ENST00000600972.1
JUND
19
18391266
junction
blood
17.49
0.60

903
ENST00000605039.5
BIN2
12
51717806
junction
blood
11.02
0.11

904
ENST00000611028.2
FOLR3
11
71846814
junction
blood
11.13
0.00

905
ENST00000615439.4
RASGRP4
19
38916709
junction
blood
10.11
0.00

906
ENST00000615825.1
MME
3
154802116
junction
blood
12.37
0.88

907
ENST00000618265.4
CD177
19
43857918
junction
blood
222.54
0.73

908
ENST00000620541.4
RIN3
14
92980320
junction
blood
17.39
0.84

Columns

ID: feature index

Transcript: transcript ID

Gene: gene name

Chr: chromosome

Site: coordinate of nucleosome-depleted site (GRCh37)

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

FPKM_blood: FPKM value in normal blood

FPKM_tumor: FPKM value in tumor of colorectal cancer

TABLE S4

Coefficients for the selected NDRs in the trained models

(CRC model and CRC + BRCA model).

CRC model

Feature
Gene
Transcript
Region
Group
Coefficient

1
SHKBP1
ENST00000599716
junction
blood
0.607

2
ACSL1
ENST00000454703
junction
blood
0.431

3
BCAR1
ENST00000162330
junction
tumor
−0.321

4
RAB25
ENST00000361084
promoter
tumor
−0.213

5
PRTN3
ENST00000234347
promoter
blood
0.062

6
LSR
ENST00000605618
promoter
tumor
−0.174

Columns

Gene: gene name

Transcript: transcript ID

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

Coefficient: value of the regression coefficient. The intercept value is 0.4368.

CRC + BRCA model

Feature
Gene
Transcript
Region
Group
Coefficient

1
SLC11A1
ENST00000465984
promoter
blood
0.150

2
NLRP12
ENST00000324134
promoter
blood
0.181

3
PRTN3
ENST00000234347
promoter
blood
0.124

4
HMBS
ENST00000392841
promoter
blood
0.251

5
LILRB3
ENST00000460208
promoter
blood
0.140

6
ACSL1
ENST00000513001
junction
blood
0.106

7
GP9
ENST00000307395
junction
blood
0.251

8
MX2
ENST00000398632
promoter
blood
0.106

9
RASGRP4
ENST00000615340
promoter
blood
0.222

10
ATG16L2
ENST00000542481
promoter
blood
0.166

Columns

Gene: gene name

Transcript: transcript ID

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

Coefficient: value of the regression coefficient. The intercept value is −1.3719.

TABLE S4

Columns

Gene: gene name

Transcript: transcript ID

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

Coefficient: value of the regression coefficient. The intercept value is 0.4368.

Coefficients for the selected NDRs in the trained models (CRC model and

CRC + BRCA model).

CRC model

Feature
Gene
T ranscript
Region
Group
Coefficient

1
SHKBP1
ENST00000599716
junction
blood
0.607

2
ACSL1
ENST00000454703
junction
blood
0.431

3
BCAR1
ENST00000162330
junction
tumor
-0.321

4
RAB25
ENST00000361084
promoter
tumor
-0.213

5
PRTN3
ENST00000234347
promoter
blood
0.062

6
LSR
ENST00000605618
promoter
tumor
-0.174

Columns

Gene: gene name

Transcript: transcript ID

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

Coefficient: value of the regression coefficient. The intercept value is -1.3719.

CRC+BRCA model

Feature
Gene
Transcript
Region
Group
Coefficient

1
SLC11A1
ENST00000465984
promoter
blood
0.150

2
NLRP12
ENST00000324134
promoter
blood
0.181

3
PRTN3
ENST00000234347
promoter
blood
0.124

4
HMBS
ENST00000392841
promoter
blood
0.251

5
LILRB3
ENST00000460208
promoter
blood
0.140

6
ACSL1
ENST00000513001
junction
blood
0.106

7
GP9
ENST00000307395
junction
blood
0.251

8
MX2
ENST00000398632
promoter
blood
0.106

9
RASGRP4
ENST00000615340
promoter
blood
0.222

10
ATG16L2
ENST00000542481
promoter
blood
0.166

Table S5 Observed ctDNA fractions in the LOD analysis for the CRC model.

Sample
Group
Expected ctDNA fraction
Observed ctDNA fraction

1279 221015-0.005
positive
0.0050
0.0015

1279_221015-0.010
positive
0.0100
0.0192

1279_221015-0.015
positive
0.0150
0.0170

1279_221015-0.020
positive
0.0200
0.0246

1279_221015-0.025
positive
0.0250
0.0250

1279_221015-0.030
positive
0.0300
0.0389

1279_221015-0.035
positive
0.0350
0.0426

1279_221015-0.040
positive
0.0400
0.0471

1279
.221015-0.045
positive
0.0450
0.0750

1279
.221015-0.050
positive
0.0500
0.0692

1279
.221015-0.075
positive
0.0750
0.0964

1279
.221015-0.100
positive
0.1000
0.1093

1279
.221015-0.125
positive
0.1250
0.1210

1279
.221015-0.150
positive
0.1500
0.1381

1279
.221015-0.175
positive
0.1750
0.1250

1279
.221015-0.200
positive
0.2000
0.1452

1279.
.221015-0.225
positive
0.2250
0.1590

1279.
.221015-0.250
positive
0.2500
0.2252

1279.
.221015-0.275
positive
0.2750
0.2856

1279.
.221015-0.300
positive
0.3000
0.3152

1279.
.221015-0.325
positive
0.3250
0.3456

1279.
.221015-0.350
positive
0.3500
0.3587

1279.
.221015-0.375
positive
0.3750
0.3994

1279.
.221015-0.400
positive
0.4000
0.4318

1279.
.221015-0.425
positive
0.4250
0.4363

1279.
.221015-0.450
positive
0.4500
0.4634

1279.
.221015-0.475
positive
0.4750
0.4652

1279.
.221015-0.500
positive
0.5000
0.4776

1279.
.241116-0.005
positive
0.0050
0.0033

1279.
.241116-0.010
positive
0.0100
0.0150

1279.
.241116-0.015
positive
0.0150
0.0420

1279.
.241116-0.020
positive
0.0200
0.0368

1279.
.241116-0.025
positive
0.0250
0.0396

1279.
.241116-0.030
positive
0.0300
0.0439

1279.
.241116-0.035
positive
0.0350
0.0439

1279.
.241116-0.040
positive
0.0400
0.0576

1279.
.241116-0.045
positive
0.0450
0.0574

1279.
.241116-0.050
positive
0.0500
0.0692

1279.
.241116-0.075
positive
0.0750
0.0508

1279.
.241116-0.100
positive
0.1000
0.0707

1279.
.241116-0.125
positive
0.1250
0.1357

1279.
.241116-0.150
positive
0.1500
0.1457

1279.
.241116-0.175
positive
0.1750
0.1366

1279.
.241116-0.200
positive
0.2000
0.1632

1279.
.241116-0.225
positive
0.2250
0.2000

1279.
.241116-0.250
positive
0.2500
0.2310

1279.
.241116 0.275
positive
0.2750
0.2914

1279.
.241116-0.300
positive
0.3000
0.3281

1279.
.241116-0.325
positive
0.3250
0.3622

1279.
.241116-0.350
positive
0.3500
0.3690

1279.
.241116-0.375
positive
0.3750
0.3762

1279.
.241116-0.400
positive
0.4000
0.4185

1279.
.241116-0.425
positive
0.4250
0.4311

1279.
.241116-0.450
positive
0.4500
0.4618

1279.
.241116-0.475
positive
0.4750
0.4958

1279.
.241116-0.490
positive
0.4900
0.4937

512_
051015-0.005
positive
0.0050
0.0049

512_051015-0.010
positive
0.0100
0.0077

512 051015-0.015
positive
0.0150
0.0133

512_051015-0.020
positive
0.0200
0.0163

512_051015-0.025
positive
0.0250
0.0235

512_051015-0.030
positive
0.0300
0.0311

512_051015-0.035
positive
0.0350
0.0322

512_051015-0.040
positive
0.0400
0.0330

512_051015-0.045
positive
0.0450
0.0371

512_051015-0.050
positive
0.0500
0.0296

512_051015-0.075
positive
0.0750
0.0388

512_051015-0.100
positive
0.1000
0.0500

512_051015-0.125
positive
0.1250
0.0682

512_051015-0.150
positive
0.1500
0.0881

512_051015-0.175
positive
0.1750
0.0743

512_051015-0.200
positive
0.2000
0.0948

512_051015-0.225
positive
0.2250
0.1386

512_051015-0.250
positive
0.2500
0.1762

512_051015-0.275
positive
0.2750
0.2095

512_051015-0.300
positive
0.3000
0.2319

51 2051 015-0.325
positive
0.3250
0.2451

512_051015-0.350
positive
0.3500
0.2761

512_051015-0.375
positive
0.3750
0.2971

512_051015-0.400
positive
0.4000
0.3063

512_051015-0.425
positive
0.4250
0.3056

512_051015-0.450
positive
0.4500
0.3568

512_051015-0.475
positive
0.4750
0.4021

512_051015-0.500
positive
0.5000
0.4009

512_051015-0.525
positive
0.5250
0.4008

512_051015-0.550
positive
0.5500
0.4460

512_051015-0.575
positive
0.5750
0.4464

512_051015-0.600
positive
0.6000
0.4736

512_051015-0.614
positive
0.6140
0.4474

512_130114-0.005
positive
0.0050
0.0136

512_130114-0.010
positive
0.0100
0.0167

512_130114-0.015
positive
0.0150
0.0198

512_130114-0.020
positive
0.0200
0.0363

512_130114-0.025
positive
0.0250
0.0352

512_130114-0.030
positive
0.0300
0.0402

512_130114 0.035
positive
0.0350
0.0285

512_130114-0.040
positive
0.0400
0.0309

512_130114-0.045
positive
0.0450
0.0374

512_130114-0.050
positive
0.0500
0.0406

512_130114-0.075
positive
0.0750
0.0492

512_130114-0.100
positive
0.1000
0.0904

512_130114-0.125
positive
0.1250
0.1008

512_130114-0.150
positive
0.1500
0.1432

512 130114-0.175
positive
0.1750
0.2025

512_130114-0.200
positive
0.2000
0.2242

512_130114-0.225
positive
0.2250
0.2376

512_130114-0.250
positive
0.2500
0.2570

512_130114-0.275
positive
0.2750
0.3262

512_130114-0.300
positive
0.3000
0.3659

512_130114-0.325
positive
0.3250
0.3947

512_130114-0.350
positive
0.3500
0.4564

512_130114-0.375
positive
0.3750
0.4838

512_130114-0.394
positive
0.3940
0.4822

sub-healthy-1
negative
0.0000
0.0000

sub-healthy-2
negative
0.0000
0.0024

sub-healthy-3
negative
0.0000
0.0001

sub-healthy-4
negative
0.0000
0.0005

sub-healthy-5
negative
0.0000
0.0000

sub-healthy-6
negative
0.0000
0.0162

sub-healthy-7
negative
0.0000
0.0065

sub-healthy-8
negative
0.0000
0.0000

sub-healthy-9
negative
0.0000
0.0084

sub-healthy-10
negative
0.0000
0.0071

sub-healthy-11
negative
0.0000
0.0000

sub-healthy-12
negative
0.0000
0.0124

sub-healthy-13
negative
0.0000
0.0013

sub-healthy-14
negative
0.0000
0.0118

sub-healthy-15
negative
0.0000
0.0109

sub-healthy-16
negative
0.0000
0.0069

sub-healthy-17
negative
0.0000
0.0116

sub-healthy-18
negative
0.0000
0.0076

sub-healthy-19
negative
0.0000
0.0049

sub-healthy-20
negative
0.0000
0.0000

sub-healthy-21
negative
0.0000
0.0000

sub-healthy-22
negative
0.0000
0.0095

sub-healthy-23
negative
0.0000
0.0106

sub-healthy-24
negative
0.0000
0.0121

sub-healthy-25
negative
0.0000
0.0085

sub-healthy-26
negative
0.0000
0.0000

sub-healthy-27
negative
0.0000
0.0176

sub-healthy-28
negative
0.0000
0.0099

sub-healthy-29
negative
0.0000
0.0000

sub-healthy-30
negative
0.0000
0.0076

sub-healthy-31
negative
0.0000
0.0002

sub-healthy-32
negative
0.0000
0.0076

sub-healthy-33
negative
0.0000
0.0078

sub-healthy-34
negative
0.0000
0.0071

sub-healthy-35
negative
0.0000
0.0077

sub-healthy-36
negative
0.0000
0.0110

sub-healthy-37
negative
0.0000
0.0074

sub-healthy-38
negative
0.0000
0.0000

sub-healthy-39
negative
0.0000
0.0000

sub-healthy-40
negative
0.0000
0.0105

TABLE S6

CRC plasma samples for Ip-WGS and targeted sequencing.

icharCNA-

NDR-

sample
patient
sample
cancer
Ip-WGS
estimated

estimated

name
ID
ID
type
coverage
ctDNA content
max VAF
ctDNA content

069_020913
69
CRC-13
CRC
1.97
0.00
undetected
0.00

069_310316
69
CRC-14
CRC
7.01
0.09
undetected
0.08

095_100913
95
CRC-15
CRC
5.77
0.38
0.54
0.37

095_150513
95
CRC-16
CRC
6.18
0.43
0.55
0.47

1014_140616
1014
CRC-17
CRC
1.82
0.39
0.56
0.38

1176_040815
1176
CRC-18
CRC
2.96
0.05
undetected
0.21

1176_111116
1176
CRC-19
CRC
1.35
0.00
undetected
0.06

1176_240715
1176
CRC-20
CRC
1.27
0.00
0.11
0.06

1179_160316
1179
CRC-21
CRC
1.96
0.16
0.29
0.25

1179_270715
1179
CRC-22
CRC
3.78
0.18
0.20
0.34

1429_141116
1429
CRC-23
CRC
0.42
0.20
undetected
0.08

1429_170316
1429
CRC-24
CRC
5.83
0.39
0.36
0.36

1490_050516
1490
CRC-25
CRC
2.12
0.49
0.72
0.49

1490_171116
1490
CRC-26
CRC
2.08
0.00
undetected
0.33

149_100613
149
CRC-27
CRC
2.43
0.00
undetected
0.19

149_130214
149
CRC-28
CRC
3.72
0.05
undetected
0.18

1531_010716
1531
CRC-29
CRC
1.38
0.48
0.77
0.49

1531_111016
1531
CRC-30
CRC
4.23
0.00
undetected
0.07

1531_111116
1531
CRC-31
CRC
1.93
0.00
undetected
0.00

330_091115
330
CRC-32
CRC
5.93
0.23
0.38
0.25

330_170414
330
CRC-33
CRC
6.93
0.00
undetected
0.00

357_110716
357
CRC-34
CRC
3.48
0.51
0.56
0.49

357_230913
357
CRC-35
CRC
2.06
0.00
undetected
0.11

357_290216
357
CRC-36
CRC
4.28
0.57
0.49
0.39

357_291015
357
CRC-37
CRC
5.94
0.37
0.29
0.38

375_021116
375
CRC-38
CRC
3.13
0.00
undetected
0.10

375_210115
375
CRC-39
CRC
2.90
0.00
undetected
0.17

386_091214
386
CRC-40
CRC
0.70
0.09
0.22
0.21

386_180516
386
CRC-41
CRC
3.86
0.32
0.49
0.38

476_050916
476
CRC-42
CRC
1.09
0.11
0.19
0.09

476_110315
476
CRC-43
CRC
3.32
0.12
0.27
0.20

519_020715
519
CRC-44
CRC
6.30
0.15
0.17
0.29

519_140116
519
CRC-45
CRC
2.31
0.06
undetected
0.14

519_240314
519
CRC-46
CRC
4.88
0.29
0.51
0.33

571_261114
571
CRC-47
CRC
2.64
0.00
undetected
0.06

571_291015
571
CRC-48
CRC
2.07
0.05
undetected
0.15

575_191015
575
CRC-49
CRC
2.63
0.11
0.12
0.10

575_270214
575
CRC-50
CRC
1.40
0.19
0.11
0.18

575_270516
575
CRC-51
CRC
2.13
0.00
0.11
0.11

575_270616
575
CRC-52
CRC
6.88
0.05
undetected
0.21

592_171116
592
CRC-53
CRC
2.42
0.00
undetected
0.08

592_280316
592
CRC-54
CRC
3.01
0.00
undetected
0.09

741_091116
741
CRC-55
CRC
1.50
0.00
undetected
0.07

741_150415
741
CRC-56
CRC
4.26
0.00
undetected
0.10

834_090715
834
CRC-57
CRC
2.71
0.00
undetected
0.00

834_241116
834
CRC-58
CRC
4.41
0.13
undetected
0.09

836_090415
836
CRC-59
CRC
1.27
0.00
undetected
0.04

836_090715
836
CRC-60
CRC
4.39
0.00
undetected
0.17

836_180416
836
CRC-61
CRC
4.23
0.39
0.25
0.22

897_200815
897
CRC-62
CRC
6.55
0.34
0.47
0.26

897_220316
897
CRC-63
CRC
8.03
0.07
0.16
0.07

986_060315
986
CRC-64
CRC
6.37
0.19
0.19
0.31

986_260916
986
CRC-65
CRC
4.52
0.28
0.73
0.47

TABLE S7

A panel of 100 genes frequently mutated

in colorectal and breast cancer.

ABL1

ACVR2A

AKT1

ALK

APC

ARID1A

ATM

ATR

AURKA

B2M

BCL9L

BRAF

BRCA1

BRCA2

CALR

CANX

CDH1

CDKN1B

CDKN2A

CHD4

CSF1R

CTCF

CTNNB1

DCC

DDR2

DMD

DOT1L

EGFR

EP300

ERBB2

ERBB3

ERBB4

ESR1

EZH2

FBXW7

FGFR1

FGFR2

FGFR3

FLT3

GATA3

GNA11

GNAQ

GNAS

HLA-A

HNF1A

HRAS

HSPA5

IDH1

IDH2

JAK1

JAK2

JAK3

KDR

KIT

KMT2C

KRAS

MAGI3

MAP2K1

MAP2K4

MAP3K1

MDM2

MDM4

MET

MLH1

MPL

MTOR

MUC17

NF1

NOTCH1

NOTCH4

NPM1

NRAS

PDGFRA

PDIA3

PIK3CA

PIK3R1

POLD1

POLD2

POLE

PTEN

PTPN11

RB1

RBM10

RET

RNF43

SMAD2

SMAD4

SMARCB1

SMO

SOX9

SRC

STK11

TAP1

TAPBP

TP53

TSC1

TSC2

VHL

ZFP36L2

ZNRF3

TABLE S8

Variant allele frequency estimation of CRC plasma samples.

Pos

Sample
Chr
(GRCh38)
Ref
Alt
Codon
AA
Gene

T095_100913
chr12
25245350
C
T
gGt/gAt
G/D
ENSG00000133703

T095_100913
chr17
72124084
—
+C
—/C
—/X
ENSG00000125398

T095_100913
chr17
7674230
C
T
Ggc/Agc
G/S
ENSG00000141510

T095_150513
chr12
25245350
C
T
gGt/gAt
G/D
ENSG00000133703

T095_150513
chr17
72124084
—
+C
—/C
—/X
ENSG00000125398

T095_150513
chr17
7674230
C
T
Ggc/Agc
G/S
ENSG00000141510

T1014_110115
chr2
147926116-
—
−A
Aaa/aa
K/X
ENSG00000121989

7

T1014_140616
chr14
104773077
C
A
Gac/Tac
D/Y
ENSG00000142208

T1014_140616
chr17
72122793
A
T
cAc/cTc
H/L
ENSG00000125398

T1014_140616
chr5
112839783
G
T
Gag/Tag
E/*
ENSG00000134982

T1014_180816
chr14
104773077
C
A
Gac/Tac
D/Y
ENSG00000142208

T1014_180816
chr17
72122793
A
T
cAc/cTc
H/L
ENSG00000125398

T1014_180816
chr5
112839783
G
T
Gag/Tag
E/*
ENSG00000134982

T1176_240715
chr3
142555897-
—
−T
Ata/ta
I/X
ENSG00000175054

8

T1179_160316
chr12
25245351
C
A
Ggt/Tgt
G/C
ENSG00000133703

T1179_160316
chr17
7674250
C
A
tGt/tTt
C/F
ENSG00000141510

T1179_160316
chr4
152329715
G
T
tCt/At
S/Y
ENSG00000109670

T1179_160316
chr5
112839826-
—
−T
agT/ag
S/X
ENSG00000134982

7

T1179_270715
chr12
25245351
C
A
Ggt/Tgt
G/C
ENSG00000133703

T1179_270715
chr17
7674250
C
A
tGt/tTt
C/F
ENSG00000141510

T1179_270715
chr5
112839826-
—
−T
agT/ag
S/X
ENSG00000134982

7

T1279_221015
chr10
87933148
G
A
cGa/cAa
R/Q
ENSG00000171862

T1279_221015
chr6
112839240
G
T
Gag/Tag
E/*
ENSG00000134982

T1279_241116
chr10
87933148
G
A
cGa/cAa
R/Q
ENSG00000171862

T1279_241116
chr5
112839240
G
T
Gag/Tag
E/*
ENSG00000134982

T1429_141116
chr1
114716126
C
T
gGt/gAt
G/D
ENSG00000213281

T1429_141116
chr11
108297326
A
G
aAt/aGt
N/S
ENSG00000149311

T1429_141116
chr12
132641691
G
A
gcC/gcT
A
ENSG00000177084

T1429_141116
chr12
6581743
C
T
aaG/aaA
K
ENSG00000111642

T1429_141116
chr13
32332343
A
C
Aat/Cat
N/H
ENSG00000139618

T1429_141116
chr13
32332843
A
G
tcA/tcG
S
ENSG00000139618

T1429_141116
chr13
32336584
T
C
caT/caC
H
ENSG00000139618

T1429_141116
chr13
32337326
A
G
Aac/Gac
N/D
ENSG00000139618

T1429_141116
chr17
43071077
T
C
Agt/Ggt
S/G
ENSG00000012048

T1429_141116
chr17
43082453
A
G
tcT/tcC
S
ENSG00000012048

T1429_141116
chr17
43091983
T
C
aAa/aGa
K/R
ENSG00000012048

T1429_141116
chr17
43092418
T
C
gAa/gGa
E/G
ENSG00000012048

T1429_141116
chr17
43093220
A
G
Ttg/Ctg
L
ENSG00000012048

T1429_141116
chr17
43093449
G
A
agC/agT
S
ENSG00000012048

T1429_141116
chr17
58362569
C
T
cGg/cAg
R/Q
ENSG00000108375

T1429_141116
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T1429_141116
chr4
54736599
G
C
ctG/ctC
L
ENSG00000157404

T1429_141116
chr4
55113321
G
A
aCa/aTa
T/I
ENSG00000128052

T1429_141116
chr6
32221046
G
A
tCg/tTg
S/L
ENSG00000204301

T1429_141116
chr6
32847198
T
C
gAt/gGc
D/G
ENSG00000168394

T1429_170316
chr1
114713908
T
A
cAa/cTa
Q/L
ENSG00000213281

T1429_170316
chr10
8058488
C
T
tCg/tTg
S/L
ENSG00000107485

T1429_170316
chr16
68815631
T
C
gaT/gaC
D
ENSG00000039068

T1429_170316
chr17
7674230
C
T
Ggc/Agc
G/S
ENSG00000141510

T1429_170316
chr22
29049985
C
T
Cgg/Tgg
R/W
ENSG00000183579

T1429_170316
chr5
112792446
C
T
Cga/Tga
R/*
ENSG00000134982

T1490_050516
chr1
11240392
G
A
gCc/gTc
A/V
ENSG00000198793

T1490_050516
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T1490_050516
chr19
2226938
C
T
Cag/Tag
Q/*
ENSG00000104885

T1490_050516
chr4
55118645
C
T
cGg/cAg
R/Q
ENSG00000128052

T1490_050516
chr5
112838070
—
+TGAATACTACA
ttg/tTGAATACTACAtg
L/LNTTX
ENSG00000134982

T1490_050516
chr5
112839474
C
T
Cag/Tag
Q/*
ENSG00000134982

T1531_010716
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T1531_010716
chr2
43224452
T
G
gAc/gCc
D/A
ENSG00000152518

T1531_010716
chr5
112839439
C
A
tCa/tAa
S/*
ENSG00000134982

T1531_160616
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T1531_160616
chr5
112839439
C
A
tCa/tAa
S/*
ENSG00000134982

T330_091115
chr11
118908483
—
+G
—/C
—/X
ENSG00000186174

T330_091115
chr19
50409156
G
A
Gcg/Agc
G/R
ENSG00000062822

T330_091115
chr4
152326137
G
A
Cgc/Tgc
R/C
ENSG00000109670

T330_091115
chr5
112839576
C
T
Cag/Tag
Q/*
ENSG00000134S82

T330_091115
chr5
150089316
C
T
Gtg/Atg
V/M
ENSG00000182578

T357_110716
chr12
25245350
C
T
gGt/gAt
G/D
ENSG00000133703

T357_110716
chr13
32362670
G
T
agG/agT
R/S
ENSG00000139618

T357_110716
chr17
7674945
G
A
Cga/Tga
R/*
ENSG00000141510

T357_110716
chr2
211657762
T
G
caA/caC
Q/H
ENSG00000178568

T357_110716
chr2
43224819-
—
−CGCGGCCGCCGCGGAGG
gCCTCCGCGGCGGCCGCG/g
ASAAAA/X
ENSG00000152518

36

T357_290216
chr12
25245350
C
T
gCt/gAt
G/D
ENSG00000133703

T357_290216
chr13
32362670
G
T
agG/agT
R/S
ENSG00000139618

T357_290216
chr17
7674945
G
A
Cga/Tga
R/*
ENSG00000141510

T357_290216
chr2
211657762
T
G
caA/caC
Q/H
ENSG00000178568

T357_290216
chr2
43224819-
—
−CGCGGCCGCCGCGGAGG
gCCTCCGCGGCGGCCGCG/g
ASAAAA/X
ENSG00000152518

36

T357_291015
chr12
25245350
G
T
gGt/gAt
G/D
ENSG00000133703

T357_291015
chr13
32362670
G
T
agG/agT
R/S
ENSG00000139618

T357_291015
chr17
7574945
G
A
Cga/Tga
R/*
ENSG00000141510

T357_291015
chr2
211657762
T
G
caA/caC
Q/H
ENSG00000178568

T357_291015
chr2
43224819-
—
−CGCGGCCGCCGCGGAGG
gCCTCCGCGGCGGCCGCG/g
ASAAAA/X
ENSG00000152518

36

T386_091214
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T386_091214
chr3
179218307
A
C
cAg/cCg
Q/P
ENSG00000121879

T386_091214
chr5
112837893
C
T
Cag/Tag
Q/*
ENSG00000134982

T386_091214
chrX
33020185
A
G
gTt/gCt
V/A
ENSG00000198947

T386_180516
chr10
121503937
G
C
tCg/tGg
S/W
ENSG00000066468

T386_180516
chr12
112504716
A
T
agA/agT
R/S
ENSG00000179295

T386_180516
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T386_180516
chr3
179218307
A
C
cAg/cCg
Q/P
ENSG00000121879

T386_180516
chr5
112837893
C
T
Cag/Tag
Q/*
ENSG00000134982

T386_180516
chr5
112839543
G
T
Gaa/Taa
E/*
ENSG00000134982

T386_180516
chr8
38421931
A
T
gTt/gAt
V/D
ENSG00000077782

T386_180516
chrX
33020185
A
G
gTt/gCt
V/A
ENSG00000198947

T476_050916
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T476_050916
chr2
43225692
—
+C
—/G
—/X
ENSG00000152518

T476_110315
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T476_110315
chr2
43225692
—
+C
—/G
—/X
ENSG00000152518

T476_110315
chr3
179221102
A
T
aAg/aTg
K/M
ENSG00000121879

T512_051015
chr15
43768557
A
C
aAg/aCg
K/T
ENSG00000167004

T512_051015
chr18
51065534
C
T
cCt/cTt
P/L
ENSG00000141646

T512_051015
chr5
112839729
G
T
Gag/Tag
E/*
ENSG00000134982

T512_130114
chr18
51065534
C
T
cCt/cTt
P/L
ENSG00000141646

T512_130114
chr5
112839729
G
T
Gag/Tag
E/*
ENSG00000134982

T519_020715
chr17
7673803
G
A
Cgt/Tgt
R/C
ENSG00000141510

T519_210114
chr17
7673803
G
A
Cgt/Tgt
R/C
ENSG00000141510

T519_210114
chr20
58903555
C
A
gaC/gaA
D/E
ENSG00000087460

T519_210114
chr5
112839465
C
T
Cag/Tag
Q/*
ENSG00000134982

T519_210114
chr5
56871965
G
T
Gaa/Taa
E/*
ENSG00000095015

T519_240314
chr17
7673803
G
A
Cgt/Tgt
R/C
ENSG00000141510

T519_240314
chr20
58903555
C
A
gaC/gaA
D/E
ENSG00000087460

T519_240314
chr5
112839465
C
T
Cag/Tag
Q/*
ENSG00000134982

T519_240314
chr5
56871965
G
T
Gaa/Taa
E/*
ENSG00000095015

T575_191015
chr17
7673811
A
G
tTt/tCt
F/S
ENSG00000141510

T575_191015
chr3
142555897-
—
−T
Ata/ta
I/X
ENSG00000175054

8

T575_270214
chr17
7673811
A
G
tTt/tCt
F/S
ENSG00000141510

T575_270516
chr3
142555897-
—
−T
Ata/ta
I/K
ENSG00000175054

8

T809_030915
chr1
64869346
C
A
aaG/aaT
K/N
ENSG00000162434

T809_030915
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T809_030915
chr5
112839693
C
T
Cag/Tag
Q/*
ENSG00000134982

T809_110914
chr1
64869346
C
A
aaG/aaT
K/N
ENSG00000162434

T809_110914
chr17
7675088
C
T
cGc/cAc
R/H
ENSG00000141510

T809_110914
chr5
112839693
C
T
Cag/Tag
Q/*
ENSG00000134982

T836_180416
chr17
7674939
C
A
Gaa/Taa
E/*
ENSG00000141510

T836_180416
chr5
112839474
C
T
Cag/Tag
Q/*
ENSG00000134982

T897_200815
chr12
25245347
C
T
gGc/gAc
G/D
ENSG00000133703

T897_200815
chr17
72124097
—
+CG
tcg/tCGcg
S/SX
ENSG00000125398

T897_200815
chr17
7675067-
—
−A
Tgc/gc
C/X
ENSG00000141510

8

T897_200815
chr18
51065549
G
A
cGc/cAc
R/H
ENSG00000141646

T897_200815
chr18
51078286
A
T
gAt/gTt
D/V
ENSG00000141646

T897_200815
chr22
29050710
C
T
ccC/ccT
P
ENSG00000183579

T897_200815
chr3
179199088
G
A
cGa/cAa
R/Q
ENSG00000121879

T897_200815
chr4
162329695-
—
−T
aaA/aa
K/X
ENSG00000109670

8

T897_200815
chr5
112839714
G
T
Gaa/Taa
E/*
ENSG00000134982

T897_220316
chr5
112839714
G
T
Gaa/Taa
E/*
ENSG00000134982

T986_060315
chr17
7675076
T
C
cAt/cGt
H/R
ENSG00000141510

T986_060315
chr3
179218304
A
G
gAg/gGg
E/G
ENSG00000121879

T986_060315
chr5
112792446
C
T
Cga/Tga
R/*
ENSG00000134982

T986_100215
chr17
7675076
T
C
cAt/cGt
H/R
ENSG00000141510

T986_100215
chr3
179218304
A
G
gAg/gGg
E/G
ENSG00000121879

T886_100215
chr5
112792446
C
T
Cga/Tga
R/*
ENSG00000134982

T986_260916
chr17
72123617
—
+GA
cga/cGAga
R/RX
ENSG00000125398

T986_260916
chr17
7675076
T
C
cA/cGt
H/R
ENSG00000141510

T986_260916
chr3
179218304
A
G
gAg/gGg
E/G
ENSG00000121879

T986_260916
chr5
112792446
C
T
Cga/Tga
R/*
ENSG00000134982

T986_261016
chr17
72123617
—
+GA
cga/cGAga
R/RX
ENSG00000125398

T986_261016
chr17
7675076
T
C
cAt/cGt
H/R
ENSG00000141510

T986_261016
chr3
178218304
A
G
gAg/gGg
E/G
ENSG00000121879

T986_261016
chr5
112732446
C
T
Cga/Tga
R/*
ENSG00000134982

T986_261016
chr7
55165435
C
T
taC/taT
Y
ENSG00000416648

Symbol/

mutect_VAF
varscan_VAF
mutect_VAF
varscan_VAF

Sample
Gene
Feature
Exon
Tumour
Tumour
Normal
Normal
MedianVAF

T095_100913
KRAS
ENST00000256078
2/6
0.211
0.212
0
0
0.2115

T095_100913
SOX9
ENST00000245479
3/3

0.202

0
0.202

T095_100913
TP53
ENST00000269305
7/11
0.539

0

0.539

T095_150513
KRAS
ENST00000256078
2/6
0.234
0.221
0
0
0.2275

T095_150513
SOX9
ENST00000245479
3/3

0.187

0
0.187

T095_150513
TP53
ENST00000269305
7/11
0.553

0

0.553

T1014_110115
ACVR2A
ENST00000241416
10/11

0.285

0.006
0.286

T1014_140616
AKT1
ENST00000554581
10/13
0.199
0.199
0
0
0.199

T1014_140616
SOX9
ENST00000245479
2/3
0.367

0

0.367

T1014_140616
ARC
ENST00000257430
16/16
0.559

0

0.559

T1014_180816
AKT1
ENST00000554581
10/13
0.246
0.256
0
0
0.251

T1014_180816
SOX9
ENST00000245479
2/3
0.305
0.284
0
0
0.2945

T1014_180816
APC
ENST00000257430
16/16
0.458

0.002

0.458

T1176_240715
ATR
ENST00000350721
10/47

0.108

0.037
0.108

T1179_160316
KRAS
ENST00000256076
2/6
0.289
0.288
0.001
0
0.2885

T1179_160316
TP53
ENST00000269305
7/11
0.275
0.265
0
0.001
0.27

T1179_160316
FBXW7
ENST00000281708
8/12
0.119
0.104
0
0
0.1115

T1179_160316
APC
ENST00000257430
16/16

0.241

0.001
0.241

T1179_270715
KRAS
ENST00000256078
2/6
0.203
0.198
0.001
0
0.2005

T1179_270715
TP53
ENST00000269305
7/11
0.14
0.143
0
0.001
0.1415

T1179_270715
APC
ENST00000257430
16/16

0.185

0.001
0.185

T1279_221015
PTEN
ENST00000371953
5/9
0.515

0

0.615

T1279_221015
APC
ENST00000257430
16/16
0.54

0.001

0.64

T1279_241116
PTEN
ENST00000371953
5/9
0.378

0

0.378

T1279_241116
APC
ENST00000257430
16/16
0.447

0.001

0.447

T1429_141116
NRAS
ENST00000369535
2/7
0.108
0.135
0
0
0.1215

T1429_141116
ATM
ENST00000278616
33/63
0.465

0

0.465

T1429_141116
POLE
ENST00000320574
39/49
0.547

0

0.547

T1429_141116
CHD4
ENST00000357008
31/40
0.46

0.001

0.45

T1429_141116
BRCA2
ENST00000380152
10/27
0.403

0

0.403

T1429_141116
BRCA2
ENST00000380152
10/27
0.41

0

0.41

T1429_141116
BRCA2
ENST00000380152
11/27
0.465

0

0.465

T1429_141116
BRCA2
ENST00000380152
11/27
0.451

0

0.451

T1429_141116
BRCA1
ENST00000471181
16/24
0.521

0.001

0.621

T1429_141116
BRCA1
ENST00000471181
12/24
0.456

0

0.456

T1429_141116
BRCA1
ENST00000471181
10/24
0.495

0.001

0.495

T1429_141116
BRCA1
ENST00000471181
10/24
0.461

0.002

0.461

T1429_141116
BRCA1
ENST00000471181
10/24
0.489

0.001

0.489

T1429_141116
BRCA1
ENST00000471181
10/24
0.483

0.001

0.483

T1429_141116
RNF43
ENST00000584437
5/9
0.435

0.001

0.435

T1429_141116
TP53
ENST00000269305
5/11

0.109

0.001
0.109

T1429_141116
KIT
ENST00000288135
18/21
0.443

0

0.443

T1429_141116
KDR
ENST00000263923
7/30
0.479

0

0.479

T1429_141116
NOTCH4
ENST00000375023
4/30
0.35
0.341
0
0
0.3455

T1429_141116
TAP1
ENST00000354258
10/11
0.661

0.001

0.661

T1429_170316
NRAS
ENST00000369535
3/7
0.348
0.322
0
0
0.335

T1429_170316
GATA3
ENST00000379328
3/6
0.2
0.199
0
0
0.1995

T1429_170316
CDH1
ENST00000261769
10/16
0.357

0.001

0.357

T1429_170316
TP53
ENST00000269305
7/11
0.345
0.341
0
0
0.343

T1429_170316
ZNRF3
ENST00000544604
8/9
0.233
0.232
0
0.001
0.2325

T1429_170316
APC
ENST00000267430
7/16
0.268
0.231
0
0
0.2495

T1490_050516
MTOR
ENST00000361445
11/58
0.164
0.145
0
0
0.1545

T1490_050516
TP53
ENST00000269305
5/11
0.719

0

0.719

T1490_050516
DOT1L
ENST00000398665
27/28
0.24
0.267
0.001
0
0.2535

T1490_050516
KDR
ENST00000263923
3/30
0.362

0

0.362

T1490_050516
APC
ENST00000257430
16/16

0.185

0
0.185

T1490_050516
APC
ENST00000257430
16/16
0.526

0

0.526

T1531_010716
TP53
ENST00000269305
5/11
0.747

0.001

0.747

T1531_010716
ZFP36L2
ENST00000282388
2/2

0.309

0
0.309

T1531_010716
APC
ENST00000257430
16/16
0.77

0

0.77

T1531_160616
TP53
ENST00000269305
6/11
0.788

0

0.788

T1531_160616
APC
ENST00000257430
16/16
0.79

0

0.79

T330_091115
BCL9L
ENST00000334801
2/8

0.224

0
0.224

T330_091115
POLD1
ENST00000440232
16/27
0.259
0.256
0
0
0.2575

T330_091115
FBXW7
ENST00000281708
10/12
0.382

0

0.382

T330_091115
APC
ENST00000267430
16/16
0.366

0

0.366

T330_091115
CSF1R
ENST00000286301
4/22
0.169
0.161
0.001
0
0.165

T357_110716
KRAS
ENST00000256078
2/6
0.496

0

0.496

T357_110716
BRCA2
ENST00000380152
17/27
0.233
0.256
0
0
0.2445

T357_110716
TP53
ENST00000269305
6/11
0.56

0

0.56

T357_110716
ER884
ENST00000342788
16/28

0.172

0.001
0.172

T357_110716
ZFP36L2
ENST00000282388
2/2

0.324

0.001
0.324

T357_290216
KRAS
ENST00000256078
2/6
0.494

0

0.494

T357_290216
BRCA2
ENST00000380152
17/27
0.181
0.174
0
0
0.1775

T357_290216
TP53
ENST00000269305
6/11
0.488

0

0.488

T357_290216
ER884
ENST00000342788
16/28

0.142

0.001
0.142

T357_290216
2FP36L2
ENST00000282388
2/2

0.271

0.001
0.271

T357_291015
KRAS
ENST00000256078
2/6
0.291
0.297
0
0
0.294

T357_291015
BRCA2
ENST00000360152
17/27
0.132
0.135
0
0
0.1335

T357_291015
TP53
ENST00000269305
6/11
0.247
0.248
0
0
0.2475

T357_291015
ER884
ENST00000342788
16/28

0.106

0.001
0.106

T357_291015
ZFP36L2
ENST00000282388
2/2

0.17

0.001
0.17

T386_091214
TP53
ENST00000269305
5/11
0.228
0.218
0.001
0.001
0.223

T386_091214
PIK3CA
ENST00000263967
10/21
0.154
0.15
0.001
0.001
0.152

T386_091214
APC
ENST00000257430
16/16
0.111
0.11
0.001
0
0.1105

T386_091214
DMD
ENST00000357033
2/79
0.11
0.113
0
0
0.1115

T386_180516
FGFR2
ENST00000457416
10/18
0.135
0.177
0
0
0.156

T386_180516
PTPN11
ENST00000351677
15/16
0.223
0.236
0
0
0.2295

T386_180516
TP53
ENST00000269305
5/11
0.484

0.001

0.494

T386_180516
PIK3CA
ENST00000263967
10/21
0.384

0.001

0.384

T386_180516
APC
ENST00000257430
16/16
0.292
0.288
0.001
0
0.29

T386_180516
APC
ENST00000257430
16/16
0.23
0.244
0
0
0.237

T386_180516
FGFR1
ENST00000425967
9/19
0.188
0.192
0
0
0.19

T386_180516
DMD
ENST00000357033
2/79
0.274
0.308
0
0
0.291

T476_050916
TP53
ENST00000269305
5/11
0.183
0.195
0
0.001
0.189

T476_050916
ZFP36L2
ENST00000282388
2/2

0.176

0
0.176

T476_110315
TP53
ENST00000269305
5/11
0.243
0.264
0
0.001
0.2535

T476_110315
ZFP36L2
ENST00000282388
2/2

0.272

0
0.272

T476_110315
PIK3CA
ENST00000263967
14/21
0.12
0.113
0
0
0.1165

T512_051015
PDIA3
ENST00000300289
9/13
0.095
0.104
0
0
0.0995

T512_051015
SMAD4
ENST00000342988
9/12
0.614

0

0.614

T512_051015
APC
ENST00000257430
16/16
0.684

0

0.684

T512_130114
SMAD4
ENST00000342988
9/12
0.371

0

0.371

T512_130114
APC
ENST00000257430
16/16
0.464

0

0.464

T519_020715
TP53
ENST00000269305
8/11
0.173
0.166
0
0
0.1695

T519_210114
TP53
ENST00000269305
8/11
0.43

0

0.43

T519_210114
GNAS
ENST00000371100
4/13
0.111
0.12
0
0
0.1155

T519_210114
APC
ENST00000257430
16/16
0.195
0.189
0
0.001
0.192

T519_210114
MAP3K1
ENST00000399503
7/20
0.192
0.194
0
0
0.193

T519_240314
TP53
ENST00000269305
8/11
0.513

0

0.613

T519_240314
GNAS
ENST00000371100
4/13
0.12
0.109
0
0
0.1145

T519_240314
APC
ENST00000257430
16/16
0.215
0.223
0
0.001
0.219

T519_240314
MAP3K1
ENST00000399503
7/20
0.205
0.206
0
0
0.205

T575_191015
TP53
ENST00000269305
8/11
0.104
0.103
0.001
0
0.1035

T575_191015
ATR
ENST00000350721
10/47

0.116

0.028
0.116

T575_270214
TP53
ENST00000269305
8/11
0.109
0.107
0.001
0
0.108

T575_270516
ATR
ENST00000359721
10/47

0.109

0.028
0.109

T809_030915
JAK1
ENST00000342505
6/25
0.123
0.135
0
0
0.129

T809_030915
TP53
ENST00000269305
5/11
0.544

0

0.544

T809_030915
APC
ENST00000257430
16/16
0.542

0.001

0.542

T809_110914
JAK1
ENST00000342505
5/25
0.186
0.172
0
0
0.179

T809_110914
TP53
ENST00000269305
5/11
0.727

0

0.727

T809_110914
APC
ENST00000257430
16/16
0.744

0.001

0.744

T836_180416
TP53
ENST00000269305
6/11
0.224
0.222
0
0
0.223

T836_180416
APC
ENST00000257430
16/16
0.248
0.259
0
0
0.2535

T897_200815
KRAS
ENST00000256078
2/6
0.171
0.17
0
0
0.1705

T897_200815
SOX9
ENST00000245479
3/3

0.213

0
0.213

T897_200815
TP53
ENST00000269305
5/11

0.327

0.001
0.327

T897_200815
SMAD4
ENST00000342988
9/12
0.128
0.116
0
0.001
0.122

T897_200815
SMAD4
ENST00000342988
12/12
0.236
0.229
0.001
0
0.2325

T897_200815
ZNRF3
ENST00000544604
8/9
0.204
0.229
0
0
0.2165

T897_200815
PIK3CA
ENST00000263967
2/21
0.286
0.304
0
0.001
0.296

T897_200815
FBXW7
ENST00000281708
8/12

0.214

0
0.214

T897_200815
APC
ENST00000257430
16/16
0.467

0

0.467

T897_220316
APC
ENST00000257430
16/16
0.173
0.156
0
0.001
0.1646

T986_060315
TP53
ENST00000269305
5/11
0.189
0.198
0.001
0.001
0.1936

T986_060315
PIK3CA
ENST00000263967
10/21
0.164
0.186
0
0
0.175

T986_060315
APC
ENST00000257430
7/16
0.102
0.107
0
0.001
0.1046

T986_100215
TP53
ENST00000269306
5/11
0.306
0.316
0.001
0.001
0.31

T986_100215
PIK3CA
ENST00000263967
10/21
0.232
0.222
0
0
0.227

T886_100215
APC
ENST00000257430
7/16
0.179
0.174
0
0.001
0.1765

T986_260916
SOX9
ENST00000245479
3/3

0.311

0.001
0.311

T986_260916
TP53
ENST00000269305
5/11
0.726

0.001

0.726

T986_260916
PIK3CA
ENST00000263967
10/21
0.65

0

0.65

T986_260916
APC
ENST00000257430
7/16
0.559

0

0.569

T986_261016
SOX9
ENST00000245479
3/3

0.206

0.001
0.208

T986_261016
TP53
ENST00000269305
5/11
0.413

0.001

0.413

T986_261016
PIK3CA
ENST00000263967
10/21
0.361

0

0.351

T986_261016
APC
ENST00000257430
7/16
0.261
0.268
0
0.001
0.2645

T986_261016
EGFR
ENST00000275493
15/28
0.164
0.164
0
0
0.1625

TABLE S9

Mutations missed by the callers for the CRC patients with serial plasma samples.

ctDNA
ctDNA

Pos

Symbol/
VAF-
VAF-
VAF-
detection -
detection -

Patient
Sample
Day
chr
(GRCh38)
Ref
Alt
Gene
Mutect
Varscan
manual
ichorCNA
NDR

357
357_230913
34
chr13
32362670
G
T
BRCA2
undetected
undetected
0
negative
positive

chr2
211657762
T
G
ERB84
undetected
undetected
0

chr12
25245350
C
T
KRAS
undetected
undetected
0.0105

chr17
7674945
G
A
TP53
undetected
undetected
0

chr2
43224819-36
—
—
ZFP36L2
undetected
undetected
0

CGCGGC

CGCCGC

GGAGG

1531
1531_111016
160
chr5
112839439
C
A
APC
undetected
undetected
0
negative
positive

chr17
7675088
C
T
TP53
undetected
undetected
0.0012

1531
1531_111116
191
chr5
112839439
C
A
APC
undetected
undetected
0
negative
negative

chr17
7675088
C
T
TP53
undetected
undetected
0

575
575_270616
864
chr3
142555897-8
—
−T
ATR
undetected
undetected
0.0579
positive
positive

chr17
7673811
A
G
TP53
undetected
undetected
0.0546

519
519_140116
726
chr5
112839465
C
T
APC
undetected
undetected
0.0247
positive
positive

chr20
58903555
C
A
GNAS
undetected
undetected
0.0232

chr5
56871965
G
T
MAP3K1
undetected
undetected
0.0177

chr17
7673803
G
A
TP53
undetected
undetected
0.0448

TABLE S10

Information on all candidate pan-cancer features of nucleosome-depleted regions.

ID
Transcript
Gene
Chr
Site
Region
Group
FPKM_blood

1
ENST00000008938.4
PGLYRP1
19
46526323
promoter
blood
148.76

2
ENST00000177694.1
TBX21
17
45810610
promoter
blood
5.98

3
ENST00000194097.8
NAIP
5
70316737
promoter
blood
10.22

4
ENST00000199708.2
HBQ1
16
230452
promoter
blood
45.79

5
ENST00000217133.1
TUBB1
20
57594309
promoter
blood
6.01

6
ENST00000219596.5
MEFV
16
3306627
promoter
blood
19.19

7
ENST00000221804.4
CLC
19
40228668
promoter
blood
19.65

8
ENST00000221954.6
CEACAM4
19
42133442
promoter
blood
32.81

9
ENST00000225275.3
MPO
17
56358296
promoter
blood
7.23

10
ENST00000233997.3
AZU1
19
827836
promoter
blood
14.03

11
ENST00000234347.9
PRTN3
19
840960
promoter
blood
13.78

12
ENST00000236826.7
MMP8
11
102595685
promoter
blood
20.68

13
ENST00000245620.13
LILRB3
19
54726850
promoter
blood
22.83

14
ENST00000258104.7
DYSF
2
71680852
promoter
blood
6.76

15
ENST00000262407.5
ITGA2B
17
42466873
promoter
blood
12.34

16
ENST00000262651.3
HCK
20
30640045
promoter
blood
8.74

17
ENST00000262865.8
BPI
20
36932525
promoter
blood
18.06

18
ENST00000263621.1
ELANE
19
852291
promoter
blood
21.67

19
ENST00000264260.6
IL18RAP
2
103035149
promoter
blood
42.11

20
ENST00000264834.4
KLF1
19
12997995
promoter
blood
8.95

21
ENST00000267396.8
REM2
14
23352374
promoter
blood
6.91

22
ENST00000287497.12
ITGAM
16
31271311
promoter
blood
6.52

23
ENST00000294800.7
FCGR3B
1
161601252
promoter
blood
13.85

24
ENST00000295619.3
PROK2
3
71834212
promoter
blood
12.98

25
ENST00000295683.2
CXCR1
2
219031718
promoter
blood
355.57

26
ENST00000296028.3
PPBP
4
74853914
promoter
blood
50.15

27
ENST00000296435.2
CAMP
3
48264837
promoter
blood
27.17

28
ENST00000297435.2
DEFA4
8
6795860
promoter
blood
34.98

29
ENST00000299663.7
CLEC4E
12
8693559
promoter
blood
29.27

30
ENST00000299665.2
CLEC4D
12
8666136
promoter
blood
10.47

31
ENST00000302312.8
AHSP
16
31539185
promoter
blood
85.51

32
ENST00000304076.6
VAV1
19
6772725
promoter
blood
7.61

33
ENST00000304361.8
CLEC12A
12
10124014
promoter
blood
10.23

34
ENST00000307395.4
GP9
3
128779610
promoter
blood
9.72

35
ENST00000307564.8
AKNA
9
117156685
promoter
blood
11.95

36
ENST00000310544.8
PHOSPHO1
17
47307890
promoter
blood
30.92

37
ENST00000312156.8
NFE2
12
54689544
promoter
blood
11.15

38
ENST00000314412.6
FUT7
9
139927462
promoter
blood
16.90

39
ENST00000314446.9
LILRB2
19
54785039
promoter
blood
7.87

40
ENST00000318507.6
CXCR2
2
218990727
promoter
blood
157.27

41
ENST00000324134.10
NLRP12
19
54327597
promoter
blood
9.17

42
ENST00000326965.6
TAGAP
6
159466184
promoter
blood
5.94

43
ENST00000327857.6
DEFA3
8
6875823
promoter
blood
355.10

44
ENST00000329800.7
TMCC2
1
205225329
promoter
blood
10.64

45
ENST00000330597.3
HBG1
11
5271122
promoter
blood
5.07

46
ENST00000330807.9
ALAS2
X
55057497
promoter
blood
142.66

47
ENST00000331941.6
CSF3R
1
36945120
promoter
blood
16.12

48
ENST00000335854.8
ALAS2
X
55057410
promoter
blood
101.19

49
ENST00000336906.4
HBG2
11
5276041
promoter
blood
104.85

50
ENST00000338372.6
VSTM1
19
54567207
promoter
blood
10.71

51
ENST00000340023.6
FPR2
19
52264104
promoter
blood
34.71

52
ENST00000342063.4
C19orf35
19
2282175
promoter
blood
8.64

53
ENST00000342571.7
MKNK1
1
47051643
promoter
blood
14.42

54
ENST00000344138.8
GRAP2
22
40297086
promoter
blood
5.60

55
ENST00000348343.10
BMX
X
15518952
promoter
blood
6.99

56
ENST00000353065.7
PROK2
3
71834357
promoter
blood
82.89

57
ENST00000355524.7
FCAR
19
55385736
promoter
blood
53.04

58
ENST00000356815.3
HBM
16
215977
promoter
blood
163.82

59
ENST00000357396.7
CEACAM3
19
42300369
promoter
blood
16.26

60
ENST00000367053.5
CR1
1
207669502
promoter
blood
10.47

61
ENST00000367964.6
FCGR3B
1
161601753
promoter
blood
465.71

62
ENST00000368034.8
CD244
1
160832645
promoter
blood
6.27

63
ENST00000373103.5
CSF3R
1
36948879
promoter
blood
61.20

64
ENST00000375448.4
PADI4
1
17634692
promoter
blood
95.04

65
ENST00000375809.7
C6orf25
6
31691150
promoter
blood
5.36

66
ENST00000375862.6
HCK
20
30640000
promoter
blood
20.11

67
ENST00000376092.7
LST1
6
31554977
promoter
blood
5.01

68
ENST00000376670.7
GATA1
X
48644962
promoter
blood
11.17

69
ENST00000377901.8
TMEM71
8
133772828
promoter
blood
6.74

70
ENST00000378023.8
FAM65B
6
24877583
promoter
blood
15.67

71
ENST00000378625.5
NADK
1
1711508
promoter
blood
13.09

72
ENST00000379595.7
PSTPIP1
15
77287472
promoter
blood
5.90

73
ENST00000380299.3
HBD
11
5255878
promoter
blood
138.84

74
ENST00000380315.2
HBB
11
5250625
promoter
blood
5.45

75
ENST00000381153.7
C11orf21
11
2323290
promoter
blood
11.33

76
ENST00000381603.7
SIRPB1
20
1600642
promoter
blood
26.01

77
ENST00000381605.8
SIRPB1
20
1600655
promoter
blood
24.72

78
ENST00000382689.7
DEFA1B
8
6856717
promoter
blood
118.00

79
ENST00000382692.2
DEFA1
8
6837602
promoter
blood
996.76

80
ENST00000391726.7
FCAR
19
55385704
promoter
blood
6.00

81
ENST00000392619.1
CD300E
17
72619877
promoter
blood
24.98

82
ENST00000392621.5
CD300LB
17
72527605
promoter
blood
7.72

83
ENST00000392841.1
HMBS
11
118958697
promoter
blood
7.28

84
ENST00000393450.5
MYL4
17
45286714
promoter
blood
22.77

85
ENST00000394430.5
RASGRP2
11
64512061
promoter
blood
17.61

86
ENST00000394432.7
RASGRP2
11
64511650
promoter
blood
9.91

87
ENST00000397497.8
PTK2B
8
27288416
promoter
blood
5.81

88
ENST00000397797.1
HBA1
16
226703
promoter
blood
25.27

89
ENST00000398421.6
NCF1
7
74188358
promoter
blood
11.04

90
ENST00000398632.3
MX2
21
42774561
promoter
blood
7.28

91
ENST00000399753.2
MSRB1
16
1993196
promoter
blood
11.22

92
ENST00000402255.5
APOBEC3A
22
39348756
promoter
blood
11.96

93
ENST00000402280.5
NLRC4
2
32489949
promoter
blood
5.84

94
ENST00000404054.3
TACC3
4
1741078
promoter
blood
5.17

95
ENST00000409369.1
IL18RAP
2
103036146
promoter
blood
46.86

96
ENST00000410026.6
NABP1
2
192542862
promoter
blood
7.35

97
ENST00000413580.5
PHOSPHO1
17
47308128
promoter
blood
42.76

98
ENST00000414723.1
GCA
2
163212948
promoter
blood
9.14

99
ENST00000415495.5
CEACAM3
19
42300549
promoter
blood
14.84

100
ENST00000418507.6
LST1
6
31553901
promoter
blood
6.17

101
ENST00000421556.5
RASGRP2
11
64511594
promoter
blood
5.27

102
ENST00000421702.2
FCGR3B
1
161600948
promoter
blood
18.36

103
ENST00000425417.1
ARHGAP26
5
142586765
promoter
blood
5.74

104
ENST00000425515.6
VNN3
6
133055904
promoter
blood
8.73

105
ENST00000426897.6
CD37
19
49838653
promoter
blood
7.43

106
ENST00000427321.1
C1orf228
1
45189457
promoter
blood
8.41

107
ENST00000427466.1
THEMIS2
1
28199067
promoter
blood
7.94

108
ENST00000430041.6
ARHGAP9
12
57871981
promoter
blood
22.12

109
ENST00000436504.2
LILRB3
19
54723224
promoter
blood
69.95

110
ENST00000436693.6
TLR6
4
38858438
promoter
blood
5.83

111
ENST00000441002.1
IL1R2
2
102624977
promoter
blood
16.30

112
ENST00000441045.5
NAMPT
7
105925397
promoter
blood
5.42

113
ENST00000441366.6
EPB42
15
43513249
promoter
blood
11.69

114
ENST00000442948.3
FOLR3
11
71846989
promoter
blood
9.64

115
ENST00000444257.5
PLB1
2
28827594
promoter
blood
7.51

116
ENST00000445347.1
LILRB3
19
54726959
promoter
blood
49.26

117
ENST00000448367.5
FES
15
91432780
promoter
blood
6.30

118
ENST00000452208.1
RGL4
22
24038671
promoter
blood
64.94

119
ENST00000453777.1
LILRA1
19
55105125
promoter
blood
6.64

120
ENST00000455062.2
NCF1
7
74191615
promoter
blood
15.11

121
ENST00000456013.5
PTPN6
12
7060434
promoter
blood
7.47

122
ENST00000460045.1
IMPDH1
7
128035225
promoter
blood
8.72

123
ENST00000460208.1
LILRB3
19
54721567
promoter
blood
51.15

124
ENST00000460442.5
ZDHHC19
3
195925781
promoter
blood
22.43

125
ENST00000460650.5
SELL
1
169673894
promoter
blood
5.03

126
ENST00000462275.5
TBXAS1
7
139529072
promoter
blood
6.07

127
ENST00000462927.5
CYTH4
22
37678566
promoter
blood
26.95

128
ENST00000463153.1
ABHD5
3
43759160
promoter
blood
5.85

129
ENST00000463516.5
MYO1G
7
45014814
promoter
blood
5.23

130
ENST00000464329.1
CD53
1
111440292
promoter
blood
10.28

131
ENST00000464526.1
LST1
6
31553971
promoter
blood
9.98

132
ENST00000464591.1
C1orf162
1
112017190
promoter
blood
7.62

133
ENST00000464994.5
IL1R2
2
102608422
promoter
blood
12.24

134
ENST00000465814.5
ARAP1
11
72433133
promoter
blood
10.09

135
ENST00000465984.5
SLC11A1
2
219246911
promoter
blood
10.54

136
ENST00000466138.1
CSF3R
1
36933410
promoter
blood
32.37

137
ENST00000466151.1
PADI2
1
17409921
promoter
blood
7.13

138
ENST00000466612.5
ABTB1
3
127391857
promoter
blood
6.18

139
ENST00000467001.1
PADI4
1
17675225
promoter
blood
24.03

140
ENST00000467525.5
FCGR2A
1
161476123
promoter
blood
8.40

141
ENST00000467786.1
FGD3
9
95737532
promoter
blood
43.15

142
ENST00000467972.5
SLC12A9
7
100454416
promoter
blood
6.80

143
ENST00000468221.5
SLC11A1
2
219246752
promoter
blood
42.34

144
ENST00000468945.1
PADI4
1
17672529
promoter
blood
17.46

145
ENST00000469273.1
LILRB3
19
54724660
promoter
blood
16.30

146
ENST00000469280.1
NCF2
1
183533186
promoter
blood
13.91

147
ENST00000469349.1
NBEAL2
3
47049253
promoter
blood
7.54

148
ENST00000469380.1
CSF3R
1
36939431
promoter
blood
5.77

149
ENST00000469449.1
SLC11A1
2
219248410
promoter
blood
5.27

150
ENST00000469532.1
RAC2
22
37640318
promoter
blood
9.83

151
ENST00000469799.5
SLC11A1
2
219247002
promoter
blood
8.27

152
ENST00000469886.5
CYTH4
22
37678556
promoter
blood
6.16

153
ENST00000470579.5
ARID5A
2
97202480
promoter
blood
7.93

154
ENST00000471466.5
RAB24
5
176730706
promoter
blood
6.58

155
ENST00000471836.1
PARVG
22
44577630
promoter
blood
6.53

156
ENST00000472694.1
HBA1
16
226697
promoter
blood
64.74

157
ENST00000473070.1
FAM65B
6
24843364
promoter
blood
19.03

158
ENST00000473156.5
LILRA1
19
55105047
promoter
blood
7.68

159
ENST00000473883.5
HCLS1
3
121363030
promoter
blood
36.16

160
ENST00000474129.1
ABTB1
3
127395815
promoter
blood
8.59

161
ENST00000475225.5
SLC11A1
2
219247025
promoter
blood
37.49

162
ENST00000475472.5
FGR
1
27961645
promoter
blood
49.95

163
ENST00000475683.1
TUBA4A
2
220118638
promoter
blood
10.51

164
ENST00000476050.5
TRAF3IP3
1
209941940
promoter
blood
5.61

165
ENST00000476408.1
CD53
1
111422859
promoter
blood
10.54

166
ENST00000476492.1
LAPTM5
1
31230604
promoter
blood
6.02

167
ENST00000476532.1
SASH3
X
128913955
promoter
blood
9.72

168
ENST00000477720.1
LILRA5
19
54822933
promoter
blood
16.70

169
ENST00000478298.5
ABTB1
3
127395379
promoter
blood
6.71

170
ENST00000478902.1
ZDHHC18
1
27177620
promoter
blood
12.52

171
ENST00000479534.5
PADI2
1
17401846
promoter
blood
5.78

172
ENST00000479996.1
RGS19
20
62710778
promoter
blood
9.02

173
ENST00000480467.5
CDK5RAP2
9
123165773
promoter
blood
16.88

174
ENST00000480825.6
CSF3R
1
36941928
promoter
blood
127.36

175
ENST00000481215.1
RAC2
22
37627543
promoter
blood
7.04

176
ENST00000481314.5
HCLS1
3
121379748
promoter
blood
13.32

177
ENST00000481517.1
STAT5B
17
40369889
promoter
blood
8.48

178
ENST00000481789.1
KCNAB2
1
6156316
promoter
blood
8.66

179
ENST00000482429.1
LTB
6
31550183
promoter
blood
5.85

180
ENST00000482543.1
PTK2B
8
27310374
promoter
blood
9.94

181
ENST00000483487.2
SLC11A1
2
219248890
promoter
blood
5.23

182
ENST00000483665.6
FCGR2A
1
161475247
promoter
blood
6.60

183
ENST00000483722.1
TREML2
6
41168932
promoter
blood
15.58

184
ENST00000483750.5
WAS
X
48542217
promoter
blood
34.49

185
ENST00000484216.1
HBA2
16
222943
promoter
blood
296.56

186
ENST00000484762.1
CSF3R
1
36933677
promoter
blood
8.26

187
ENST00000485335.1
IL1R2
2
102639852
promoter
blood
12.15

188
ENST00000485341.5
LSP1
11
1901907
promoter
blood
5.48

189
ENST00000485583.1
LRCH4
7
100183752
promoter
blood
5.95

190
ENST00000485743.1
HBB
11
5248302
promoter
blood
128.52

191
ENST00000485991.5
CFP
X
47489294
promoter
blood
5.10

192
ENST00000486097.1
NCF1
7
74197786
promoter
blood
12.51

193
ENST00000486327.6
DHX34
19
47870370
promoter
blood
6.88

194
ENST00000486742.2
LILRA5
19
54824344
promoter
blood
17.29

195
ENST00000486749.5
SLC2A3
12
8088763
promoter
blood
9.53

196
ENST00000486935.2
SEMA4D
9
91996758
promoter
blood
5.98

197
ENST00000487283.5
ZAP70
2
98349392
promoter
blood
7.23

198
ENST00000487290.5
HCLS1
3
121379745
promoter
blood
6.41

199
ENST00000487445.6
GCA
2
163200669
promoter
blood
12.82

200
ENST00000487651.5
SLC12A9
7
100456358
promoter
blood
6.67

201
ENST00000487761.5
GPSM3
6
32160645
promoter
blood
14.37

202
ENST00000487791.1
HBA1
16
226747
promoter
blood
29.54

203
ENST00000487871.1
SMAP2
1
40879649
promoter
blood
36.53

204
ENST00000488945.5
GNLY
2
85912298
promoter
blood
11.68

205
ENST00000488970.1
BTK
X
100609209
promoter
blood
7.40

206
ENST00000489175.1
KCNE1
21
35884505
promoter
blood
6.75

207
ENST00000489358.5
NAMPT
7
105925396
promoter
blood
30.07

208
ENST00000489551.5
CSF3R
1
36948535
promoter
blood
106.01

209
ENST00000489980.5
GNLY
2
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promoter
blood
14.53

210
ENST00000490763.1
SLC2A3
12
8082631
promoter
blood
5.93

211
ENST00000490872.1
SLC11A1
2
219254688
promoter
blood
26.15

212
ENST00000491376.5
IMPDH1
7
128050036
promoter
blood
6.59

213
ENST00000492413.5
SLC11A1
2
219247010
promoter
blood
17.89

214
ENST00000493242.1
LILRB2
19
54784952
promoter
blood
22.65

215
ENST00000493288.1
PGD
1
10472891
promoter
blood
9.99

216
ENST00000493365.5
ABTB1
3
127391795
promoter
blood
6.22

217
ENST00000493632.5
INPP5D
2
234078206
promoter
blood
17.01

218
ENST00000493871.1
MPP1
X
154014500
promoter
blood
6.09

219
ENST00000494080.5
CCDC88B
11
64109078
promoter
blood
7.88

220
ENST00000494268.1
MSL3
X
11778341
promoter
blood
6.22

221
ENST00000495406.1
CDK5RAP2
9
123152555
promoter
blood
10.53

222
ENST00000495458.5
RAB24
5
176730682
promoter
blood
11.72

223
ENST00000495988.1
APOBEC3A
22
39348746
promoter
blood
40.03

224
ENST00000496379.5
FES
15
91433070
promoter
blood
7.77

225
ENST00000496915.1
PREX1
20
47259276
promoter
blood
5.23

226
ENST00000497441.5
RASGRP2
11
64504726
promoter
blood
12.78

227
ENST00000497615.1
NADK
1
1686335
promoter
blood
9.43

228
ENST00000497747.5
NADK
1
1686305
promoter
blood
9.33

229
ENST00000498461.1
ALOX5
10
45938869
promoter
blood
13.87

230
ENST00000498666.5
ITGB2
21
46340875
promoter
blood
13.12

231
ENST00000500323.2
DOK3
5
176935878
promoter
blood
10.88

232
ENST00000502380.1
DOK3
5
176937383
promoter
blood
8.44

233
ENST00000504910.1
HK3
5
176318392
promoter
blood
6.36

234
ENST00000505207.5
UBE2D3
4
103746937
promoter
blood
7.43

235
ENST00000508794.6
NAIP
5
70316601
promoter
blood
11.43

236
ENST00000509314.5
FBXL5
4
15661487
promoter
blood
10.24

237
ENST00000509339.1
MXD3
5
176735063
promoter
blood
30.07

238
ENST00000512426.5
CCND3
6
41908323
promoter
blood
7.01

239
ENST00000512747.3
IL2RG
X
70331456
promoter
blood
6.21

240
ENST00000513001.5
ACSL1
4
185680030
promoter
blood
17.65

241
ENST00000517804.5
DMTN
8
21914477
promoter
blood
7.30

242
ENST00000517813.1
DENND3
8
142194587
promoter
blood
13.47

243
ENST00000517985.5
DENND3
8
142188220
promoter
blood
9.36

244
ENST00000518135.1
TNFRSF10C
8
22972020
promoter
blood
5.06

245
ENST00000518249.5
DENND3
8
142151302
promoter
blood
9.51

246
ENST00000518806.1
DENND3
8
142187186
promoter
blood
11.76

247
ENST00000519594.5
LCP2
5
169724731
promoter
blood
5.37

248
ENST00000520174.5
DMTN
8
21914416
promoter
blood
16.02

249
ENST00000520322.1
LCP2
5
169678696
promoter
blood
5.68

250
ENST00000520450.5
DOCK2
5
169483442
promoter
blood
11.23

251
ENST00000520571.1
DENND3
8
142198997
promoter
blood
8.57

252
ENST00000520887.1
FAM49B
8
130859563
promoter
blood
7.15

253
ENST00000521442.1
ATP6V1B2
8
20075693
promoter
blood
8.33

254
ENST00000523015.1
DENND3
8
142154013
promoter
blood
7.05

255
ENST00000523022.5
CA1
8
86290342
promoter
blood
40.92

256
ENST00000523066.1
DENND3
8
142183604
promoter
blood
6.75

257
ENST00000523266.5
DMTN
8
21916717
promoter
blood
6.93

258
ENST00000523369.1
LCP2
5
169685502
promoter
blood
9.88

259
ENST00000523530.1
DENND3
8
142201373
promoter
blood
7.23

260
ENST00000523615.1
STK10
5
171488634
promoter
blood
12.61

261
ENST00000523829.5
TMEM71
8
133772807
promoter
blood
11.05

262
ENST00000526387.5
TBC1D10C
11
67171386
promoter
blood
7.10

263
ENST00000526474.1
TBC1D10C
11
67172719
promoter
blood
8.87

264
ENST00000526980.5
CSF3R
1
36948500
promoter
blood
184.80

265
ENST00000527031.5
JAK3
19
17958800
promoter
blood
6.17

266
ENST00000527146.1
IFITM2
11
308320
promoter
blood
18.56

267
ENST00000527525.5
SIPA1
11
65407337
promoter
blood
5.39

268
ENST00000528086.5
CD44
11
35160718
promoter
blood
8.17

269
ENST00000528780.5
IFITM1
11
313506
promoter
blood
47.88

270
ENST00000530119.5
TALDO1
11
747464
promoter
blood
7.74

271
ENST00000530226.1
SIPA1
11
65413282
promoter
blood
6.84

272
ENST00000530587.5
PHF21A
11
45959815
promoter
blood
6.25

273
ENST00000531221.5
FCGR3B
1
161600996
promoter
blood
57.18

274
ENST00000531334.1
ECE1
1
21548574
promoter
blood
5.78

275
ENST00000532028.1
PHF21A
11
45967420
promoter
blood
5.50

276
ENST00000532362.1
CMTM2
16
66620812
promoter
blood
114.27

277
ENST00000532897.5
MKNK1
1
47037972
promoter
blood
6.23

278
ENST00000533815.2
BTNL8
5
180336564
promoter
blood
5.72

279
ENST00000533968.1
SPI1
11
47400038
promoter
blood
12.90

280
ENST00000534261.3
SIGLEC5
19
52148798
promoter
blood
6.14

281
ENST00000534754.5
SORL1
11
121481961
promoter
blood
9.84

282
ENST00000535615.5
CARS2
13
111318077
promoter
blood
5.33

283
ENST00000535841.2
DEFA1B
8
6875811
promoter
blood
962.74

284
ENST00000536885.1
ARAP1
11
72399526
promoter
blood
7.74

285
ENST00000536995.5
ATG16L2
11
72532933
promoter
blood
11.55

286
ENST00000538842.1
ATG16L2
11
72527790
promoter
blood
6.35

287
ENST00000539134.1
RELT
11
73104289
promoter
blood
6.58

288
ENST00000539932.5
SLC11A1
2
219246926
promoter
blood
50.32

289
ENST00000540182.5
NLRC5
16
57074600
promoter
blood
6.20

290
ENST00000540513.1
ACRBP
12
6748017
promoter
blood
9.23

291
ENST00000541206.6
RNF166
16
88770025
promoter
blood
11.36

292
ENST00000541623.5
ARAP1
11
72399582
promoter
blood
8.01

293
ENST00000541800.6
PLBD1
12
14689059
promoter
blood
6.78

294
ENST00000542481.1
ATG16L2
11
72534940
promoter
blood
25.18

295
ENST00000542587.5
LPAR2
19
19739739
promoter
blood
10.95

296
ENST00000543576.5
DENND1C
19
6481798
promoter
blood
12.06

297
ENST00000544490.5
ATG16L2
11
72525472
promoter
blood
30.13

298
ENST00000544997.5
FERMT3
11
63974150
promoter
blood
7.56

299
ENST00000546200.5
ARHGAP9
12
57871634
promoter
blood
66.03

300
ENST00000546704.1
ARHGAP9
12
57868923
promoter
blood
19.20

301
ENST00000548139.5
ARHGAP9
12
57871842
promoter
blood
15.20

302
ENST00000551000.1
ARHGAP9
12
57871650
promoter
blood
8.28

303
ENST00000552953.5
ARHGAP9
12
57870424
promoter
blood
24.58

304
ENST00000553070.5
NFE2
12
54694799
promoter
blood
23.61

305
ENST00000553872.1
PYGL
14
51388246
promoter
blood
8.64

306
ENST00000554736.5
GNG2
14
52328042
promoter
blood
9.30

307
ENST00000556418.1
RIN3
14
93118846
promoter
blood
12.65

308
ENST00000558177.5
ANPEP
15
90345967
promoter
blood
11.96

309
ENST00000558332.3
IL16
15
81591757
promoter
blood
7.66

310
ENST00000558588.5
PLCB2
15
40599894
promoter
blood
12.82

311
ENST00000559341.5
MAN2A2
15
91459225
promoter
blood
8.61

312
ENST00000559750.5
PSTPIP1
15
77287513
promoter
blood
16.39

313
ENST00000560064.1
PSTPIP1
15
77328035
promoter
blood
5.96

314
ENST00000560377.5
PSTPIP1
15
77287726
promoter
blood
8.38

315
ENST00000561175.1
ADAM8
10
135086080
promoter
blood
6.86

316
ENST00000562129.1
CORO1A
16
30199396
promoter
blood
14.38

317
ENST00000562759.1
ST20
15
80200378
promoter
blood
5.59

318
ENST00000562918.5
ITGAX
16
31366495
promoter
blood
10.15

319
ENST00000563269.1
PLCG2
16
81964866
promoter
blood
6.38

320
ENST00000563526.5
CYBA
16
88717396
promoter
blood
7.13

321
ENST00000564072.1
SLCO3A1
15
92704805
promoter
blood
8.74

322
ENST00000564572.1
CNN2
19
1036798
promoter
blood
5.34

323
ENST00000564632.1
ITGAL
16
30531077
promoter
blood
12.98

324
ENST00000564707.1
AHSP
16
31539298
promoter
blood
6.85

325
ENST00000564768.1
CORO1A
16
30198003
promoter
blood
6.01

326
ENST00000564894.1
RNF166
16
88768058
promoter
blood
7.90

327
ENST00000564905.1
XPO6
16
28145246
promoter
blood
12.98

328
ENST00000565076.1
SIRPB1
20
1552558
promoter
blood
5.74

329
ENST00000565284.5
XPO6
16
28164239
promoter
blood
14.84

330
ENST00000565497.5
CORO1A
16
30194940
promoter
blood
6.42

331
ENST00000566082.1
USB1
16
58049017
promoter
blood
6.82

332
ENST00000567034.5
CORO1A
16
30197253
promoter
blood
11.54

333
ENST00000567038.1
XPO6
16
28113307
promoter
blood
8.97

334
ENST00000567178.1
ITGAM
16
31339358
promoter
blood
23.09

335
ENST00000568760.5
DEF8
16
90023661
promoter
blood
7.24

336
ENST00000568982.5
CORO1A
16
30194930
promoter
blood
7.54

337
ENST00000570106.6
SIGLEC5
19
52133588
promoter
blood
40.53

338
ENST00000570439.1
ACAP1
17
7248650
promoter
blood
5.27

339
ENST00000570473.5
TRIM25
17
54981704
promoter
blood
5.32

340
ENST00000570755.1
MMP25
16
3097532
promoter
blood
31.89

341
ENST00000571206.1
ARRB2
17
4618884
promoter
blood
26.58

342
ENST00000571220.1
ACAP1
17
7246254
promoter
blood
29.18

343
ENST00000571303.1
MLKL
16
74725367
promoter
blood
5.93

344
ENST00000571791.5
ARRB2
17
4613977
promoter
blood
13.94

345
ENST00000572418.1
P2RX1
17
3819746
promoter
blood
9.95

346
ENST00000572666.5
CORO7
16
4411903
promoter
blood
7.67

347
ENST00000572782.1
ARRB2
17
4617846
promoter
blood
16.63

348
ENST00000574548.1
RNF167
17
4847675
promoter
blood
6.40

349
ENST00000574888.5
ARRB2
17
4613950
promoter
blood
7.24

350
ENST00000575131.5
ARRB2
17
4613956
promoter
blood
11.97

351
ENST00000575441.1
MMP25
16
3106795
promoter
blood
88.59

352
ENST00000576594.1
ACAP1
17
7250448
promoter
blood
17.88

353
ENST00000576628.1
ACAP1
17
7239916
promoter
blood
20.20

354
ENST00000576769.1
SLC43A2
17
1486992
promoter
blood
5.40

355
ENST00000578574.1
SLC16A3
17
80186938
promoter
blood
7.93

356
ENST00000581287.5
SLC16A3
17
80191563
promoter
blood
11.97

357
ENST00000581974.1
DHRS13
17
27226541
promoter
blood
5.97

358
ENST00000582174.5
FLOT2
17
27224672
promoter
blood
6.46

359
ENST00000582812.5
NDEL1
17
8316449
promoter
blood
9.15

360
ENST00000583093.5
SECTM1
17
80291639
promoter
blood
7.78

361
ENST00000583810.5
PIK3R5
17
8785825
promoter
blood
8.43

362
ENST00000584445.5
NARF
17
80438344
promoter
blood
11.89

363
ENST00000585852.5
FMNL1
17
43308036
promoter
blood
19.81

364
ENST00000586080.1
R3HDM4
19
901236
promoter
blood
5.15

365
ENST00000587259.5
VMP1
17
57807076
promoter
blood
10.58

366
ENST00000587265.1
CA4
17
58235469
promoter
blood
5.45

367
ENST00000587287.1
RASGRP4
19
38902036
promoter
blood
6.80

368
ENST00000587444.1
VASP
19
46029052
promoter
blood
6.41

369
ENST00000587856.1
FMNL1
17
43311251
promoter
blood
22.20

370
ENST00000588708.5
RASGRP4
19
38907787
promoter
blood
24.68

371
ENST00000589261.5
ICAM3
19
10450295
promoter
blood
6.41

372
ENST00000589900.5
ICAM3
19
10450305
promoter
blood
21.24

373
ENST00000589911.1
FMNL1
17
43322691
promoter
blood
7.99

374
ENST00000590227.5
DNAH17
17
76446380
promoter
blood
5.85

375
ENST00000590856.1
UNC13D
17
73826742
promoter
blood
6.33

376
ENST00000590974.1
LYL1
19
13213975
promoter
blood
5.48

377
ENST00000591616.1
UNC13D
17
73831353
promoter
blood
7.12

378
ENST00000592527.1
FMNL1
17
43310229
promoter
blood
7.31

379
ENST00000594221.5
STXBP2
19
7706716
promoter
blood
6.21

380
ENST00000594696.1
PRAM1
19
8556907
promoter
blood
17.63

381
ENST00000594743.1
CD37
19
49840472
promoter
blood
8.07

382
ENST00000595046.1
MYO1F
19
8642326
promoter
blood
6.90

383
ENST00000595325.5
MYO1F
19
8642322
promoter
blood
13.66

384
ENST00000595596.1
GRAMD1A
19
35503892
promoter
blood
5.53

385
ENST00000595725.5
CD37
19
49838657
promoter
blood
20.04

386
ENST00000596937.1
MYO1F
19
8615297
promoter
blood
6.21

387
ENST00000597222.1
MYO1F
19
8604936
promoter
blood
29.52

388
ENST00000597611.7
FKBP8
19
18654887
promoter
blood
9.25

389
ENST00000597852.5
CD37
19
49838675
promoter
blood
13.98

390
ENST00000598005.1
MYO1F
19
8606840
promoter
blood
17.89

391
ENST00000598201.5
SHKBP1
19
41086073
promoter
blood
12.36

392
ENST00000598529.5
MYO1F
19
8619448
promoter
blood
16.08

393
ENST00000598907.5
SHKBP1
19
41084102
promoter
blood
14.71

394
ENST00000598953.1
FPR2
19
52264465
promoter
blood
37.43

395
ENST00000599123.1
MYO1F
19
8620661
promoter
blood
7.54

396
ENST00000599180.2
FFAR2
19
35939203
promoter
blood
24.79

397
ENST00000599662.1
CEACAM3
19
42312851
promoter
blood
9.48

398
ENST00000599694.1
RASAL3
19
15567410
promoter
blood
6.37

399
ENST00000599716.5
SHKBP1
19
41082793
promoter
blood
10.66

400
ENST00000600463.1
IFI30
19
18284979
promoter
blood
6.41

401
ENST00000600885.1
MYO1F
19
8592271
promoter
blood
5.95

402
ENST00000601502.1
MYO1F
19
8610602
promoter
blood
8.05

403
ENST00000602101.6
RASAL3
19
15575325
promoter
blood
7.16

404
ENST00000602136.1
MYO1F
19
8612931
promoter
blood
7.01

405
ENST00000602142.5
VAV1
19
6772737
promoter
blood
8.46

406
ENST00000602166.1
EGLN2
19
41312824
promoter
blood
5.19

407
ENST00000602612.5
KCNAB2
1
6086380
promoter
blood
5.03

408
ENST00000605039.5
BIN2
12
51717938
promoter
blood
11.02

409
ENST00000607855.5
CD177
19
43857843
promoter
blood
5.94

410
ENST00000609870.5
CELF2
10
11207447
promoter
blood
12.41

411
ENST00000611028.2
FOLR3
11
71846798
promoter
blood
11.13

412
ENST00000612844.4
FOLR3
11
71846756
promoter
blood
13.11

413
ENST00000614135.4
RASGRP4
19
38916945
promoter
blood
8.18

414
ENST00000614254.1
AOAH
7
36570290
promoter
blood
14.33

415
ENST00000615340.4
RASGRP4
19
38916837
promoter
blood
6.88

416
ENST00000616356.4
FCN1
9
137809723
promoter
blood
16.99

417
ENST00000619100.4
SLC38A5
X
48325880
promoter
blood
10.86

418
ENST00000620888.4
HBG2
11
5276011
promoter
blood
161.14

419
ENST00000621510.1
AOAH
7
36554282
promoter
blood
19.27

420
ENST00000622764.1
SAP25
7
100171443
promoter
blood
5.94

421
ENST00000008938.4
PGLYRP1
19
46525993
junction
blood
148.76

422
ENST00000177694.1
TBX21
17
45811311
junction
blood
5.98

423
ENST00000194097.8
NAIP
5
70316486
junction
blood
10.22

424
ENST00000199708.2
HBQ1
15
230580
junction
blood
45.79

425
ENST00000217133.1
TUBB1
20
57594634
junction
blood
6.01

426
ENST00000219596.5
MEFV
16
3306311
junction
blood
19.19

427
ENST00000221804.4
CLC
19
40228578
junction
blood
19.65

428
ENST00000221954.6
CEACAM4
19
42133268
junction
blood
32.81

429
ENST00000225275.3
MPO
17
56357966
junction
blood
7.23

430
ENST00000233997.3
AZU1
19
827904
junction
blood
14.03

431
ENST00000234347.9
PRTN3
19
841069
junction
blood
13.78

432
ENST00000236826.7
MMP8
11
102595485
junction
blood
20.68

433
ENST00000245620.13
LILRB3
19
54726815
junction
blood
22.83

434
ENST00000258104.7
DYSF
2
71681216
junction
blood
6.76

435
ENST00000262407.5
ITGA2B
17
42466654
junction
blood
12.34

436
ENST00000262651.3
HCK
20
30640289
junction
blood
8.74

437
ENST00000262865.8
BPI
20
36932755
junction
blood
18.06

438
ENST00000263621.1
ELANE
19
852395
junction
blood
21.67

439
ENST00000264260.6
IL18RAP
2
103035400
junction
blood
42.11

440
ENST00000264834.4
KLF1
19
12997868
junction
blood
8.95

441
ENST00000267396.8
REM2
14
23352599
junction
blood
6.91

442
ENST00000287497.12
ITGAM
16
31271413
junction
blood
6.52

443
ENST00000294800.7
FCGR3B
1
161600845
junction
blood
13.85

444
ENST00000295619.3
PROK2
3
71834108
junction
blood
12.98

445
ENST00000295683.2
CXCR1
2
219031631
junction
blood
355.57

446
ENST00000296028.3
PPBP
4
74853673
junction
blood
50.15

447
ENST00000296435.2
CAMP
3
48265202
junction
blood
27.17

448
ENST00000297435.2
DEFA4
8
6795748
junction
blood
34.98

449
ENST00000299663.7
CLEC4E
12
8693357
junction
blood
29.27

450
ENST00000299665.2
CLEC4D
12
8666356
junction
blood
10.47

451
ENST00000302312.8
AHSP
16
31539283
junction
blood
85.51

452
ENST00000304076.6
VAV1
19
6773022
junction
blood
7.61

453
ENST00000304361.8
CLEC12A
12
10124286
junction
blood
10.23

454
ENST00000307395.4
GP9
3
128779693
junction
blood
9.72

455
ENST00000307564.8
AKNA
9
117156637
junction
blood
11.95

456
ENST00000310544.8
PHOSPHO1
17
47307830
junction
blood
30.92

457
ENST00000312156.8
NFE2
12
54689328
junction
blood
11.15

458
ENST00000314412.6
FUT7
9
139926431
junction
blood
16.90

459
ENST00000314446.9
LILRB2
19
54784816
junction
blood
7.87

460
ENST00000318507.6
CXCR2
2
218991076
junction
blood
157.27

461
ENST00000324134.10
NLRP12
19
54327140
junction
blood
9.17

462
ENST00000326965.6
TAGAP
6
159465911
junction
blood
5.94

463
ENST00000327857.6
DEFA3
8
6875744
junction
blood
355.10

464
ENST00000329800.7
TMCC2
1
205225544
junction
blood
10.64

465
ENST00000330597.3
HBG1
11
5270943
junction
blood
5.07

466
ENST00000330807.9
ALAS2
X
55057375
junction
blood
142.66

467
ENST00000331941.6
CSF3R
1
36945034
junction
blood
16.12

468
ENST00000336906.4
HBG2
11
5275867
junction
blood
104.85

469
ENST00000338372.6
VSTM1
19
54566998
junction
blood
10.71

470
ENST00000340023.6
FPR2
19
52264483
junction
blood
34.71

471
ENST00000342063.4
C19orf35
19
2282086
junction
blood
8.64

472
ENST00000342571.7
MKNK1
1
47051546
junction
blood
14.42

473
ENST00000344138.8
GRAP2
22
40297334
junction
blood
5.60

474
ENST00000348343.10
BMX
X
15519063
junction
blood
6.99

475
ENST00000355524.7
FCAR
19
55385779
junction
blood
53.04

476
ENST00000356815.3
HBM
16
216088
junction
blood
163.82

477
ENST00000357396.7
CEACAM3
19
42300673
junction
blood
16.26

478
ENST00000367053.5
CR1
1
207669733
junction
blood
10.47

479
ENST00000367964.6
FCGR3B
1
161601676
junction
blood
465.71

480
ENST00000368034.8
CD244
1
160832407
junction
blood
6.27

481
ENST00000373103.5
CSF3R
1
36948412
junction
blood
61.20

482
ENST00000375448.4
PADI4
1
17634809
junction
blood
95.04

483
ENST00000375809.7
C6orf25
6
31691221
junction
blood
5.36

484
ENST00000376092.7
LST1
6
31555095
junction
blood
5.01

485
ENST00000376670.7
GATA1
X
48645053
junction
blood
11.17

486
ENST00000377901.8
TMEM71
8
133772722
junction
blood
6.74

487
ENST00000378023.8
FAM65B
6
24877179
junction
blood
15.67

488
ENST00000378625.5
NADK
1
1711344
junction
blood
13.09

489
ENST00000379595.7
PSTPIP1
15
77287950
junction
blood
5.90

490
ENST00000380299.3
HBD
11
5255572
junction
blood
138.84

491
ENST00000380315.2
HBB
11
5250482
junction
blood
5.45

492
ENST00000381153.7
C11orf21
11
2322986
junction
blood
11.33

493
ENST00000381603.7
SIRPB1
20
1600515
junction
blood
26.01

494
ENST00000382689.7
DEFA1B
8
6856645
junction
blood
118.00

495
ENST00000382692.2
DEFA1
8
6837535
junction
blood
996.76

496
ENST00000392619.1
CD300E
17
72619721
junction
blood
24.98

497
ENST00000392621.5
CD300LB
17
72527450
junction
blood
7.72

498
ENST00000392841.1
HMBS
11
118958788
junction
blood
7.28

499
ENST00000393450.5
MYL4
17
45286923
junction
blood
22.77

500
ENST00000394430.5
RASGRP2
11
64510266
junction
blood
17.61

501
ENST00000394432.7
RASGRP2
11
64511475
junction
blood
9.91

502
ENST00000397497.8
PTK2B
8
27288989
junction
blood
5.81

503
ENST00000397797.1
HBA1
16
226761
junction
blood
25.27

504
ENST00000398421.6
NCF1
7
74188450
junction
blood
11.04

505
ENST00000398632.3
MX2
21
42775563
junction
blood
7.28

506
ENST00000399753.2
MSRB1
16
1993103
junction
blood
11.22

507
ENST00000402255.5
APOBEC3A
22
39348855
junction
blood
11.96

508
ENST00000402280.5
NLRC4
2
32489807
junction
blood
5.84

509
ENST00000404054.3
TACC3
4
1743848
junction
blood
5.17

510
ENST00000409369.1
IL18RAP
2
103036257
junction
blood
46.86

511
ENST00000410026.6
NABP1
2
192542967
junction
blood
7.35

512
ENST00000414723.1
GCA
2
163212991
junction
blood
9.14

513
ENST00000418507.6
LST1
6
31554092
junction
blood
6.17

514
ENST00000425417.1
ARHGAP26
5
142586873
junction
blood
5.74

515
ENST00000425515.6
VNN3
6
133055619
junction
blood
8.73

516
ENST00000426897.6
CD37
19
49838832
junction
blood
7.43

517
ENST00000427321.1
C1orf228
1
45189578
junction
blood
8.41

518
ENST00000427466.1
THEMIS2
1
28199176
junction
blood
7.94

519
ENST00000430041.6
ARHGAP9
12
57871568
junction
blood
22.12

520
ENST00000436504.2
LILRB3
19
54722998
junction
blood
69.95

521
ENST00000436693.6
TLR6
4
38858382
junction
blood
5.83

522
ENST00000441002.1
IL1R2
2
102625104
junction
blood
16.30

523
ENST00000441045.5
NAMPT
7
105925274
junction
blood
5.42

524
ENST00000441366.6
EPB42
15
43513014
junction
blood
11.69

525
ENST00000442948.3
FOLR3
11
71847166
junction
blood
9.64

526
ENST00000444257.5
PLB1
2
28827626
junction
blood
7.51

527
ENST00000448367.5
FES
15
91432866
junction
blood
6.30

528
ENST00000452208.1
RGL4
22
24038875
junction
blood
64.94

529
ENST00000453777.1
LILRA1
19
55105246
junction
blood
6.64

530
ENST00000455062.2
NCF1
7
74191693
junction
blood
15.11

531
ENST00000456013.5
PTPN6
12
7060683
junction
blood
7.47

532
ENST00000460045.1
IMPDH1
7
128035185
junction
blood
8.72

533
ENST00000460208.1
LILRB3
19
54721188
junction
blood
51.15

534
ENST00000460442.5
ZDHHC19
3
195925660
junction
blood
22.43

535
ENST00000460650.5
SELL
1
169673709
junction
blood
5.03

536
ENST00000462275.5
TBXAS1
7
139529278
junction
blood
6.07

537
ENST00000462927.5
CYTH4
22
37678629
junction
blood
26.95

538
ENST00000463153.1
ABHD5
3
43759349
junction
blood
5.85

539
ENST00000463516.5
MYO1G
7
45014773
junction
blood
5.23

540
ENST00000464329.1
CD53
1
111440514
junction
blood
10.28

541
ENST00000464591.1
C1orf162
1
112018687
junction
blood
7.62

542
ENST00000464994.5
IL1R2
2
102608495
junction
blood
12.24

543
ENST00000465814.5
ARAP1
11
72432895
junction
blood
10.09

544
ENST00000465984.5
SLC11A1
2
219247098
junction
blood
10.54

545
ENST00000466138.1
CSF3R
1
36933159
junction
blood
32.37

546
ENST00000466151.1
PADI2
1
17409731
junction
blood
7.13

547
ENST00000466612.5
ABTB1
3
127392451
junction
blood
6.18

548
ENST00000467001.1
PADI4
1
17675280
junction
blood
24.03

549
ENST00000467525.5
FCGR2A
1
161476381
junction
blood
8.40

550
ENST00000467786.1
FGD3
9
95737687
junction
blood
43.15

551
ENST00000467972.5
SLC12A9
7
100456564
junction
blood
6.80

552
ENST00000468945.1
PADI4
1
17672634
junction
blood
17.46

553
ENST00000469273.1
LILRB3
19
54724398
junction
blood
16.30

554
ENST00000469280.1
NCF2
1
183532569
junction
blood
13.91

555
ENST00000469349.1
NBEAL2
3
47049676
junction
blood
7.54

556
ENST00000469380.1
CSF3R
1
36939365
junction
blood
5.77

557
ENST00000469449.1
SLC11A1
2
219249088
junction
blood
5.27

558
ENST00000469532.1
RAC2
22
37640154
junction
blood
9.83

559
ENST00000470579.5
ARID5A
2
97202567
junction
blood
7.93

560
ENST00000471466.5
RAB24
5
176730010
junction
blood
6.58

561
ENST00000471836.1
PARVG
22
44577797
junction
blood
6.53

562
ENST00000472694.1
HBA1
16
227132
junction
blood
64.74

563
ENST00000473070.1
FAM65B
6
24843090
junction
blood
19.03

564
ENST00000473883.5
HCLS1
3
121361774
junction
blood
36.16

565
ENST00000474129.1
ABTB1
3
127395926
junction
blood
8.59

566
ENST00000475472.5
FGR
1
27961576
junction
blood
49.95

567
ENST00000475683.1
TUBA4A
2
220118578
junction
blood
10.51

568
ENST00000476050.5
TRAF3IP3
1
209942005
junction
blood
5.61

569
ENST00000476408.1
CD53
1
111422954
junction
blood
10.54

570
ENST00000476492.1
LAPTM5
1
31230506
junction
blood
6.02

571
ENST00000476532.1
SASH3
X
128914130
junction
blood
9.72

572
ENST00000477720.1
LILRA5
19
54822684
junction
blood
16.70

573
ENST00000478298.5
ABTB1
3
127395424
junction
blood
6.71

574
ENST00000478902.1
ZDHHC18
1
27177722
junction
blood
12.52

575
ENST00000479534.5
PADI2
1
17401351
junction
blood
5.78

576
ENST00000479996.1
RGS19
20
62710647
junction
blood
9.02

577
ENST00000480467.5
CDK5RAP2
9
123165521
junction
blood
16.88

578
ENST00000480825.6
CSF3R
1
36940978
junction
blood
127.36

579
ENST00000481215.1
RAC2
22
37627271
junction
blood
7.04

580
ENST00000481314.5
HCLS1
3
121379667
junction
blood
13.32

581
ENST00000481517.1
STAT5B
17
40369395
junction
blood
8.48

582
ENST00000481789.1
KCNAB2
1
6156816
junction
blood
8.66

583
ENST00000482429.1
LTB
6
31549336
junction
blood
5.85

584
ENST00000482543.1
PTK2B
8
27310677
junction
blood
9.94

585
ENST00000483665.6
FCGR2A
1
161475342
junction
blood
6.60

586
ENST00000483722.1
TREML2
6
41168692
junction
blood
15.58

587
ENST00000483750.5
WAS
X
48542374
junction
blood
34.49

588
ENST00000484216.1
HBA2
16
223006
junction
blood
296.56

589
ENST00000484762.1
CSF3R
1
36933423
junction
blood
8.26

590
ENST00000485335.1
IL1R2
2
102640083
junction
blood
12.15

591
ENST00000485341.5
LSP1
11
1902593
junction
blood
5.48

592
ENST00000485583.1
LRCH4
7
100183504
junction
blood
5.95

593
ENST00000485743.1
HBB
11
5248160
junction
blood
128.52

594
ENST00000485991.5
CFP
X
47489168
junction
blood
5.10

595
ENST00000486097.1
NCF1
7
74197975
junction
blood
12.51

596
ENST00000486327.6
DHX34
19
47870412
junction
blood
6.88

597
ENST00000486742.2
LILRA5
19
54824287
junction
blood
17.29

598
ENST00000486749.5
SLC2A3
12
8088616
junction
blood
9.53

599
ENST00000486935.2
SEMA4D
9
91996089
junction
blood
5.98

600
ENST00000487283.5
ZAP70
2
98349484
junction
blood
7.23

601
ENST00000487445.6
GCA
2
163200785
junction
blood
12.82

602
ENST00000487651.5
SLC12A9
7
100459206
junction
blood
6.67

603
ENST00000487761.5
GPSM3
6
32160249
junction
blood
14.37

604
ENST00000487791.1
HBA1
16
226810
junction
blood
29.54

605
ENST00000487871.1
SMAP2
1
40879912
junction
blood
36.53

606
ENST00000488945.5
GNLY
2
85912344
junction
blood
11.68

607
ENST00000488970.1
BTK
X
100608858
junction
blood
7.40

608
ENST00000489175.1
KCNE1
21
35884325
junction
blood
6.75

609
ENST00000489980.5
GNLY
2
85922546
junction
blood
14.53

610
ENST00000490763.1
SLC2A3
12
8082280
junction
blood
5.93

611
ENST00000490872.1
SLC11A1
2
219254751
junction
blood
26.15

612
ENST00000491376.5
IMPDH1
7
128049810
junction
blood
6.59

613
ENST00000493288.1
PGD
1
10473308
junction
blood
9.99

614
ENST00000493365.5
ABTB1
3
127391924
junction
blood
6.22

615
ENST00000493632.5
INPP5D
2
234078810
junction
blood
17.01

616
ENST00000493871.1
MPP1
X
154014479
junction
blood
6.09

617
ENST00000494080.5
CCDC88B
11
64109214
junction
blood
7.88

618
ENST00000494268.1
MSL3
X
11778428
junction
blood
6.22

619
ENST00000495406.1
CDK5RAP2
9
123152019
junction
blood
10.53

620
ENST00000496379.5
FES
15
91433192
junction
blood
7.77

621
ENST00000496915.1
PREX1
20
47258945
junction
blood
5.23

622
ENST00000497441.5
RASGRP2
11
64504225
junction
blood
12.78

623
ENST00000497615.1
NADK
1
1685983
junction
blood
9.43

624
ENST00000498461.1
ALOX5
10
45938985
junction
blood
13.87

625
ENST00000498666.5
ITGB2
21
46340736
junction
blood
13.12

626
ENST00000500323.2
DOK3
5
176935238
junction
blood
10.88

627
ENST00000502380.1
DOK3
5
176937261
junction
blood
8.44

628
ENST00000504910.1
HK3
5
176318389
junction
blood
6.36

629
ENST00000505207.5
UBE2D3
4
103746879
junction
blood
7.43

630
ENST00000509314.5
FBXL5
4
15661350
junction
blood
10.24

631
ENST00000509339.1
MXD3
5
176734782
junction
blood
30.07

632
ENST00000512426.5
CCND3
6
41908108
junction
blood
7.01

633
ENST00000512747.3
IL2RG
X
70331275
junction
blood
6.21

634
ENST00000513001.5
ACSL1
4
185678973
junction
blood
17.65

635
ENST00000517804.5
DMTN
8
21914647
junction
blood
7.30

636
ENST00000517813.1
DENND3
8
142195377
junction
blood
13.47

637
ENST00000517985.5
DENND3
8
142188295
junction
blood
9.36

638
ENST00000518135.1
TNFRSF10C
8
22972283
junction
blood
5.06

639
ENST00000518249.5
DENND3
8
142151423
junction
blood
9.51

640
ENST00000519594.5
LCP2
5
169724538
junction
blood
5.37

641
ENST00000520322.1
LCP2
5
169677734
junction
blood
5.68

642
ENST00000520450.5
DOCK2
5
169484670
junction
blood
11.23

643
ENST00000520571.1
DENND3
8
142199245
junction
blood
8.57

644
ENST00000520887.1
FAM49B
8
130859050
junction
blood
7.15

645
ENST00000521442.1
ATP6V1B2
8
20075793
junction
blood
8.33

646
ENST00000523015.1
DENND3
8
142154358
junction
blood
7.05

647
ENST00000523022.5
CA1
8
86290275
junction
blood
40.92

648
ENST00000523066.1
DENND3
8
142183840
junction
blood
6.75

649
ENST00000523266.5
DMTN
8
21917007
junction
blood
6.93

650
ENST00000523369.1
LCP2
5
169685041
junction
blood
9.88

651
ENST00000523530.1
DENND3
8
142202548
junction
blood
7.23

652
ENST00000523615.1
STK10
5
171488143
junction
blood
12.61

653
ENST00000526387.5
TBC1D10C
11
67171411
junction
blood
7.10

654
ENST00000526474.1
TBC1D10C
11
67172977
junction
blood
8.87

655
ENST00000527031.5
JAK3
19
17958755
junction
blood
6.17

656
ENST00000527146.1
IFITM2
11
308438
junction
blood
18.56

657
ENST00000527525.5
SIPA1
11
65407492
junction
blood
5.39

658
ENST00000528086.5
CD44
11
35160917
junction
blood
8.17

659
ENST00000528780.5
IFITM1
11
313691
junction
blood
47.88

660
ENST00000530119.5
TALDO1
11
747578
junction
blood
7.74

661
ENST00000530226.1
SIPA1
11
65413428
junction
blood
6.84

662
ENST00000530587.5
PHF21A
11
45959708
junction
blood
6.25

663
ENST00000531334.1
ECE1
1
21548240
junction
blood
5.78

664
ENST00000532028.1
PHF21A
11
45967391
junction
blood
5.50

665
ENST00000532362.1
CMTM2
16
66621001
junction
blood
114.27

666
ENST00000532897.5
MKNK1
1
47037735
junction
blood
6.23

667
ENST00000533815.2
BTNL8
5
180336697
junction
blood
5.72

668
ENST00000533968.1
SPI1
11
47399860
junction
blood
12.90

669
ENST00000534261.3
SIGLEC5
19
52148730
junction
blood
6.14

670
ENST00000534754.5
SORL1
11
121483541
junction
blood
9.84

671
ENST00000535615.5
CARS2
13
111317875
junction
blood
5.33

672
ENST00000536885.1
ARAP1
11
72399500
junction
blood
7.74

673
ENST00000536995.5
ATG16L2
11
72533340
junction
blood
11.55

674
ENST00000538842.1
ATG16L2
11
72527872
junction
blood
6.35

675
ENST00000539134.1
RELT
11
73104962
junction
blood
6.58

676
ENST00000540182.5
NLRC5
16
57074630
junction
blood
6.20

677
ENST00000540513.1
ACRBP
12
6747841
junction
blood
9.23

678
ENST00000541206.6
RNF166
16
88769198
junction
blood
11.36

679
ENST00000541800.6
PLBD1
12
14688593
junction
blood
6.78

680
ENST00000542481.1
ATG16L2
11
72535167
junction
blood
25.18

681
ENST00000542587.5
LPAR2
19
19739237
junction
blood
10.95

682
ENST00000543576.5
DENND1C
19
6481690
junction
blood
12.06

683
ENST00000544490.5
ATG16L2
11
72525608
junction
blood
30.13

684
ENST00000544997.5
FERMT3
11
63974286
junction
blood
7.56

685
ENST00000546704.1
ARHGAP9
12
57868658
junction
blood
19.20

686
ENST00000548139.5
ARHGAP9
12
57871784
junction
blood
15.20

687
ENST00000552953.5
ARHGAP9
12
57870373
junction
blood
24.58

688
ENST00000553070.5
NFE2
12
54694585
junction
blood
23.61

689
ENST00000553872.1
PYGL
14
51387674
junction
blood
8.64

690
ENST00000554736.5
GNG2
14
52328108
junction
blood
9.30

691
ENST00000556418.1
RIN3
14
93119420
junction
blood
12.65

692
ENST00000558177.5
ANPEP
15
90345638
junction
blood
11.96

693
ENST00000558332.3
IL16
15
81592816
junction
blood
7.66

694
ENST00000558588.5
PLCB2
15
40599790
junction
blood
12.82

695
ENST00000559341.5
MAN2A2
15
91459486
junction
blood
8.61

696
ENST00000560064.1
PSTPIP1
15
77328276
junction
blood
5.96

697
ENST00000561175.1
ADAM8
10
135085920
junction
blood
6.86

698
ENST00000562129.1
CORO1A
16
30199570
junction
blood
14.38

699
ENST00000562759.1
ST20
15
80199971
junction
blood
5.59

700
ENST00000562918.5
ITGAX
16
31366612
junction
blood
10.15

701
ENST00000563269.1
PLCG2
16
81965259
junction
blood
6.38

702
ENST00000563526.5
CYBA
16
88717364
junction
blood
7.13

703
ENST00000564072.1
SLCO3A1
15
92706776
junction
blood
8.74

704
ENST00000564572.1
CNN2
19
1039063
junction
blood
5.34

705
ENST00000564632.1
ITGAL
16
30531288
junction
blood
12.98

706
ENST00000564707.1
AHSP
16
31539335
junction
blood
6.85

707
ENST00000564768.1
CORO1A
16
30198544
junction
blood
6.01

708
ENST00000564894.1
RNF166
16
88767670
junction
blood
7.90

709
ENST00000564905.1
XPO6
16
28145162
junction
blood
12.98

710
ENST00000565076.1
SIRPB1
20
1552366
junction
blood
5.74

711
ENST00000565284.5
XPO6
16
28163980
junction
blood
14.84

712
ENST00000565497.5
CORO1A
16
30195046
junction
blood
6.42

713
ENST00000566082.1
USB1
16
58051343
junction
blood
6.82

714
ENST00000567034.5
CORO1A
16
30198041
junction
blood
11.54

715
ENST00000567038.1
XPO6
16
28113168
junction
blood
8.97

716
ENST00000567178.1
ITGAM
16
31339551
junction
blood
23.09

717
ENST00000568760.5
DEF8
16
90024068
junction
blood
7.24

718
ENST00000570106.6
SIGLEC5
19
52133552
junction
blood
40.53

719
ENST00000570439.1
ACAP1
17
7253547
junction
blood
5.27

720
ENST00000570473.5
TRIM25
17
54981616
junction
blood
5.32

721
ENST00000570755.1
MMP25
16
3097548
junction
blood
31.89

722
ENST00000571206.1
ARRB2
17
4619328
junction
blood
26.58

723
ENST00000571220.1
ACAP1
17
7246881
junction
blood
29.18

724
ENST00000571303.1
MLKL
16
74725175
junction
blood
5.93

725
ENST00000571791.5
ARRB2
17
4614039
junction
blood
13.94

726
ENST00000572418.1
P2RX1
17
3819383
junction
blood
9.95

727
ENST00000572666.5
CORO7
16
4411362
junction
blood
7.67

728
ENST00000572782.1
ARRB2
17
4618338
junction
blood
16.63

729
ENST00000574548.1
RNF167
17
4847933
junction
blood
6.40

730
ENST00000575441.1
MMP25
16
3107210
junction
blood
88.59

731
ENST00000576594.1
ACAP1
17
7250561
junction
blood
17.88

732
ENST00000576628.1
ACAP1
17
7240106
junction
blood
20.20

733
ENST00000576769.1
SLC43A2
17
1486498
junction
blood
5.40

734
ENST00000578574.1
SLC16A3
17
80186982
junction
blood
7.93

735
ENST00000581287.5
SLC16A3
17
80194107
junction
blood
11.97

736
ENST00000581974.1
DHRS13
17
27226145
junction
blood
5.97

737
ENST00000582174.5
FLOT2
17
27224544
junction
blood
6.46

738
ENST00000582812.5
NDEL1
17
8316587
junction
blood
9.15

739
ENST00000583093.5
SECTM1
17
80291576
junction
blood
7.78

740
ENST00000583810.5
PIK3R5
17
8785105
junction
blood
8.43

741
ENST00000584445.5
NARF
17
80439087
junction
blood
11.89

742
ENST00000585852.5
FMNL1
17
43308054
junction
blood
19.81

743
ENST00000586080.1
R3HDM4
19
900829
junction
blood
5.15

744
ENST00000587259.5
VMP1
17
57807378
junction
blood
10.58

745
ENST00000587265.1
CA4
17
58235488
junction
blood
5.45

746
ENST00000587287.1
RASGRP4
19
38901755
junction
blood
6.80

747
ENST00000587444.1
VASP
19
46029261
junction
blood
6.41

748
ENST00000587856.1
FMNL1
17
43311567
junction
blood
22.20

749
ENST00000588708.5
RASGRP4
19
38907692
junction
blood
24.68

750
ENST00000589261.5
ICAM3
19
10450215
junction
blood
6.41

751
ENST00000589911.1
FMNL1
17
43322783
junction
blood
7.99

752
ENST00000590227.5
DNAH17
17
76445496
junction
blood
5.85

753
ENST00000590856.1
UNC13D
17
73826659
junction
blood
6.33

754
ENST00000590974.1
LYL1
19
13213345
junction
blood
5.48

755
ENST00000591616.1
UNC13D
17
73831001
junction
blood
7.12

756
ENST00000592527.1
FMNL1
17
43310664
junction
blood
7.31

757
ENST00000594221.5
STXBP2
19
7706739
junction
blood
6.21

758
ENST00000594696.1
PRAM1
19
8555984
junction
blood
17.63

759
ENST00000594743.1
CD37
19
49840478
junction
blood
8.07

760
ENST00000595046.1
MYO1F
19
8641326
junction
blood
6.90

761
ENST00000595325.5
MYO1F
19
8642191
junction
blood
13.66

762
ENST00000595596.1
GRAMD1A
19
35504595
junction
blood
5.53

763
ENST00000595725.5
CD37
19
49838866
junction
blood
20.04

764
ENST00000596937.1
MYO1F
19
8615044
junction
blood
6.21

765
ENST00000597222.1
MYO1F
19
8604831
junction
blood
29.52

766
ENST00000597611.7
FKBP8
19
18654719
junction
blood
9.25

767
ENST00000598005.1
MYO1F
19
8606797
junction
blood
17.89

768
ENST00000598201.5
SHKBP1
19
41086391
junction
blood
12.36

769
ENST00000598529.5
MYO1F
19
8619361
junction
blood
16.08

770
ENST00000598907.5
SHKBP1
19
41084448
junction
blood
14.71

771
ENST00000599123.1
MYO1F
19
8620543
junction
blood
7.54

772
ENST00000599180.2
FFAR2
19
35939281
junction
blood
24.79

773
ENST00000599662.1
CEACAM3
19
42312968
junction
blood
9.48

774
ENST00000599694.1
RASAL3
19
15567313
junction
blood
6.37

775
ENST00000599716.5
SHKBP1
19
41082891
junction
blood
10.66

776
ENST00000600463.1
IFI30
19
18286032
junction
blood
6.41

777
ENST00000600885.1
MYO1F
19
8592222
junction
blood
5.95

778
ENST00000601502.1
MYO1F
19
8610534
junction
blood
8.05

779
ENST00000602101.6
RASAL3
19
15575316
junction
blood
7.16

780
ENST00000602136.1
MYO1F
19
8612920
junction
blood
7.01

781
ENST00000602166.1
EGLN2
19
41313179
junction
blood
5.19

782
ENST00000602612.5
KCNAB2
1
6086505
junction
blood
5.03

783
ENST00000605039.5
BIN2
12
51717806
junction
blood
11.02

784
ENST00000607855.5
CD177
19
43857918
junction
blood
5.94

785
ENST00000609870.5
CELF2
10
11207645
junction
blood
12.41

786
ENST00000611028.2
FOLR3
11
71846814
junction
blood
11.13

787
ENST00000614135.4
RASGRP4
19
38916709
junction
blood
8.18

788
ENST00000614254.1
AOAH
7
36570024
junction
blood
14.33

789
ENST00000616356.4
FCN1
9
137809615
junction
blood
16.99

790
ENST00000619100.4
SLC38A5
X
48325349
junction
blood
10.86

791
ENST00000621510.1
AOAH
7
36554078
junction
blood
19.27

792
ENST00000622764.1
SAP25
7
100171220
junction
blood
5.94

Columns

ID: feature index

Transcript: transcript ID

Gene: gene name

Chr: chromosome

Site: coordinate of nucleosome-depleted site (GRCh37)

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

FPKM_blood: FPKM value in normal blood. Their FPKM values in tumors of 20 cancer types are all <1.

TABLE S11

Observed ctDNA fractions in the LOD

analysis for the CRC + BRCA model.

Expected ctDNA
Observed ctDNA

Sample
Group
fractions
fraction

1279_221015-0.005
positive
0.0050
0.0194

1279_221015-0.010
positive
0.0100
0.0245

1279_221015-0.015
positive
0.0150
0.0364

1279_221015-0.020
positive
0.0200
0.0361

1279_221015-0.025
positive
0.0250
0.0482

1279_221015-0.030
positive
0.0300
0.0515

1279_221015-0.035
positive
0.0350
0.0597

1279_221015-0.040
positive
0.0400
0.0721

1279_221015-0.045
positive
0.0450
0.0631

1279_221015-0.050
positive
0.0500
0.0652

1279_221015-0.075
positive
0.0750
0.0837

1279_221015-0.100
positive
0.1000
0.1084

1279_221015-0.125
positive
0.1250
0.1332

1279_221015-0.150
positive
0.1500
0.1566

1279_221015-0.175
positive
0.1750
0.1561

1279_221015-0.200
positive
0.2000
0.1770

1279_221015-0.225
positive
0.2250
0.1910

1279_221015-0.250
positive
0.2500
0.2421

1279_221015-0.275
positive
0.2750
0.2313

1279_221015-0.300
positive
0.3000
0.2821

1279_221015-0.325
positive
0.3250
0.3011

1279_221015-0.350
positive
0.3500
0.3237

1279_221015-0.375
positive
0.3750
0.3630

1279_221015-0.400
positive
0.4000
0.3893

1279_221015-0.425
positive
0.4250
0.4190

1279_221015-0.450
positive
0.4500
0.4658

1279_221015-0.475
positive
0.4750
0.4764

1279_221015-0.500
positive
0.5000
0.4699

1279_241116-0.005
positive
0.0050
0.0252

1279_241116-0.010
positive
0.0100
0.0143

1279_241116-0.015
positive
0.0150
0.0230

1279_241116-0.020
positive
0.0200
0.0242

1279_241116-0.025
positive
0.0250
0.0385

1279_241116-0.030
positive
0.0300
0.0310

1279_241116-0.035
positive
0.0350
0.0426

1279_241116-0.040
positive
0.0400
0.0407

1279_241116-0.045
positive
0.0450
0.0418

1279_241116-0.050
positive
0.0500
0.0457

1279_241116-0.075
positive
0.0750
0.0761

1279_241116-0.100
positive
0.1000
0.1275

1279_241116-0.125
positive
0.1250
0.1369

1279_241116-0.150
positive
0.1500
0.1199

1279_241116-0.175
positive
0.1750
0.1242

1279_241116-0.200
positive
0.2000
0.1394

1279_241116-0.225
positive
0.2250
0.1577

1279_241116-0.250
positive
0.2500
0.1860

1279_241116-0.275
positive
0.2750
0.2301

1279_241116-0.300
positive
0.3000
0.2666

1279_241116-0.325
positive
0.3250
0.3036

1279_241116-0.350
positive
0.3500
0.2946

1279_241116-0.375
positive
0.3750
0.3256

1279_241116-0.400
positive
0.4000
0.3788

1279_241116-0.425
positive
0.4250
0.4033

1279_241116-0.450
positive
0.4500
0.4591

1279_241116-0.475
positive
0.4750
0.4359

1279_241116-0.490
positive
0.4900
0.4611

512_051015-0.005
positive
0.0050
0.0273

512_051015-0.010
positive
0.0100
0.0221

512_051015-0.015
positive
0.0150
0.0301

512_051015-0.020
positive
0.0200
0.0252

512_051015-0.025
positive
0.0250
0.0283

512_051015-0.030
positive
0.0300
0.0233

512_051015-0.035
positive
0.0350
0.0485

512_051015-0.040
positive
0.0400
0.0712

512_051015-0.045
positive
0.0450
0.0793

512_051015-0.050
positive
0.0500
0.0947

512_051015-0.075
positive
0.0750
0.1269

512_051015-0.100
positive
0.1000
0.1528

512_051015-0.125
positive
0.1250
0.1788

512_051015-0.150
positive
0.1500
0.2018

512_051015-0.175
positive
0.1750
0.2097

512_051015-0.200
positive
0.2000
0.2359

512_051015-0.225
positive
0.2250
0.2709

512_051015-0.250
positive
0.2500
0.2759

512_051015-0.275
positive
0.2750
0.2731

512_051015-0.300
positive
0.3000
0.2930

512_051015-0.325
positive
0.3250
0.3230

512_051015-0.350
positive
0.3500
0.3364

512_051015-0.375
positive
0.3750
0.3723

512_051015-0.400
positive
0.4000
0.4192

512_051015-0.425
positive
0.4250
0.4303

512_051015-0.450
positive
0.4500
0.4825

512_051015-0.475
positive
0.4750
0.4897

512_051015-0.500
positive
0.5000
0.5015

512_051015-0.525
positive
0.5250
0.5312

512_051015-0.550
positive
0.5500
0.5683

512_051015-0.575
positive
0.5750
0.5989

512_051015-0.600
positive
0.6000
0.6028

512_051015-0.614
positive
0.6140
0.5969

512_130114-0.005
positive
0.0050
0.0308

512_130114-0.010
positive
0.0100
0.0283

512_130114-0.015
positive
0.0150
0.0118

512_130114-0.020
positive
0.0200
0.0000

512_130114-0.025
positive
0.0250
0.0167

512_130114-0.030
positive
0.0300
0.0283

512_130114-0.035
positive
0.0350
0.0565

512_130114-0.040
positive
0.0400
0.0616

512_130114-0.045
positive
0.0450
0.0454

512_130114-0.050
positive
0.0500
0.0398

512_130114-0.075
positive
0.0750
0.0774

512_130114-0.100
positive
0.1000
0.0893

512_130114-0.125
positive
0.1250
0.1541

512_130114-0.150
positive
0.1500
0.1891

512_130114-0.175
positive
0.1750
0.1988

512_130114-0.200
positive
0.2000
0.2222

512_130114-0.225
positive
0.2250
0.2824

512_130114-0.250
positive
0.2500
0.3523

512_130114-0.275
positive
0.2750
0.3871

512_130114-0.300
positive
0.3000
0.4119

512_130114-0.325
positive
0.3250
0.4908

512_130114-0.350
positive
0.3500
0.5099

512_130114-0.375
positive
0.3750
0.5502

512_130114-0.394
positive
0.3940
0.5966

D19-0.005
positive
0.0050
0.0226

D19-0.010
positive
0.0100
0.0232

D19-0.015
positive
0.0150
0.0205

D19-0.020
positive
0.0200
0.0316

D19-0.025
positive
0.0250
0.0438

D19-0.030
positive
0.0300
0.0458

D19-0.035
positive
0.0350
0.0525

D19-0.040
positive
0.0400
0.0458

D19-0.045
positive
0.0450
0.0405

D19-0.050
positive
0.0500
0.0400

D19-0.075
positive
0.0750
0.0745

D19-0.100
positive
0.1000
0.1132

D19-0.125
positive
0.1250
0.1275

D19-0.150
positive
0.1500
0.1471

D19-0.175
positive
0.1750
0.1751

D19-0.200
positive
0.2000
0.1870

D19-0.225
positive
0.2250
0.1984

D19-0.250
positive
0.2500
0.2162

D19-0.275
positive
0.2750
0.2241

D19-0.300
positive
0.3000
0.2362

D19-0.325
positive
0.3250
0.2530

D19-0.350
positive
0.3500
0.3078

D19-0.375
positive
0.3750
0.3103

D19-0.400
positive
0.4000
0.3277

D19-0.425
positive
0.4250
0.3472

D19-0.450
positive
0.4500
0.3787

D19-0.475
positive
0.4750
0.3919

D19-0.500
positive
0.5000
0.4156

D19-0.525
positive
0.5250
0.4327

D19-0.550
positive
0.5500
0.4640

D19-0.575
positive
0.5750
0.4798

D19-0.600
positive
0.6000
0.5154

D19-0.625
positive
0.6250
0.5406

D19-0.650
positive
0.6500
0.5359

D19-0.675
positive
0.6750
0.5388

D19-0.700
positive
0.7000
0.5457

D19-0.725
positive
0.7250
0.5634

D19-0.7363
positive
0.7363
0.5554

E2c-0.005
positive
0.0050
0.0033

E2c-0.010
positive
0.0100
0.0041

E2c-0.015
positive
0.0150
0.0371

E2c-0.020
positive
0.0200
0.0500

E2c-0.025
positive
0.0250
0.0740

E2c-0.030
positive
0.0300
0.0815

E2c-0.035
positive
0.0350
0.0885

E2c-0.040
positive
0.0400
0.0859

E2c-0.045
positive
0.0450
0.0961

E2c-0.050
positive
0.0500
0.1203

E2c-0.075
positive
0.0750
0.1333

E2c-0.100
positive
0.1000
0.1525

E2c-0.125
positive
0.1250
0.1676

E2c-0.150
positive
0.1500
0.1783

E2c-0.175
positive
0.1750
0.2136

E2c-0.200
positive
0.2000
0.2138

E2c-0.225
positive
0.2250
0.2539

E2c-0.250
positive
0.2500
0.3305

E2c-0.275
positive
0.2750
0.3979

E2c-0.300
positive
0.3000
0.4422

E2c-0.325
positive
0.3250
0.4868

E2c-0.350
positive
0.3500
0.5341

E2c-0.375
positive
0.3750
0.5800

E2c-0.400
positive
0.4000
0.5747

E2c-0.4122
positive
0.4122
0.5703

E6c-0.005
positive
0.0050
0.0165

E6c-0.010
positive
0.0100
0.0221

E6c-0.015
positive
0.0150
0.0206

E6c-0.020
positive
0.0200
0.0395

E6c-0.025
positive
0.0250
0.0451

E6c-0.030
positive
0.0300
0.0589

E6c-0.035
positive
0.0350
0.0643

E6c-0.040
positive
0.0400
0.0687

E6c-0.045
positive
0.0450
0.0750

E6c-0.050
positive
0.0500
0.0744

E6c-0.075
positive
0.0750
0.1185

E6c-0.100
positive
0.1000
0.1275

E6c-0.125
positive
0.1250
0.1787

E6c-0.150
positive
0.1500
0.2008

E6c-0.175
positive
0.1750
0.2179

E6c-0.200
positive
0.2000
0.2374

E6c-0.225
positive
0.2250
0.2570

E6c-0.250
positive
0.2500
0.3111

E6c-0.275
positive
0.2750
0.3204

E6c-0.300
positive
0.3000
0.3706

E6c-0.325
positive
0.3250
0.4481

E6c-0.350
positive
0.3500
0.4578

E6c-0.375
positive
0.3750
0.4920

E6c-0.400
positive
0.4000
0.5168

E6c-0.425
positive
0.4250
0.5272

E6c-0.450
positive
0.4500
0.5648

E6c-0.475
positive
0.4750
0.5723

E6c-0.500
positive
0.5000
0.6091

E6c-0.525
positive
0.5250
0.6031

E6c-0.5386
positive
0.5386
0.5896

sub-healthy-1
negative
0.0000
0.0187

sub-healthy-2
negative
0.0000
0.0122

sub-healthy-3
negative
0.0000
0.0193

sub-healthy-4
negative
0.0000
0.0179

sub-healthy-5
negative
0.0000
0.0040

sub-healthy-6
negative
0.0000
0.0188

sub-healthy-7
negative
0.0000
0.0155

sub-healthy-8
negative
0.0000
0.0157

sub-healthy-9
negative
0.0000
0.0151

sub-healthy-10
negative
0.0000
0.0148

sub-healthy-11
negative
0.0000
0.0099

sub-healthy-12
negative
0.0000
0.0241

sub-healthy-13
negative
0.0000
0.0136

sub-healthy-14
negative
0.0000
0.0129

sub-healthy-15
negative
0.0000
0.0020

sub-healthy-16
negative
0.0000
0.0050

sub-healthy-17
negative
0.0000
0.0128

sub-healthy-18
negative
0.0000
0.0087

sub-healthy-19
negative
0.0000
0.0084

sub-healthy-20
negative
0.0000
0.0012

sub-healthy-21
negative
0.0000
0.0067

sub-healthy-22
negative
0.0000
0.0218

sub-healthy-23
negative
0.0000
0.0208

sub-healthy-24
negative
0.0000
0.0138

sub-healthy-25
negative
0.0000
0.0227

sub-healthy-26
negative
0.0000
0.0079

sub-healthy-27
negative
0.0000
0.0178

sub-healthy-28
negative
0.0000
0.0262

sub-healthy-29
negative
0.0000
0.0157

sub-healthy-30
negative
0.0000
0.0195

sub-healthy-31
negative
0.0000
0.0075

sub-healthy-32
negative
0.0000
0.0011

sub-healthy-33
negative
0.0000
0.0114

sub-healthy-34
negative
0.0000
0.0045

sub-healthy-35
negative
0.0000
0.0143

sub-healthy-36
negative
0.0000
0.0131

sub-healthy-37
negative
0.0000
0.0168

sub-healthy-38
negative
0.0000
0.0065

sub-healthy-39
negative
0.0000
0.0026

sub-healthy-40
negative
0.0000
0.0028

TABLE S12

A panel of 77 genes for screening breast cancer samples.

CDH1
ARID1A
MAGI3
FLT3
SMARCB1
RNF43
FGFR2

CDKN2A
ATR
MDM2
GNA11
SMO
APC
MET

HRAS
AURKA
MDM4
GNAQ
VHL
EGFR
FGFR3

JAK2
BRCA1
KMT2C
GNAS
BRAF
ZNRF3
ALK

JAK3
BRCA2
NOTCH4
HNF1A
KRAS
ATM
MAP2K1

NF1
CDKN1B
TSC1
IDH1
NRAS
PTEN
MTOR

NOTCH1
DOT1L
TSC2
IDH2
PIK3CA
CTNNB1
MAP2K4

RB1
ERBB3
ABL1
KDR
PIK3R1
MLH1
MAP3K1

RET
ESR1
CSF1R
MPL
SMAD4
ERBB2
AKT1

SRC
GATA3
DDR2
NPM1
TP53
ERBB4
PDGFRA

STK11
JAK1
EZH2
PTPN11
FBXW7
FGFR1
KIT

TABLE S13

Transcript expression data.

sample

source
tissue
size
download URLs

GTEx
whole blood
337
https://toil.xenahubs.net/download/gtex_RSEM_isoform_fpkm.gz

TCGA
tumor of colorectal
372
https://toil.xenahubs.net/download/tcga_RSEM_isoform_fpkm.gz

cancer (CRC)

TABLE S14

Information on all predictive features for colorectal cancer

Feature ID
MAE

59 86 475 703 760 790
0.017

70 256 268 322 379 903
0.019

72 86 703 760 790 900
0.019

70 78 268 322 364 475
0.020

86 553 703 760 790 900
0.020

59 86 703 760 790 900
0.020

72 86 760 790 900 905
0.020

256 268 322 379 475 553
0.020

70 268 322 364 571 903
0.021

70 161 268 322 571 903
0.021

161 268 322 359 553 903
0.021

86 703 760 790 900 905
0.021

78 268 284 322 571 903
0.021

256 268 284 322 359 379
0.021

115 161 268 744 903 905
0.021

70 78 268 284 322 903
0.021

161 268 284 359 553 903
0.021

70 115 268 322 571 903
0.021

284 355 379 475 571 788
0.021

70 268 284 322 571 903
0.021

59 78 126 154 181 639
0.021

86 703 760 788 790 900
0.021

70 161 181 322 480 903
0.021

59 86 703 760 790 905
0.021

124 181 256 485 744 905
0.021

70 161 268 284 322 903
0.022

70 115 161 268 359 903
0.022

115 161 268 553 884 905
0.022

124 161 268 553 673 905
0.022

70 268 284 322 364 903
0.022

59 124 126 153 161 250
0.022

70 124 161 268 322 903
0.022

115 161 181 553 673 905
0.022

161 268 322 359 553 571
0.022

124 163 268 485 553 673
0.022

70 268 571 839 903 905
0.022

78 268 284 322 884 903
0.022

268 322 359 379 475 553
0.022

124 181 485 571 673 744
0.022

268 284 322 553 884 903
0.022

78 115 124 268 322 903
0.022

124 284 475 480 673 788
0.022

126 568 604 714 777 830
0.022

70 161 268 284 903 905
0.022

59 86 553 703 760 790
0.022

268 322 379 475 553 905
0.022

67 124 161 181 284 673
0.022

268 359 379 475 553 905
0.023

70 268 284 322 884 903
0.023

115 284 359 485 571 777
0.023

268 284 359 379 475 553
0.023

268 322 777 788 884 903
0.023

70 181 322 475 480 884
0.023

78 161 258 234 322 903
0.023

115 161 268 284 903 905
0.023

115 124 181 284 447 485
0.023

115 181 284 571 824 903
0.023

70 124 161 268 673 903
0.023

67 124 181 485 673 744
0.023

67 124 181 673 830 839
0.023

70 268 284 322 673 903
0.023

70 124 161 268 903 905
0.023

70 161 268 839 903 905
0.023

70 115 124 268 903 905
0.023

59 86 703 760 788 790
0.023

39 447 466 595 604 639
0.023

124 161 181 256 673 744
0.023

70 470 480 485 639 858
0.023

70 115 181 475 571 884
0.023

268 359 379 475 553 788
0.023

70 115 268 379 571 900
0.023

70 124 161 181 903 905
0.023

72 154 284 777 788 884
0.024

124 161 268 553 903 305
0.024

336 540 632 714 793 874
0.024

70 181 336 830 839 884
0.024

70 115 124 268 571 903
0.024

2 256 336 529 632 682
0.024

161 256 268 336 475 905
0.024

379 553 571 788 858 900
0.024

268 284 322 673 788 903
0.024

115 124 161 181 284 447
0.024

70 268 284 788 903 905
0.024

115 284 480 485 529 777
0.024

359 475 553 571 788 900
0.024

70 161 181 571 884 903
0.024

161 181 744 884 903 905
0.024

70 161 181 284 884 903
0.024

115 124 268 322 379 673
0.024

268 284 322 788 884 903
0.024

82 217 477 487 629 717
0.024

268 359 379 475 571 788
0.024

161 268 284 322 673 903
0.024

126 466 470 639 793 858
0.024

2 39 256 395 619 839
0.024

124 126 161 181 284 673
0.024

2 115 324 181 359 830
0.025

359 379 475 553 571 900
0.025

124 161 181 673 744 830
0.025

70 151 268 284 673 903
0.025

124 181 256 359 485 830
0.025

124 181 364 673 788 903
0.025

115 161 181 359 485 673
0.025

480 485 673 721 744 858
0.025

70 475 571 788 900 905
0.025

284 379 475 788 900 905
0.025

78 153 322 568 830 884
0.025

70 379 475 571 788 900
0.025

124 161 181 284 364 673
0.025

115 124 161 181 673 744
0.025

2 337 384 395 839 899
0.025

161 256 268 359 379 573
0.025

284 322 788 884 903 905
0.025

115 161 268 284 673 903
0.025

364 410 525 542 793 839
0.025

70 115 124 161 181 905
0.025

124 268 284 322 788 903
0.025

115 154 359 480 485 830
0.025

78 154 364 542 619 796
0.025

84 336 359 466 632 858
0.025

359 379 475 553 788 884
0.025

379 553 571 788 900 905
0.025

72 126 204 542 714 796
0.025

78 124 181 359 485 830
0.025

181 256 359 485 777 830
0.025

268 359 379 475 788 884
0.025

115 124 161 268 903 905
0.025

78 115 154 364 604 830
0.025

359 379 475 553 571 788
0.025

181 256 485 555 673 744
0.025

124 181 256 284 673 830
0.025

115 126 161 284 903 905
0.025

78 154 364 485 568 830
0.025

39 256 525 568 619 839
0.025

115 154 181 256 485 905
0.026

181 202 284 322 673 884
0.026

78 204 364 525 542 632
0.026

181 284 322 673 777 884
0.026

115 161 181 673 744 884
0.026

364 563 619 830 858 884
0.026

284 322 571 788 884 903
0.026

181 284 322 480 903 905
0.026

115 124 161 181 284 673
0.026

32 122 202 286 487 594
0.026

115 161 268 322 884 903
0.026

72 153 247 250 591 594
0.026

70 115 161 268 234 903
0.026

70 181 478 721 744 884
0.026

115 124 181 673 744 830
0.026

70 124 181 788 903 905
0.026

284 359 379 475 553 571
0.026

78 154 542 568 721 830
0.026

78 126 256 522 542 639
0.026

161 268 284 322 359 903
0.026

124 161 268 322 379 673
0.026

67 332 455 580 704 904
0.026

268 322 359 571 788 903
0.026

2 256 464 540 568 874
0.026

154 480 485 568 673 744
0.026

124 161 268 673 788 903
0.026

70 395 410 540 702 874
0.026

161 268 322 364 673 903
0.026

124 181 256 359 744 830
0.026

181 284 322 485 721 903
0.026

59 336 470 632 721 858
0.026

39 256 337 407 702 839
0.026

67 124 181 284 364 903
0.026

359 619 721 744 830 884
0.026

181 284 322 359 485 884
0.026

268 284 322 359 379 903
0.026

124 181 284 359 364 485
0.026

268 379 475 571 788 900
0.026

70 124 126 256 470 830
0.026

2 115 154 604 619 830
0.026

115 154 359 480 721 777
0.026

153 256 336 359 410 639
0.026

84 359 604 619 830 858
0.026

39 204 632 793 858 901
0.026

67 78 124 126 256 364
0.026

322 359 379 475 788 884
0.027

59 161 181 673 744 884
0.027

181 364 673 721 744 903
0.027

181 284 322 485 673 777
0.027

78 204 632 682 721 858
0.027

161 181 322 673 744 884
0.027

115 124 161 181 673 905
0.027

70 364 480 542 619 721
0.027

70 379 475 788 900 905
0.027

268 322 359 379 673 903
0.027

96 122 202 447 675 695
0.027

59 78 115 525 619 744
0.027

322 359 379 553 571 788
0.027

59 124 161 181 322 903
0.027

78 154 250 478 777 796
0.027

322 359 379 475 571 788
0.027

284 359 379 475 553 788
0.027

154 181 284 322 673 777
0.027

124 268 359 379 475 571
0.027

161 268 284 322 884 903
0.027

70 480 542 639 682 721
0.027

161 181 202 284 884 903
0.027

78 124 161 268 284 903
0.027

78 124 181 673 744 830
0.027

115 322 604 744 777 830
0.027

70 124 181 256 284 903
0.027

124 359 379 475 788 905
0.027

139 250 336 364 542 796
0.027

322 359 480 673 721 744
0.027

154 364 480 485 542 619
0.027

78 126 364 632 777 796
0.027

59 639 682 793 796 858
0.027

204 478 542 639 721 793
0.027

67 468 487 721 780 899
0.027

451 522 525 542 619 793
0.027

126 161 181 673 903 905
0.027

39 237 384 702 727 796
0.027

124 161 368 571 673 903
0.027

124 161 181 359 485 744
0.027

126 154 466 639 682 858
0.027

115 410 525 744 777 830
0.027

59 161 181 202 480 744
0.027

379 475 553 571 788 900
0.027

35 39 153 464 540 796
0.027

161 181 485 673 744 884
0.027

59 73 126 153 154 884
0.027

126 336 348 466 721 852
0.027

115 124 480 673 744 905
0.027

115 181 485 673 744 839
0.027

78 126 154 485 568 777
0.027

78 182 284 322 485 777
0.027

78 154 181 284 485 777
0.027

322 359 475 553 571 788
0.027

59 161 268 322 364 903
0.027

2 39 337 702 766 899
0.027

204 364 542 619 714 796
0.027

70 379 475 571 900 905
0.027

67 153 429 540 568 874
0.027

359 379 475 788 884 905
0.027

59 124 161 181 673 903
0.027

78 154 364 568 777 830
0.027

70 115 124 268 485 903
0.027

359 379 475 571 788 905
0.027

72 109 202 348 410 473
0.027

256 447 468 469 568 717
0.028

18 217 391 455 480 717
0.028

268 284 379 475 788 900
0.028

42 407 522 568 721 896
0.028

70 72 542 639 744 796
0.028

70 126 181 478 571 839
0.028

70 126 470 480 639 858
0.028

59 124 161 359 485 830
0.028

2 18 410 525 632 839
0.028

59 475 553 673 703 788
0.028

204 256 525 568 682 793
0.028

181 284 322 485 777 884
0.028

70 153 322 568 830 884
0.028

115 124 447 702 830 858
0.028

78 126 154 639 793 858
0.028

67 451 455 470 568 766
0.028

395 540 632 714 793 874
0.028

39 204 480 542 632 793
0.028

59 379 475 571 673 788
0.028

379 475 553 788 884 905
0.028

78 115 256 470 788 830
0.028

161 268 673 788 903 905
0.028

124 181 322 364 485 673
0.028

359 379 475 553 571 884
0.028

126 529 632 639 793 858
0.028

18 466 639 744 858 884
0.028

268 379 475 788 900 905
0.028

410 466 470 480 525 744
0.028

78 115 154 485 744 830
0.028

115 154 181 359 485 903
0.028

447 468 529 704 841 867
0.028

39 337 714 766 793 842
0.028

70 256 336 395 632 839
0.028

161 268 284 485 673 903
0.028

78 154 181 485 777 839
0.028

139 384 455 525 568 830
0.028

78 154 359 455 480 830
0.028

154 395 466 555 639 796
0.028

67 197 270 429 632 761
0.028

78 154 322 364 568 777
0.028

32 179 473 753 780 904
0.028

115 124 161 268 364 839
0.028

72 154 284 485 673 777
0.028

154 359 480 485 673 830
0.028

204 466 470 480 639 858
0.028

59 126 410 619 639 744
0.028

161 268 284 322 379 903
0.028

256 407 473 555 824 874
0.028

2 522 525 529 721 793
0.028

359 379 475 553 571 673
0.028

78 256 632 682 777 858
0.028

67 115 124 256 284 485
0.028

59 480 485 744 830 884
0.028

78 115 153 322 721 777
0.028

153 525 542 714 721 796
0.028

379 475 553 571 788 884
0.028

78 115 154 181 284 777
0.028

115 284 485 571 673 884
0.028

115 284 485 529 777 884
0.028

126 466 470 714 796 858
0.028

84 204 466 470 604 858
0.028

115 154 284 364 571 884
0.028

70 115 181 478 744 777
0.028

181 336 480 702 721 744
0.028

115 154 673 744 830 858
0.028

322 359 379 475 553 788
0.028

78 115 154 256 777 830
0.028

78 250 256 364 410 796
0.028

204 364 470 568 721 830
0.029

70 364 470 480 639 793
0.029

78 204 542 632 766 858
0.029

78 126 153 154 529 830
0.029

115 124 126 161 485 555
0.029

447 451 522 721 793 842
0.029

59 78 126 154 744 777
0.029

59 126 714 839 874 884
0.029

18 256 522 555 632 682
0.029

115 480 485 619 744 830
0.029

359 379 475 553 673 788
0.029

466 528 540 717 824 904
0.029

264 270 412 447 842 856
0.029

395 451 470 568 604 656
0.029

39 337 384 466 639 824
0.029

540 604 632 688 780 904
0.029

364 485 542 796 839 905
0.029

379 475 571 788 900 905
0.029

79 96 217 336 717 753
0.029

126 154 256 359 830 884
0.029

78 126 154 571 639 858
0.029

379 475 673 788 884 905
0.029

332 580 704 796 841 904
0.029

96 204 256 384 466 470
0.029

115 124 161 181 485 673
0.029

78 153 410 542 632 766
0.029

124 268 379 571 788 900
0.029

78 154 485 744 777 858
0.029

18 139 325 407 466 632
0.029

115 154 364 480 619 858
0.029

337 429 555 714 822 824
0.029

2 70 395 540 632 682
0.029

161 181 284 485 673 721
0.029

79 336 455 466 632 702
0.029

72 96 468 477 590 855
0.029

359 379 475 553 788 905
0.029

161 268 788 884 903 905
0.029

2 395 540 632 714 874
0.029

249 337 522 704 749 780
0.029

2 33 337 478 525 540
0.029

79 204 429 522 525 529
0.029

35 270 293 555 632 896
0.029

153 154 480 568 682 884
0.029

284 485 571 673 777 884
0.029

115 124 161 268 364 903
0.029

126 395 451 542 714 793
0.029

18 153 447 528 632 904
0.029

359 379 475 788 900 905
0.029

88 293 412 428 632 685
0.029

412 404 466 632 704 842
0.029

35 79 249 704 780 896
0.029

78 115 126 154 256 777
0.029

4 85 202 217 249 465
0.029

153 568 604 714 727 766
0.029

379 475 553 571 673 788
0.029

2 391 466 632 735 858
0.029

78 154 364 604 777 858
0.029

35 67 270 384 412 727
0.029

2 18 96 153 555 842
0.029

67 522 529 540 688 842
0.029

202 204 466 470 639 682
0.029

18 204 384 466 639 899
0.029

249 395 487 594 841 899
0.029

70 153 336 455 568 721
0.029

67 336 429 451 470 480
0.029

124 161 268 364 571 903
0.029

59 115 126 485 744 830
0.029

322 359 379 475 553 571
0.029

78 115 124 256 322 485
0.029

67 217 230 249 465 487
0.029

466 528 540 555 717 824
0.030

39 204 525 542 619 793
0.030

2 256 451 568 824 874
0.030

202 256 469 473 528 717
0.030

115 181 256 284 364 903
0.030

176 266 407 447 522 727
0.030

39 256 395 447 555 748
0.030

115 124 161 268 744 830
0.030

67 395 412 451 464 727
0.030

39 337 466 766 842 899
0.030

154 181 322 673 788 884
0.030

2 126 359 777 796 858
0.030

70 284 322 384 571 903
0.030

78 115 153 154 721 777
0.030

67 75 217 465 511 899
0.030

42 391 407 451 466 717
0.030

18 153 204 542 568 796
0.030

124 181 284 485 777 884
0.030

256 470 632 766 777 796
0.030

126 395 447 632 714 793
0.030

407 466 522 528 604 639
0.030

78 124 181 364 485 673
0.030

78 124 364 542 639 714
0.030

379 475 553 571 788 905
0.030

39 153 395 540 721 727
0.030

70 395 470 485 766 899
0.030

39 204 395 528 604 839
0.030

79 337 395 528 555 727
0.030

379 475 571 673 788 884
0.030

379 475 571 673 788 905
0.030

153 154 480 542 721 793
0.030

35 391 540 586 717 793
0.030

475 553 571 788 884 905
0.030

275 359 485 619 796 830
0.030

18 122 202 270 688 761
0.030

67 72 410 429 704 901
0.030

82 154 364 793 796 858
0.030

124 268 379 553 788 805
0.030

466 528 568 721 727 766
0.030

35 57 632 634 655 904
0.030

18 154 470 540 639 796
0.030

57 82 202 410 594 632
0.030

179 249 270 293 337 515
0.030

204 604 619 714 777 796
0.030

70 126 364 542 619 796
0.030

217 467 477 478 717 841
0.030

18 67 487 529 701 904
0.030

2 115 181 256 744 777
0.030

18 395 466 555 721 727
0.030

204 480 542 682 721 753
0.030

72 179 247 594 685 841
0.030

42 122 217 270 822 899
0.030

359 379 475 553 571 905
0.030

115 268 284 487 830 900
0.024

Columns

Feature ID: feature index (see Table S3 for feature details)

MAE: mean absolute error between observed and calculated ctDNA fractions from 344 samples

TABLE S15

Information on predictive features for colorectal cancer

ID
Transcript
Gene
Chr
Site
Region
Group
FPKM_blood
FPKM_tumor

2
ENST00000027335.7
CDH17
8
95220815
promoter
tumor
0.00
149.83

4
ENST00000162330.9
BCAR1
16
75285507
promoter
tumor
0.00
16.86

18
ENST00000245451.8
BMP4
14
54423529
promoter
tumor
0.00
16.43

32
ENST00000264144.4
LAMC2
1
183155423
promoter
tumor
0.01
31.46

35
ENST00000267101.7
ERBB3
12
56473645
promoter
tumor
0.00
40.98

39
ENST00000270560.3
TM4SF5
17
4675187
promoter
tumor
0.00
18.39

42
ENST00000278937.6
MPZL2
11
118134997
promoter
tumor
0.37
17.05

57
ENST00000300119.7
MYO1A
12
57443901
promoter
tumor
0.00
15.11

59
ENST00000300557.2
PRR15L
17
46035244
promoter
tumor
0.03
96.21

67
ENST00000310836.10
UGT8
4
115519611
promoter
tumor
0.04
14.08

70
ENST00000311620.6
ANKS4B
16
21244986
promoter
tumor
0.00
10.61

72
ENST00000317508.10
PRSS8
16
31147083
promoter
tumor
0.11
143.22

75
ENST00000318443.9
CD276
15
73976554
promoter
tumor
0.00
11.45

78
ENST00000322536.7
DDX10
11
108535752
promoter
tumor
0.75
10.84

79
ENST00000324038.6
FAM101A
12
124773710
promoter
tumor
0.00
10.08

82
ENST00000326587.11
MAGED1
X
51636698
promoter
tumor
0.60
16.14

84
ENST00000331243.4
FAM84A
2
14772824
promoter
tumor
0.01
33.07

85
ENST00000331595.8
BGN
X
152760397
promoter
tumor
0.60
74.92

86
ENST00000332149.9
TMPRSS2
21
42880086
promoter
tumor
0.02
43.57

88
ENST00000334047.11
F3
1
95007356
promoter
tumor
0.08
13.07

96
ENST00000352551.9
UBE2C
20
44441313
promoter
tumor
0.00
10.99

109
ENST00000358867.10
TMEM126B
11
85339629
promoter
tumor
0.47
17.68

115
ENST00000361084.9
RAB25
1
156030951
promoter
tumor
0.07
131.50

122
ENST00000367284.9
ELF3
1
201979645
promoter
tumor
0.02
50.55

124
ENST00000367976.3
CTGF
6
132272513
promoter
tumor
0.32
44.18

126
ENST00000368554.8
PRAP1
10
135122914
promoter
tumor
0.00
32.41

139
ENST00000374214.3
UQCC2
6
33679504
promoter
tumor
1.00
17.77

153
ENST00000380071.7
RFC3
13
34392186
promoter
tumor
0.48
15.11

154
ENST00000381134.7
ARSE
X
2882311
promoter
tumor
0.00
24.51

161
ENST00000394201.8
SCOC
4
141294797
promoter
tumor
0.53
14.61

176
ENST00000419308.6
FOXA2
20
22565101
promoter
tumor
0.00
13.51

179
ENST00000425042.6
HID1
17
72968829
promoter
tumor
0.23
13.99

181
ENST00000427250.5
LSR
19
35739905
promoter
tumor
0.00
13.66

197
ENST00000463201.2
PRAP1
10
135164879
promoter
tumor
0.00
54.46

202
ENST00000473336.5
RAB25
1
156031174
promoter
tumor
0.00
17.65

204
ENST00000478194.1
FERMT1
20
6074819
promoter
tumor
0.00
27.00

217
ENST00000497734.5
SRC
20
35973088
promoter
tumor
0.00
12.44

230
ENST00000532203.1
MRPL17
11
6704547
promoter
tumor
0.65
21.73

247
ENST00000554989.1
CKB
14
103987659
promoter
tumor
0.75
83.82

249
ENST00000558580.1
SORD
15
45328434
promoter
tumor
0.95
15.73

250
ENST00000561504.1
ADIRF
10
88728247
promoter
tumor
0.75
46.05

256
ENST00000588605.5
C19orf33
19
38794804
promoter
tumor
0.22
18.46

264
ENST00000597153.5
LGALS4
19
39303585
promoter
tumor
0.00
20.51

266
ENST00000600324.5
STAP2
19
4338818
promoter
tumor
0.02
13.85

268
ENST00000605618.5
LSR
19
35739922
promoter
tumor
0.22
31.85

270
ENST00000612794.1
GPX2
14
65409623
promoter
tumor
0.00
23.73

275
ENST00000619895.4
TMC4
19
54676865
promoter
tumor
0.35
33.05

284
ENST00000234347.9
PRTN3
19
840960
promoter
blood
13.78
0.00

286
ENST00000244709.8
TREM1
6
41254457
promoter
blood
67.12
0.63

293
ENST00000279452.10
CD44
11
35198175
promoter
blood
10.76
0.00

322
ENST00000355524.7
FCAR
19
55385736
promoter
blood
53.04
0.07

325
ENST00000356864.3
TNFRSF10C
8
22960103
promoter
blood
108.86
0.56

332
ENST00000367568.4
STX11
6
144471663
promoter
blood
24.42
0.79

336
ENST00000368737.4
S100A12
1
153348125
promoter
blood
1099.02
0.31

337
ENST00000371806.3
FCN1
9
137809809
promoter
blood
379.64
0.88

348
ENST00000380299.3
HBD
11
5255878
promoter
blood
138.84
0.07

359
ENST00000398421.6
NCF1
7
74188358
promoter
blood
11.04
0.04

364
ENST00000413580.5
PHOSPHO1
17
47308128
promoter
blood
42.76
0.05

379
ENST00000454703.6
ACSL1
4
185747273
promoter
blood
35.07
0.78

384
ENST00000465984.5
SLC11A1
2
219246911
promoter
blood
10.54
0.03

391
ENST00000480395.5
TRIM22
11
5717722
promoter
blood
17.36
0.70

395
ENST00000485743.1
HBB
11
5248302
promoter
blood
128.52
0.00

407
ENST00000496823.1
BCL6
3
187463247
promoter
blood
21.33
0.20

410
ENST00000509314.5
FBXL5
4
15661487
promoter
blood
10.24
0.00

412
ENST00000510784.6
FAM65B
6
25042396
promoter
blood
61.47
0.19

428
ENST00000535669.6
CD37
19
49838684
promoter
blood
33.70
0.19

429
ENST00000539932.5
SLC11A1
2
219246926
promoter
blood
50.32
0.02

447
ENST00000576628.1
ACAP1
17
7239916
promoter
blood
20.20
0.18

451
ENST00000585901.6
TYROBP
19
36399149
promoter
blood
13.40
0.19

455
ENST00000588673.3
OAZ1
19
2270290
promoter
blood
24.28
0.69

464
ENST00000595840.1
LRRC25
19
18508421
promoter
blood
36.84
0.88

465
ENST00000596426.5
CD37
19
49838691
promoter
blood
55.55
0.57

466
ENST00000596764.5
VAV1
19
6772739
promoter
blood
12.25
0.59

467
ENST00000597852.5
CD37
19
49838675
promoter
blood
13.98
0.20

468
ENST00000598034.5
GMFG
19
39826646
promoter
blood
43.77
0.45

469
ENST00000599180.2
FFAR2
19
35939203
promoter
blood
24.79
0.00

470
ENST00000599716.5
SHKBP1
19
41082793
promoter
blood
10.66
0.22

473
ENST00000602185.5
GMFG
19
39826645
promoter
blood
14.09
0.00

475
ENST00000605039.5
BIN2
12
51717938
promoter
blood
11.02
0.11

477
ENST00000612844.4
FOLR3
11
71846756
promoter
blood
13.11
0.00

478
ENST00000615439.4
RASGRP4
19
38916945
promoter
blood
10.11
0.00

480
ENST00000616356.4
FCN1
9
137809723
promoter
blood
16.99
0.07

485
ENST00000027335.7
CDH17
8
95220711
junction
tumor
0.00
149.83

487
ENST00000162330.9
BCAR1
16
75285369
junction
tumor
0.00
16.86

511
ENST00000262753.8
POF1B
X
84634644
junction
tumor
0.02
40.41

515
ENST00000264144.4
LAMC2
1
183155566
junction
tumor
0.01
31.46

522
ENST00000270560.3
TM4SF5
17
4675394
junction
tumor
0.00
18.39

525
ENST00000278937.6
MPZL2
11
118134811
junction
tumor
0.37
17.05

528
ENST00000290913.7
CHCHD6
3
126423242
junction
tumor
0.65
15.07

529
ENST00000291525.11
TFF3
21
43735403
junction
tumor
0.00
209.02

540
ENST00000300119.7
MYO1A
12
57443671
junction
tumor
0.00
15.11

542
ENST00000300557.2
PRR15L
17
46035023
junction
tumor
0.03
96.21

553
ENST00000311620.6
ANKS4B
16
21245222
junction
tumor
0.00
10.61

555
ENST00000317508.10
PRSS8
16
31146735
junction
tumor
0.11
143.22

568
ENST00000332149.9
TMPRSS2
21
42880008
junction
tumor
0.02
43.57

571
ENST00000334869.8
LGMN
14
93214834
junction
tumor
0.94
45.73

580
ENST00000354900.7
LSR
19
35740034
junction
tumor
0.75
31.22

586
ENST00000357166.10
ZDHHC9
X
128977672
junction
tumor
0.29
20.11

590
ENST00000358867.10
TMEM126B
11
85339732
junction
tumor
0.47
17.68

591
ENST00000360325.11
CLDN7
17
7165140
junction
tumor
0.09
133.65

594
ENST00000360779.3
SDCBP2
20
1309729
junction
tumor
0.00
17.84

595
ENST00000361084.9
RAB25
1
156031234
junction
tumor
0.07
131.50

604
ENST00000367976.3
CTGF
6
132272247
junction
tumor
0.32
44.18

619
ENST00000374214.3
UQCC2
6
33679326
junction
tumor
1.00
17.77

629
ENST00000379742.4
POSTN
13
38172745
junction
tumor
0.01
11.69

632
ENST00000381134.7
ARSE
X
2882265
junction
tumor
0.00
24.51

634
ENST00000389614.5
GPX2
14
65409223
junction
tumor
0.10
652.10

639
ENST00000394201.8
SCOC
4
141294871
junction
tumor
0.53
14.61

655
ENST00000425042.6
HID1
17
72968686
junction
tumor
0.23
13.99

656
ENST00000425340.2
FUT2
19
49199346
junction
tumor
0.02
13.10

673
ENST00000472782.1
ATP5G3
2
176046384
junction
tumor
0.62
10.87

675
ENST00000478194.1
FERMT1
20
6074721
junction
tumor
0.00
27.00

682
ENST00000494801.5
TCEAL4
X
102840552
junction
tumor
0.60
13.59

685
ENST00000497734.5
SRC
20
35973290
junction
tumor
0.00
12.44

688
ENST00000514985.5
SEPP1
5
42811938
junction
tumor
0.59
49.95

695
ENST00000528430.2
PPP1R16A
8
145726677
junction
tumor
0.92
22.33

701
ENST00000542056.1
GPRC5A
12
13044598
junction
tumor
0.00
23.91

702
ENST00000543445.5
LDHA
11
18416188
junction
tumor
0.00
71.47

703
ENST00000543623.5
PLCD3
17
43192462
junction
tumor
0.27
14.58

704
ENST00000546314.5
STARD10
11
72493311
junction
tumor
0.00
31.66

714
ENST00000559087.5
BMP4
14
54423477
junction
tumor
0.00
13.08

717
ENST00000581920.1
TYMS
18
667752
junction
tumor
0.88
11.79

721
ENST00000588605.5
C19orf33
19
38794923
junction
tumor
0.22
18.46

727
ENST00000597153.5
LGALS4
19
39303482
junction
tumor
0.00
20.51

735
ENST00000619895.4
TMC4
19
54676734
junction
tumor
0.35
33.05

744
ENST00000234347.9
PRTN3
19
841069
junction
blood
13.78
0.00

748
ENST00000246549.2
FFAR2
19
35942667
junction
blood
58.85
0.34

749
ENST00000246657.2
CCR7
17
38721652
junction
blood
11.89
0.75

753
ENST00000279452.10
CD44
11
35198287
junction
blood
10.76
0.00

760
ENST00000297239.10
SYTL3
6
159082417
junction
blood
10.79
0.54

761
ENST00000299663.7
CLEC4E
12
8693357
junction
blood
29.27
0.20

766
ENST00000310544.8
PHOSPHO1
17
47307830
junction
blood
30.92
0.08

777
ENST00000343534.9
C1orf162
1
112016652
junction
blood
37.68
0.74

780
ENST00000354352.9
SLC11A1
2
219247098
junction
blood
111.80
0.63

788
ENST00000367025.7
TRAF3IP3
1
209929654
junction
blood
17.52
0.64

790
ENST00000367535.7
NCF2
1
183559291
junction
blood
75.23
0.98

793
ENST00000368015.1
ARHGAP30
1
161039410
junction
blood
20.61
0.58

796
ENST00000371806.3
FCN1
9
137809615
junction
blood
379.64
0.88

822
ENST00000422400.6
VNN2
6
133078810
junction
blood
14.59
0.10

824
ENST00000433194.6
CDK5RAP2
9
123165594
junction
blood
22.55
0.52

830
ENST00000454703.6
ACSL1
4
185747070
junction
blood
35.07
0.78

839
ENST00000480395.5
TRIM22
11
5717885
junction
blood
17.36
0.70

841
ENST00000483750.5
WAS
X
48542374
junction
blood
34.49
0.17

842
ENST00000485743.1
HBB
11
5248160
junction
blood
128.52
0.00

852
ENST00000496823.1
BCL6
3
187463198
junction
blood
21.33
0.20

855
ENST00000509314.5
FBXL5
4
15661350
junction
blood
10.24
0.00

856
ENST00000509339.1
MXD3
5
176734782
junction
blood
30.07
0.08

858
ENST00000513001.5
ACSL1
4
185678973
junction
blood
17.65
0.10

867
ENST00000540998.5
CDC42SE1
1
151031955
junction
blood
10.52
0.00

874
ENST00000553070.5
NFE2
12
54694585
junction
blood
23.61
0.00

884
ENST00000578402.5
LIMD2
17
61777729
junction
blood
31.49
0.77

896
ENST00000595840.1
LRRC25
19
18508263
junction
blood
36.84
0.88

899
ENST00000599180.2
FFAR2
19
35939281
junction
blood
24.79
0.00

900
ENST00000599716.5
SHKBP1
19
41082891
junction
blood
10.66
0.22

901
ENST00000600626.1
C5AR2
19
47840426
junction
blood
12.99
0.11

903
ENST00000605039.5
BIN2
12
51717806
junction
blood
11.02
0.11

904
ENST00000611028.2
FOLR3
11
71846814
junction
blood
11.13
0.00

905
ENST00000615439.4
RASGRP4
19
38916709
junction
blood
10.11
0.00

Columns

ID: feature index, same as Table S3

Transcript: transcript ID

Gene: gene name

Chr: chromosome

Site: coordinate of nucleosome-depleted site (GRCh37)

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

FPKM_blood: FPKM value in normal blood

FPKM_tumor: FPKM value in tumor of colorectal cancer

TABLE S16

Information on additional predictive pan-cancer features

Feature ID
MAE

34 41 73 83 90 123 294 415 452 742
0.024

34 41 73 83 90 123 126 294 415 667
0.025

34 41 83 90 123 126 259 294 415 867
0.025

34 41 83 90 123 2 text missing or illegible when filed

4 415 452

7 789
0.026

41 73 83 90 123 294 376 415 452 742
0.026

34 41 73 83 text missing or illegible when filed

0 123 12

4 415 78

0.026

34 64 135 201 27 text missing or illegible when filed

415 653 735 772 778
0.026

41 73 83 90 123 12 text missing or illegible when filed

294 37

415 452
0.026

34 52 201 415 653 6 text missing or illegible when filed

735 7

3 772 77

0.026

41 73 83 90 123 12 text missing or illegible when filed

294 452 634 667
0.027

41 73 83 90 123 12 text missing or illegible when filed

294 415

67
0.027

41 7 text missing or illegible when filed

83 90 123 12 text missing or illegible when filed

294 37

415

67
0.027

34 41 73 83 90 123 128 294 376 415
0.027

41 83 90 123 126 294 376 415 634 667
0.027

41 text missing or illegible when filed

3 90 123 126 294 415 text missing or illegible when filed

34 667 742
0.027

41 73 83 90 123 294 37 text missing or illegible when filed

452 634

67
0.027

41 73 83 text missing or illegible when filed

0 123 128 294 452 text missing or illegible when filed

67 78

0.028

41 73 83 text missing or illegible when filed

0 123 12

294 452 742 78 text missing or illegible when filed

0.029

41 text missing or illegible when filed

3 90 123 126 25 text missing or illegible when filed

4 452 667 742
0.029

41 73 83 90 123 12 text missing or illegible when filed

294 421 452
0.029

41 73 83 text missing or illegible when filed

0 123 12

4 378 415
0.029

41 73 83 text missing or illegible when filed

0 123 12

294 37

452 742
0.029

97 137 205 454 634 653 text missing or illegible when filed

67 680 778 787
0.029

41 7 text missing or illegible when filed

83 90 123 126 25 text missing or illegible when filed

4 667
0.029

34 41 73 83 90 123 126 294 452 7 text missing or illegible when filed

0.030

34 41 73 83 90 123 259 294 452 667
0.030

34 41 73 83 90 123 126 259 294 452
0.030

34 41 73 83 90 123 126 294 376 452
0.030

41 83 90 12 text missing or illegible when filed

259 294 415 text missing or illegible when filed

34 667 742
0.030

41 83 90 123 2 text missing or illegible when filed

415

7 742 789
0.030

41 73 83 90 123 294 376 452 text missing or illegible when filed

7 789
0.030

41 73 83 90 123 12 text missing or illegible when filed

259 294 376 452
0.030

41 73 83 90 123 259 294 37 text missing or illegible when filed

634

7
0.030

34 41 73 83 90 123 126 135 2 text missing or illegible when filed

4 376
0.030

97 137 201 23 text missing or illegible when filed

278 348 415 454 772 778
0.031

41 73 83 90 123 128 294 37 text missing or illegible when filed

452 789
0.031

41 73 83 text missing or illegible when filed

0 123 128 249 37 text missing or illegible when filed

634 667
0.031

41 73 83 text missing or illegible when filed

0 123 12

4 376 421 742
0.031

34 41 73 83 90 123 12 text missing or illegible when filed

294 376 667
0.031

34 41 83 text missing or illegible when filed

0 123 12

4 37

7 742
0.031

text missing or illegible when filed

34 8

135 278 428 621 text missing or illegible when filed

80 7

8 78

0.031

41 73 83 text missing or illegible when filed

0 123 12

7 78

0.032

73 text missing or illegible when filed

3 90 123 126 13 text missing or illegible when filed

259 294 376 452
0.032

34 13 text missing or illegible when filed

236 278 428 text missing or illegible when filed

0 7

3 7

0.032

2 137 236 258 288 304 338 388 674 778
0.032

41 73 83 text missing or illegible when filed

0 123 12

34 667 742
0.032

34 137 201 23 text missing or illegible when filed

242 278 415 735 772 778
0.032

41 7 text missing or illegible when filed

0 123 12

4 37

7 742
0.032

41 73 83 text missing or illegible when filed

0 123 12

259 294 37 text missing or illegible when filed

67
0.032

41 73 83 text missing or illegible when filed

0 123 126 294 6 text missing or illegible when filed

7 742 789
0.032

34 89 135 205 242 428 621 680 768 789
0.032

34 41 73 83 text missing or illegible when filed

0 123 12

294 667 742
0.032

34 41 73 83 text missing or illegible when filed

0 123 12

294

67 7

0.032

34 37 52 135 201 23 text missing or illegible when filed

242 415 735 772
0.032

41 78 83 90 123 126 294 378 text missing or illegible when filed

87 789
0.032

34 41 73 83 90 123 126 294 634 6 text missing or illegible when filed

7
0.032

34 73 123 135 278 428 621 630 788 789
0.032

37 52 64 97 201 205 242 421 454 772
0.032

89 428 44 text missing or illegible when filed

454 834 667 680 742 768 789
0.032

8 52 135 25 text missing or illegible when filed

304 314 33 text missing or illegible when filed

454 666 778
0.032

34 89 135 278 428 621 text missing or illegible when filed

80 768 772 789
0.032

34 41 73 83 90 132 12 text missing or illegible when filed

294 742 789
0.032

34 89 135 242 27 text missing or illegible when filed

428 521 680 768 789
0.033

34 41 73 83 90 123 12 text missing or illegible when filed

259 294 6

7
0.033

97 311 42 text missing or illegible when filed

454 621 634 667 680 742 768
0.033

34 73 135 137 421 428 621 680 768 772
0.033

34 41 83 90 123 126 2 text missing or illegible when filed

4 667 742 789
0.033

34 41 text missing or illegible when filed

3 90 123 126 2 text missing or illegible when filed

7 789
0.033

15 29 89 152 288 2 text missing or illegible when filed

357 388 674 735
0.033

37 64 97 201 236 242 453 454 735 772
0.033

62 64 201 236 242 25 text missing or illegible when filed

388 421

21 772
0.033

34 41 73 83 text missing or illegible when filed

0 123 1

279 2

4 376
0.033

34 41 73 83 text missing or illegible when filed

0 123 126 2 text missing or illegible when filed

9 2

4 7

0.033

9 242 278 428 text missing or illegible when filed

61 621 680 742 768 789
0.033

34 41 73 text missing or illegible when filed

3 90 123 12 text missing or illegible when filed

294 37

789
0.033

34 52 201 236 242 288 415 453 742 772
0.033

34 41 7 text missing or illegible when filed

0 123 126 2 text missing or illegible when filed

4 37

0.033

52 258 259 304 357 388 402 44 text missing or illegible when filed

74
0.033

text missing or illegible when filed

34 89 135 238 242 428 742 788 789
0.033

41 83 text missing or illegible when filed

0 12

126 2

9 294 634 6 text missing or illegible when filed

7 789
0.033

34 41 83 90 12 text missing or illegible when filed

126 294 376 742 789
0.033

9 52 201 28 text missing or illegible when filed

357 388 45 text missing or illegible when filed

547 630 674
0.033

8 152 259 2 text missing or illegible when filed

9 309 435 544 735 775 778
0.033

73 137 415 421 428 454 621 634 text missing or illegible when filed

0
0.033

9 37 text missing or illegible when filed

4 201 236 258 415 674 735 778
0.034

41 73 83 text missing or illegible when filed

0 123 294 6 text missing or illegible when filed

7 742 78

0.034

15 29 127 206 302 30 text missing or illegible when filed

388 402

44 655
0.034

41 83 text missing or illegible when filed

0 123 126 2 text missing or illegible when filed

7 742 789
0.034

34 89 135 242 278 428 text missing or illegible when filed

80 742 768 789
0.034

37 20 text missing or illegible when filed

236

02 311 338 454 621 666 742
0.034

41 73 83 90 123 126 2 text missing or illegible when filed

4 376 742 789
0.034

37 64 201 206 236 258 338 415 666 763
0.034

41 text missing or illegible when filed

3 90 123 12 text missing or illegible when filed

294

7 742
0.034

278 376 428 454 4 text missing or illegible when filed

8 621

34 680 768 789
0.034

41 73 83 90 123 126 259 294 742 789
0.034

8 126 135 152 20 text missing or illegible when filed

357 775 778
0.034

text missing or illegible when filed

242 311 428 454 634 6 text missing or illegible when filed

0 742 768 789
0.034

9 52 135 242 259 357 388 3 text missing or illegible when filed

2 43

745
0.034

text missing or illegible when filed

4 89 236 258 288 338 376 435
0.034

52 73 201 242 302 454 621 666 73 text missing or illegible when filed

772
0.034

52 64 201 236 242 311 454 6 text missing or illegible when filed

742 772
0.034

9 89 258 259 288 302 3 text missing or illegible when filed

21 630 674
0.034

37 64 258 314 338 454 630 686 763 787
0.034

13 text missing or illegible when filed

201 23

242 278 304 645 6 text missing or illegible when filed

3 772 778
0.034

text missing or illegible when filed

9 135 137 20 text missing or illegible when filed

311 428 4

4 680 7

8 789
0.034

73 137 278 421 42 text missing or illegible when filed

454

21 634

0 768
0.034

52 text missing or illegible when filed

4 137 20

311 428 454 6 text missing or illegible when filed

0 788 789
0.034

34 137 415 421 428 text missing or illegible when filed

21 634

80 7

0.034

34 8 text missing or illegible when filed

135 27

428 680 742 763 768 789
0.034

171 2 text missing or illegible when filed

9 30

408 544 608 text missing or illegible when filed

44 645 666 724
0.034

8 29 52 2 text missing or illegible when filed

8 304 338 402 text missing or illegible when filed

07 630 655
0.034

18 29 299 357 415 453 630 674 682 766
0.034

9 29 152 23 text missing or illegible when filed

258 259 288 304 3 text missing or illegible when filed

8 547
0.034

89 20 text missing or illegible when filed

428 454 634 653 text missing or illegible when filed

7 680 768 789
0.034

127 137 20 text missing or illegible when filed

402 412 415 text missing or illegible when filed

53 655 786
0.034

41 73 83 text missing or illegible when filed

0 12

4 376 742
0.034

9 259 288 2 text missing or illegible when filed

357 388 547 630 655 674
0.034

text missing or illegible when filed

4 137 284 304 621 634 text missing or illegible when filed

45 6

3 772 778
0.034

152 357 38 text missing or illegible when filed

415 435 544 674 735 768 778
0.034

34 73 97 135 278 421 428 763 768 772
0.034

text missing or illegible when filed

9 20

278 311 428 454 text missing or illegible when filed

34 680 788 789
0.034

text missing or illegible when filed

34 97 137 201 236 242 735 772 778
0.035

89 152 201 206 288 338 37 text missing or illegible when filed

392

5 775
0.035

37 201 23 text missing or illegible when filed

242 304 376 621 634 text missing or illegible when filed

67 742
0.035

29 52 89 152 259 288 299 309 357 388
0.035

34 89 135 137 278 428 621 680 768 772
0.035

8 52 30 text missing or illegible when filed

435 544 607 text missing or illegible when filed

30 735 775 778
0.035

8 29 52 236 357 388 435 4 text missing or illegible when filed

3 454 674
0.035

52 152 205 2 text missing or illegible when filed

8 388 630 735 745 778 787
0.035

73 135 242 278 421 428 454 621 text missing or illegible when filed

0 768
0.035

29 89 135 152 258 331 482 547 text missing or illegible when filed

34 742
0.035

52 174 331 338 435 454 4 text missing or illegible when filed

544

21 634
0.035

34 135 137 242 275 415 428 621 680 7 text missing or illegible when filed

0.035

34 135 242 278 311 415 428 621 634 680
0.035

52 20 text missing or illegible when filed

258 288 296 338 403 435 547 65 text missing or illegible when filed

0.035

205 278 376 42 text missing or illegible when filed

454 621

80 768 788
0.035

208 376 42 text missing or illegible when filed

454 621 634 text missing or illegible when filed

67 6

0 768 789
0.035

34 89 205 278 428 621 634 text missing or illegible when filed

0 7

789
0.035

15 29 170 171 2 text missing or illegible when filed

9 402 6

82 766 787
0.035

34 89 135 23 text missing or illegible when filed

278 311 428 44 text missing or illegible when filed

768 789
0.035

170 2 text missing or illegible when filed

2 296 412 435 60 text missing or illegible when filed

644 703 708 7 text missing or illegible when filed

0.035

37 text missing or illegible when filed

4 152 201 205 242 302 454 6 text missing or illegible when filed

742
0.035

37 52 text missing or illegible when filed

4 73 201 242 2 text missing or illegible when filed

421 674 772
0.035

170 296 302 40 text missing or illegible when filed

416 429 450 607 636 708
0.035

37 52 201 205 236 242 387 735 745 772
0.035

text missing or illegible when filed

37 52 64 135 242 304 621 742 772
0.035

34 89 135 137 205 27 text missing or illegible when filed

428 763 7

789
0.035

52 64 126 201 205 288 415 454 742 772
0.035

137 201 242 259 288 421 454 text missing or illegible when filed

80 772
0.035

89 135 20 text missing or illegible when filed

236 25

338 357 435 547 778
0.035

29 52 201 25 text missing or illegible when filed

357 38

402 454 544 807
0.035

8 37 text missing or illegible when filed

4 236 258 304 338 3 text missing or illegible when filed

7 376 5

4
0.036

29 127 306 3 text missing or illegible when filed

402 412 544 607 6 text missing or illegible when filed

55
0.036

37 97 2 text missing or illegible when filed

242 278 311 454 text missing or illegible when filed

34 735 772
0.036

15 89 152 206 259 28 text missing or illegible when filed

357 388 482 724
0.036

34 152 201 242 258 25 text missing or illegible when filed

288 2

547 6

0.036

34 1 text missing or illegible when filed

5 137 201 242 278 314 735 772 77 text missing or illegible when filed

0.036

152 171 30 text missing or illegible when filed

402 544 60 text missing or illegible when filed

653 655 766 775
0.036

89 135 428 621 634 667 680 742 768 78 text missing or illegible when filed

0.036

1 text missing or illegible when filed

7 201 205 311 415 421 454 621 666 772
0.036

8 201 236 242 304 621 687 674 772 778
0.036

137 20 text missing or illegible when filed

357 388 435 544 653 6 text missing or illegible when filed

778
0.036

text missing or illegible when filed

4 201 205 206 259 3 text missing or illegible when filed

7 630 735
0.036

37 52 text missing or illegible when filed

4 201 242 338 421 4 text missing or illegible when filed

4 735 772
0.036

73 278 421 428 454 text missing or illegible when filed

21 634 680 742 7 text missing or illegible when filed

0.036

20 text missing or illegible when filed

262 311 33 text missing or illegible when filed

357 415 43 text missing or illegible when filed

482

44 778
0.036

89 201 23 text missing or illegible when filed

242 259 278 735 7 text missing or illegible when filed

8 772 778
0.036

9 52 text missing or illegible when filed

4 201 242 25 text missing or illegible when filed

278 304 3

7 778
0.036

9 13 text missing or illegible when filed

137 236 258 388 482 542 594 621
0.036

25 text missing or illegible when filed

338 3

7 376 388 435 45 text missing or illegible when filed

482 544 77 text missing or illegible when filed

0.036

9 29 288 298 2 text missing or illegible when filed

388 402 4

3 630 775
0.036

211 306 37 text missing or illegible when filed

408 4

0 544

45 655 708 724
0.036

89 135 428 454 634 text missing or illegible when filed

67 680 742 768 789
0.036

137 311 428 454 498 621 text missing or illegible when filed

67 680 742
0.036

29 127 308 357 376 402 435 544 text missing or illegible when filed

55 76

0.036

89 137 125 2 text missing or illegible when filed

388 544 674 708 77 text missing or illegible when filed

0.036

205 376 428 454 4 text missing or illegible when filed

8 621

67 680 768
0.036

37 text missing or illegible when filed

4 259 338 376 454 text missing or illegible when filed

6 763
0.036

37 84 201 20 text missing or illegible when filed

311 454

6 742 772
0.036

8 52 135 201 27 text missing or illegible when filed

367 376 7

772 778
0.036

13 text missing or illegible when filed

205 278 428 454 621 text missing or illegible when filed

34 6

0 7

9
0.036

137 242 278 376 428 454 text missing or illegible when filed

34 6

0 768 78

0.036

37 2 text missing or illegible when filed

6 242 258 311 338 454 621 text missing or illegible when filed

6 742
0.036

29 text missing or illegible when filed

9 152 299 357 388 392 43 text missing or illegible when filed

544 594
0.036

89 205 278 428 454 634 680 742 768 78 text missing or illegible when filed

0.036

34 52 201 20 text missing or illegible when filed

236 242 415 653 735 772
0.036

9 29 135 152 258 304 388 542 594 630
0.036

89 201 288 357 37 text missing or illegible when filed

388 392 402 6 text missing or illegible when filed

775
0.036

41 73 83 90 123 259 294 687 742 789
0.036

127 29 text missing or illegible when filed

306 357 388 435 544 608 6 text missing or illegible when filed

775
0.036

8 29 64 89 152 205 288 338 454 68 text missing or illegible when filed

0.036

34 135 137 205 242 428 621 680 768 789
0.037

205 278 311 428 454 621 634 680 7 text missing or illegible when filed

8 789
0.037

64 137 278 288 415 453 645 742 772 778
0.037

37 52 84 23 text missing or illegible when filed

242 258 421 621 674 772
0.037

73 137 242 278 428 454 634 680 768 789
0.037

29 52 259 288 338 357 388 45 text missing or illegible when filed

547 674
0.037

12 text missing or illegible when filed

127 170 171 298 65 text missing or illegible when filed

66 724 766 77 text missing or illegible when filed

0.037

89 137 20 text missing or illegible when filed

428 4

4 621 667 680 742 789
0.037

9 37 52 text missing or illegible when filed

7 236 242 402 621 667 772
0.037

29 135 1 text missing or illegible when filed

2 201 258 415 630 735 772 778
0.037

9 37 52 text missing or illegible when filed

9 201 258

94 630 735 778
0.037

8 29 152 288 2 text missing or illegible when filed

9 3

7 388 435 482 778
0.037

34 8 text missing or illegible when filed

205 278 311 425 6 text missing or illegible when filed

0 742 7

0.037

37 52 64 201 205 236 311 348 742 772
0.037

29 2 text missing or illegible when filed

6 2

9 304 3

8 402 412 453 text missing or illegible when filed

6 735
0.037

37 64 201 205 415 594 630 6 text missing or illegible when filed

735 78

0.037

37 52 64 201 236 242 259 367 735 772
0.037

52 201 258 288 357 388 402 547 607 653
0.037

12 text missing or illegible when filed

170 299 393 412 435 645 717 735 76 text missing or illegible when filed

0.037

152 206 296 41 text missing or illegible when filed

435 4

0 63

708 76

0.037

8 52 152 201 299 3 text missing or illegible when filed

7 43

745 766 778
0.037

15 8 text missing or illegible when filed

127 142 288 311 388 416 724 778
0.037

8 52 text missing or illegible when filed

135 235 258 304 338 547 674
0.037

37 52 text missing or illegible when filed

258 314 338 421 5 text missing or illegible when filed

4 6

0 674
0.037

8 37 64 242 278 304 367 421 772 778
0.037

8 37 135 208 258 259 304 314 338 text missing or illegible when filed

6
0.037

89 242 278 311 428 454 621 680 7 text missing or illegible when filed

789
0.037

29 127 171 299 308 357 402 644 6 text missing or illegible when filed

0.037

34 37 64 201 20 text missing or illegible when filed

634 653 738 772
0.037

37 52 278 314 338 388 403 456 630 655
0.037

8 52 13 text missing or illegible when filed

258 311 4

3 621 742 772
0.037

text missing or illegible when filed

152 206 306 376 435 544 607 708 766
0.037

text missing or illegible when filed

52 89 2

8 259 288 304 338 456 text missing or illegible when filed

30
0.037

73 137 428 454 621 634 667 680 735 768
0.037

127 370 171 20 text missing or illegible when filed

796 302 402 412 76 text missing or illegible when filed

775
0.037

137 288 296 30 text missing or illegible when filed

314 388 415 653 735 778
0.037

29 152 206 299 357 435 544 630 7 text missing or illegible when filed

775
0.037

170 2 text missing or illegible when filed

2 3

7 469 482 527 5 text missing or illegible when filed

4 636 644 717
0.037

127 171 296 299 311 402 412 415 65 text missing or illegible when filed

0.037

8 37 52 text missing or illegible when filed

4 201 338 480 547 686 674
0.037

34 135 137 278 37 text missing or illegible when filed

428 634 650 768 772
0.037

20 text missing or illegible when filed

211 302 306 408 490 text missing or illegible when filed

45 6

724 763
0.037

52 152 232 264 388 415 490 674 735 775
0.037

37 text missing or illegible when filed

2 64 242 339 453 4 text missing or illegible when filed

634 7

772
0.037

170 171 299 418 44 text missing or illegible when filed

585 594 653 736 76 text missing or illegible when filed

0.037

89 137 311 428 454 634 667 680 768 78 text missing or illegible when filed

0.037

34 135 205 278 421 428 621 634 6 text missing or illegible when filed

0 768
0.037

152 201 206 242 288 357 388 392 655 775
0.037

152 209 296 308 314 357 402 544 7 text missing or illegible when filed

6 775
0.037

8 52 64 89 258 259 288 338 453 742
0.037

9 84 242 278 304 367 421 547 772 77 text missing or illegible when filed

0.037

208 2 text missing or illegible when filed

288 304 338 435 607 653 655 778
0.037

151 171 309 314 408 4 text missing or illegible when filed

0 644 715 735 763
0.037

34 137 205 278 415 428 621 680 768 772
0.037

34 52 205 236 242 311 66 text missing or illegible when filed

735 745 772
0.037

59 277 450 490 636 645 675 708 745 77 text missing or illegible when filed

0.038

34 37 84 89 25 text missing or illegible when filed

288 338 453 821 674
0.038

40 211 231 277 30 text missing or illegible when filed

314 402 403 45 text missing or illegible when filed

636
0.038

135 205 242 278 428 454 621 680 768 78 text missing or illegible when filed

0.038

29 171 206 296 338 415 585 645 655 78 text missing or illegible when filed

0.038

29 152 302 388 392 453 454 544 6 text missing or illegible when filed

703
0.038

text missing or illegible when filed

152 30

402 450 456 544 text missing or illegible when filed

45
0.038

34 135 278 311 428 621 680 742 768 772
0.038

9 64 text missing or illegible when filed

9 201 242 304 621 687 674 778
0.038

9 34 37 137 201 242 28 text missing or illegible when filed

653 738 772
0.038

9 135 236 242 258 278 304 621 742 772
0.038

9 52 64 242 278 547 634 735 7 text missing or illegible when filed

8 772
0.038

127 288 296 357 393 415 435 655 786 775
0.038

text missing or illegible when filed

52 64 278 367 547 634 653 735 772
0.038

8 37 52 text missing or illegible when filed

4 201 23

258 745 772 778
0.038

152 201 402 415 498 653 674 735 745 76 text missing or illegible when filed

0.038

59 242 311 428 454 6 text missing or illegible when filed

7 680 742 7 text missing or illegible when filed

8 789
0.038

9 259 288 357 388 456 630 674 735 778
0.038

52 127 201 435 544 607 630 735 7 text missing or illegible when filed

778
0.038

9 text missing or illegible when filed

4 1

278 311 428 680 742 788 789
0.038

37 52 137 201 205 236 454 735 745 772
0.038

152 171 20 text missing or illegible when filed

299 357 388 415 435 655 682
0.038

127 174 206 288 304 392 435 630 655 708
0.038

8 52 89 309 376 398 392 435 453 745
0.038

8 52 64 258 302 338 453 621 6 text missing or illegible when filed

674
0.038

8 2 text missing or illegible when filed

64 236 258 25 text missing or illegible when filed

338 454 6

763
0.038

37 52 64 201 236 242 258 304 742 772
0.038

34 73 135 137 27 text missing or illegible when filed

421 428 763 768 772
0.038

2 text missing or illegible when filed

152 20

8 3

7 392 435 594 621 76 text missing or illegible when filed

0.038

127 171 208 296 415 435 544 text missing or illegible when filed

5 766 775
0.038

73 171 206 277 298 314 544 558 65 text missing or illegible when filed

775
0.038

9 170 408 421 527 542 544 644 text missing or illegible when filed

45 775
0.038

8 37 64 206 258 259 338 454 630 753
0.038

137 278 311 428 454 text missing or illegible when filed

21 634 658 742 7 text missing or illegible when filed

8
0.038

8 9 64 135 201 338 435 630 748 77 text missing or illegible when filed

0.038

127 302 435 409 544 547 644 645 724 775
0.038

171 296 314 412 544 644 6 text missing or illegible when filed

8 6

5 735 76

0.038

15 152 211 231 232 305 415 708 724 766
0.038

171 28 text missing or illegible when filed

357 408 4

0 544 645 653 724 776
0.038

37 52 64 201 205 236 242 454 735 772
0.038

34 73 137 205 278 428 634 680 768 789
0.038

52 64 205 236 258 387 376 621 674 772
0.038

text missing or illegible when filed

137 205 259 30 text missing or illegible when filed

4 621 63

80 735
0.038

137 205 278 378 415 428 621 634 6 text missing or illegible when filed

0 768
0.038

89 137 152 20 text missing or illegible when filed

236 258

288 309 435 453
0.038

170 171 412 415 453 4 text missing or illegible when filed

2 594 6

682 76

0.039

8 9 52 text missing or illegible when filed

9 258 288 304 338 38 text missing or illegible when filed

630
0.039

37 64 238 258 3 text missing or illegible when filed

454 621 63 text missing or illegible when filed

674
0.039

206 277 357 402 408 435 449 490 558 644
0.039

9 text missing or illegible when filed

9 135 152 205 259 304 376 630 742
0.039

text missing or illegible when filed

37 52 84 258 311 314 338 454 6 text missing or illegible when filed

0.039

52 89 126 258 28 text missing or illegible when filed

338 454 630
0.039

15 206 302 306 402 412 636 645 653 735
0.039

15 89 137 152 288 296 357 3 text missing or illegible when filed

8 415 674
0.039

15 40 127 171 206 408 415 544 594 708
0.039

text missing or illegible when filed

201 288 331 3 text missing or illegible when filed

7 392 547 674 7 text missing or illegible when filed

778
0.039

41 89 205 415 421 428 680 742 768 789
0.039

37 52 64 23 text missing or illegible when filed

258 304 348 421 742 772
0.039

37 text missing or illegible when filed

4 89 205 258 338 3 text missing or illegible when filed

7 376 630 674
0.039

64 137 205 236 304 621 667 674 772 778
0.039

15 152 607 60 text missing or illegible when filed

644 65

682 735 745 787
0.039

8 37 135 304 338 630 674 735 76 text missing or illegible when filed

778
0.039

13 text missing or illegible when filed

137 242 428 454 621 634 687 880 768
0.039

88 127 171 29 text missing or illegible when filed

357 388 490 655 666
0.039

2 text missing or illegible when filed

52 288 2

314 3

8 3

2 402 874 735
0.039

52 152 205 20 text missing or illegible when filed

288 304 338 348 388 text missing or illegible when filed

55
0.039

29 59 152 20 text missing or illegible when filed

8 357 357 388 655 674
0.039

41 73 text missing or illegible when filed

0 123 2

4 376 742 789
0.039

37 52 127 259 288 314 338 6 text missing or illegible when filed

8 735 76

0.039

137 205 278 311 42 text missing or illegible when filed

454 634 680 768 7 text missing or illegible when filed

0.039

9 258 259 2 text missing or illegible when filed

338 415 5

4 630 735 77 text missing or illegible when filed

0.039

8 text missing or illegible when filed

8 304 335 388 392 547 text missing or illegible when filed

55 674 778
0.039

text missing or illegible when filed

7 137 205 311 37 text missing or illegible when filed

428 454 680 743 768
0.039

37 137 201 205 23 text missing or illegible when filed

454

68 7

8 772
0.039

text missing or illegible when filed

37 52 64 201 242 27 text missing or illegible when filed

304 772 77 text missing or illegible when filed

0.039

89 152 288 33 text missing or illegible when filed

8 392 435 65 text missing or illegible when filed

778
0.039

8 text missing or illegible when filed

135 205 278 428 621 634 680 742 768
0.039

15 170 171 302 402 449 45 text missing or illegible when filed

594 682 766
0.039

2 text missing or illegible when filed

52 221 259 28 text missing or illegible when filed

7 388 630 6 text missing or illegible when filed

674
0.039

8 15 29 89 152 171 29 text missing or illegible when filed

299 7

775
0.039

8 9 37 201 205 547 63 text missing or illegible when filed

674 735
0.039

137 242 428 454 4 text missing or illegible when filed

621

34 6

80 742
0.039

text missing or illegible when filed

35 135 242 278 428 621 680 7 text missing or illegible when filed

8 772
0.039

8 52 152 288 304 306 357 388 453 490
0.039

201 236 258 259 28 text missing or illegible when filed

482 547 674 735 778
0.039

170 171 232 296 29 text missing or illegible when filed

456 585 708 724 76 text missing or illegible when filed

0.039

127 137 2 text missing or illegible when filed

8 296 302 388 392 402 435 655
0.039

152 201 206 258 2 text missing or illegible when filed

8 482 547 630 655 686
0.039

8 126 302 402 453 544 630 653 766 77 text missing or illegible when filed

0.039

4 201 258 278 338 415 453 607 630 634
0.039

16 29 73 152 201 20 text missing or illegible when filed

288 299 724 76 text missing or illegible when filed

0.039

64 8 text missing or illegible when filed

236 258 278 304 653 742 772 778
0.039

8 9 304 357 435 544 653 text missing or illegible when filed

742 778
0.039

89 135 137 242 428 454 680 742 768 778
0.039

89 135 205 25 text missing or illegible when filed

428 454 680 742 768 778
0.039

152 20 text missing or illegible when filed

258 306 309 314 357 435 607
0.039

127 171 20 text missing or illegible when filed

252 408 415 450 544 644 76 text missing or illegible when filed

0.039

15 302 3 text missing or illegible when filed

3 408 412 450 636 653 682 708
0.039

89 135 201 25 text missing or illegible when filed

338 482 607 text missing or illegible when filed

0 735 775
0.039

8 9 137 104 376 388 392 435 544 778
0.039

37 52 135 201 236 242 258 454 621 772
0.039

127 170 171 206 302 30 text missing or illegible when filed

412 724 745 76 text missing or illegible when filed

0.040

8 9 8 text missing or illegible when filed

135 242 278 367 821 674 772
0.040

9 34 137 205 37 text missing or illegible when filed

428 634 667 680 768
0.040

8 89 137 152 288 338 357 415 text missing or illegible when filed

74 778
0.040

34 137 205 278 428 680 763 768 772 7 text missing or illegible when filed

0.040

34 137 205 278 375 428 621 680 765 7 text missing or illegible when filed

0.040

8 64 258 401 454 634 666 667 674 787
0.040

8 37 text missing or illegible when filed

9 151 205 206 258 304 text missing or illegible when filed

874
0.040

137 205 278 428 454 621 634 680 7 text missing or illegible when filed

8 789
0.040

2 text missing or illegible when filed

2 3

7 527 574 585 619 675 70 text missing or illegible when filed

775 787
0.040

97 137 311 428 454 634 667 680 742 7 text missing or illegible when filed

8
0.040

38 213 367 40 text missing or illegible when filed

527 558 619 628 682 787
0.040

37 text missing or illegible when filed

2 64 20

236 242 2

9 367 735 772
0.040

206 259 277 296 306 402 412 645 text missing or illegible when filed

55 724
0.040

206 211 262 2 text missing or illegible when filed

412 630 644 674 708 76 text missing or illegible when filed

0.040

8 37 52 text missing or illegible when filed

4 236 242 258 3 text missing or illegible when filed

8 421 772
0.040

38 151 20 text missing or illegible when filed

302 3

7 392 408 703 715 7 text missing or illegible when filed

3
0.040

15 29 127 388 544 547 594 630 655 724
0.040

8 text missing or illegible when filed

206 259 288 309 357 37 text missing or illegible when filed

435

0.040

34 37 201 236 242 278 311 735 772 778
0.040

127 171 20 text missing or illegible when filed

304 306 482 544 653 686 7&6
0.040

52 64 201 236 242 304 421 621 674 772
0.040

304 30 text missing or illegible when filed

393 406 435 608 645 703 708 724
0.040

37 64 201 205 242 259 311 454 742 772
0.040

137 205 278 37 text missing or illegible when filed

428 498 821 634 680 788
0.040

127 231 314 357 402 544 644 682 7 text missing or illegible when filed

0.040

15 127 232 302 306 311 402 682 724 7 text missing or illegible when filed

0.040

8 29 288 304 38 text missing or illegible when filed

392 435 630 655 778
0.040

2 text missing or illegible when filed

298 30

314 388 402 415 435 544 653
0.040

8 127 171 2 text missing or illegible when filed

309 490 544 655 708 775
0.040

9 34 137 278 378 428 621 6 text missing or illegible when filed

0 7

8 78

0.040

151 174 232 3 text missing or illegible when filed

7 408 54

644 682 715 763
0.040

127 20 text missing or illegible when filed

302 402 412 415 435 653 text missing or illegible when filed

5 78

0.040

8 52 89 258 288 304 338 357 630 674
0.040

89 171 2 text missing or illegible when filed

8 338 357 376 392 449 453 655
0.040

37 64 236 28 text missing or illegible when filed

338 454 4

0 66

670 674
0.040

221 259 288 308 388 402 435 450 655 735
0.040

11 41 83 90 123 135 294 415 454 text missing or illegible when filed

34
0.029

Columns

Feature ID: feature index (see Table S10 for feature details)

MAE: mean absolute error between observed and calculated ctDNA fractions from 652 samples

text missing or illegible when filed

indicates data missing or illegible when filed

TABLE S17

Information on predictive pan-cancer features

ID
Transcript
Gene
Chr
Site
Region
Group
FPKM_blood

8
ENST00000221954.6
CEACAM4
19
42133442
promoter
blood
32.81

9
ENST00000225275.3
MPO
17
56358296
promoter
blood
7.23

11
ENST00000234347.9
PRTN3
19
840960
promoter
blood
13.78

15
ENST00000262407.5
ITGA2B
17
42466873
promoter
blood
12.34

29
ENST00000299663.7
CLEC4E
12
8693559
promoter
blood
29.27

34
ENST00000307395.4
GP9
3
128779610
promoter
blood
9.72

37
ENST00000312156.8
NFE2
12
54689544
promoter
blood
11.15

38
ENST00000314412.6
FUT7
9
139927462
promoter
blood
16.90

39
ENST00000314446.9
LILRB2
19
54785039
promoter
blood
7.87

40
ENST00000318507.6
CXCR2
2
218990727
promoter
blood
157.27

41
ENST00000324134.10
NLRP12
19
54327597
promoter
blood
9.17

52
ENST00000342063.4
C19orf35
19
2282175
promoter
blood
8.64

64
ENST00000375448.4
PADI4
1
17634692
promoter
blood
95.04

73
ENST00000380299.3
HBD
11
5255878
promoter
blood
138.84

83
ENST00000392841.1
HMBS
11
118958697
promoter
blood
7.28

89
ENST00000398421.6
NCF1
7
74188358
promoter
blood
11.04

90
ENST00000398632.3
MX2
21
42774561
promoter
blood
7.28

97
ENST00000413580.5
PHOSPHO1
17
47308128
promoter
blood
42.76

123
ENST00000460208.1
LILRB3
19
54721567
promoter
blood
51.15

126
ENST00000462275.5
TBXAS1
7
139529072
promoter
blood
6.07

127
ENST00000462927.5
CYTH4
22
37678566
promoter
blood
26.95

135
ENST00000465984.5
SLC11A1
2
219246911
promoter
blood
10.54

137
ENST00000466151.1
PADI2
1
17409921
promoter
blood
7.13

142
ENST00000467972.5
SLC12A9
7
100454416
promoter
blood
6.80

151
ENST00000469799.5
SLC11A1
2
219247002
promoter
blood
8.27

152
ENST00000469886.5
CYTH4
22
37678556
promoter
blood
6.16

170
ENST00000478902.1
ZDHHC18
1
27177620
promoter
blood
12.52

171
ENST00000479534.5
PADI2
1
17401846
promoter
blood
5.78

174
ENST00000480825.6
CSF3R
1
36941928
promoter
blood
127.36

201
ENST00000487761.5
GPSM3
6
32160645
promoter
blood
14.37

205
ENST00000488970.1
BTK
X
100609209
promoter
blood
7.40

206
ENST00000489175.1
KCNE1
21
35884505
promoter
blood
6.75

211
ENST00000490872.1
SLC11A1
2
219254688
promoter
blood
26.15

213
ENST00000492413.5
SLC11A1
2
219247010
promoter
blood
17.89

221
ENST00000495406.1
CDK5RAP2
9
123152555
promoter
blood
10.53

231
ENST00000500323.2
DOK3
5
176935878
promoter
blood
10.88

232
ENST00000502380.1
DOK3
5
176937383
promoter
blood
8.44

236
ENST00000509314.5
FBXL5
4
15661487
promoter
blood
10.24

242
ENST00000517813.1
DENND3
8
142194587
promoter
blood
13.47

258
ENST00000523369.1
LCP2
5
169685502
promoter
blood
9.88

259
ENST00000523530.1
DENND3
8
142201373
promoter
blood
7.23

262
ENST00000526387.5
TBC1D10C
11
67171386
promoter
blood
7.10

264
ENST00000526980.5
CSF3R
1
36948500
promoter
blood
184.80

277
ENST00000532897.5
MKNK1
1
47037972
promoter
blood
6.23

278
ENST00000533815.2
BTNL8
5
180336564
promoter
blood
5.72

279
ENST00000533968.1
SPI1
11
47400038
promoter
blood
12.90

288
ENST00000539932.5
SLC11A1
2
219246926
promoter
blood
50.32

294
ENST00000542481.1
ATG16L2
11
72534940
promoter
blood
25.18

296
ENST00000543576.5
DENND1C
19
6481798
promoter
blood
12.06

299
ENST00000546200.5
ARHGAP9
12
57871634
promoter
blood
66.03

302
ENST00000551000.1
ARHGAP9
12
57871650
promoter
blood
8.28

304
ENST00000553070.5
NFE2
12
54694799
promoter
blood
23.61

306
ENST00000554736.5
GNG2
14
52328042
promoter
blood
9.30

309
ENST00000558332.3
IL16
15
81591757
promoter
blood
7.66

311
ENST00000559341.5
MAN2A2
15
91459225
promoter
blood
8.61

314
ENST00000560377.5
PSTPIP1
15
77287726
promoter
blood
8.38

331
ENST00000566082.1
USB1
16
58049017
promoter
blood
6.82

338
ENST00000570439.1
ACAP1
17
7248650
promoter
blood
5.27

348
ENST00000574548.1
RNF167
17
4847675
promoter
blood
6.40

357
ENST00000581974.1
DHRS13
17
27226541
promoter
blood
5.97

367
ENST00000587287.1
RASGRP4
19
38902036
promoter
blood
6.80

376
ENST00000590974.1
LYL1
19
13213975
promoter
blood
5.48

388
ENST00000597611.7
FKBP8
19
18654887
promoter
blood
9.25

392
ENST00000598529.5
MYO1F
19
8619448
promoter
blood
16.08

393
ENST00000598907.5
SHKBP1
19
41084102
promoter
blood
14.71

402
ENST00000601502.1
MYO1F
19
8610602
promoter
blood
8.05

403
ENST00000602101.6
RASAL3
19
15575325
promoter
blood
7.16

408
ENST00000605039.5
BIN2
12
51717938
promoter
blood
11.02

412
ENST00000612844.4
FOLR3
11
71846756
promoter
blood
13.11

415
ENST00000615340.4
RASGRP4
19
38916837
promoter
blood
6.88

416
ENST00000616356.4
FCN1
9
137809723
promoter
blood
16.99

421
ENST00000008938.4
PGLYRP1
19
46525993
junction
blood
148.76

428
ENST00000221954.6
CEACAM4
19
42133268
junction
blood
32.81

429
ENST00000225275.3
MPO
17
56357966
junction
blood
7.23

435
ENST00000262407.5
ITGA2B
17
42466654
junction
blood
12.34

449
ENST00000299663.7
CLEC4E
12
8693357
junction
blood
29.27

450
ENST00000299665.2
CLEC4D
12
8666356
junction
blood
10.47

452
ENST00000304076.6
VAV1
19
6773022
junction
blood
7.61

453
ENST00000304361.8
CLEC12A
12
10124286
junction
blood
10.23

454
ENST00000307395.4
GP9
3
128779693
junction
blood
9.72

456
ENST00000310544.8
PHOSPHO1
17
47307830
junction
blood
30.92

469
ENST00000338372.6
VSTM1
19
54566998
junction
blood
10.71

482
ENST00000375448.4
PADI4
1
17634809
junction
blood
95.04

490
ENST00000380299.3
HBD
11
5255572
junction
blood
138.84

498
ENST00000392841.1
HMBS
11
118958788
junction
blood
7.28

527
ENST00000448367.5
FES
15
91432866
junction
blood
6.30

542
ENST00000464994.5
IL1R2
2
102608495
junction
blood
12.24

544
ENST00000465984.5
SLC11A1
2
219247098
junction
blood
10.54

546
ENST00000466151.1
PADI2
1
17409731
junction
blood
7.13

547
ENST00000466612.5
ABTB1
3
127392451
junction
blood
6.18

558
ENST00000469532.1
RAC2
22
37640154
junction
blood
9.83

561
ENST00000471836.1
PARVG
22
44577797
junction
blood
6.53

574
ENST00000478902.1
ZDHHC18
1
27177722
junction
blood
12.52

585
ENST00000483665.6
FCGR2A
1
161475342
junction
blood
6.60

594
ENST00000485991.5
CFP
X
47489168
junction
blood
5.10

607
ENST00000488970.1
BTK
X
100608858
junction
blood
7.40

608
ENST00000489175.1
KCNE1
21
35884325
junction
blood
6.75

619
ENST00000495406.1
CDK5RAP2
9
123152019
junction
blood
10.53

621
ENST00000496915.1
PREX1
20
47258945
junction
blood
5.23

628
ENST00000504910.1
HK3
5
176318389
junction
blood
6.36

630
ENST00000509314.5
FBXL5
4
15661350
junction
blood
10.24

634
ENST00000513001.5
ACSL1
4
185678973
junction
blood
17.65

636
ENST00000517813.1
DENND3
8
142195377
junction
blood
13.47

644
ENST00000520887.1
FAM49B
8
130859050
junction
blood
7.15

645
ENST00000521442.1
ATP6V1B2
8
20075793
junction
blood
8.33

653
ENST00000526387.5
TBC1D10C
11
67171411
junction
blood
7.10

655
ENST00000527031.5
JAK3
19
17958755
junction
blood
6.17

666
ENST00000532897.5
MKNK1
1
47037735
junction
blood
6.23

667
ENST00000533815.2
BTNL8
5
180336697
junction
blood
5.72

670
ENST00000534754.5
SORL1
11
121483541
junction
blood
9.84

674
ENST00000538842.1
ATG16L2
11
72527872
junction
blood
6.35

675
ENST00000539134.1
RELT
11
73104962
junction
blood
6.58

680
ENST00000542481.1
ATG16L2
11
72535167
junction
blood
25.18

682
ENST00000543576.5
DENND1C
19
6481690
junction
blood
12.06

703
ENST00000564072.1
SLCO3A1
15
92706776
junction
blood
8.74

708
ENST00000564894.1
RNF166
16
88767670
junction
blood
7.90

715
ENST00000567038.1
XPO6
16
28113168
junction
blood
8.97

717
ENST00000568760.5
DEF8
16
90024068
junction
blood
7.24

724
ENST00000571303.1
MLKL
16
74725175
junction
blood
5.93

735
ENST00000581287.5
SLC16A3
17
80194107
junction
blood
11.97

736
ENST00000581974.1
DHRS13
17
27226145
junction
blood
5.97

742
ENST00000585852.5
FMNL1
17
43308054
junction
blood
19.81

745
ENST00000587265.1
CA4
17
58235488
junction
blood
5.45

763
ENST00000595725.5
CD37
19
49838866
junction
blood
20.04

766
ENST00000597611.7
FKBP8
19
18654719
junction
blood
9.25

768
ENST00000598201.5
SHKBP1
19
41086391
junction
blood
12.36

772
ENST00000599180.2
FFAR2
19
35939281
junction
blood
24.79

775
ENST00000599716.5
SHKBP1
19
41082891
junction
blood
10.66

776
ENST00000600463.1
IFI30
19
18286032
junction
blood
6.41

778
ENST00000601502.1
MYO1F
19
8610534
junction
blood
8.05

787
ENST00000614135.4
RASGRP4
19
38916709
junction
blood
8.18

789
ENST00000616356.4
FCN1
9
137809615
junction
blood
16.99

666
ENST00000532897.5
MKNK1
1
47037735
junction
blood
6.23

667
ENST00000533815.2
BTNL8
5
180336697
junction
blood
5.72

674
ENST00000538842.1
ATG16L2
11
72527872
junction
blood
6.35

680
ENST00000542481.1
ATG16L2
11
72535167
junction
blood
25.18

695
ENST00000559341.5
MAN2A2
15
91459486
junction
blood
8.61

708
ENST00000564894.1
RNF166
16
88767670
junction
blood
7.9

736
ENST00000581974.1
DHRS13
17
27226145
junction
blood
5.97

742
ENST00000585852.5
FMNL1
17
43308054
junction
blood
19.81

766
ENST00000597611.7
FKBP8
19
18654719
junction
blood
9.25

772
ENST00000599180.2
FFAR2
19
35939281
junction
blood
24.79

775
ENST00000599716.5
SHKBP1
19
41082891
junction
blood
10.66

776
ENST00000600463.1
IFI30
19
18286032
junction
blood
6.41

787
ENST00000614135.4
RASGRP4
19
38916709
junction
blood
8.18

789
ENST00000616356.4
FCN1
9
137809615
junction
blood
16.99

Columns

ID: feature index

Transcript: transcript ID

Gene: gene name

Chr: chromosome

Site: coordinate of nucleosome-depleted site (GRCh37)

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

FPKM_blood: FPKM value in normal blood. Their FPKM values in tumors of 20 cancer types are all <1.

TABLE S18

All predictive feature combinations for CRC using in silico

samples generated with random subsets of healthy samples.

Feature ID
MAE

364 379 475 788 730 905
0.030

284 384 475 788 790 906
0.031

284 364 379 475 758 905
0.031

284 364 379 475 790 906
0.032

179 407 788 830 900 905
0.032

364 379 760 790 852 903
0.033

39 540 760 788 830 900
0.033

35 39 410 540 760 830
0.033

284 364 475 760 788 905
0.033

364 540 760 830 903 905
0.033

364 379 475 703 788 905
0.033

284 364 475 703 788 905
0.033

364 475 760 788 790 905
0.034

35 476 673 830 852 890
0.034

364 379 540 760 790 903
0.034

364 379 475 703 760 790
0.034

364 379 407 760 790 903
0.034

39 125 379 478 852 903
0.034

39 364 475 788 790 905
0.034

364 379 475 788 900 905
0.034

39 379 410 540 703 760
0.034

39 379 407 540 760 790
0.034

364 475 540 788 790 905
0.034

364 760 790 830 900 903
0.035

410 478 540 688 760 830
0.035

478 760 788 830 900 903
0.035

379 407 475 788 790 905
0.035

364 475 703 788 790 905
0.035

39 364 475 703 788 905
0.035

364 475 788 790 900 905
0.035

35 39 301 540 830 903
0.035

379 475 540 788 790 905
0.035

379 475 703 788 790 905
0.035

364 379 760 790 900 903
0.035

115 126 480 529 830 903
0.035

284 410 469 540 571 830
0.035

39 379 407 703 790 903
0.035

384 379 540 703 793 903
0.035

36 322 469 478 830 903
0.035

284 364 475 703 790 905
0.036

364 407 475 788 790 905
0.036

126 284 410 480 830 890
0.036

39 364 379 407 540 903
0.036

39 115 379 407 790 903
0.036

364 379 478 790 900 903
0.037

39 67 379 703 900 903
0.037

39 379 407 540 703 903
0.037

407 478 760 788 830 900
0.037

39 115 379 407 703 790
0.037

39 115 284 379 540 703
0.037

86 284 478 760 830 903
0.037

364 475 540 788 900 905
0.037

407 760 788 830 900 903
0.037

39 379 407 703 760 903
0.037

86 364 379 410 900 903
0.037

301 470 473 553 639 890
0.037

364 475 760 788 900 905
0.037

35 39 478 540 673 830
0.037

379 407 475 703 790 905
0.037

39 284 379 703 760 903
0.037

126 364 379 407 475 760
0.037

39 126 478 830 852 903
0.038

364 379 407 410 760 903
0.038

126 284 410 469 540 830
0.038

284 359 410 469 540 830
0.038

364 475 703 788 900 905
0.038

256 478 594 727 830 852
0.038

364 407 475 703 788 905
0.038

39 126 379 410 469 478
0.038

379 407 475 703 786 905
0.038

364 407 475 703 790 905
0.038

86 407 410 760 830 900
0.038

39 364 703 830 900 903
0.038

379 475 703 788 790 900
0.038

39 284 540 594 727 830
0.038

35 284 410 571 760 830
0.038

703 760 790 830 900 903
0.038

86 470 655 842 856 890
0.038

35 284 410 540 571 830
0.038

39 475 703 786 790 905
0.038

284 379 407 410 469 571
0.038

379 540 760 790 900 903
0.038

379 407 760 790 900 903
0.038

86 115 126 469 553 721
0.039

284 322 410 469 540 830
0.039

35 39 410 478 540 830
0.039

284 469 478 540 571 830
0.039

407 760 790 830 900 903
0.039

284 410 480 540 571 830
0.039

35 86 284 469 478 830
0.039

284 410 469 529 540 830
0.039

115 284 379 407 760 790
0.039

39 268 306 322 466 744
0.039

284 410 478 540 571 830
0.039

35 86 306 673 793 852
0.039

407 703 760 790 830 903
0.039

115 364 379 407 760 903
0.039

284 410 480 629 760 830
0.039

284 478 540 571 830 852
0.039

72 197 256 395 473 858
0.039

364 478 760 830 900 903
0.039

284 379 410 673 760 852
0.039

39 284 379 407 703 903
0.039

39 379 407 410 760 900
0.039

364 540 760 830 900 903
0.040

39 407 475 703 788 905
0.040

35 364 379 540 703 903
0.040

72 204 301 451 473 639
0.040

18 70 256 439 467 777
0.040

86 359 391 395 455 890
0.040

35 478 540 673 760 830
0.040

364 379 407 478 540 903
0.040

67 364 379 407 760 903
0.040

39 379 407 703 900 903
0.040

18 72 275 393 468 842
0.040

284 478 540 727 830 690
0.040

35 39 703 793 852 903
0.040

468 469 553 559 652 842
0.040

407 540 760 790 830 900
0.040

Columns

Feature ID: feature index (see Table S3 for feature details)

MAE: mean absolute error between observed and calculated ctDNA fractions from 344 samples

TABLE S19

Information on predictive features for CRC using in silico

samples generated with random subsets of healthy samples.

ID
Transcript
Gene
Chr
Site
Region
Group
FPKM_blood
FPKM_tumor

18
ENST00000245451.8
BMP4
14
54423529
promoter
tumor
0
16.43

35
ENST00000267101.7
ERBB3
12
56473645
promoter
tumor
0
40.98

39
ENST00000270560.3
TM4SF5
17
4675187
promoter
tumor
0
18.39

67
ENST00000310836.10
UGT8
4
115519611
promoter
tumor
0.04
14.08

70
ENST00000311620.6
ANKS4B
16
21244986
promoter
tumor
0
10.61

72
ENST00000317508.10
PRSS8
16
31147083
promoter
tumor
0.11
143.22

86
ENST00000332149.9
TMPRSS2
21
42880086
promoter
tumor
0.02
43.57

115
ENST00000361084.9
RAB25
1
156030951
promoter
tumor
0.07
131.5

126
ENST00000368554.8
PRAP1
10
135122914
promoter
tumor
0
32.41

179
ENST00000425042.6
HID1
17
72968829
promoter
tumor
0.23
13.99

197
ENST00000463201.2
PRAP1
10
135164879
promoter
tumor
0
54.46

204
ENST00000478194.1
FERMT1
20
6074819
promoter
tumor
0
27

256
ENST00000588605.5
C19orf33
19
38794804
promoter
tumor
0.22
18.46

268
ENST00000605618.5
LSR
19
35739922
promoter
tumor
0.22
31.85

275
ENST00000619895.4
TMC4
19
54676865
promoter
tumor
0.35
33.05

284
ENST00000234347.9
PRTN3
19
840960
promoter
blood
13.78
0

301
ENST00000299663.7
CLEC4E
12
8693559
promoter
blood
29.27
0.2

306
ENST00000310544.8
PHOSPHO1
17
47307890
promoter
blood
30.92
0.08

322
ENST00000355524.7
FCAR
19
55385736
promoter
blood
53.04
0.07

359
ENST00000398421.6
NCF1
7
74188358
promoter
blood
11.04
0.04

364
ENST00000413580.5
PHOSPHO1
17
47308128
promoter
blood
42.76
0.05

379
ENST00000454703.6
ACSL1
4
185747273
promoter
blood
35.07
0.78

391
ENST00000480395.5
TRIM22
11
5717722
promoter
blood
17.36
0.7

393
ENST00000483750.5
WAS
X
48542217
promoter
blood
34.49
0.17

395
ENST00000485743.1
HBB
11
5248302
promoter
blood
128.52
0

407
ENST00000496823.1
BCL6
3
187463247
promoter
blood
21.33
0.2

410
ENST00000509314.5
FBXL5
4
15661487
promoter
blood
10.24
0

439
ENST00000553070.5
NFE2
12
54694799
promoter
blood
23.61
0

451
ENST00000585901.6
TYROBP
19
36399149
promoter
blood
13.4
0.19

455
ENST00000588673.3
OAZ1
19
2270290
promoter
blood
24.28
0.69

466
ENST00000596764.5
VAV1
19
6772739
promoter
blood
12.25
0.59

467
ENST00000597852.5
CD37
19
49838675
promoter
blood
13.98
0.2

468
ENST00000598034.5
GMFG
19
39826646
promoter
blood
43.77
0.45

469
ENST00000599180.2
FFAR2
19
35939203
promoter
blood
24.79
0

470
ENST00000599716.5
SHKBP1
19
41082793
promoter
blood
10.66
0.22

473
ENST00000602185.5
GMFG
19
39826645
promoter
blood
14.09
0

475
ENST00000605039.5
BIN2
12
51717938
promoter
blood
11.02
0.11

478
ENST00000615439.4
RASGRP4
19
38916945
promoter
blood
10.11
0

480
ENST00000616356.4
FCN1
9
137809723
promoter
blood
16.99
0.07

529
ENST00000291525.11
TFF3
21
43735403
junction
tumor
0
209.02

540
ENST00000300119.7
MYO1A
12
57443671
junction
tumor
0
15.11

553
ENST00000311620.6
ANKS4B
16
21245222
junction
tumor
0
10.61

559
ENST00000318683.6
B3GNT3
19
17906015
junction
tumor
0
57.75

571
ENST00000334869.8
LGMN
14
93214834
junction
tumor
0.94
45.73

594
ENST00000360779.3
SDCBP2
20
1309729
junction
tumor
0
17.84

639
ENST00000394201.8
SCOC
4
141294871
junction
tumor
0.53
14.61

652
ENST00000419308.6
FOXA2
20
22564830
junction
tumor
0
13.51

655
ENST00000425042.6
HID1
17
72968686
junction
tumor
0.23
13.99

673
ENST00000472782.1
ATP5G3
2
176046384
junction
tumor
0.62
10.87

688
ENST00000514985.5
SEPP1
5
42811938
junction
tumor
0.59
49.95

703
ENST00000543623.5
PLCD3
17
43192462
junction
tumor
0.27
14.58

721
ENST00000588605.5
C19orf33
19
38794923
junction
tumor
0.22
18.46

727
ENST00000597153.5
LGALS4
19
39303482
junction
tumor
0
20.51

744
ENST00000234347.9
PRTN3
19
841069
junction
blood
13.78
0

760
ENST00000297239.10
SYTL3
6
159082417
junction
blood
10.79
0.54

777
ENST00000343534.9
C1orf162
1
112016652
junction
blood
37.68
0.74

788
ENST00000367025.7
TRAF3IP3
1
209929654
junction
blood
17.52
0.64

790
ENST00000367535.7
NCF2
1
183559291
junction
blood
75.23
0.98

793
ENST00000368015.1
ARHGAP30
1
161039410
junction
blood
20.61
0.58

830
ENST00000454703.6
ACSL1
4
185747070
junction
blood
35.07
0.78

842
ENST00000485743.1
HBB
11
5248160
junction
blood
128.52
0

852
ENST00000496823.1
BCL6
3
187463198
junction
blood
21.33
0.2

856
ENST00000509339.1
MXD3
5
176734782
junction
blood
30.07
0.08

858
ENST00000513001.5
ACSL1
4
185678973
junction
blood
17.65
0.1

890
ENST00000589900.5
ICAM3
19
10450215
junction
blood
21.24
0

900
ENST00000599716.5
SHKBP1
19
41082891
junction
blood
10.66
0.22

903
ENST00000605039.5
BIN2
12
51717806
junction
blood
11.02
0.11

905
ENST00000615439.4
RASGRP4
19
38916709
junction
blood
10.11
0

Columns

ID: feature index, same as Table S3

Transcript: transcript ID

Gene: gene name

Chr: chromosome

Site: coordinate of nucleosome-depleted site (GRCh37)

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

FPKM_blood: FPKM value in normal blood

FPKM_tumor: FPKM value in tumor of colorectal cancer

TABLE S20

Columns

Feature ID: feature index (see Table S10 for feature details)

MAE: mean absolute error between observed and calculated ctDNA fractions from 652 samples

All predictive pan-cancer feature combinations using in silico samples

generated with random subsets of healthy samples.

Feature ID
MAE

Feature ID
MAE

34 41 90 126 294 376 388 415 742 772
0.034

29 201435 454667 630 742 766 772 787
0.041

34 41 90 126 294 376 388 415 500 772
0.034

34 41 288 490667 680 742 768 772 787
0.041

34 41 90 126 236 294 376 388 415 500
0.036

29 34 36 64 436 667 680 742 766 772
0.041

34 41 90 126 201 294 376 388 415 500
0.036

29 128 428 454 634 645 680 742 772 787
0.041

34 41 90 126 201 294 376 388 415 772
0.036

34 41 90 126 236 294 376 388 742 772
0.041

34 4 1 64 90 126 294 388 415 490 500
0.036

57 90 126 201 236 294 388 415 490 500
0.041

34 41 64 90 126 294 376 388 415 500
0.036

41 90126 201 236 294 376 388 456 500
0.041

34 41 90 1 26 201 294 388 500 742 772
0.037

34 4190126135 201 294 388 500 772
0.041

29 34 415 428 490 645 680 742 766 772
0.038

34 135 415 645667 680 742 766 772 775
0.041

34 41 90 126 201 230 294 376 388 500
0.038

34 41 90126135 201 294 388 490 500
0.041

29 34 36 64 428 490 742 766 772 775
0.038

29 36 396 415 428 435 454 742 766 789
0.041

34 41 64 90 126 201 294 388 742 772
0.038

29 135 428 454 667 680 766 772 775 789
0.042

41 90 126 201 236 294 376 388 415 500
0.038

34 41 64 90 126 135 201294 388 500
0.042

29 57 64 126 428 454 742 766 772 789
0.038

34 41 64 90 126 201 294 376 388 772
0.042

34 41 90 126 201 236 294 388 490 500
0.039

34 41 90 126 236 294 376 388 500 772
0.042

34 126 135 428 680 742 766 772 787 789
0.039

41 84 90126 201 236 294 378 388 500
0.042

34 41 90 126 201 294 388 500 772 775
0.039

13 29 396 415 428 435454 880 786 789
0.042

34 41 90 1 26 201 236 294 376 388 772
0.039

29 34 135 311 428 680 742 766 772 775
0.042

29 34 80135 415 428 742 766 772 775
0.039

41 90 126 201 236 294 378 388 490 500
0.042

34 41 90 201 236 294 376 388 500 772
0.033

64 90 126135 201 294 376 388 415 500
0.042

41 64 30 1 26 294 376 388 415 490 500
0.039

41 90 126 135 201 236 294 376 388 500
0.042

41 64 90 1 26 201 294 376 388 415 500
0.039

29135142 201 242 454 742 766 772 775
0.042

41 90 126 135 236 294 376 388 415 500
0.039

34 64 201 242 428 680 742 766 772 787
0.042

34 41 90 135 201 236 294 376 388 500
0.039

34 36 41 135 311 667 680 742772 775
0.042

34 41 64 90 126 201 294 376 415 500
0.039

123 135 396 415 435 454 500 630 742 766
0.042

41 64 SO 201 236 294 376 388 415 500
0.039

29 138 242 428 454 742 766 772 776 789
0.042

34 41 90126 201 294 376 388 500 772
0.040

288 402 490 547 634 645 667 680 742 787
0.042

34 41 64 90 201 236 294 376 388 500
0.040

29 34 135 428 667 680 742 766 772 775
0.042

41 57 90 126 201 236 294 376 388 500
0.040

34 41 00 126 294 376 388 503 742 772
0.042

34 41 90 126 201 294 376 388 490 500
0.049

135 201 402 428 435 454 742 766 775 789
0.043

123 402 415 456490 645 867 880 742 788
0.040

34 41 64 90 126 234 376 388 490 772
0.043

34 41 242 415 667 680 742 788 772 789
0.040

34 41 90 1 26 294 378 388 490 500 772
0.043

29 34 135 435 667 680 742 766 772 787
0.040

29 135 396 402 428 435 454 490 766 775
0.043

34 41 64 90 201 234 378 415 500 775
0.040

29126 135 388 415 428 435 454 490 789
0.043

34 41 80 126 135 201 294 376 388 500
0.040

135 201 402 428 454 630 742 766 772 787
0.043

34 41 80 1 42 311 415 742 766 772 775
0.040

29 242 428 454 645 867 680 766 775 789
0.043

41 57 64 90 126 201 294 376 396 500
0.040

29 201 428 454 667 680 742 756 772 789
0.043

29 34 123 136 428 680 742 765 772 787
0.040

34 41 90 126 135 201 294 376 490 500
0.043

126 396415428454667 880 742 766 789
0.040

34 36 41 242 288 311 742 766 772 775
0.043

34 41 64 90 126 201 294 378 388 500
0.040

29 201428 435 454 667 680 742 786 789
0.043

34 41 64 90 126 201 294 388 SOO 772
0.041

57 64 90 1 26 201 294 376 388 490 500
0.043

57 90 126 201 294 376 388 415 456 500
0.041

8 19 296 338 415 466 680 766 775 789
0.043

34 36 126 428 645 680 742 768 772 775
0.041

29 135 201428 435 454 742 758 775 789
0.043

34 41 64 90 126 201 294 388 490 500
0.041

34 41 64 90 126 135 201 294 376 506
0.043

29 135 415 428 454 680 742 786 772 789
0.041

29135142 454 667 680 742 766 772 775
0.043

34 41 57 90 126 294 388 500 742 772
0.041

34 36 41 80 135 242 766 772 775 787
0.043

123 135142 242 296 402 456 657 680 787
0.041

29 123 236 428 454 742 766 772 775 789
0.043

Feature ID
MAE

Feature ©
MAE

34 41 64 90126 294 376 338 500 772
0-043

34 135 402 630 634 645660 742 766 772
0.046

142 288 396 402 435 454 634 645666 775
0.043

135 201 428 435 454 674 860 742 766 789
0.046

34 41 64 90 1 26 294 388 500 742 772
0.044

8123 288 402 490 667 680 742 766 775
0.046

19126 135 386 396 428 454 667 680 769
0.044

123 201 3S6 402 428 435 454 766 775 789
0.046

135 242 396 402 415 634 645 667 674 680
0.044

205 258 338 402 456 490 736 788 787 789
0.046

126 1 35 423 454 645667 680 766 772 789
0.044

29 396 402 428 435 456 634 667 680 787
0.046

41 84 90 126 135 201294 376 388 500
0.044

123 435454 630 634 645 667 680 787 789
0.046

34 41 90 126 201 294 376 456 500 772
0.044

19 288 331 396 402 415 435 630 634 742
0.046

34 41 90 126 135 294 388 490 500 772
0.044

396 428 435 454 667 680 742 766 775 789
0.046

201 415 454 634 645 667 680 742 766 772
0.044

36 201 428 435 454 490 500 680 766 789
0.046

29 34 84 428 667 680 742 768 772 789
0.044

64 123 135 142 205 278 634 645 674 787
0.047

135142 428 454 630 742 766 772 775 789
0.044

29135142 242 388 428 454 490 707 789
0.047

29135 454 490 667 680 742 766 772 775
0.044

237 288 296 331 338 435 547 634 775 787
0.047

29123135 376 396 454 680 742 766 789
0.044

34 41 135 634 645 667 680 742 766 772
0.047

135 242 378 396 402 415 428 435 454 490
0.044

123 142 242 288 415 634 645 667 680 789
0.047

34 41 90 201 294 376 500 645 742 772
0.044

135 396 402 634 645 667 674 680 787 789
0.047

64 90 126 135 201 236 294 376 388 500
0.044

8 19 64 142 288 296 435 667 674 787
0.047

37 278 288 331 338 376 547 634 645 787
0.044

118 225 236 258 278 286 296 311 456 589
0.047

34 41 57 90 201 294 376 500 742 772
0.044

19 64 415 490 634 645 674 775 776 789
0.047

10 29 36 135 142 388 396435 454 789
0.044

8 64 123135142 278 415 634 645 674
0.047

90126135 201 238 294 376 388 490 500
0.044

29123 201 428 435 454 490 500 766 775
0.047

29123 135 142 396 415 435 454 766 775
0.944

19 36 201 428 435 454 742 766 775 788
0 047

29 306 428 435 454 490 680 742 766 789
0.045

29123 454 645667 680 742 766 772 789
0.047

29 64 135142 428 454 490 766 772 789
0.045

36 135 142 201 415 454 500 766 775 789
0.047

29 428 435 454 634 645 680 742 766 772
0.045

8 19 142 278 396 415 674 766 775 789
0.047

135 396 402 435 454 480 742 766 775 789
0.045

123 288 435 634 645 680 742 766 772 775
0.048

29135 454 634 845 667 680 742 766 772
0.045

34 41 311 630 634 645 667 680 742 772
0.048

29135 428 454 645 667 680 742 766 772
0.045

8 64 278 286 296 338 544 634 645 787
0.048

34 41 64 90 126 294 376 388 490 500
0.045

8 64 205 278 415 544 634 645 674 789
0.048

29 142 288 428 454 667 680 742 766 772
0.045

123 135 242 547 634 645 667 680 742 776
0.048

123 205 288 402 435 634 645 667 680 787
0.045

8 37 142 278 288 296 331 338 415 634
0.048

34 36 135 428 490 687 680 742 766 772
0.045

34 3641 80135242 311435 490 787
0.048

29 428 454 634 645 667 680 742 766 772
0.045

29 34 36 57135 242 428 772 775 789
0.048

29 38 8 428 454 634 645 667 680 742 772
0.045

34 135 428 834 845 667 680 742 7S6 772
0.048

29135 396 428 454 490 742 766 775 789
0.045

142 278 288 396 454 630 634 645 666 789
0.048

41 64 90 1 35 201 294 376 388 456 500
0.045

288 296 402 547 630 634 645 667 674 680
0.046

29142 396 428 435 454 490 766 775 789
0.045

8 123 135 142 242 396 402 456 490 787
0.048

29 135 415 428 435 454 500 766 775 789
0.045

B 142 237 258 296 402 456 695 776 787
0.048

29135 428 454 490 680 742 766 772 789
0.045

123 242 288 428 634 645 667 680 766 775
0.048

19 135 142 415 428 454 490 766 775 789
0.045

142 278 288 396 428 454 634 645 775 789
0.049

64 205 225 278 296 416 544 634 645 674
0.045

83 205 225 236 286 402 456 544 589 708
0.049

29 135 142 428 454 667 680 742 768 772
0.045

123 242 288 396 402 034 045 607 680 742
0.049

29 34 288 428 435 667 680 742 766 772
0.045

142 205 278 288 396 415 435 634 645 742
0.049

123 278 288 396 415 435 454 456 766 789
0.045

8 288 296 415 456 634 645 667 680 766
0.049

29 388 428 435 454 645 667 680 742 772
0.045

36 225 288 428 500 667 674 680 787 789
0.049

8 142 415 435 645 667 674 680 766 775
0.045

135 376 402 415 428 435 454 5® 775 789
0.049

29135 428 454 490 634 645 680 766 772
0.045

29 123 135 396 454 667 674 680 787 789
0.049

64 90 126 201 236 294 376 388 490 500
0.045

8 123 242 288 296 415 742 766 775 789
0.049

64 90 125135 201 294 376 388 490 500
0.046

135 142 428 454 634 645 667 680 742 766
0.049

34 428 435 667 680 742 766 772 775 789
0.046

19 118 278 288 296 338 547 634 653 787
0.049

36135 428 435 454 645 667 680 742 766
0.046

19 64 123 142 288 396 415 674 742 769
0.049

Feature ID
MAE

8 29118 135 142 205 242 415 674 680
0.049

64 135142 242 396 415 456 634 645 667
0.049

142 288 396 435 454 430 630 634 645 666
0.049

142 242 338 416 544 634 645 667 680 787
0.049

9 211 236 258 296 348 376 544 621 666
0.049

258 357 402 415 456 544 621 666 674 695
0.049

142 278 331 396 428435 454 634 645 787
0.049

29 123142 205 288 634 645 667 680 787
0.049

8 19 64 205 278 288 296 338 653 787
0.049

29 36 64 135 142 428 435454 775 787
0.049

123 142 237 236 396 415 645 667 680 776
0.049

286 288 296 490 547 634 645 666 667 787
0.049

19 29 123 135 376 396 634 645 680 766
0.050

123 142 205 396 435 454 456 680 742 766
0.050

236 242 258 306 402 544 621 666 674 695
0.050

29 225 288 296 461 634 645 667 674 680
0.050

19 135142 396 435 454 674 775 787 789
0.050

8 80123 205 237 288 396 402 766 775
0.050

118 205 547 634 645 667 674 680 695 787
0.050

8 52 64 278 288 296 338 415 435 490
0.050

15 225 306 311 402 469 589 607 630 695
0.050

TABLE S21

Information on predictive pan-cancer features using in silico

samples generated with random subsets of healthy samples.

ID
Transcript
Gene
Chr
Site
Region
Group
FPKM_blood

8
ENST00000221954.6
CEACAM4
19
42133442
promoter
blood
32.81

9
ENST00000225275.3
MPO
17
56358296
promoter
blood
7.23

15
ENST00000262407.5
ITGA2B
17
42466873
promoter
blood
12.34

19
ENST00000264260.6
IL18RAP
2
103035149
promoter
blood
42.11

29
ENST00000299663.7
CLEC4E
12
8693559
promoter
blood
29.27

34
ENST00000307395.4
GP9
3
128779610
promoter
blood
9.72

36
ENST00000310544.8
PHOSPHO1
17
47307890
promoter
blood
30.92

37
ENST00000312156.8
NFE2
12
54689544
promoter
blood
11.15

41
ENST00000324134.10
NLRP12
19
54327597
promoter
blood
9.17

52
ENST00000342063.4
C19orf35
19
2282175
promoter
blood
8.64

57
ENST00000355524.7
FCAR
19
55385736
promoter
blood
53.04

64
ENST00000375448.4
PADI4
1
17634692
promoter
blood
95.04

80
ENST00000391726.7
FCAR
19
55385704
promoter
blood
6

83
ENST00000392841.1
HMBS
11
118958697
promoter
blood
7.28

90
ENST00000398632.3
MX2
21
42774561
promoter
blood
7.28

118
ENST00000452208.1
RGL4
22
24038671
promoter
blood
64.94

123
ENST00000460208.1
LILRB3
19
54721567
promoter
blood
51.15

126
ENST00000462275.5
TBXAS1
7
139529072
promoter
blood
6.07

135
ENST00000465984.5
SLC11A1
2
219246911
promoter
blood
10.54

142
ENST00000467972.5
SLC12A9
7
100454416
promoter
blood
6.8

201
ENST00000487761.5
GPSM3
6
32160645
promoter
blood
14.37

205
ENST00000488970.1
BTK
X
100609209
promoter
blood
7.4

211
ENST00000490872.1
SLC11A1
2
219254688
promoter
blood
26.15

225
ENST00000496915.1
PREX1
20
47259276
promoter
blood
5.23

236
ENST00000509314.5
FBXL5
4
15661487
promoter
blood
10.24

237
ENST00000509339.1
MXD3
5
176735063
promoter
blood
30.07

242
ENST00000517813.1
DENND3
8
142194587
promoter
blood
13.47

258
ENST00000523369.1
LCP2
5
169685502
promoter
blood
9.88

278
ENST00000533815.2
BTNL8
5
180336564
promoter
blood
5.72

286
ENST00000538842.1
ATG16L2
11
72527790
promoter
blood
6.35

288
ENST00000539932.5
SLC11A1
2
219246926
promoter
blood
50.32

294
ENST00000542481.1
ATG16L2
11
72534940
promoter
blood
25.18

296
ENST00000543576.5
DENND1C
19
6481798
promoter
blood
12.06

306
ENST00000554736.5
GNG2
14
52328042
promoter
blood
9.3

311
ENST00000559341.5
MAN2A2
15
91459225
promoter
blood
8.61

331
ENST00000566082.1
USB1
16
58049017
promoter
blood
6.82

338
ENST00000570439.1
ACAP1
17
7248650
promoter
blood
5.27

348
ENST00000574548.1
RNF167
17
4847675
promoter
blood
6.4

357
ENST00000581974.1
DHRS13
17
27226541
promoter
blood
5.97

376
ENST00000590974.1
LYL1
19
13213975
promoter
blood
5.48

388
ENST00000597611.7
FKBP8
19
18654887
promoter
blood
9.25

396
ENST00000599180.2
FFAR2
19
35939203
promoter
blood
24.79

402
ENST00000601502.1
MYO1F
19
8610602
promoter
blood
8.05

415
ENST00000615340.4
RASGRP4
19
38916837
promoter
blood
6.88

416
ENST00000616356.4
FCN1
9
137809723
promoter
blood
16.99

428
ENST00000221954.6
CEACAM4
19
42133268
junction
blood
32.81

435
ENST00000262407.5
ITGA2B
17
42466654
junction
blood
12.34

454
ENST00000307395.4
GP9
3
128779693
junction
blood
9.72

456
ENST00000310544.8
PHOSPHO1
17
47307830
junction
blood
30.92

461
ENST00000324134.10
NLRP12
19
54327140
junction
blood
9.17

469
ENST00000338372.6
VSTM1
19
54566998
junction
blood
10.71

490
ENST00000380299.3
HBD
11
5255572
junction
blood
138.84

500
ENST00000394430.5
RASGRP2
11
64510266
junction
blood
17.61

544
ENST00000465984.5
SLC11A1
2
219247098
junction
blood
10.54

547
ENST00000466612.5
ABTB1
3
127392451
junction
blood
6.18

589
ENST00000484762.1
CSF3R
1
36933423
junction
blood
8.26

607
ENST00000488970.1
BTK
X
100608858
junction
blood
7.4

621
ENST00000496915.1
PREX1
20
47258945
junction
blood
5.23

630
ENST00000509314.5
FBXL5
4
15661350
junction
blood
10.24

634
ENST00000513001.5
ACSL1
4
185678973
junction
blood
17.65

645
ENST00000521442.1
ATP6V1B2
8
20075793
junction
blood
8.33

653
ENST00000526387.5
TBC1D10C
11
67171411
junction
blood
7.1

666
ENST00000532897.5
MKNK1
1
47037735
junction
blood
6.23

667
ENST00000533815.2
BTNL8
5
180336697
junction
blood
5.72

674
ENST00000538842.1
ATG16L2
11
72527872
junction
blood
6.35

680
ENST00000542481.1
ATG16L2
11
72535167
junction
blood
25.18

695
ENST00000559341.5
MAN2A2
15
91459486
junction
blood
8.61

708
ENST00000564894.1
RNF166
16
88767670
junction
blood
7.9

736
ENST00000581974.1
DHRS13
17
27226145
junction
blood
5.97

742
ENST00000585852.5
FMNL1
17
43308054
junction
blood
19.81

766
ENST00000597611.7
FKBP8
19
18654719
junction
blood
9.25

772
ENST00000599180.2
FFAR2
19
35939281
junction
blood
24.79

775
ENST00000599716.5
SHKBP1
19
41082891
junction
blood
10.66

776
ENST00000600463.1
IFI30
19
18286032
junction
blood
6.41

787
ENST00000614135.4
RASGRP4
19
38916709
junction
blood
8.18

789
ENST00000616356.4
FCN1
9
137809615
junction
blood
16.99

Columns

ID: feature index

Transcript: transcript ID

Gene: gene name

Chr: chromosome

Site: coordinate of nucleosome-depleted site (GRCh37)

Region: location of nucleosome-depleted site

Group: gene group based on its expression in blood and tumor

FPKM_blood: FPKM value in normal blood. Their FPKM values in tumors of 20 cancer types are all <1.

Supplementary Data 1

chr1
11106604
11107500
466_105938_2475(MTOR)_59a
0
—

chr1
11108180
11108286
466_105937_2475(MTOR)_58a
0
—

chr1
11109289
11109370
466_105936_2475(MTOR)_57a
0
—

chr1
11109648
11109729
466_105935_2475(MTOR)_56a
0
—

chr1
11112851
11112917
466_105934_2475(MTOR)_55a
0
—

chr1
11114317
11114453
466_105933_2475(MTOR)_54a
0
—

chr1
11114812
11114887
466_105932_2475(MTOR)_53a
0
—

chr1
11115395
11115468
466_105931_2475(MTOR)_52a
0
—

chr1
11117003
11117086
466_105930_2475(MTOR)_51a
0
—

chr1
11121245
11121368
466_105929_2475(MTOR)_50a
0
—

chr1
11121978
11122126
466_105928_2475(MTOR)_49a
0
—

chr1
11124497
11124633
466_105927_2475(MTOR)_48a
0
—

chr1
11126621
11126796
466_105926_2475(MTOR)_47a
0
—

chr1
11127009
11127144
466_105925_2475(MTOR)_46a
0
—

chr1
11127623
11127806
466_105924_2475(MTOR)_45a
0
—

chr1
11128003
11128126
466_105923_2475(MTOR)_44a
0
—

chr1
11128453
11128552
466_105922_2475(MTOR)_43a
0
—

chr1
11128854
11128951
466_105921_2475(MTOR)_42a
0
—

chr1
11129737
11129838
466_105920_2475(MTOR)_41a
0
—

chr1
11130528
11130777
466_105919_2475(MTOR)_40a
0
—

chr1
11133079
11133197
466_105918_2475(MTOR)_39a
0
—

chr1
11134350
11134466
466_105917_2475(MTOR)_38a
0
—

chr1
11139303
11139435
466_105916_2475(MTOR)_37a
0
—

chr1
11139528
11139658
466_105915_2475(MTOR)_36a
0
—

chr1
11144647
11144755
466_105914_2475(MTOR)_35a
0
—

chr1
11144967
11145045
466_105913_2475(MTOR)_34a
0
—

chr1
11146675
11146791
466_105912_2475(MTOR)_33a
0
—

chr1
11150125
11150226
466_105911_2475(MTOR)_32a
0
—

chr1
11157151
11157291
466_105910_2475(MTOR)_31a
0
—

chr1
11167441
11167517
466_105909_2475(MTOR)_30a
0
—

chr1
11199257
11199403
466_105908_2475(MTOR)_29a
0
—

chr1
11199540
11199703
466_105907_2475(MTOR)_28a
0
—

chr1
11204560
11204703
466_105906_2475(MTOR)_27a
0
—

chr1
11209311
11209458
466_105905_2475(MTOR)_26a
0
—

chr1
11210813
11210906
466_105904_2475(MTOR)_25a
0
—

chr1
11212311
11212474
466_105903_2475(MTOR)_24a
0
—

chr1
11212795
11212908
466_105902_2475(MTOR)_23a
0
—

chr1
11213398
11213566
466_105901_2475(MTOR)_22a
0
—

chr1
11216147
11216234
466_105900_2475(MTOR)_21a
0
—

chr1
11228667
11228918
466_105899_2475(MTOR)_20a
0
—

chr1
11230924
11231054
466_105898_2475(MTOR)_19a
0
—

chr1
11231299
11231434
466_105897_2475(MTOR)_18a
0
—

chr1
11232435
11232528
466_105896_2475(MTOR)_17a
0
—

chr1
11233397
11233487
466_105895_2475(MTOR)_16a
0
—

chr1
11234142
11234265
466_105894_2475(MTOR)_15a
0
—

chr1
11237842
11238048
466_105893_2475(MTOR)_14a
0
—

chr1
11238401
11238617
466_105892_2475(MTOR)_13a
0
—

chr1
11240302
11240547
466_105891_2475(MTOR)_12a
0
—

chr1
11241552
11241681
466_105890_2475(MTOR)_11a
0
—

chr1
11243113
11243300
466_105889_2475(MTOR)_10a
0
—

chr1
11247624
11247733
466_105888_2475(MTOR)_9a
0
—

chr1
11247818
11248094
466_105887_2475(MTOR)_8a
0
—

chr1
11253838
11253973
466_105886_2475(MTOR)_7a
0
—

chr1
11255991
11256192
466_105885_2475(MTOR)_6a
0
—

chr1
11256284
11256302
466_105884_2475(MTOR)_5a
0
—

chr1
11256932
11257165
466_105883_2475(MTOR)_4a
0
—

chr1
11258484
11258593
466_105882_2475(MTOR)_3a
0
—

chr1
11259247
11259415
466_105881_2475(MTOR)_2a
0
—

chr1
26696403
26697540
426_4218_8289(ARID1A)_1a
0
—

chr1
26729650
26729863
426_4219_8289(ARID1A)_2a
0
—

chr1
26731151
26731604
426_4220_8289(ARID1A)_3a
0
—

chr1
26732675
26732792
426_4221_8289(ARID1A)_4a
0
—

chr1
26760855
26761096
426_4222_8289(ARID1A)_5a
0
—

chr1
26761383
26761473
426_4223_8289(ARID1A)_6a
0
—

chr1
26762151
26762319
426_4224_8289(ARID1A)_7a
0
—

chr1
26762972
26763285
426_4225_8289(ARID1A)_8a
0
—

chr1
26766220
26766366
426_4226_8289(ARID1A)_9a
0
—

chr1
26766456
26766566
426_4227_8289(ARID1A)_10a
0
—

chr1
26767789
26767999
426_4228_8289(ARID1A)_11a
0
—

chr1
26771118
26771326
426_4229_8289(ARID1A)_12a
0
—

chr1
26772499
26772632
426_4230_8289(ARID1A)_13a
0
—

chr1
26772811
26772987
426_4231_8289(ARID1A)_14a
0
—

chr1
26773345
26773496
426_4232_8289(ARID1A)_15a
0
—

chr1
26773579
26773717
426_4233_8289(ARID1A)_16a
0
—

chr1
26773801
26773898
426_4234_8289(ARID1A)_17a
0
—

chr1
26774328
26775220
426_4235_8289(ARID1A)_18a
0
—

chr1
26775576
26775707
426_4236_8289(ARID1A)_19a
0
—

chr1
26779022
26780756
426_4237_8289(ARID1A)_20a
0
—

chr1
43337848
43337927
466_106798_4352(MPL)_1a
0
—

chr1
43338098
43338231
466_106799_4352(MPL)_2a
0
—

chr1
43338541
43338720
466_106800_4352(MPL)_3a
0
—

chr1
43339270
43339569
466_106801_4352(MPL)_4a
0
—

chr1
43339963
43340126
466_106802_4352(MPL)_5a
0
—

chr1
43340386
43340513
466_106803_4352(MPL)_6a
0
—

chr1
43346444
43346629
466_106804_4352(MPL)_7a
0
—

chr1
43346791
43346934
466_106805_4352(MPL)_8a
0
—

chr1
43348842
43349002
466_106806_4352(MPL)_9a
0
—

chr1
43349262
43349359
466_106807_4352(MPL)_10a
0
—

chr1
43352215
43352303
466_106808_4352(MPL)_11a
0
—

chr1
43352517
43352772
466_106809_4352(MPL)_12a
0
—

chr1
64834561
64834657
463_81647_3716(JAK1)_26a
0
—

chr1
64835395
64835506
463_81646_3716(JAK1)_25a
0
—

chr1
64836097
64836215
463_81645_3716(JAK1)_24a
0
—

chr1
64837931
64838104
463_81644_3716(JAK1)_23a
0
—

chr1
64838464
64838589
463_81643_3716(JAK1)_22a
0
—

chr1
64839602
64839795
463_81642_3716(JAK1)_21a
0
—

chr1
64841244
64841339
463_81641_3716(JAK1)_20a
0
—

chr1
64841450
64841601
463_81640_3716(JAK1)_19a
0
—

chr1
64844063
64844215
463_81639_3716(JAK1)_18a
0
—

chr1
64844753
64844889
463_81638_3716(JAK1)_17a
0
—

chr1
64845512
64845640
463_81637_3716(JAK1)_16a
0
—

chr1
64846648
64846736
463_81636_3716(JAK1)_15a
0
—

chr1
64847531
64847675
463_81635_3716(JAK1)_14a
0
—

chr1
64850803
64850910
463_81634_3716(JAK1)_13a
0
—

chr1
64855508
64855698
463_81633_3716(JAK1)_12a
0
—

chr1
64857655
64857779
463_81632_3716(JAK1)_11a
0
—

chr1
64860104
64860262
463_81631_3716(JAK1)_10a
0
—

chr1
64864786
64864972
463_81630_3716(JAK1)_9a
0
—

chr1
64866865
64867208
463_81629_3716(JAK1)_8a
0
—

chr1
64869310
64869474
463_81628_3716(JAK1)_7a
0
—

chr1
64873369
64873523
463_81627_3716(JAK1)_6a
0
—

chr1
64879024
64879148
463_81626_3716(JAK1)_5a
0
—

chr1
64883276
64883475
463_81625_3716(JAK1)_4a
0
—

chr1
64886258
64886341
463_81624_3716(JAK1)_3a
0
—

chr1
113391033
113391349
465_103736_260425(MAGI3)_1
0
—

chr1
113549514
113549631
465_103737_260425(MAGI3)_2
0
—

chr1
113580541
113580661
465_103738_260425(MAGI3)_3
0
—

chr1
113585386
113585596
465_103739_260425(MAGI3)_4
0
—

chr1
113590483
113590658
465_103740_260425(MAGI3)_5
0
—

chr1
113594480
113594560
465_103741_260425(MAGI3)_6
0
—

chr1
113614600
113614658
465_103742_260425(MAGI3)_7
0
—

chr1
113618531
113618606
465_103743_260425(MAGI3)_8
0
—

chr1
113619735
113619830
465_103744_260425(MAGI3)_9
0
—

chr1
113622805
113622994
465_103745_260425(MAGI3)_1
0
—

chr1
113641910
113642516
465_103746_260425(MAGI3)_11
0
—

chr1
113643742
113643774
465_103747_260425(MAGI3)_12
0
—

chr1
113646485
113646642
465_103748_260425(MAGI3)_13
0
—

chr1
113649236
113649328
465_103749_260425(MAGI3)_14
0
—

chr1
113651013
113651206
465_103750_260425(MAGI3)_15
0
—

chr1
113653829
113654018
465_103751_260425(MAGI3)_16
0
—

chr1
113659079
113659265
465_103752_260425(MAGI3)_17
0
—

chr1
113671733
113671836
465_103753_260425(MAGI3)_18
0
—

chr1
113672614
113672741
465_103754_260425(MAGI3)_19
0
—

chr1
113673321
113673465
465_103755_260425(MAGI3)_20
0
—

chr1
113681197
113681336
465_103756_260425(MAGI3)_21
0
—

chr1
113682211
113684014
465_103757_260425(MAGI3)_22
0
—

chr1
114708534
114708654
469_119576_4893(NRAS)_5
0
—

chr1
114709568
114709728
469_119575_4893(NRAS)_4
0
—

chr1
114713799
114713978
469_119574_4893(NRAS)_3
0
—

chr1
114716049
114716160
469_119573_4893(NRAS)_2
0
—

chr1
162711291
162711300
431_48982_4921(DDR2)_4a
0
—

chr1
162719036
162719145
431_48983_4921(DDR2)_5a
0
—

chr1
162719190
162719214
431_48984_4921(DDR2)_6a
0
—

chr1
162741585
162741712
431_48985_4921(DDR2)_7a
0
—

chr1
162753094
162753197
431_48986_4921(DDR2)_8a
0
—

chr1
162754623
162754855
431_48987_4921(DDR2)_9a
0
—

chr1
162755155
162755303
431_48988_4921(DDR2)_10a
0
—

chr1
162755663
162755769
431_48989_4921(DDR2)_11a
0
—

chr1
162759795
162759979
431_48990_4921(DDR2)_12a
0
—

chr1
162761210
162761454
431_48991_4921(DDR2)_13a
0
—

chr1
162766000
162766063
431_48992_4921(DDR2)_14a
0
—

chr1
162767228
162767359
431_48993_4921(DDR2)_15a
0
—

chr1
162770301
162770512
431_48994_4921(DDR2)_16a
0
—

chr1
162772023
162772247
431_48995_4921(DDR2)_17a
0
—

chr1
162773468
162773596
431_48996_4921(DDR2)_18a
0
—

chr1
162775651
162775843
431_48997_4921(DDR2)_19a
0
—

chr1
162776135
162776370
431_48998_4921(DDR2)_20a
0
—

chr1
162778579
162778729
431_48999_4921(DDR2)_21a
0
—

chr1
162780111
162780246
431_49000_4921(DDR2)_22a
0
—

chr1
204525327
204525346
466_106137_4194(MDM4)_2a
0
—

chr1
204525483
204525596
466_106138_4194(MDM4)_3a
0
—

chr1
204526359
204526434
466_106139_4194(MDM4)_4a
0
—

chr1
204530683
204530817
466_106140_4194(MDM4)_5a
0
—

chr1
204532190
204532246
466_106141_4194(MDM4)_6a
0
—

chr1
204537429
204537497
466_106142_4194(MDM4)_7a
0
—

chr1
204538208
204538308
466_106143_4194(MDM4)_8a
0
—

chr1
204542783
204542944
466_106144_4194(MDM4)_9a
0
—

chr1
204544534
204544684
466_106145_4194(MDM4)_10a
0
—

chr1
204546796
204546877
466_106146_4194(MDM4)_11a
0
—

chr1
204549112
204549682
466_106147_4194(MDM4)_12a
0
—

chr10
8055655
8055896
462_69261_2625(GATA3)_4a
0
—

chr10
8058304
8058841
462_69262_2625(GATA3)_5a
0
—

chr10
8063992
8064138
462_69263_2625(GATA3)_6a
0
—

chr10
8069472
8069598
462_69264_2625(GATA3)_7a
0
—

chr10
8073738
8074023
462_69265_2625(GATA3)_8a
0
—

chr10
43077258
43077331
473_148919_5979(RET)_1a
0
—

chr10
43100458
43100722
473_148920_5979(RET)_2a
0
—

chr10
43102341
43102629
473_148921_5979(RET)_3a
0
—

chr10
43104951
43105193
473_148922_5979(RET)_4a
0
—

chr10
43106375
43106571
473_148923_5979(RET)_5a
0
—

chr10
43109030
43109230
473_148924_5979(RET)_6a
0
—

chr10
43111206
43111465
473_148925_5979(RET)_7a
0
—

chr10
43112098
43112224
473_148926_5979(RET)_8a
0
—

chr10
43112852
43112963
473_148927_5979(RET)_9a
0
—

chr10
43113555
43113675
473_148928_5979(RET)_10a
0
—

chr10
43114479
43114736
473_148929_5979(RET)_11a
0
—

chr10
43116583
43116731
473_148930_5979(RET)_12a
0
—

chr10
43118372
43118480
473_148931_5979(RET)_13a
0
—

chr10
43119530
43119745
473_148932_5979(RET)_14a
0
—

chr10
43120080
43120203
473_148933_5979(RET)_15a
0
—

chr10
43121945
43122016
473_148934_5979(RET)_16a
0
—

chr10
43123670
43123808
473_148935_5979(RET)_17a
0
—

chr10
43124882
43124982
473_148936_5979(RET)_18a
0
—

chr10
43126574
43127504
473_148937_5979(RET)_19a
0
—

chr10
43128111
43128269
473_148938_5979(RET)_20a
0
—

chr10
87864468
87864547
472_139786_5728(PTEN)_1
0
—

chr10
87894024
87894109
472_139787_5728(PTEN)_2
0
—

chr10
87925512
87925557
472_139788_5728(PTEN)_3
0
—

chr10
87931045
87931089
472_139789_5728(PTEN)_4
0
—

chr10
87933012
87933251
472_139790_5728(PTEN)_5
0
—

chr10
87952117
87952259
472_139791_5728(PTEN)_6
0
—

chr10
87957852
87958019
472_139792_5728(PTEN)_7
0
—

chr10
87960893
87961118
472_139793_5728(PTEN)_8
0
—

chr10
87965286
87965472
472_139794_5728(PTEN)_9
0
—

chr10
121479580
121480021
461_60371_2263(FGFR2)_21a
0
—

chr10
121481850
121482177
461_60370_2263(FGFR2)_20a
0
—

chr10
121483697
121483803
461_60369_2263(FGFR2)_19a
0
—

chr10
121485394
121485532
461_60368_2263(FGFR2)_18a
0
—

chr10
121487353
121487424
461_60367_2263(FGFR2)_17a
0
—

chr10
121487990
121488113
461_60366_2263(FGFR2)_16a
0
—

chr10
121496531
121496722
461_60365_2263(FGFR2)_15a
0
—

chr10
121498494
121498605
461_60364_2263(FGFR2)_14a
0
—

chr10
121500825
121500947
461_60363_2263(FGFR2)_13a
0
—

chr10
121503789
121503941
461_60362_2263(FGFR2)_12a
0
—

chr10
121515116
121515319
461_60361_2263(FGFR2)_11a
0
—

chr10
121517318
121517463
461_60360_2263(FGFR2)_10a
0
—

chr10
121518681
121518829
461_60359_2263(FGFR2)_9a
0
—

chr10
121519978
121520169
461_60358_2263(FGFR2)_8a
0
—

chr10
121538591
121538715
461_60357_2263(FGFR2)_7a
0
—

chr10
121551289
121551459
461_60356_2263(FGFR2)_6a
0
—

chr10
121564501
121564579
461_60355_2263(FGFR2)_5a
0
—

chr10
121565437
121565704
461_60354_2263(FGFR2)_4a
0
—

chr10
121593708
121593817
461_60353_2263(FGFR2)_3a
0
—

chr11
532588
532755
463_79038_3265(HRAS)_6a
0
—

chr11
533276
533358
463_79037_3265(HRAS)_5a
0
—

chr11
533452
533612
463_79036_3265(HRAS)_4a
0
—

chr11
533765
533944
463_79035_3265(HRAS)_3a
0
—

chr11
534211
534322
463_79034_3265(HRAS)_2a
0
—

chr11
108227624
108227696
427_14211_472(ATM)_5
0
—

chr11
108227775
108227888
427_14212_472(ATM)_6
0
—

chr11
108229177
108229323
427_14213_472(ATM)_7
0
—

chr11
108235669
108235834
427_14214_472(ATM)_8
0
—

chr11
108243952
108244118
427_14215_472(ATM)_9
0
—

chr11
108244787
108245026
427_14216_472(ATM)_10
0
—

chr11
108246543
108246560
427_14217_472(ATM)_11
0
—

chr11
108246963
108247127
427_14218_472(ATM)_12
0
—

chr11
108248932
108249102
427_14219_472(ATM)_13
0
—

chr11
108250700
108251072
427_14220_472(ATM)_14
0
—

chr11
108251836
108252031
427_14221_472(ATM)_15
0
—

chr11
108252816
108252912
427_14222_472(ATM)_16
0
—

chr11
108253813
108254039
427_14223_472(ATM)_17
0
—

chr11
108256214
108256340
427_14224_472(ATM)_18
0
—

chr11
108257480
108257606
427_14225_472(ATM)_19
0
—

chr11
108258985
108259075
427_14226_472(ATM)_20
0
—

chr11
108267170
108267342
427_14227_472(ATM)_21
0
—

chr11
108268409
108268609
427_14228_472(ATM)_22
0
—

chr11
108271063
108271146
427_14229_472(ATM)_23
0
—

chr11
108271250
108271406
427_14230_472(ATM)_24
0
—

chr11
108272531
108272607
427_14231_472(ATM)_25
0
—

chr11
108272721
108272852
427_14232_472(ATM)_26
0
—

chr11
108279490
108279608
427_14233_472(ATM)_27
0
—

chr11
108280994
108281168
427_14234_472(ATM)_28
0
—

chr11
108282709
108282879
427_14235_472(ATM)_29
0
—

chr11
108284226
108284473
427_14236_472(ATM)_30
0
—

chr11
108287599
108287715
427_14237_472(ATM)_31
0
—

chr11
108288976
108289103
427_14238_472(ATM)_32
0
—

chr11
108289601
108289801
427_14239_472(ATM)_33
0
—

chr11
108292618
108292793
427_14240_472(ATM)_34
0
—

chr11
108293312
108293477
427_14241_472(ATM)_35
0
—

chr11
108294926
108295059
427_14242_472(ATM)_36
0
—

chr11
108297286
108297382
427_14243_472(ATM)_37
0
—

chr11
108299713
108299885
427_14244_472(ATM)_38
0
—

chr11
108301647
108301789
427_14245_472(ATM)_39
0
—

chr11
108302852
108303029
427_14246_472(ATM)_40
0
—

chr11
108304674
108304852
427_14247_472(ATM)_41
0
—

chr11
108307896
108307984
427_14248_472(ATM)_42
0
—

chr11
108310159
108310315
427_14249_472(ATM)_43
0
—

chr11
108312410
108312498
427_14250_472(ATM)_44
0
—

chr11
108315822
108315911
427_14251_472(ATM)_45
0
—

chr11
108316010
108316113
427_14252_472(ATM)_46
0
—

chr11
108317372
108317521
427_14253_472(ATM)_47
0
—

chr11
108319953
108320058
427_14254_472(ATM)_48
0
—

chr11
108321300
108321420
427_14255_472(ATM)_49
0
—

chr11
108325309
108325544
427_14256_472(ATM)_50
0
—

chr11
108326057
108326225
427_14257_472(ATM)_51
0
—

chr11
108327644
108327758
427_14258_472(ATM)_52
0
—

chr11
108329020
108329238
427_14259_472(ATM)_53
0
—

chr11
108330213
108330421
427_14260_472(ATM)_54
0
—

chr11
108331443
108331557
427_14261_472(ATM)_55
0
—

chr11
108331878
108332037
427_14262_472(ATM)_56
0
—

chr11
108332761
108332900
427_14263_472(ATM)_57
0
—

chr11
108333885
108333968
427_14264_472(ATM)_58
0
—

chr11
108334968
108335109
427_14265_472(ATM)_59
0
—

chr11
108335844
108335961
427_14266_472(ATM)_60
0
—

chr11
108343221
108343371
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chr11
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chr11
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chr11
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chr11
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chr11
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chr11
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chr12
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chr12
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chr12
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chr13
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—

chr13
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427_15650_675(BRCA2)_2
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—

chr13
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427_15651_675(BRCA2)_3
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chr13
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427_15652_675(BRCA2)_4
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chr13
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427_15653_675(BRCA2)_5
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chr13
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427_15654_675(BRCA2)_6
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chr13
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427_15655_675(BRCA2)_7
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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472_141452_5925(RB1)_10a
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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472_141459_5925(RB1)_17a
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr13
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chr14
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chr14
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426_1782_207(AKT1)_16a
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chr14
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426_1781_207(AKT1)_15a
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chr14
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426_1780_207(AKT1)_14a
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chr14
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chr14
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chr14
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chr14
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chr14
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chr14
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chr14
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chr14
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chr14
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chr14
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr15
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chr17
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chr17
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chr17
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chr17
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chr17
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chr17
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chr17
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chr17
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chr17
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chr17
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chr17
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chr19
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—

chr19
50398851
50399053
470_129016_5424(POLD1)_2
0
—

chr19
50399370
50399484
470_129017_5424(POLD1)_3
0
—

chr19
50401777
50401924
470_129018_5424(POLD1)_4
0
—

chr19
50401998
50402124
470_129019_5424(POLD1)_5
0
—

chr19
50402204
50402373
470_129020_5424(POLD1)_6
0
—

chr19
50402453
50402535
470_129021_5424(POLD1)_7
0
—

chr19
50402611
50402741
470_129022_5424(POLD1)_8
0
—

chr19
50403052
50403219
470_129023_5424(POLD1)_9
0
—

chr19
50403492
50403597
470_129024_5424(POLD1)_10
0
—

chr19
50406181
50406322
470_129025_5424(POLD1)_11
0
—

chr19
50406406
50406517
470_129026_5424(POLD1)_12
0
—

chr19
50406982
50407174
470_129027_5424(POLD1)_13
0
—

chr19
50407326
50407415
470_129028_5424(POLD1)_14
0
—

chr19
50408706
50408901
470_129029_5424(POLD1)_15
0
—

chr19
50409121
50409235
470_129030_5424(POLD1)_16
0
—

chr19
50409518
50409666
470_129031_5424(POLD1)_17
0
—

chr19
50413425
50413521
470_129032_5424(POLD1)_18
0
—

chr19
50413741
50413879
470_129033_5424(POLD1)_19
0
—

chr19
50414814
50414990
470_129034_5424(POLD1)_20
0
—

chr19
50415437
50415590
470_129035_5424(POLD1)_21
0
—

chr19
50415723
50415826
470_129036_5424(POLD1)_22
0
—

chr19
50416395
50416528
470_129037_5424(POLD1)_23
0
—

chr19
50416609
50416723
470_129038_5424(POLD1)_24
0
—

chr19
50417044
50417097
470_129039_5424(POLD1)_25
0
—

chr19
50417171
50417269
470_129040_5424(POLD1)_26
0
—

chr19
50417841
50417947
470_129041_5424(POLD1)_27
0
—

chr2
29193223
29193922
426_1998_238(ALK)_29
0
—

chr2
29196769
29196860
426_1997_238(ALK)_28
0
—

chr2
29197541
29197676
426_1996_238(ALK)_27
0
—

chr2
29207170
29207272
426_1995_238(ALK)_26
0
—

chr2
29209785
29209878
426_1994_238(ALK)_25
0
—

chr2
29213983
29214081
426_1993_238(ALK)_24
0
—

chr2
29220705
29220835
426_1992_238(ALK)_23
0
—

chr2
29222343
29222408
426_1991_238(ALK)_22
0
—

chr2
29222516
29222607
426_1990_238(ALK)_21
0
—

chr2
29223341
29223528
426_1989_238(ALK)_20
0
—

chr2
29225460
29225565
426_1988_238(ALK)_19
0
—

chr2
29226921
29227074
426_1987_238(ALK)_18
0
—

chr2
29227573
29227672
426_1986_238(ALK)_17
0
—

chr2
29228883
29229066
426_1985_238(ALK)_16
0
—

chr2
29232303
29232448
426_1984_238(ALK)_15
0
—

chr2
29233564
29233696
426_1983_238(ALK)_14
0
—

chr2
29239679
29239830
426_1982_238(ALK)_13
0
—

chr2
29251104
29251267
426_1981_238(ALK)_12
0
—

chr2
29275098
29275227
426_1980_238(ALK)_11
0
—

chr2
29275401
29275496
426_1979_238(ALK)_10
0
—

chr2
29296887
29297057
426_1978_238(ALK)_9
0
—

chr2
29318303
29318404
426_1977_238(ALK)_8
0
—

chr2
29320750
29320882
426_1976_238(ALK)_7
0
—

chr2
29328349
29328481
426_1975_238(ALK)_6
0
—

chr2
29383731
29383859
426_1974_238(ALK)_5
0
—

chr2
29531914
29532116
426_1973_238(ALK)_4
0
—

chr2
29694849
29695014
426_1972_238(ALK)_3
0
—

chr2
29717577
29717697
426_1971_238(ALK)_2
0
—

chr2
29919992
29920659
426_1970_238(ALK)_1
0
—

chr2
43224318
43225752
477_180793_678(ZFP36L2)_2
0
—

chr2
43226264
43226315
477_180792_678(ZFP36L2)_1
0
—

chr2
147845152
147845207
426_921_92(ACVR2A)_2
0
—

chr2
147896300
147896508
426_922_92(ACVR2A)_3
0
—

chr2
147899457
147899567
426_923_92(ACVR2A)_4
0
—

chr2
147899743
147899898
426_924_92(ACVR2A)_5
0
—

chr2
147915190
147915334
426_925_92(ACVR2A)_6
0
—

chr2
147917282
147917426
426_926_92(ACVR2A)_7
0
—

chr2
147918446
147918592
426_927_92(ACVR2A)_8
0
—

chr2
147920229
147920344
426_928_92(ACVR2A)_9
0
—

chr2
147922972
147923111
426_929_92(ACVR2A)_10
0
—

chr2
147926030
147926161
426_930_92(ACVR2A)_11
0
—

chr2
147927079
147927274
426_931_92(ACVR2A)_12
0
—

chr2
208237078
208237169
463_79499_3417(IDH1)_13a
0
—

chr2
208239070
208239233
463_79498_3417(IDH1)_12a
0
—

chr2
208239862
208240003
463_79497_3417(IDH1)_11a
0
—

chr2
208241993
208242145
463_79496_3417(IDH1)_10a
0
—

chr2
208243426
208243604
463_79495_3417(IDH1)_9a
0
—

chr2
208245318
208245424
463_79494_3417(IDH1)_8a
0
—

chr2
208248368
208248660
463_79493_3417(IDH1)_7a
0
—

chr2
208251429
208251551
463_79492_3417(IDH1)_6a
0
—

chr2
211383614
211384060
461_58800_2066(ERBB4)_29a
0
—

chr2
211386852
211387150
461_58799_2066(ERBB4)_28a
0
—

chr2
211387944
211387992
461_58798_2066(ERBB4)_27a
0
—

chr2
211420440
211420611
461_58797_2066(ERBB4)_26a
0
—

chr2
211422006
211422104
461_58796_2066(ERBB4)_25a
0
—

chr2
211424154
211424301
461_58795_2066(ERBB4)_24a
0
—

chr2
211428407
211428483
461_58794_2066(ERBB4)_23a
0
—

chr2
211430944
211431100
461_58793_2066(ERBB4)_22a
0
—

chr2
211561902
211562088
461_58792_2066(ERBB4)_21a
0
—

chr2
211619176
211619275
461_58791_2066(ERBB4)_20a
0
—

chr2
211623921
211624044
461_58790_2066(ERBB4)_19a
0
—

chr2
211630461
211630594
461_58789_2066(ERBB4)_18a
0
—

chr2
211657753
211657828
461_58788_2066(ERBB4)_17a
0
—

chr2
211657949
211657994
461_58787_2066(ERBB4)_16a
0
—

chr2
211665322
211665477
461_58786_2066(ERBB4)_15a
0
—

chr2
211673163
211673257
461_58785_2066(ERBB4)_14a
0
—

chr2
211679051
211679184
461_58784_2066(ERBB4)_13a
0
—

chr2
211701966
211702166
461_58783_2066(ERBB4)_12a
0
—

chr2
211704103
211704194
461_58782_2066(ERBB4)_11a
0
—

chr2
211705317
211705391
461_58781_2066(ERBB4)_10a
0
—

chr2
211712049
211712176
461_58780_2066(ERBB4)_9a
0
—

chr2
211713534
211713648
461_58779_2066(ERBB4)_8a
0
—

chr2
211722392
211722534
461_58778_2066(ERBB4)_7a
0
—

chr2
211725075
211725194
461_58777_2066(ERBB4)_6a
0
—

chr2
211750638
211750704
461_58776_2066(ERBB4)_5a
0
—

chr2
211788024
211788159
461_58775_2066(ERBB4)_4a
0
—

chr2
211947429
211947616
461_58774_2066(ERBB4)_3a
0
—

chr2
212124751
212124903
461_58773_2066(ERBB4)_2a
0
—

chr2
212538448
212538530
461_58772_2066(ERBB4)_1a
0
—

chr20
37384153
37384403
475_169917_6714(SRC)_5a
0
—

chr20
37386074
37386174
475_169918_6714(SRC)_6a
0
—

chr20
37393894
37393993
475_169919_6714(SRC)_7a
0
—

chr20
37394173
37394277
475_169920_6714(SRC)_8a
0
—

chr20
37396161
37396311
475_169921_6714(SRC)_9a
0
—

chr20
37397698
37397854
475_169922_6714(SRC)_10a
0
—

chr20
37400114
37400294
475_169923_6714(SRC)_11a
0
—

chr20
37401601
37401678
475_169924_6714(SRC)_12a
0
—

chr20
37402434
37402588
475_169925_6714(SRC)_13a
0
—

chr20
37402748
37402880
475_169926_6714(SRC)_14a
0
—

chr20
37403170
37403379
475_169927_6714(SRC)_15a
0
—

chr20
56370157
56370340
427_16080_6790(AURKA)_11a
0
—

chr20
56370484
56370659
427_16079_6790(AURKA)_10a
0
—

chr20
56373407
56373556
427_16078_6790(AURKA)_9a
0
—

chr20
56381432
56381571
427_16077_6790(AURKA)_8a
0
—

chr20
56382984
56383176
427_16076_6790(AURKA)_7a
0
—

chr20
56384269
56384324
427_16075_6790(AURKA)_6a
0
—

chr20
56386256
56386533
427_16074_6790(AURKA)_5a
0
—

chr20
56388155
56388197
427_16073_6790(AURKA)_4a
0
—

chr20
58840106
58840886
462_70269_2778(GNAS)_1
0
—

chr20
58841342
58841875
462_70270_2778(GNAS)_2
0
—

chr20
58852980
58855333
462_70271_2778(GNAS)_3
0
—

chr20
58889124
58889353
462_70272_2778(GNAS)_4
0
—

chr20
58891370
58891865
462_70273_2778(GNAS)_5
0
—

chr20
58892109
58892209
462_70274_2778(GNAS)_6
0
—

chr20
58895611
58895684
462_70275_2778(GNAS)_7
0
—

chr20
58898940
58898985
462_70276_2778(GNAS)_8
0
—

chr20
58903527
58903585
462_70277_2778(GNAS)_9
0
—

chr20
58903671
58903791
462_70278_2778(GNAS)_10
0
—

chr20
58905382
58905480
462_70279_2778(GNAS)_11
0
—

chr20
58909161
58909216
462_70280_2778(GNAS)_12
0
—

chr20
58909349
58909423
462_70281_2778(GNAS)_13
0
—

chr20
58909520
58909579
462_70282_2778(GNAS)_14
0
—

chr20
58909683
58909804
462_70283_2778(GNAS)_15
0
—

chr20
58909950
58910081
462_70284_2778(GNAS)_16
0
—

chr20
58910333
58910401
462_70285_2778(GNAS)_17
0
—

chr20
58910682
58910829
462_70286_2778(GNAS)_18
0
—

chr22
23787169
23787262
474_160328_6598(SMARCB1)_1
0
—

chr22
23791755
23791894
474_160329_6598(SMARCB1)_2
0
—

chr22
23793558
23793688
474_160330_6598(SMARCB1)_3
0
—

chr22
23800943
23801135
474_160331_6598(SMARCB1)_4
0
—

chr22
23803294
23803422
474_160332_6598(SMARCB1)_5
0
—

chr22
23816769
23816936
474_160333_6598(SMARCB1)_6
0
—

chr22
23825224
23825415
474_160334_6598(SMARCB1)_7
0
—

chr22
23833571
23833703
474_160335_6598(SMARCB1)_8
0
—

chr22
23834140
23834180
474_160336_6598(SMARCB1)_9
0
—

chr22
28883766
28884066
478_203540_84133(ZNRF3)_1
0
—

chr22
28917388
28917481
478_203541_84133(ZNRF3)_2
0
—

chr22
28986622
28986639
478_203542_84133(ZNRF3)_3
0
—

chr22
28987075
28987201
478_203543_84133(ZNRF3)_4
0
—

chr22
29031584
29031631
478_203544_84133(ZNRF3)_5
0
—

chr22
29042494
29042569
478_203545_84133(ZNRF3)_6
0
—

chr22
29043298
29043430
478_203546_84133(ZNRF3)_7
0
—

chr22
29044779
29044890
478_203547_84133(ZNRF3)_8
0
—

chr22
29046715
29046883
478_203548_84133(ZNRF3)_9
0
—

chr22
29048388
29048491
478_203549_84133(ZNRF3)_10
0
—

chr22
29049196
29050948
478_203550_84133(ZNRF3)_11
0
—

chr22
29053578
29053622
478_203551_84133(ZNRF3)_12
0
—

chr22
41093004
41093098
461_58342_2033(EP300)_1a
0
—

chr22
41117186
41117821
461_58343_2033(EP300)_2a
0
—

chr22
41125863
41126040
461_58344_2033(EP300)_3a
0
—

chr22
41127486
41127748
461_58345_2033(EP300)_4a
0
—

chr22
41129889
41130003
461_58346_2033(EP300)_5a
0
—

chr22
41131387
41131633
461_58347_2033(EP300)_6a
0
—

chr22
41135812
41135906
461_58348_2033(EP300)_7a
0
—

chr22
41137652
41137790
461_58349_2033(EP300)_8a
0
—

chr22
41140139
41140257
461_58350_2033(EP300)_9a
0
—

chr22
41141047
41141222
461_58351_2033(EP300)_10a
0
—

chr22
41146738
41146816
461_58352_2033(EP300)_11a
0
—

chr22
41147836
41147946
461_58353_2033(EP300)_12a
0
—

chr22
41149037
41149175
461_58354_2033(EP300)_13a
0
—

chr22
41149760
41150198
461_58355_2033(EP300)_14a
0
—

chr22
41151832
41152012
461_58356_2033(EP300)_15a
0
—

chr22
41152205
41152350
461_58357_2033(EP300)_16a
0
—

chr22
41154994
41155113
461_58358_2033(EP300)_17a
0
—

chr22
41157168
41157408
461_58359_2033(EP300)_18a
0
—

chr22
41158411
41158500
461_58360_2033(EP300)_19a
0
—

chr22
41160641
41160722
461_58361_2033(EP300)_20a
0
—

chr22
41162722
41162779
461_58362_2033(EP300)_21a
0
—

chr22
41164052
41164130
461_58363_2033(EP300)_22a
0
—

chr22
41166598
41166666
461_58364_2033(EP300)_23a
0
—

chr22
41168448
41168599
461_58365_2033(EP300)_24a
0
—

chr22
41168720
41168867
461_58366_2033(EP300)_25a
0
—

chr22
41169502
41169616
461_58367_2033(EP300)_26a
0
—

chr22
41170405
41170571
461_58368_2033(EP300)_27a
0
—

chr22
41172498
41172663
461_58369_2033(EP300)_28a
0
—

chr22
41173622
41173784
461_58370_2033(EP300)_29a
0
—

chr22
41176246
41176528
461_58371_2033(EP300)_30a
0
—

chr22
41176772
41178956
461_58372_2033(EP300)_31a
0
—

chr3
10141847
10142187
477_191808_7428(VHL)_1
0
—

chr3
10146513
10146636
477_191809_7428(VHL)_2
0
—

chr3
10149786
10150367
477_191810_7428(VHL)_3
0
—

chr3
36993547
36993663
466_106456_4292(MLH1)_1
0
—

chr3
36993768
36993890
466_106457_4292(MLH1)_2
0
—

chr3
36996618
36996709
466_106458_4292(MLH1)_3
0
—

chr3
36997155
36997300
466_106459_4292(MLH1)_4
0
—

chr3
37000954
37001053
466_106460_4292(MLH1)_5
0
—

chr3
37004400
37004474
466_106461_4292(MLH1)_6
0
—

chr3
37006990
37007063
466_106462_4292(MLH1)_7
0
—

chr3
37008813
37008905
466_106463_4292(MLH1)_8
0
—

chr3
37011819
37011862
466_106464_4292(MLH1)_9
0
—

chr3
37012010
37012099
466_106465_4292(MLH1)_10
0
—

chr3
37014431
37014544
466_106466_4292(MLH1)_11
0
—

chr3
37017505
37017599
466_106467_4292(MLH1)_12
0
—

chr3
37020309
37020463
466_106468_4292(MLH1)_13
0
—

chr3
37025636
37026007
466_106469_4292(MLH1)_14
0
—

chr3
37028783
37028932
466_106470_4292(MLH1)_15
0
—

chr3
37040185
37040294
466_106471_4292(MLH1)_16
0
—

chr3
37042267
37042331
466_106472_4292(MLH1)_17
0
—

chr3
37047518
37047683
466_106473_4292(MLH1)_18
0
—

chr3
37048516
37048609
466_106474_4292(MLH1)_19
0
—

chr3
37048903
37049017
466_106475_4292(MLH1)_20
0
—

chr3
37050485
37050653
466_106476_4292(MLH1)_21
0
—

chr3
41224068
41224081
429_36856_1499(CTNNB1)_7
0
—

chr3
41224525
41224753
429_36857_1499(CTNNB1)_8
0
—

chr3
41224953
41225207
429_36858_1499(CTNNB1)_9
0
—

chr3
41225333
41225572
429_36859_1499(CTNNB1)_10
0
—

chr3
41225659
41225861
429_36860_1499(CTNNB1)_11
0
—

chr3
41227207
41227352
429_36861_1499(CTNNB1)_12
0
—

chr3
41233340
41233444
429_36862_1499(CTNNB1)_13
0
—

chr3
41233528
41233867
429_36863_1499(CTNNB1)_14
0
—

chr3
41234138
41234297
429_36864_1499(CTNNB1)_15
0
—

chr3
41235723
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr3
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr4
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chr5
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chr5
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chr5
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chr5
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chr5
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chr5
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chr5
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chr5
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chr5
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—

chr5
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chr7
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chr7
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chr7
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—

chr7
140781575
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427_15640_673(BRAF)_11
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—

chr7
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427_15639_673(BRAF)_10
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—

chr7
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427_15638_673(BRAF)_9
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—

chr7
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—

chr7
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—

chr7
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427_15635_673(BRAF)_6
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—

chr7
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427_15634_673(BRAF)_5
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—

chr7
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427_15633_673(BRAF)_4
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—

chr7
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427_15632_673(BRAF)_3
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—

chr7
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427_15631_673(BRAF)_2
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chr7
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427_15630_673(BRAF)_1
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chr7
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chr7
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chr7
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461_59363_2146(EZH2)_20
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chr7
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chr7
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chr7
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461_59360_2146(EZH2)_17
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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—

chr7
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—

chr7
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464_95018_58508(KMT2C)_55
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—

chr7
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464_95017_58508(KMT2C)_54
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—

chr7
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464_95016_58508(KMT2C)_53
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—

chr7
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464_95015_58508(KMT2C)_52
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—

chr7
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464_95014_58508(KMT2C)_51
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—

chr7
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464_95013_58508(KMT2C)_50
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chr7
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464_95012_58508(KMT2C)_49
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chr7
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chr7
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chr7
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464_95009_58508(KMT2C)_46
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chr7
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464_95008_58508(KMT2C)_45
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—

chr7
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464_95007_58508(KMT2C)_44
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—

chr7
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464_95006_58508(KMT2C)_43
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—

chr7
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464_95005_58508(KMT2C)_42
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chr7
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464_95004_58508(KMT2C)_41
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chr7
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464_95003_58508(KMT2C)_40
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chr7
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464_95002_58508(KMT2C)_39
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chr7
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chr7
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464_95000_58508(KMT2C)_37
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—

chr7
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464_94999_58508(KMT2C)_36
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chr7
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464_94998_58508(KMT2C)_35
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chr7
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464_94997_58508(KMT2C)_34
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—

chr7
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464_94996_58508(KMT2C)_33
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—

chr7
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464_94995_58508(KMT2C)_32
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—

chr7
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464_94994_58508(KMT2C)_31
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chr7
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464_94993_58508(KMT2C)_30
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—

chr7
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464_94992_58508(KMT2C)_29
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—

chr7
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464_94991_58508(KMT2C)_28
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—

chr7
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464_94990_58508(KMT2C)_27
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—

chr7
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464_94989_58508(KMT2C)_26
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—

chr7
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464_94988_58508(KMT2C)_25
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—

chr7
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464_94987_58508(KMT2C)_24
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—

chr7
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464_94986_58508(KMT2C)_23
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—

chr7
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464_94985_58508(KMT2C)_22
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—

chr7
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464_94984_58508(KMT2C)_21
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—

chr7
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464_94983_58508(KMT2C)_20
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—

chr7
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464_94982_58508(KMT2C)_19
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—

chr7
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464_94981_58508(KMT2C)_18
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—

chr7
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464_94980_58508(KMT2C)_17
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—

chr7
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464_94979_58508(KMT2C)_16
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—

chr7
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464_94978_58508(KMT2C)_15
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—

chr7
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chr7
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—

chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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chr7
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464_94964_58508(KMT2C)_1
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—

chr8
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—

chr8
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461_60333_2260(FGFR1)_20a
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—

chr8
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chr8
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461_60331_2260(FGFR1)_18a
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—

chr8
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—

chr8
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chr8
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—

chr8
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461_60327_2260(FGFR1)_14a
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—

chr8
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461_60326_2260(FGFR1)_13a
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—

chr8
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461_60325_2260(FGFR1)_12a
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chr8
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461_60324_2260(FGFR1)_11a
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—

chr8
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461_60323_2260(FGFR1)_10a
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chr8
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461_60322_2260(FGFR1)_9a
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—

chr8
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461_60321_2260(FGFR1)_8a
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—

chr8
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461_60320_2260(FGFR1)_7a
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chr8
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461_60319_2260(FGFR1)_6a
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—

chr8
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461_60318_2260(FGFR1)_5a
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—

chr8
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461_60317_2260(FGFR1)_4a
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—

chr8
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461_60316_2260(FGFR1)_3a
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—

chr9
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chr9
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463_81563_3717(JAK2)_4
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chr9
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chr9
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chr9
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chr9
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chr9
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chr9
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chr9
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463_81653_3717(JAK2)_11
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—

chr9
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chr9
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—

chr9
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chr9
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—

chr9
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chr9
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463_81659_3717(JAK2)_17
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chr9
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463_81660_3717(JAK2)_18
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—

chr9
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463_81661_3717(JAK2)_19
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—

chr9
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463_81662_3717(JAK2)_20
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—

chr9
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463_81663_3717(JAK2)_21
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chr9
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463_81664_3717(JAK2)_22
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—

chr9
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463_81665_3717(JAK2)_23
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chr9
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463_81666_3717(JAK2)_24
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—

chr9
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463_81667_3717(JAK2)_25
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—

chr9
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428_25768_1029(CDKN2A)_7a
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—

chr9
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428_25767_1029(CDKN2A)_6a
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—

chr9
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428_25766_1029(CDKN2A)_5a
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—

chr9
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428_25765_1029(CDKN2A)_4a
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—

chr9
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428_25764_1029(CDKN2A)_3a
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—

chr9
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—

chr9
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428_25762_1029(CDKN2A)_1a
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—

chr9
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—

chr9
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chr9
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462_70179_2776(GNAQ)_5
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—

chr9
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462_70178_2776(GNAQ)_4
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—

chr9
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462_70177_2776(GNAQ)_3
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chr9
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462_70176_2776(GNAQ)_2
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chr9
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462_70175_2776(GNAQ)_1
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—

chr9
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chr9
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—

chr9
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—

chr9
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—

chr9
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463_79194_3309(HSPA5)_4
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chr9
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463_79193_3309(HSPA5)_3
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—

chr9
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463_79192_3309(HSPA5)_2
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—

chr9
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—

chr9
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—

chr9
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426_352_25(ABL1)_2
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—

chr9
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426_353_25(ABL1)_3
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—

chr9
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426_354_25(ABL1)_4
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—

chr9
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426_355_25(ABL1)_5
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—

chr9
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chr9
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—

chr9
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—

chr9
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426_359_25(ABL1)_9
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—

chr9
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426_360_25(ABL1)_10
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—

chr9
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—

chr9
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chr9
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476_182337_7248(TSC1)_24
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—

chr9
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476_182336_7248(TSC1)_23
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—

chr9
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476_182335_7248(TSC1)_22
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—

chr9
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476_182334_7248(TSC1)_21
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—

chr9
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476_182333_7248(TSC1)_20
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—

chr9
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476_182332_7248(TSC1)_19
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—

chr9
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476_182331_7248(TSC1)_18
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—

chr9
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476_182330_7248(TSC1)_17
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—

chr9
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476_182329_7248(TSC1)_16
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—

chr9
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476_182328_7248(TSC1)_15
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—

chr9
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476_182327_7248(TSC1)_14
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—

chr9
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476_182326_7248(TSC1)_13
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—

chr9
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476_182325_7248(TSC1)_12
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—

chr9
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476_182324_7248(TSC1)_11
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—

chr9
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476_182323_7248(TSC1)_10
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—

chr9
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476_182322_7248(TSC1)_9
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—

chr9
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476_182321_7248(TSC1)_8
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—

chr9
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476_182320_7248(TSC1)_7
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—

chr9
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476_182319_7248(TSC1)_6
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chr9
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476_182318_7248(TSC1)_5
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chr9
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476_182317_7248(TSC1)_4
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—

chr9
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469_119168_4851(NOTCH1)_34a
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—

chr9
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469_119167_4851(NOTCH1)_33a
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—

chr9
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469_119166_4851(NOTCH1)_32a
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—

chr9
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469_119165_4851(NOTCH1)_31a
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—

chr9
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469_119164_4851(NOTCH1)_30a
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—

chr9
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469_119163_4851(NOTCH1)_29a
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—

chr9
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469_119162_4851(NOTCH1)_28a
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—

chr9
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469_119161_4851(NOTCH1)_27a
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—

chr9
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469_119160_4851(NOTCH1)_26a
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—

chr9
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469_119159_4851(NOTCH1)_25a
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—

chr9
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469_119158_4851(NOTCH1)_24a
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—

chr9
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469_119157_4851(NOTCH1)_23a
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—

chr9
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469_119156_4851(NOTCH1)_22a
0
—

chr9
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469_119155_4851(NOTCH1)_21a
0
—

chr9
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469_119154_4851(NOTCH1)_20a
0
—

chr9
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469_119153_4851(NOTCH1)_19a
0
—

chr9
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469_119152_4851(NOTCH1)_18a
0
—

chr9
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469_119151_4851(NOTCH1)_17a
0
—

chr9
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469_119150_4851(NOTCH1)_16a
0
—

chr9
136513020
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469_119149_4851(NOTCH1)_15a
0
—

chr9
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469_119148_4851(NOTCH1)_14a
0
—

chr9
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469_119147_4851(NOTCH1)_13a
0
—

chr9
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469_119146_4851(NOTCH1)_12a
0
—

chr9
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469_119145_4851(NOTCH1)_11a
0
—

chr9
136515980
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469_119144_4851(NOTCH1)_10a
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—

chr9
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469_119143_4851(NOTCH1)_9a
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—

chr9
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469_119142_4851(NOTCH1)_8a
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—

chr9
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469_119141_4851(NOTCH1)_7a
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—

chr9
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469_119140_4851(NOTCH1)_6a
0
—

chr9
136519442
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469_119139_4851(NOTCH1)_5a
0
—

chr9
136522849
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469_119138_4851(NOTCH1)_4a
0
—

chr9
136523716
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469_119137_4851(NOTCH1)_3a
0
—

chr9
136544023
136544102
469_119136_4851(NOTCH1)_2a
0
—

chr9
136545725
136545786
469_119135_4851(NOTCH1)_1a
0
—

chrX
31121832
31121930
431_46921_1756(DMD)_85
0
—

chrX
31126641
31126673
431_46920_1756(DMD)_84
0
—

chrX
31134101
31134194
431_46919_1756(DMD)_83
0
—

chrX
31146290
31146414
431_46918_1756(DMD)_82
0
—

chrX
31147274
31147518
431_46917_1756(DMD)_81
0
—

chrX
31169442
31169601
431_46916_1756(DMD)_80
0
—

chrX
31172347
31172413
431_46915_1756(DMD)_79
0
—

chrX
31173538
31173604
431_46914_1756(DMD)_78
0
—

chrX
31177931
31177970
431_46913_1756(DMD)_77
0
—

chrX
31178194
31178805
431_46912_1756(DMD)_76
0
—

chrX
31180369
31180481
431_46911_1756(DMD)_75
0
—

chrX
31182737
31182904
431_46910_1756(DMD)_74
0
—

chrX
31203960
31204118
431_46909_1756(DMD)_73
0
—

chrX
31206581
31206667
431_46908_1756(DMD)_72
0
—

chrX
31209497
31209699
431_46907_1756(DMD)_71
0
—

chrX
31223046
31223121
431_46906_1756(DMD)_70
0
—

chrX
31260954
31261016
431_46905_1756(DMD)_69
0
—

chrX
31266809
31266907
431_46904_1756(DMD)_68
0
—

chrX
31323597
31323658
431_46903_1756(DMD)_67
0
—

chrX
31348555
31348634
431_46902_1756(DMD)_66
0
—

chrX
31444480
31444627
431_46901_1756(DMD)_65
0
—

chrX
31478105
31478374
431_46900_1756(DMD)_64
0
—

chrX
31478982
31479103
431_46899_1756(DMD)_63
0
—

chrX
31496787
31496944
431_46898_1756(DMD)_62
0
—

chrX
31507280
31507453
431_46897_1756(DMD)_61
0
—

chrX
31508207
31508298
431_46896_1756(DMD)_60
0
—

chrX
31627672
31627862
431_46895_1756(DMD)_59
0
—

chrX
31657989
31658144
431_46894_1756(DMD)_58
0
—

chrX
31679374
31679586
431_46893_1756(DMD)_57
0
—

chrX
31729630
31729748
431_46892_1756(DMD)_56
0
—

chrX
31773959
31774192
431_46891_1756(DMD)_55
0
—

chrX
31819974
31820083
431_46890_1756(DMD)_54
0
—

chrX
31836717
31836819
431_46889_1756(DMD)_53
0
—

chrX
31875187
31875373
431_46888_1756(DMD)_52
0
—

chrX
31929595
31929745
431_46887_1756(DMD)_51
0
—

chrX
31932079
31932227
431_46886_1756(DMD)_50
0
—

chrX
31968338
31968514
431_46885_1756(DMD)_49
0
—

chrX
32155370
32155469
431_46884_1756(DMD)_48
0
—

chrX
32216915
32217063
431_46883_1756(DMD)_47
0
—

chrX
32287528
32287701
431_46882_1756(DMD)_46
0
—

chrX
32310081
32310276
431_46881_1756(DMD)_45
0
—

chrX
32342099
32342282
431_46880_1756(DMD)_44
0
—

chrX
32343133
32343286
431_46879_1756(DMD)_43
0
—

chrX
32345942
32346080
431_46878_1756(DMD)_42
0
—

chrX
32348405
32348528
431_46877_1756(DMD)_41
0
—

chrX
32362787
32362958
431_46876_1756(DMD)_40
0
—

chrX
32364581
32364710
431_46875_1756(DMD)_39
0
—

chrX
32365019
32365199
431_46874_1756(DMD)_38
0
—

chrX
32380509
32380680
431_46873_1756(DMD)_37
0
—

chrX
32386309
32386465
431_46872_1756(DMD)_36
0
—

chrX
32389500
32389674
431_46871_1756(DMD)_35
0
—

chrX
32390070
32390181
431_46870_1756(DMD)_34
0
—

chrX
32411751
32411913
431_46869_1756(DMD)_33
0
—

chrX
32412018
32412254
431_46868_1756(DMD)_32
0
—

chrX
32438240
32438390
431_46867_1756(DMD)_31
0
—

chrX
32441179
32441314
431_46866_1756(DMD)_30
0
—

chrX
32448455
32448638
431_46865_1756(DMD)_29
0
—

chrX
32454661
32454832
431_46864_1756(DMD)_28
0
—

chrX
32463438
32463594
431_46863_1756(DMD)_27
0
—

chrX
32464585
32464699
431_46862_1756(DMD)_26
0
—

chrX
32468497
32468710
431_46861_1756(DMD)_25
0
—

chrX
32472163
32472309
431_46860_1756(DMD)_24
0
—

chrX
32484918
32485099
431_46859_1756(DMD)_23
0
—

chrX
32491276
32491518
431_46858_1756(DMD)_22
0
—

chrX
32501754
32501842
431_46857_1756(DMD)_21
0
—

chrX
32518007
32518131
431_46856_1756(DMD)_20
0
—

chrX
32545158
32545334
431_46855_1756(DMD)_19
0
—

chrX
32565701
32565881
431_46854_1756(DMD)_18
0
—

chrX
32573529
32573637
431_46853_1756(DMD)_17
0
—

chrX
32573744
32573846
431_46852_1756(DMD)_16
0
—

chrX
32595756
32595876
431_46851_1756(DMD)_15
0
—

chrX
32614302
32614453
431_46850_1756(DMD)_14
0
—

chrX
32644131
32644313
431_46849_1756(DMD)_13
0
—

chrX
32644963
32645152
431_46848_1756(DMD)_12
0
—

chrX
32697869
32697998
431_46847_1756(DMD)_11
0
—

chrX
32699111
32699293
431_46846_1756(DMD)_10
0
—

chrX
32809492
32809611
431_46845_1756(DMD)_9
0
—

chrX
32816467
32816640
431_46844_1756(DMD)_8
0
—

chrX
32823294
32823387
431_46843_1756(DMD)_7
0
—

chrX
32844782
32844860
431_46842_1756(DMD)_6
0
—

chrX
32849727
32849820
431_46841_1756(DMD)_5
0
—

chrX
33020138
33020200
431_46840_1756(DMD)_4
0
—

chrX
33128062
33128428
431_46839_1756(DMD)_3
0
—

chrX
33211281
33211556
431_46838_1756(DMD)_2
0
—

chrX
33339258
33339265
431_46837_1756(DMD)_1
0
—

chrX
47145446
47145516
472_141747_8241(RBM10)_1
0
—

chrX
47147356
47147498
472_141748_8241(RBM10)_2
0
—

chrX
47169314
47169498
472_141749_8241(RBM10)_3
0
—

chrX
47171027
47171258
472_141750_8241(RBM10)_4
0
—

chrX
47173127
47173197
472_141751_8241(RBM10)_5
0
—

chrX
47175018
47175092
472_141752_8241(RBM10)_6
0
—

chrX
47176499
47176586
472_141753_8241(RBM10)_7
0
—

chrX
47179102
47179163
472_141754_8241(RBM10)_8
0
—

chrX
47179318
47179495
472_141755_8241(RBM10)_9
0
—

chrX
47179879
47180040
472_141756_8241(RBM10)_10
0
—

chrX
47180211
47180309
472_141757_8241(RBM10)_11
0
—

chrX
47180418
47180506
472_141758_8241(RBM10)_12
0
—

chrX
47181214
47181401
472_141759_8241(RBM10)_13
0
—

chrX
47181506
47181646
472_141760_8241(RBM10)_14
0
—

chrX
47181748
47181866
472_141761_8241(RBM10)_15
0
—

chrX
47181950
47182042
472_141762_8241(RBM10)_16
0
—

chrX
47182161
47182326
472_141763_8241(RBM10)_17
0
—

chrX
47185054
47185204
472_141764_8241(RBM10)_18
0
—

chrX
47185301
47185367
472_141765_8241(RBM10)_19
0
—

chrX
47185441
47185630
472_141766_8241(RBM10)_20
0
—

chrX
47185715
47185790
472_141767_8241(RBM10)_21
0
—

chrX
47186064
47186171
472_141768_8241(RBM10)_22
0
—

chrX
47186257
47186387
472_141769_8241(RBM10)_23
0
—

chrX
47186473
47186599
472_141770_8241(RBM10)_24
0
—

Supplementary Data 2

chr9
136496070
136497558
469_119168_4851(NOTCH1)_34a
0
—

chr9
136499111
136499259
469_119166_4851(NOTCH1)_32a
0
—

chr9
136500551
136500847
469_119165_4851(NOTCH1)_31a
0
—

chr9
136501747
136501913
469_119164_4851(NOTCH1)_30a
0
—

chr9
136502000
136502088
469_119163_4851(NOTCH1)_29a
0
—

chr9
136502271
136502488
469_119162_4851(NOTCH1)_28a
0
—

chr9
136503181
136503330
469_119161_4851(NOTCH1)_27a
0
—

chr9
136504672
136505104
469_119160_4851(NOTCH1)_26a
0
—

chr9
136506526
136506639
469_119158_4851(NOTCH1)_24a
0
—

chr9
136506715
136506973
469_119157_4851(NOTCH1)_23a
0
—

chr9
136507304
136507437
469_119156_4851(NOTCH1)_22a
0
—

chr9
136507954
136508139
469_119155_4851(NOTCH1)_21a
0
—

chr9
136508231
136508385
469_119154_4851(NOTCH1)_20a
0
—

chr9
136508869
136509071
469_119153_4851(NOTCH1)_19a
0
—

chr9
136509732
136509961
469_119152_4851(NOTCH1)_18a
0
—

chr9
136511151
136511271
469_119150_4851(NOTCH1)_16a
0
—

chr9
136513020
136513134
469_119149_4851(NOTCH1)_15a
0
—

chr9
136513391
136513537
469_119148_4851(NOTCH1)_14a
0
—

chr9
136514509
136514702
469_119147_4851(NOTCH1)_13a
0
—

chr9
136515289
136515400
469_119146_4851(NOTCH1)_12a
0
—

chr9
136515482
136515716
469_119145_4851(NOTCH1)_11a
0
—

chr9
136515980
136516094
469_119144_4851(NOTCH1)_10a
0
—

chr9
136517751
136517937
469_119142_4851(NOTCH1)_8a
0
—

chr9
136518136
136518292
469_119141_4851(NOTCH1)_7a
0
—

chr9
136518590
136518824
469_119140_4851(NOTCH1)_6a
0
—

chr9
136519442
136519565
469_119139_4851(NOTCH1)_5a
0
—

chr9
136522849
136523188
469_119138_4851(NOTCH1)_4a
0
—

chr9
136523716
136523979
469_119137_4851(NOTCH1)_3a
0
—

chr9
136544023
136544102
469_119136_4851(NOTCH1)_2a
0
—

chr6
32195436
32196421
469_119235_4855(NOTCH4)_29
0
—

chr6
32197298
32197594
469_119233_4855(NOTCH4)_27
0
—

chr6
32198420
32198559
469_119232_4855(NOTCH4)_26
0
—

chr6
32198648
32198730
469_119231_4855(NOTCH4)_25
0
—

chr6
32198925
32199145
469_119230_4855(NOTCH4)_24
0
—

chr6
32200830
32201006
469_119229_4855(NOTCH4)_23
0
—

chr6
32201116
32201500
469_119228_4855(NOTCH4)_22
0
—

chr6
32202075
32202599
469_119227_4855(NOTCH4)_21
0
—

chr6
32204136
32204389
469_119225_4855(NOTCH4)_19
0
—

chr6
32210751
32210936
469_119224_4855(NOTCH4)_18
0
—

chr6
32212473
32212627
469_119223_4855(NOTCH4)_17
0
—

chr6
32212823
32212911
469_119222_4855(NOTCH4)_16
0
—

chr6
32213134
32213252
469_119221_4855(NOTCH4)_15
0
—

chr6
32213687
32213840
469_119220_4855(NOTCH4)_14
0
—

chr6
32214109
32214255
469_119219_4855(NOTCH4)_13
0
—

chr6
32216944
32217067
469_119217_4855(NOTCH4)_11
0
—

chr6
32217152
32217266
469_119216_4855(NOTCH4)_10
0
—

chr6
32217994
32218108
469_119215_4855(NOTCH4)_9
0
—

chr6
32219591
32219786
469_119214_4855(NOTCH4)_8
0
—

chr6
32220128
32220284
469_119213_4855(NOTCH4)_7
0
—

chr6
32220404
32220641
469_119212_4855(NOTCH4)_6
0
—

chr6
32220755
32220878
469_119211_4855(NOTCH4)_5
0
—

chr6
32222510
32222806
469_119209_4855(NOTCH4)_3
0
—

chr6
32223004
32223086
469_119208_4855(NOTCH4)_2
0
—

chr6
32223855
32223928
469_119207_4855(NOTCH4)_1
0
—

chr5
171410526
171410565
469_119426_4869(NPM1)_12
0
—

chr5
171407699
171407774
469_119425_4869(NPM1)_11
0
—

chr5
171406396
171406734
469_119424_4869(NPM1)_10
0
—

chr5
171405301
171405403
469_119423_4869(NPM1)_9
0
—

chr5
171400838
171400925
469_119422_4869(NPM1)_8
0
—

chr5
171392913
171392978
469_119420_4869(NPM1)_6
0
—

chr5
171392709
171392816
469_119419_4869(NPM1)_5
0
—

chr5
171391705
171391799
469_119418_4869(NPM1)_4
0
—

chr5
171391304
171391424
469_119417_4869(NPM1)_3
0
—

chr5
171390050
171390130
469_119416_4869(NPM1)_2
0
—

chr5
171387948
171388006
469_119415_4869(NPM1)_1
0
—

chr1
114708534
114708654
469_119576_4893(NRAS)_5
0
—

chr1
114709568
114709728
469_119575_4893(NRAS)_4
0
—

chr1
114713799
114713978
469_119574_4893(NRAS)_3
0
—

chr1
114716049
114716160
469_119573_4893(NRAS)_2
0
—

chr17
7669608
7669690
476_181712_7157(TP53)_11
0
—

chr17
7670608
7670715
476_181711_7157(TP53)_10
0
—

chr17
7673206
7673339
476_181710_7157(TP53)_9
0
—

chr17
7673700
7673837
476_181708_7157(TP53)_7
0
—

chr17
7674180
7674290
476_181707_7157(TP53)_6
0
—

chr17
7674858
7674971
476_181706_7157(TP53)_5
0
—

chr17
7675052
7675493
476_181705_7157(TP53)_4
0
—

chr17
7675993
7676272
476_181704_7157(TP53)_3
0
—

chr17
7676381
7676594
476_181703_7157(TP53)_2
0
—

chr17
31349119
31349251
469_118622_4763(NF1)_49a
0
—

chr17
31343008
31343135
469_118621_4763(NF1)_48a
0
—

chr17
31340504
31340645
469_118620_4763(NF1)_47a
0
—

chr17
31338024
31338139
469_118618_4763(NF1)_45a
0
—

chr17
31337818
31337880
469_118617_4763(NF1)_44a
0
—

chr17
31337367
31337582
469_118616_4763(NF1)_43a
0
—

chr17
31336634
31336914
469_118615_4763(NF1)_42a
0
—

chr17
31336332
31336473
469_118614_4763(NF1)_41a
0
—

chr17
31334837
31335031
469_118613_4763(NF1)_40a
0
—

chr17
31327498
31327839
469_118611_4763(NF1)_38a
0
—

chr17
31325819
31326252
469_118610_4763(NF1)_37a
0
—

chr17
31265228
31265339
469_118609_4763(NF1)_36a
0
—

chr17
31261710
31261857
469_118608_4763(NF1)_35a
0
—

chr17
31260368
31260515
469_118607_4763(NF1)_34a
0
—

chr17
31259031
31259129
469_118606_4763(NF1)_33a
0
—

chr17
31258343
31258502
469_118605_4763(NF1)_32a
0
—

chr17
31248983
31249119
469_118603_4763(NF1)_30a
0
—

chr17
31235917
31236021
469_118602_4763(NF1)_29a
0
—

chr17
31235610
31235772
469_118601_4763(NF1)_28a
0
—

chr17
31233001
31233213
469_118600_4763(NF1)_27a
0
—

chr17
31232699
31232881
469_118599_4763(NF1)_26a
0
—

chr17
31232072
31232189
469_118598_4763(NF1)_25a
0
—

chr17
31230259
31230382
469_118596_4763(NF1)_23a
0
—

chr17
31229834
31229974
469_118595_4763(NF1)_22a
0
—

chr17
31229024
31229465
469_118594_4763(NF1)_21a
0
—

chr17
31227522
31227606
469_118593_4763(NF1)_20a
0
—

chr17
31227217
31227291
469_118592_4763(NF1)_19a
0
—

chr17
31226434
31226684
469_118591_4763(NF1)_18a
0
—

chr17
31223443
31223567
469_118589_4763(NF1)_16a
0
—

chr17
31221849
31222764
469_118588_4763(NF1)_15a
0
—

chr17
31219004
31219118
469_118587_4763(NF1)_14a
0
—

chr17
31214450
31214585
469_118586_4763(NF1)_13a
0
—

chr17
31206239
31206371
469_118585_4763(NF1)_12a
0
—

chr17
31201410
31201485
469_118584_4763(NF1)_11a
0
—

chr17
31200421
31200595
469_118582_4763(NF1)_9a
0
—

chr17
31182507
31182665
469_118581_4763(NF1)_8a
0
—

chr17
31181709
31181785
469_118580_4763(NF1)_7a
0
—

chr17
31181421
31181489
469_118579_4763(NF1)_6a
0
—

chr17
31169890
31169997
469_118578_4763(NF1)_5a
0
—

chr17
31163185
31163376
469_118577_4763(NF1)_4a
0
—

chr17
31155982
31156126
469_118575_4763(NF1)_2a
0
—

chr17
31095309
31095369
469_118574_4763(NF1)_1a
0
—

chr17
31367224
31367278
469_118632_4763(NF1)_59a
0
—

chr17
31362287
31362364
469_118631_4763(NF1)_58a
0
—

chr17
31360486
31360703
469_118630_4763(NF1)_57a
0
—

chr17
31358968
31359015
469_118629_4763(NF1)_56a
0
—

chr17
31358479
31358622
469_118628_4763(NF1)_55a
0
—

chr17
31357268
31357369
469_118627_4763(NF1)_54a
0
—

chr9
136498898
136498996
469_119167_4851(NOTCH1)_33a
0
—

chr9
136505309
136505881
469_119159_4851(NOTCH1)_25a
0
—

chr9
136510652
136510805
469_119151_4851(NOTCH1)_17a
0
—

chr9
136517271
136517385
469_119143_4851(NOTCH1)_9a
0
—

chr9
136545725
136545786
469_119135_4851(NOTCH1)_1a
0
—

chr6
32196924
32197072
469_119234_4855(NOTCH4)_28
0
—

chr6
32203769
32203882
469_119226_4855(NOTCH4)_20
0
—

chr6
32215225
32215385
469_119218_4855(NOTCH4)_12
0
—

chr6
32220977
32221325
469_119210_4855(NOTCH4)_4
0
—

chr3
179234093
179234364
470_127823_5290(PIK3CA)_21
0
—

chr3
179230003
179230121
470_127821_5290(PIK3CA)_19
0
—

chr3
179229271
179229442
470_127820_5290(PIK3CA)_18
0
—

chr3
179225961
179226040
470_127819_5290(PIK3CA)_17
0
—

chr3
179224699
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470_127818_5290(PIK3CA)_16
0
—

chr3
179224080
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470_127817_5290(PIK3CA)_15
0
—

chr3
179220985
179221157
470_127816_5290(PIK3CA)_14
0
—

chr3
179219570
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470_127814_5290(PIK3CA)_12
0
—

chr3
179219195
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470_127813_5290(PIK3CA)_11
0
—

chr3
179218209
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470_127812_5290(PIK3CA)_10
0
—

chr3
179210430
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470_127811_5290(PIK3CA)_9
0
—

chr3
179210185
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470_127810_5290(PIK3CA)_8
0
—

chr3
179209594
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470_127809_5290(PIK3CA)_7
0
—

chr3
179204502
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470_127808_5290(PIK3CA)_6
0
—

chr3
179201289
179201540
470_127806_5290(PIK3CA)_4
0
—

chr3
179199689
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470_127805_5290(PIK3CA)_3
0
—

chr3
179198825
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470_127804_5290(PIK3CA)_2
0
—

chr3
179230224
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470_127822_5290(PIK3CA)_20
0
—

chr3
179219948
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470_127815_5290(PIK3CA)_13
0
—

chr3
179203543
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470_127807_5290(PIK3CA)_5
0
—

chr5
68297411
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470_127791_5295(PIK3R1)_19
0
—

chr5
68296170
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470_127790_5295(PIK3R1)_18
0
—

chr5
68295419
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470_127789_5295(PIK3R1)_17
0
—

chr5
68295147
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470_127788_5295(PIK3R1)_16
0
—

chr5
68293708
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470_127786_5295(PIK3R1)_14
0
—

chr5
68293302
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470_127785_5295(PIK3R1)_13
0
—

chr5
68293100
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470_127784_5295(PIK3R1)_12
0
—

chr5
68292567
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470_127783_5295(PIK3R1)_11
0
—

chr5
68292258
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470_127782_5295(PIK3R1)_10
0
—

chr5
68290638
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470_127781_5295(PIK3R1)_9
0
—

chr5
68280926
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470_127779_5295(PIK3R1)_7
0
—

chr5
68280527
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470_127778_5295(PIK3R1)_6
0
—

chr5
68279601
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470_127777_5295(PIK3R1)_5
0
—

chr5
68273938
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470_127776_5295(PIK3R1)_4
0
—

chr5
68273389
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470_127775_5295(PIK3R1)_3
0
—

chr5
68226675
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470_127774_5295(PIK3R1)_2
0
—

chr5
68294535
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470_127787_5295(PIK3R1)_15
0
—

chr5
68288423
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470_127780_5295(PIK3R1)_8
0
—

chr10
43124882
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473_148936_5979(RET)_18a
0
—

chr10
43114479
43114736
473_148929_5979(RET)_11a
0
—

chr10
43104951
43105193
473_148922_5979(RET)_4a
0
—

chr17
58363525
58363600
473_154856_54894(RNF43)_4
0
—

chr17
7673534
7673608
476_181709_7157(TP53)_8
0
—

chr9
132896234
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476_182337_7248(TSC1)_24
0
—

chr9
132897183
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476_182336_7248(TSC1)_23
0
—

chr9
132897422
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476_182335_7248(TSC1)_22
0
—

chr9
132900714
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476_182334_7248(TSC1)_21
0
—

chr9
132901588
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476_182333_7248(TSC1)_20
0
—

chr9
132902604
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476_182332_7248(TSC1)_19
0
—

chr9
132903650
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476_182331_7248(TSC1)_18
0
—

chr9
132905580
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476_182329_7248(TSC1)_16
0
—

chr9
132906730
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476_182328_7248(TSC1)_15
0
—

chr9
132907300
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476_182327_7248(TSC1)_14
0
—

chr9
132910570
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476_182326_7248(TSC1)_13
0
—

chr9
132911001
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476_182325_7248(TSC1)_12
0
—

chr9
132911452
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476_182324_7248(TSC1)_11
0
—

chr9
132912281
132912457
476_182323_7248(TSC1)_10
0
—

chr9
132921818
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476_182321_7248(TSC1)_8
0
—

chr9
132923347
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476_182320_7248(TSC1)_7
0
—

chr9
132925586
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476_182319_7248(TSC1)_6
0
—

chr9
132927200
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476_182318_7248(TSC1)_5
0
—

chr9
132928766
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476_182317_7248(TSC1)_4
0
—

chr9
132921362
132921436
476_182322_7248(TSC1)_9
0
—

chr9
132904410
132904454
476_182330_7248(TSC1)_17
0
—

chr16
2058746
2058873
476_182347_7249(TSC2)_10
0
—

chr16
2057104
2057178
476_182346_7249(TSC2)_9
0
—

chr16
2056195
2056244
476_182344_7249(TSC2)_7
0
—

chr16
2055401
2055519
476_182343_7249(TSC2)_6
0
—

chr16
2054295
2054440
476_182342_7249(TSC2)_5
0
—

chr16
2053341
2053452
476_182341_7249(TSC2)_4
0
—

chr16
2050399
2050486
476_182340_7249(TSC2)_3
0
—

chr16
2048586
2048753
476_182339_7249(TSC2)_2
0
—

chr16
2086192
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476_182374_7249(TSC2)_37
0
—

chr16
2080164
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476_182367_7249(TSC2)_30
0
—

chr16
2075798
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476_182360_7249(TSC2)_23
0
—

chr16
2065518
2065635
476_182353_7249(TSC2)_16
0
—

chr16
2056643
2056769
476_182345_7249(TSC2)_8
0
—

chr16
2047821
2048065
476_182338_7249(TSC2)_1
0
—

chr3
37050485
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466_106476_4292(MLH1)_21
0
—

chr3
37048516
37048609
466_106474_4292(MLH1)_19
0
—

chr3
37047518
37047683
466_106473_4292(MLH1)_18
0
—

chr3
37042267
37042331
466_106472_4292(MLH1)_17
0
—

chr3
37040185
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466_106471_4292(MLH1)_16
0
—

chr3
37028783
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466_106470_4292(MLH1)_15
0
—

chr3
37025636
37026007
466_106469_4292(MLH1)_14
0
—

chr3
37020309
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466_106468_4292(MLH1)_13
0
—

chr3
37014431
37014544
466_106466_4292(MLH1)_11
0
—

chr3
37012010
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466_106465_4292(MLH1)_10
0
—

chr3
37011819
37011862
466_106464_4292(MLH1)_9
0
—

chr17
31374012
31374155
469_118633_4763(NF1)_60a
0
—

chr17
31356959
31357090
469_118626_4763(NF1)_53a
0
—

chr17
31338703
31338805
469_118619_4763(NF1)_46a
0
—

chr17
31330295
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469_118612_4763(NF1)_39a
0
—

chr17
31252937
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469_118604_4763(NF1)_31a
0
—

chr17
31230841
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469_118597_4763(NF1)_24a
0
—

chr17
31225094
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469_118590_4763(NF1)_17a
0
—

chr17
31201036
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469_118583_4763(NF1)_10a
0
—

chr17
31159009
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469_118576_4763(NF1)_3a
0
—

chr7
116695756
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466_106278_4233(MET)_2a
0
—

chr7
116699070
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466_106279_4233(MET)_3a
0
—

chr7
116724099
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466_106280_4233(MET)_4a
0
—

chr7
116724771
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466_106281_4233(MET)_5a
0
—

chr7
116731667
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466_106282_4233(MET)_6a
0
—

chr7
116739949
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466_106283_4233(MET)_7a
0
—

chr7
116755354
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466_106285_4233(MET)_9a
0
—

chr7
116757436
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466_106286_4233(MET)_10a
0
—

chr7
116757637
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466_106287_4233(MET)_11a
0
—

chr7
116758458
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466_106288_4233(MET)_12a
0
—

chr7
116759336
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466_106289_4233(MET)_13a
0
—

chr7
116763049
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466_106290_4233(MET)_14a
0
—

chr7
116771497
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466_106292_4233(MET)_16a
0
—

chr7
116771848
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466_106293_4233(MET)_17a
0
—

chr7
116774880
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466_106294_4233(MET)_18a
0
—

chr7
116777388
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466_106295_4233(MET)_19a
0
—

chr7
116778775
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466_106296_4233(MET)_20a
0
—

chr7
116781987
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466_106297_4233(MET)_21a
0
—

chr7
116783303
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466_106298_4233(MET)_22a
0
—

chr7
116795886
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466_106300_4233(MET)_24a
0
—

chr1
204525327
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466_106137_4194(MDM4)_2a
0
—

chr1
204542783
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466_106144_4194(MDM4)_9a
0
—

chr1
204525483
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466_106138_4194(MDM4)_3a
0
—

chr1
204526359
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466_106139_4194(MDM4)_4a
0
—

chr1
204530683
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466_106140_4194(MDM4)_5a
0
—

chr1
204532190
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466_106141_4194(MDM4)_6a
0
—

chr1
204537429
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466_106142_4194(MDM4)_7a
0
—

chr1
204538208
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466_106143_4194(MDM4)_8a
0
—

chr1
204544534
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466_106145_4194(MDM4)_10a
0
—

chr1
204546796
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466_106146_4194(MDM4)_11a
0
—

chr1
204549112
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466_106147_4194(MDM4)_12a
0
—

chr12
68808949
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466_106044_4193(MDM2)_2
0
—

chr12
68828770
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466_106051_4193(MDM2)_9
0
—

chr12
68808477
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466_106043_4193(MDM2)_1
0
—

chr12
68809207
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466_106045_4193(MDM2)_3
0
—

chr12
68813553
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466_106046_4193(MDM2)_4
0
—

chr12
68816811
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466_106047_4193(MDM2)_5
0
—

chr12
68820324
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466_106048_4193(MDM2)_6
0
—

chr12
68824362
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466_106049_4193(MDM2)_7
0
—

chr12
68824554
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466_106050_4193(MDM2)_8
0
—

chr12
68835828
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466_106052_4193(MDM2)_10
0
—

chr12
68836671
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466_106053_4193(MDM2)_11
0
—

chr12
68839273
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466_106054_4193(MDM2)_12
0
—

chr4
55125226
55125293
464_88696_3791(KDR)_1a
0
—

chr4
55110402
55110566
464_88704_3791(KDR)_9a
0
—

chr4
55098136
55098272
464_88712_3791(KDR)_17a
0
—

chr4
55089373
55089473
464_88720_3791(KDR)_25a
0
—

chr5
171400152
171400210
469_119421_4869(NPM1)_7
0
—

chr4
54285840
54285963
470_126855_5156(PDGFRA)_20a
0
—

chr4
54285370
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470_126854_5156(PDGFRA)_19a
0
—

chr4
54280315
54280482
470_126852_5156(PDGFRA)_17a
0
—

chr4
54278361
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470_126851_5156(PDGFRA)_16a
0
—

chr4
54277895
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470_126850_5156(PDGFRA)_15a
0
—

chr4
54277387
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470_126849_5156(PDGFRA)_14a
0
—

chr4
54274840
54274973
470_126848_5156(PDGFRA)_13a
0
—

chr4
54274530
54274625
470_126847_5156(PDGFRA)_12a
0
—

chr4
54273536
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470_126846_5156(PDGFRA)_11a
0
—

chr4
54270632
54270748
470_126844_5156(PDGFRA)_9a
0
—

chr4
54267551
54267741
470_126843_5156(PDGFRA)_8a
0
—

chr4
54267288
54267460
470_126842_5156(PDGFRA)_7a
0
—

chr4
54264918
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470_126841_5156(PDGFRA)_6a
0
—

chr4
54263666
54263927
470_126840_5156(PDGFRA)_5a
0
—

chr4
54261094
54261412
470_126839_5156(PDGFRA)_4a
0
—

chr4
54295124
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470_126860_5156(PDGFRA)_25a
0
—

chr4
54289008
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470_126858_5156(PDGFRA)_23a
0
—

chr4
54288798
54288898
470_126857_5156(PDGFRA)_22a
0
—

chr4
54287429
54287541
470_126856_5156(PDGFRA)_21a
0
—

chr4
54290312
54290554
470_126859_5156(PDGFRA)_24a
0
—

chr4
54281580
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470_126853_5156(PDGFRA)_18a
0
—

chr4
54272393
54272520
470_126845_5156(PDGFRA)_10a
0
—

chr4
54258768
54258817
470_126838_5156(PDGFRA)_3a
0
—

chr7
129210964
129211113
474_160573_6608(SMO)_10a
0
—

chr7
129205202
129205412
474_160566_6608(SMO)_3a
0
—

chr3
10149786
10150367
477_191810_7428(VHL)_3
0
—

chr3
10146513
10146636
477_191809_7428(VHL)_2
0
—

chr3
10141847
10142187
477_191808_7428(VHL)_1
0
—

chr7
116769644
116769791
466_106291_4233(MET)_15a
0
—

chr7
116740851
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466_106284_4233(MET)_8a
0
—

chr3
37008813
37008905
466_106463_4292(MLH1)_8
0
—

chr3
37006990
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466_106462_4292(MLH1)_7
0
—

chr3
37004400
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466_106461_4292(MLH1)_6
0
—

chr3
36997155
36997300
466_106459_4292(MLH1)_4
0
—

chr3
36996618
36996709
466_106458_4292(MLH1)_3
0
—

chr3
36993768
36993890
466_106457_4292(MLH1)_2
0
—

chr3
36993547
36993663
466_106456_4292(MLH1)_1
0
—

chr3
37048903
37049017
466_106475_4292(MLH1)_20
0
—

chr3
37017505
37017599
466_106467_4292(MLH1)_12
0
—

chr3
37000954
37001053
466_106460_4292(MLH1)_5
0
—

chr1
43352517
43352772
466_106809_4352(MPL)_12a
0
—

chr1
43352215
43352303
466_106808_4352(MPL)_11a
0
—

chr1
43348842
43349002
466_106806_4352(MPL)_9a
0
—

chr1
43346791
43346934
466_106805_4352(MPL)_8a
0
—

chr1
43346444
43346629
466_106804_4352(MPL)_7a
0
—

chr1
43340386
43340513
466_106803_4352(MPL)_6a
0
—

chr1
43339963
43340126
466_106802_4352(MPL)_5a
0
—

chr1
43339270
43339569
466_106801_4352(MPL)_4a
0
—

chr1
43338098
43338231
466_106799_4352(MPL)_2a
0
—

chr1
43337848
43337927
466_106798_4352(MPL)_1a
0
—

chr1
43349262
43349359
466_106807_4352(MPL)_10a
0
—

chr1
43338541
43338720
466_106800_4352(MPL)_3a
0
—

chr9
5029782
5029906
463_81563_3717(JAK2)_4
0
—

chr9
5054562
5054884
463_81649_3717(JAK2)_7
0
—

chr9
5073697
5073785
463_81656_3717(JAK2)_14
0
—

chr9
5090738
5090911
463_81664_3717(JAK2)_22
0
—

chr9
5021987
5022213
463_81562_3717(JAK2)_3
0
—

chr9
5044402
5044520
463_81564_3717(JAK2)_5
0
—

chr1
64883276
64883475
463_81625_3716(JAK1)_4a
0
—

chr1
64855508
64855698
463_81633_3716(JAK1)_12a
0
—

chr1
64841450
64841601
463_81640_3716(JAK1)_19a
0
—

chr1
64844063
64844215
463_81639_3716(JAK1)_18a
0
—

chr1
64841244
64841339
463_81641_3716(JAK1)_20a
0
—

chr7
116795654
116795791
466_106299_4233(MET)_23a
0
—

chr1
64839602
64839795
463_81642_3716(JAK1)_21a
0
—

chr4
55115280
55115411
464_88699_3791(KDR)_4a
0
—

chr4
55114873
55115042
464_88700_3791(KDR)_5a
0
—

chr4
55114125
55114265
464_88701_3791(KDR)_6a
0
—

chr4
55113303
55113481
464_88702_3791(KDR)_7a
0
—

chr4
55110653
55110768
464_88703_3791(KDR)_8a
0
—

chr4
55107736
55107893
464_88705_3791(KDR)_10a
0
—

chr4
55106686
55106810
464_88706_3791(KDR)_11a
0
—

chr4
55105831
55105940
464_88707_3791(KDR)_12a
0
—

chr4
55104642
55104984
464_88708_3791(KDR)_13a
0
—

chr4
55102361
55102508
464_88709_3791(KDR)_14a
0
—

chr4
55101896
55102028
464_88710_3791(KDR)_15a
0
—

chr4
55098696
55098803
464_88711_3791(KDR)_16a
0
—

chr4
55097661
55097766
464_88713_3791(KDR)_18a
0
—

chr4
55096228
55096342
464_88714_3791(KDR)_19a
0
—

chr4
55095576
55095665
464_88715_3791(KDR)_20a
0
—

chr4
55094801
55094955
464_88716_3791(KDR)_21a
0
—

chr4
55092616
55092714
464_88717_3791(KDR)_22a
0
—

chr4
55089955
55090078
464_88718_3791(KDR)_23a
0
—

chr4
55089690
55089802
464_88719_3791(KDR)_24a
0
—

chr12
120988832
120989032
463_81839_6927(HNF1A)_2
0
—

chr12
120993519
120993706
463_81840_6927(HNF1A)_3
0
—

chr12
120994163
120994405
463_81841_6927(HNF1A)_4
0
—

chr12
120996261
120996413
463_81842_6927(HNF1A)_5
0
—

chr12
120996540
120997166
463_81843_6927(HNF1A)_6
0
—

chr22
23793558
23793688
474_160330_6598(SMARCB)_3
0
—

chr4
55088867
55088973
464_88721_3791(KDR)_26a
0
—

chr4
55087606
55087758
464_88722_3791(KDR)_27a
0
—

chr4
55082535
55082635
464_88723_3791(KDR)_28a
0
—

chr4
55081955
55082041
464_88724_3791(KDR)_29a
0
—

chr4
55079940
55080163
464_88725_3791(KDR)_30a
0
—

chr12
120997473
120997665
463_81844_6927(HNF1A)_7
0
—

chr12
121001064
121001192
463_81846_6927(HNF1A)_9
0
—

chr16
2088445
2088610
476_182379_7249(TSC2)_42
0
—

chr16
2088226
2088325
476_182378_7249(TSC2)_41
0
—

chr16
2088047
2088139
476_182377_7249(TSC2)_40
0
—

chr16
2087862
2087941
476_182376_7249(TSC2)_39
0
—

chr16
2086731
2086871
476_182375_7249(TSC2)_38
0
—

chr16
2085229
2085322
476_182373_7249(TSC2)_36
0
—

chr16
2084950
2085026
476_182372_7249(TSC2)_35
0
—

chr16
2084227
2084715
476_182371_7249(TSC2)_34
0
—

chr16
2083694
2083816
476_182370_7249(TSC2)_33
0
—

chr16
2082435
2082504
476_182369_7249(TSC2)_32
0
—

chr16
2081594
2081798
476_182368_7249(TSC2)_31
0
—

chr16
2079556
2079669
476_182366_7249(TSC2)_29
0
—

chr16
2079275
2079428
476_182365_7249(TSC2)_28
0
—

chr16
2079031
2079196
476_182364_7249(TSC2)_27
0
—

chr16
2077597
2077726
476_182363_7249(TSC2)_26
0
—

chr16
2076490
2076585
476_182362_7249(TSC2)_25
0
—

chr16
2076067
2076257
476_182361_7249(TSC2)_24
0
—

chr16
2074199
2074389
476_182359_7249(TSC2)_22
0
—

chr16
2072848
2072983
476_182358_7249(TSC2)_21
0
—

chr16
2072240
2072363
476_182357_7249(TSC2)_20
0
—

chr16
2071783
2071934
476_182356_7249(TSC2)_19
0
—

chr16
2071509
2071616
476_182355_7249(TSC2)_18
0
—

chr16
2070455
2070578
476_182354_7249(TSC2)_17
0
—

chr16
2064271
2064427
476_182352_7249(TSC2)_15
0
—

chr16
2062971
2063053
476_182351_7249(TSC2)_14
0
—

chr16
2062496
2062600
476_182350_7249(TSC2)_13
0
—

chr16
2061870
2062008
476_182349_7249(TSC2)_12
0
—

chr16
2060669
2060813
476_182348_7249(TSC2)_11
0
—

chr4
55121096
55121190
464_88697_3791(KDR)_2a
0
—

chr4
55118603
55118800
464_88698_3791(KDR)_3a
0
—

chr15
90088358
90088502
463_79505_3418(IDH2)_6a
0
—

chr15
90087438
90087575
463_79506_3418(IDH2)_7a
0
—

chr15
90087111
90087263
463_79507_3418(IDH2)_8a
0
—

chr15
90085274
90085387
463_79508_3418(IDH2)_9a
0
—

chr15
90085000
90085098
463_79509_3418(IDH2)_10a
0
—

chr15
90084265
90084353
463_79511_3418(IDH2)_12a
0
—

chr15
90102275
90102390
463_79500_3418(IDH2)_1a
0
—

chr15
90100575
90100690
463_79501_3418(IDH2)_2a
0
—

chr15
90091552
90091644
463_79502_3418(IDH2)_3a
0
—

chr15
90090478
90090644
463_79503_3418(IDH2)_4a
0
—

chr2
208251429
208251551
463_79492_3417(IDH1)_6a
0
—

chr2
208248368
208248660
463_79493_3417(IDH1)_7a
0
—

chr2
208245318
208245424
463_79494_3417(IDH1)_8a
0
—

chr2
208243426
208243604
463_79495_3417(IDH1)_9a
0
—

chr2
208239862
208240003
463_79497_3417(IDH1)_11a
0
—

chr2
208239070
208239233
463_79498_3417(IDH1)_12a
0
—

chr2
208237078
208237169
463_79499_3417(IDH1)_13a
0
—

chr11
533765
533944
463_79035_3265(HRAS)_3a
0
—

chr11
533452
533612
463_79036_3265(HRAS)_4a
0
—

chr11
533276
533358
463_79037_3265(HRAS)_5a
0
—

chr11
532588
532755
463_79038_3265(HRAS)_6a
0
—

chr10
43112852
43112963
473_148927_5979(RET)_9a
0
—

chr10
43112098
43112224
473_148926_5979(RET)_8a
0
—

chr10
8055655
8055896
462_69261_2625(GATA3)_4a
0
—

chr10
8058304
8058841
462_69262_2625(GATA3)_5a
0
—

chr10
8063992
8064138
462_69263_2625(GATA3)_6a
0
—

chr10
8069472
8069598
462_69264_2625(GATA3)_7a
0
—

chr10
8073738
8074023
462_69265_2625(GATA3)_8a
0
—

chr19
17844233
17844430
463_81744_3718(JAK3)_2a
0
—

chr19
17843776
17843900
463_81745_3718(JAK3)_3a
0
—

chr19
17843379
17843491
463_81746_3718(JAK3)_4a
0
—

chr19
17843026
17843172
463_81747_3718(JAK3)_5a
0
—

chr19
17842315
17842610
463_81748_3718(JAK3)_6a
0
—

chr19
17841639
17841762
463_81749_3718(JAK3)_7a
0
—

chr19
17840229
17840341
463_81751_3718(JAK3)_9a
0
—

chr19
17839476
17839663
463_81752_3718(JAK3)_10a
0
—

chr19
17838262
17838390
463_81753_3718(JAK3)_11a
0
—

chr19
17837931
17838063
463_81754_3718(JAK3)_12a
0
—

chr19
17837128
17837213
463_81755_3718(JAK3)_13a
0
—

chr19
17835923
17836051
463_81756_3718(JAK3)_14a
0
—

chr19
17835082
17835215
463_81757_3718(JAK3)_15a
0
—

chr19
17834570
17834721
463_81759_3718(JAK3)_17a
0
—

chr19
17832789
17832929
463_81760_3718(JAK3)_18a
0
—

chr19
17832518
17832708
463_81761_3718(JAK3)_19a
0
—

chr19
17831673
17831798
463_81762_3718(JAK3)_20a
0
—

chr19
17831227
17831400
463_81763_3718(JAK3)_21a
0
—

chr19
17830502
17830620
463_81764_3718(JAK3)_22a
0
—

chr19
17830107
17830218
463_81765_3718(JAK3)_23a
0
—

chr4
152350041
152350124
461_64086_55294(FBXW7)_7
0
—

chr4
152324183
152324394
461_64095_55294(FBXW7)_16
0
—

chr10
43128111
43128269
473_148938_5979(RET)_20a
0
—

chr10
43126574
43127504
473_148937_5979(RET)_19a
0
—

chr10
43123670
43123808
473_148935_5979(RET)_17a
0
—

chr10
43121945
43122016
473_148934_5979(RET)_16a
0
—

chr10
43120080
43120203
473_148933_5979(RET)_15a
0
—

chr10
43119530
43119745
473_148932_5979(RET)_14a
0
—

chr10
43118372
43118480
473_148931_5979(RET)_13a
0
—

chr10
43116583
43116731
473_148930_5979(RET)_12a
0
—

chr10
43113555
43113675
473_148928_5979(RET)_10a
0
—

chr19
17847945
17848061
463_81743_3718(JAK3)_1a
0
—

chr13
48477354
48477404
472_141468_5925(RB1)_26a
0
—

chr13
48476700
48476843
472_141467_5925(RB1)_25a
0
—

chr13
48473359
48473390
472_141466_5925(RB1)_24a
0
—

chr13
48465204
48465368
472_141465_5925(RB1)_23a
0
—

chr13
48464997
48465111
472_141464_5925(RB1)_22a
0
—

chr13
48463730
48463835
472_141463_5925(RB1)_21a
0
—

chr13
48456203
48456349
472_141461_5925(RB1)_19a
0
—

chr13
48452992
48453111
472_141460_5925(RB1)_18a
0
—

chr13
48381246
48381443
472_141459_5925(RB1)_17a
0
—

chr13
48380164
48380241
472_141458_5925(RB1)_16a
0
—

chr13
48380052
48380084
472_141457_5925(RB1)_15a
0
—

chr13
48379593
48379650
472_141456_5925(RB1)_14a
0
—

chr13
48376917
48377034
472_141455_5925(RB1)_13a
0
—

chr13
48368526
48368604
472_141453_5925(RB1)_11a
0
—

chr13
48367493
48367603
472_141452_5925(RB1)_10a
0
—

chr13
48364893
48364971
472_141451_5925(RB1)_9a
0
—

chr13
48362814
48362957
472_141450_5925(RB1)_8a
0
—

chr13
48360016
48360127
472_141449_5925(RB1)_7a
0
—

chr13
48348955
48349023
472_141448_5925(RB1)_6a
0
—

chr13
48345079
48345199
472_141446_5925(RB1)_4a
0
—

chr13
48342598
48342714
472_141445_5925(RB1)_3a
0
—

chr13
48307279
48307406
472_141444_5925(RB1)_2a
0
—

chr13
48303912
48304049
472_141443_5925(RB1)_1a
0
—

chr4
152411159
152411872
461_64083_55294(FBXW7)_4
0
—

chr4
152382188
152382512
461_64084_55294(FBXW7)_5
0
—

chr4
152352469
152352958
461_64085_55294(FBXW7)6
0
—

chr4
152348673
152348801
461_64087_55294(FBXW7)_8
0
—

chr4
152346929
152347071
461_64088_55294(FBXW7)_9
0
—

chr4
152337801
152337936
461_64089_55294(FBXW7)_10
0
—

chr4
152332595
152332719
461_64090_55294(FBXW7)_11
0
—

chr4
152330731
152330868
461_64091_55294(FBXW7)_12
0
—

chr4
152329671
152329785
461_64092_55294(FBXW7)_13
0
—

chr4
152328207
152328389
461_64093_55294(FBXW7)_14
0
—

chr4
152326005
152326231
461_64094_55294(FBXW7)_15
0
—

chr4
152323088
152323149
461_64096_55294(FBXW7)_17
0
—

chr1
26762151
26762319
426_4224_8289(ARID1A)_7a
0
—

chr1
26773345
26773496
426_4232_8289(ARID1A)_15a
0
—

chr10
43111206
43111465
473_148925_5979(RET)_7a
0
—

chr10
43109030
43109230
473_148924_5979(RET)_6a
0
—

chr10
43106375
43106571
473_148923_5979(RET)_5a
0
—

chr10
43102341
43102629
473_148921_5979(RET)_3a
0
—

chr10
43100458
43100722
473_148920_5979(RET)_2a
0
—

chr10
43077258
43077331
473_148919_5979(RET)_1a
0
—

chr13
32326100
32326150
427_15653_675(BRCA2)_5
0
—

chr13
32346826
32346896
427_15661_675(BRCA2)_13
0
—

chr17
43097243
43097289
427_15613_672(BRCA1)_8
0
—

chr17
43070927
43071238
427_15621_672(BRCA1)_16
0
—

chr17
43045677
43045802
427_15629_672(BRCA1)_24
0
—

chr7
140794307
140794467
427_15637_673(BRAF)_8
0
—

chr7
140749286
140749418
427_15645_673(BRAF)_16
0
—

chr13
32376669
32376791
427_15669_675(BRCA2)_21
0
—

chr18
51049294
51049324
474_158718_4089(SMAD4)_4
0
—

chr19
2164184
2164265
431_55601_84444(DOT1L)_1
0
—

chr22
29043298
29043430
478_203546_84133(ZNRF3)_7
0
—

chr22
29044779
29044890
478_203547_84133(ZNRF3)_8
0
—

chr22
29046715
29046883
478_203548_84133(ZNRF3)_9
0
—

chr22
29049196
29050948
478_203550_84133(ZNRF3)_11
0
—

chr22
29053578
29053622
478_203551_84133(ZNRF3)_12
0
—

chr19
2180712
2180756
431_55602_84444(DOT1L)_2
0
—

chr4
1805354
1805476
461_60345_2261(FGFR3)_12a
0
—

chr4
1805558
1805669
461_60346_2261(FGFR3)_13a
0
—

chr4
1805749
1805940
461_60347_2261(FGFR3)_14a
0
—

chr4
1806050
1806173
461_60348_2261(FGFR3)_15a
0
—

chr4
1806256
1806327
461_60349_2261(FGFR3)_16a
0
—

chr4
1806545
1806683
461_60350_2261(FGFR3)_17a
0
—

chr4
1807115
1807262
461_60352_2261(FGFR3)_19a
0
—

chr4
1793934
1794043
461_60335_2261(FGFR3)_2a
0
—

chr4
1799253
1799523
461_60336_2261(FGFR3)_3a
0
—

chr4
1799746
1799812
461_60337_2261(FGFR3)_4a
0
—

chr4
1801366
1801536
461_60338_2261(FGFR3)_5a
0
—

chr19
2185854
2185929
431_55603_84444(DOT1L)_3
0
—

chr19
2189731
2189795
431_55604_84444(DOT1L)_4
0
—

chr19
2191011
2191240
431_55605_84444(DOT1L)_5
0
—

chr19
2193688
2193783
431_55606_84444(DOT1L)_6
0
—

chr19
2199883
2199939
431_55608_84444(DOT1L)_8
0
—

chr19
2202699
2202779
431_55609_84444(DOT1L)_9
0
—

chr19
2206728
2206797
431_55610_84444(DOT1L)_10
0
—

chr19
2207573
2207680
431_55611_84444(DOT1L)_11
0
—

chr19
2208934
2208976
431_55612_84444(DOT1L)_12
0
—

chr19
2210399
2210510
431_55613_84444(DOT1L)_13
0
—

chr19
2210620
2210855
431_55614_84444(DOT1L)_14
0
—

chr19
2211750
2211842
431_55616_84444(DOT1L)_16
0
—

chr19
2213538
2213640
431_55617_84444(DOT1L)_17
0
—

chr19
2213848
2213986
431_55618_84444(DOT1L)_18
0
—

chr19
2214470
2214596
431_55619_84444(DOT1L)_19
0
—

chr19
2216280
2216765
431_55620_84444(DOT1L)_20
0
—

chr15
66444655
66444707
465_99854_5604(MAP2K1)_6a
0
—

chr15
66481754
66481879
465_99855_5604(MAP2K1)_7a
0
—

chr15
66484989
66485191
465_99856_5604(MAP2K1)_8a
0
—

chr15
66487227
66487292
465_99857_5604(MAP2K1)_9a
0
—

chr15
66489214
66489276
465_99858_5604(MAP2K1)_10a
0
—

chr15
66489717
66489763
465_99859_5604(MAP2K1)_11a
0
—

chr19
2216954
2217090
431_55621_84444(DOT1L)_21
0
—

chr19
2217771
2217918
431_55622_84444(DOT1L)_22
0
—

chr19
2221975
2222559
431_55624_84444(DOT1L)_24
0
—

chr19
2223280
2223486
431_55625_84444(DOT1L)_25
0
—

chr19
2225387
2225452
431_55626_84444(DOT1L)_26
0
—

chr19
2226182
2227127
431_55627_84444(DOT1L)_27
0
—

chr19
2227736
2229792
431_55628_84444(DOT1L)_28
0
—

chr9
5050685
5050831
463_81648_3717(JAK2)_6
0
—

chr9
5055668
5055788
463_81650_3717(JAK2)_8
0
—

chr9
5064882
5065040
463_81651_3717(JAK2)_9
0
—

chr9
5066677
5066789
463_81652_3717(JAK2)_10
0
—

chr9
5069021
5069208
463_81653_3717(JAK2)_11
0
—

chr9
5069924
5070052
463_81654_3717(JAK2)_12
0
—

chr9
5072491
5072626
463_81655_3717(JAK2)_13
0
—

chr9
5077452
5077580
463_81657_3717(JAK2)_15
0
—

chr9
5078305
5078444
463_81658_3717(JAK2)_16
0
—

chr9
5080228
5080380
463_81659_3717(JAK2)_17
0
—

chr9
5080532
5080683
463_81660_3717(JAK2)_18
0
—

chr9
5081724
5081861
463_81661_3717(JAK2)_19
0
—

chr9
5089673
5089863
463_81662_3717(JAK2)_20
0
—

chr9
5090445
5090570
463_81663_3717(JAK2)_21
0
—

chr9
5123003
5123121
463_81665_3717(JAK2)_23
0
—

chr9
5126332
5126446
463_81666_3717(JAK2)_24
0
—

chr9
5126683
5126791
463_81667_3717(JAK2)_25
0
—

chr4
1801619
1801743
461_60339_2261(FGFR3)_6a
0
—

chr4
1801834
1802025
461_60340_2261(FGFR3)_7a
0
—

chr10
121518681
121518829
461_60359_2263(FGFR2)_9a
0
—

chr10
121487353
121487424
461_60367_2263(FGFR2)_17a
0
—

chr10
121593708
121593817
461_60353_2263(FGFR2)_3a
0
—

chr10
121565437
121565704
461_60354_2263(FGFR2)_4a
0
—

chr10
121564501
121564579
461_60355_2263(FGFR2)_5a
0
—

chr10
121551289
121551459
461_60356_2263(FGFR2)_6a
0
—

chr10
121538591
121538715
461_60357_2263(FGFR2)_7a
0
—

chr10
121519978
121520169
461_60358_2263(FGFR2)_8a
0
—

chr10
121517318
121517463
461_60360_2263(FGFR2)_10a
0
—

chr10
121515116
121515319
461_60361_2263(FGFR2)_11a
0
—

chr10
121503789
121503941
461_60362_2263(FGFR2)_12a
0
—

chr10
121500825
121500947
461_60363_2263(FGFR2)_13a
0
—

chr10
121498494
121498605
461_60364_2263(FGFR2)_14a
0
—

chr10
121496531
121496722
461_60365_2263(FGFR2)_15a
0
—

chr10
121487990
121488113
461_60366_2263(FGFR2)_16a
0
—

chr10
121485394
121485532
461_60368_2263(FGFR2)_18a
0
—

chr10
121483697
121483803
461_60369_2263(FGFR2)_19a
0
—

chr10
121481850
121482177
461_60370_2263(FGFR2)_20a
0
—

chr10
121479580
121480021
461_60371_2263(FGFR2)_21a
0
—

chr8
38461095
38461106
461_60316_2260(FGFR1)_3a
0
—

chr8
38421796
38421941
461_60324_2260(FGFR1)_11a
0
—

chr8
38413917
38414023
461_60333_2260(FGFR1)_20a
0
—

chr8
38457355
38457534
461_60317_2260(FGFR1)_4a
0
—

chr8
38440305
38440373
461_60318_2260(FGFR1)_5a
0
—

chr8
38429681
38429948
461_60319_2260(FGFR1)_6a
0
—

chr8
38428345
38428435
461_60320_2260(FGFR1)_7a
0
—

chr8
38427920
38428093
461_60321_2260(FGFR1)_8a
0
—

chr8
38426121
38426245
461_60322_2260(FGFR1)_9a
0
—

chr8
38424508
38424699
461_60323_2260(FGFR1)_10a
0
—

chr8
38419532
38419735
461_60325_2260(FGFR1)_12a
0
—

chr8
38418227
38418373
461_60326_2260(FGFR1)_13a
0
—

chr8
38417869
38417991
461_60327_2260(FGFR1)_14a
0
—

chr8
38417305
38417416
461_60328_2260(FGFR1)_15a
0
—

chr8
38415869
38416060
461_60329_2260(FGFR1)_16a
0
—

chr8
38414778
38414901
461_60330_2260(FGFR1)_17a
0
—

chr1
64838464
64838589
463_81643_3716(JAK1)_22a
0
—

chr1
64837931
64838104
463_81644_3716(JAK1)_23a
0
—

chr1
64836097
64836215
463_81645_3716(JAK1)_24a
0
—

chr1
64835395
64835506
463_81646_3716(JAK1)_25a
0
—

chr8
38414558
38414629
461_60331_2260(FGFR1)_18a
0
—

chr8
38414151
38414289
461_60332_2260(FGFR1)_19a
0
—

chr8
38413627
38413804
461_60334_2260(FGFR1)_21a
0
—

chr7
148832633
148832750
461_59349_2146(EZH2)_6
0
—

chr7
148816683
148816778
461_59357_2146(EZH2)_14
0
—

chr1
64834561
64834657
463_81647_3716(JAK1)_26a
0
—

chr1
64886258
64886341
463_81624_3716(JAK1)_3a
0
—

chr1
64879024
64879148
463_81626_3716(JAK1)_5a
0
—

chr1
64873369
64873523
463_81627_3716(JAK1)_6a
0
—

chr22
29031584
29031631
478_203544_84133(ZNRF3)_5
0
—

chr7
148807645
148807706
461_59365_2146(EZH2)_22
0
—

chr7
148850453
148850470
461_59346_2146(EZH2)_3
0
—

chr7
148847181
148847305
461_59347_2146(EZH2)_4
0
—

chr7
148846469
148846598
461_59348_2146(EZH2)_5
0
—

chr7
148829727
148829848
461_59350_2146(EZH2)_7
0
—

chr7
148828739
148828880
461_59351_2146(EZH2)_8
0
—

chr7
148827163
148827266
461_59352_2146(EZH2)_9
0
—

chr7
148826453
148826632
461_59353_2146(EZH2)_10
0
—

chr7
148819595
148819687
461_59354_2146(EZH2)_11
0
—

chr7
148817876
148818117
461_59355_2146(EZH2)_12
0
—

chr7
148817221
148817391
461_59356_2146(EZH2)_13
0
—

chr7
148815505
148815546
461_59358_2146(EZH2)_15
0
—

chr7
148814913
148815039
461_59359_2146(EZH2)_16
0
—

chr7
148813958
148814137
461_59360_2146(EZH2)_17
0
—

chr7
148811624
148811720
461_59361_2146(EZH2)_18
0
—

chr7
148810332
148810414
461_59362_2146(EZH2)_19
0
—

chr7
148809309
148809390
461_59363_2146(EZH2)_20
0
—

chr7
148809070
148809155
461_59364_2146(EZH2)_21
0
—

chr1
64869310
64869474
463_81628_3716(JAK1)_7a
0
—

chr1
64866865
64867208
463_81629_3716(JAK1)_8a
0
—

chr1
64864786
64864972
463_81630_3716(JAK1)_9a
0
—

chr1
64860104
64860262
463_81631_3716(JAK1)_10a
0
—

chr1
64857655
64857779
463_81632_3716(JAK1)_11a
0
—

chr1
64850803
64850910
463_81634_3716(JAK1)_13a
0
—

chr1
64847531
64847675
463_81635_3716(JAK1)_14a
0
—

chr1
64846648
64846736
463_81636_3716(JAK1)_15a
0
—

chr1
64845512
64845640
463_81637_3716(JAK1)_16a
0
—

chr1
64844753
64844889
463_81638_3716(JAK1)_17a
0
—

chr15
90088586
90088747
463_79504_3418(IDH2)_5a
0
—

chr15
90084815
90084908
463_79510_3418(IDH2)_11a
0
—

chr2
208241993
208242145
463_79496_3417(IDH1)_10a
0
—

chr11
534211
534322
463_79034_3265(HRAS)_2a
0
—

chr13
48479997
48480071
472_141469_5925(RB1)_27a
0
—

chr13
48459687
48459833
472_141462_5925(RB1)_20a
0
—

chr13
48373404
48373492
472_141454_5925(RB1)_12a
0
—

chr13
48347824
48347863
472_141447_5925(RB1)_5a
0
—

chr17
58354942
58354986
473_154862_54894(RNF43)_10
0
—

chr17
58357467
58358823
473_154861_54894(RNF43)_9
0
—

chr17
58360148
58360251
473_154860_54894(RNF43)_8
0
—

chr17
58360782
58360944
473_154859_54894(RNF43)_7
0
—

chr17
58362543
58362648
473_154858_54894(RNF43)_6
0
—

chr17
58363274
58363406
473_154857_54894(RNF43)_5
0
—

chr17
58370910
58371033
473_154855_54894(RNF43)_3
0
—

chr17
58415325
58415577
473_154854_54894(RNF43)_2
0
—

chr22
29042494
29042569
478_203545_84133(ZNRF3)_6
0
—

chr22
23834140
23834180
474_160336_6598(SMARCB1)_9
0
—

chr22
23833571
23833703
474_160335_6598(SMARCB1)_8
0
—

chr22
23825224
23825415
474_160334_6598(SMARCB1)_7
0
—

chr22
23816769
23816936
474_160333_6598(SMARCB1)_6
0
—

chr22
23803294
23803422
474_160332_6598(SMARCB1)_5
0
—

chr22
23800943
23801135
474_160331_6598(SMARCB1)_4
0
—

chr22
23791755
23791894
474_160329_6598(SMARCB1)_2
0
—

chr22
23787169
23787262
474_160328_6598(SMARCB1)_1
0
—

chr7
129212023
129212451
474_160575_6608(SMO)_12a
0
—

chr7
129211635
129211770
474_160574_6608(SMO)_11a
0
—

chr7
129210362
129210548
474_160572_6608(SMO)_9a
0
—

chr7
129209288
129209397
474_160571_6608(SMO)_8a
0
—

chr7
129208758
129208851
474_160570_6608(SMO)_7a
0
—

chr7
129206463
129206587
474_160569_6608(SMO)_6a
0
—

chr7
129206149
129206369
474_160568_6608(SMO)_5a
0
—

chr7
129205609
129205782
474_160567_6608(SMO)_4a
0
—

chr7
129203383
129203589
474_160565_6608(SMO)_2a
0
—

chr7
129189151
129189482
474_160564_6608(SMO)_1a
0
—

chr22
28917388
28917481
478_203541_84133(ZNRF3)_2
0
—

chr22
29048388
29048491
478_203549_84133(ZNRF3)_10
0
—

chr13
28070490
28070612
461_60854_2322(FLT3)_3a
0
—

chr2
212124751
212124903
461_58773_2066(ERBB4)_2a
0
—

chr2
211704103
211704194
461_58782_2066(ERBB4)_11a
0
—

chr2
211623921
211624044
461_58790_2066(ERBB4)_19a
0
—

chr2
211387944
211387992
461_58798_2066(ERBB4)_27a
0
—

chr13
28037184
28037288
461_60862_2322(FLT3)_11a
0
—

chr13
28024860
28024943
461_60870_2322(FLT3)_19a
0
—

chr22
28883766
28884066
478_203540_84133(ZNRF3)_1
0
—

chr22
28986622
28986639
478_203542_84133(ZNRF3)_3
0
—

chr22
28987075
28987201
478_203543_84133(ZNRF3)_4
0
—

chr4
1802913
1803064
461_60341_2261(FGFR3)_8a
0
—

chr4
1804329
1804520
461_60343_2261(FGFR3)_10a
0
—

chr4
1806828
1806934
461_60351_2261(FGFR3)_18a
0
—

chr4
1803691
1803836
461_60342_2261(FGFR3)_9a
0
—

chr4
1804823
1804969
461_60344_2261(FGFR3)_11a
0
—

chr19
2194514
2194577
431_55607_84444(DOT1L)_7
0
—

chr19
2211098
2211212
431_55615_84444(DOT1L)_15
0
—

chr19
2220107
2220222
431_55623_84444(DOT1L)_23
0
—

chr19
1221948
1222006
475_170593_6794(STK11)_7a
0
—

chr19
1206913
1207203
475_170587_6794(STK11)_1a
0
—

chr19
1218416
1218500
475_170588_6794(STK11)_2a
0
—

chr2
211619176
211619275
461_58791_2066(ERBB4)_20a
0
—

chr2
211561902
211562088
461_58792_2066(ERBB4)_21a
0
—

chr2
211430944
211431100
461_58793_2066(ERBB4)_22a
0
—

chr2
211428407
211428483
461_58794_2066(ERBB4)_23a
0
—

chr2
211424154
211424301
461_58795_2066(ERBB4)_24a
0
—

chr2
211422006
211422104
461_58796_2066(ERBB4)_25a
0
—

chr2
211420440
211420611
461_58797_2066(ERBB4)_26a
0
—

chr2
211386852
211387150
461_58799_2066(ERBB4)_28a
0
—

chr2
211383614
211384060
461_58800_2066(ERBB4)_29a
0
—

chr12
56087794
56087913
461_58655_2065(ERBB3)_6a
0
—

chr12
56094098
56094189
461_58757_2065(ERBB3)_14a
0
—

chr12
56098499
56098575
461_58765_2065(ERBB3)_22a
0
—

chr19
1219323
1219413
475_170589_6794(STK11)_3a
0
—

chr19
1220372
1220505
475_170590_6794(STK11)_4a
0
—

chr19
1220580
1220717
475_170591_6794(STK11)_5a
0
—

chr19
1221212
1221340
475_170592_6794(STK11)_6a
0
—

chr19
1222984
1223172
475_170594_6794(STK11)_8a
0
—

chr19
1223637
1226446
475_170595_6794(STK11)_9a
0
—

chr19
1226453
1226663
475_170596_6794(STK11)_10a
0
—

chr19
1227592
1228082
475_170597_6794(STK11)_11a
0
—

chr20
37393894
37393993
475_169919_6714(SRC)_7a
0
—

chr12
56099647
56099745
461_58767_2065(ERBB3)_24a
0
—

chr12
56099837
56100029
461_58768_2065(ERBB3)_25a
0
—

chr12
56100173
56100245
461_58769_2065(ERBB3)_26a
0
—

chr12
56101060
56101361
461_58770_2065(ERBB3)_27a
0
—

chr12
56101528
56102055
461_58771_2065(ERBB3)_28a
0
—

chr20
37402748
37402880
475_169926_6714(SRC)_14a
0
—

chr20
37384153
37384403
475_169917_6714(SRC)_5a
0
—

chr20
37386074
37386174
475_169918_6714(SRC)_6a
0
—

chr20
37394173
37394277
475_169920_6714(SRC)_8a
0
—

chr20
37396161
37396311
475_169921_6714(SRC)_9a
0
—

chr20
37397698
37397854
475_169922_6714(SRC)_10a
0
—

chr20
37400114
37400294
475_169923_6714(SRC)_11a
0
—

chr20
37401601
37401678
475_169924_6714(SRC)_12a
0
—

chr20
37402434
37402588
475_169925_6714(SRC)_13a
0
—

chr20
37403170
37403379
475_169927_6714(SRC)_15a
0
—

chr15
66435026
66435237
465_99851_5604(MAP2K1)_3a
0
—

chr17
39700000
39700311
461_58728_2064(ERBB2)_6a
0
—

chr17
39712321
39712448
461_58736_2064(ERBB2)_14a
0
—

chr17
39723318
39723457
461_58744_2064(ERBB2)_22a
0
—

chr17
39726814
39727003
461_58752_2064(ERBB2)_30a
0
—

chr17
39699559
39699587
461_58727_2064(ERBB2)_5a
0
—

chr17
39706987
39707141
461_58729_2064(ERBB2)_7a
0
—

chr17
39708320
39708534
461_58730_2064(ERBB2)_8a
0
—

chr17
39709317
39709452
461_58731_2064(ERBB2)_9a
0
—

chr17
39709812
39709881
461_58732_2064(ERBB2)_10a
0
—

chr17
39710085
39710201
461_58733_2064(ERBB2)_11a
0
—

chr17
39710339
39710481
461_58734_2064(ERBB2)_12a
0
—

chr17
39711927
39712047
461_58735_2064(ERBB2)_13a
0
—

chr17
39715285
39715359
461_58737_2064(ERBB2)_15a
0
—

chr17
39715445
39715536
461_58738_2064(ERBB2)_16a
0
—

chr17
39715739
39715939
461_58739_2064(ERBB2)_17a
0
—

chr17
39716300
39716433
461_58740_2064(ERBB2)_18a
0
—

chr17
39716514
39716605
461_58741_2064(ERBB2)_19a
0
—

chr17
39717319
39717480
461_58742_2064(ERBB2)_20a
0
—

chr17
39719786
39719834
461_58743_2064(ERBB2)_21a
0
—

chr17
39723537
39723660
461_58745_2064(ERBB2)_23a
0
—

chr17
39723911
39724010
461_58746_2064(ERBB2)_24a
0
—

chr17
39724725
39724911
461_58747_2064(ERBB2)_25a
0
—

chr17
39725048
39725204
461_58748_2064(ERBB2)_26a
0
—

chr17
39725326
39725402
461_58749_2064(ERBB2)_27a
0
—

chr17
39725706
39725853
461_58750_2064(ERBB2)_28a
0
—

chr17
39726561
39726659
461_58751_2064(ERBB2)_29a
0
—

chr17
39727294
39727547
461_58753_2064(ERBB2)_31a
0
—

chr17
39727688
39728044
461_58754_2064(ERBB2)_32a
0
—

chr15
66490501
66490615
465_99860_5604(MAP2K1)_12a
0
—

chr15
66387347
66387427
465_99849_5604(MAP2K1)_1a
0
—

chr15
66401862
66401947
465_99850_5604(MAP2K1)_2a
0
—

chr15
66436745
66436892
465_99852_5604(MAP2K1)_4a
0
—

chr15
66443279
66443357
465_99853_5604(MAP2K1)_5a
0
—

chr1
113585386
113585596
465_103739_260425(MAGI3)_4
0
—

chr1
113643742
113643774
465_103747_260425(MAGI3)_12
0
—

chr1
113673321
113673465
465_103755_260425(MAGI3)_20
0
—

chr1
113391033
113391349
465_103736_260425(MAGI3)_1
0
—

chr1
113549514
113549631
465_103737_260425(MAGI3)_2
0
—

chr1
113580541
113580661
465_103738_260425(MAGI3)_3
0
—

chr1
113590483
113590658
465_103740_260425(MAGI3)_5
0
—

chr17
31356459
31356582
469_118625_4763(NF1)_52a
0
—

chr17
31352256
31352414
469_118624_4763(NF1)_51a
0
—

chr17
31350182
31350318
469_118623_4763(NF1)_50a
0
—

chr1
26774328
26775220
426_4235_8289(ARID1A)_18a
0
—

chr1
26775576
26775707
426_4236_8289(ARID1A)_19a
0
—

chr1
26779022
26780756
426_4237_8289(ARID1A)_20a
0
—

chr5
112801278
112801383
426_2913_324(APC)_11a
0
—

chr5
112837552
112844126
426_2921_324(APC)_19a
0
—

chr5
112707717
112707882
426_2903_324(APC)_1a
0
—

chr5
112737858
112737925
426_2904_324(APC)_2a
0
—

chr5
112738331
112738460
426_2905_324(APC)_3a
0
—

chr5
112754872
112755025
426_2906_324(APC)_4a
0
—

chr5
112755074
112755094
426_2907_324(APC)_5a
0
—

chr5
112766325
112766410
426_2908_324(APC)_6a
0
—

chr5
112767188
112767390
426_2909_324(APC)_7a
0
—

chr5
112775628
112775737
426_2910_324(APC)_8a
0
—

chr5
112780789
112780903
426_2911_324(APC)_9a
0
—

chr5
112792445
112792529
426_2912_324(APC)_10a
0
—

chr5
112815494
112815593
426_2914_324(APC)_12a
0
—

chr5
112818965
112819344
426_2915_324(APC)_13a
0
—

chr5
112821895
112821991
426_2916_324(APC)_14a
0
—

chr5
112827107
112827247
426_2917_324(APC)_15a
0
—

chr5
112827928
112828006
426_2918_324(APC)_16a
0
—

chr1
113594480
113594560
465_103741_260425(MAGI3)_6
0
—

chr16
68801669
68801893
428_25422_999(CDH1)_3
0
—

chr16
68815514
68815759
428_25429_999(CDH1)_10
0
—

chr16
68737415
68737463
428_25420_999(CDH1)_1
0
—

chr16
68738296
68738411
428_25421_999(CDH1)_2
0
—

chr16
68808423
68808567
428_25423_999(CDH1)_4
0
—

chr1
113614600
113614658
465_103742_260425(MAGI3)_70
0
—

chr1
113618531
113618606
465_103743_260425(MAGI3)_80
0
—

chr1
113619735
113619830
465_103744_260425(MAGI3)_90
0
—

chr1
113622805
113622994
465_103745_260425(MAGI3)_10
0
—

chr1
113641910
113642516
465_103746_260425(MAGI3)_11
0
—

chr1
113646485
113646642
465_103748_260425(MAGI3)_13
0
—

chr1
113649236
113649328
465_103749_260425(MAGI3)_14
0
—

chr1
113651013
113651206
465_103750_260425(MAGI3)_15
0
—

chr1
113653829
113654018
465_103751_260425(MAGI3)_16
0
—

chr1
113659079
113659265
465_103752_260425(MAGI3)_17
0
—

chr1
113671733
113671836
465_103753_260425(MAGI3)_18
0
—

chr1
113672614
113672741
465_103754_260425(MAGI3)_19
0
—

chr1
113681197
113681336
465_103756_260425(MAGI3)_21
0
—

chr1
113682211
113684014
465_103757_260425(MAGI3)_22
0
—

chr16
68808692
68808848
428_25424_999(CDH1)_5
0
—

chr16
68810196
68810341
428_25425_999(CDH1)_6
0
—

chr16
68811683
68811859
428_25426_999(CDH1)_7
0
—

chr16
68812134
68812263
428_25427_999(CDH1)_8
0
—

chr16
68813312
68813495
428_25428_999(CDH1)_9
0
—

chr7
152315137
152315338
464_94967_58508(KMT2C)_4
0
—

chr7
152249875
152249953
464_94976_58508(KMT2C)_13
0
—

chr7
152222572
152222682
464_94984_58508(KMT2C)_21
0
—

chr7
152194439
152194568
464_94993_58508(KMT2C)_30
0
—

chr7
152171263
152171342
464_95004_58508(KMT2C)_41
0
—

chr7
152154009
152154146
464_95013_58508(KMT2C)_50
0
—

chr7
152139674
152139791
464_95021_58508(KMT2C)_58
0
—

chr16
68819279
68819425
428_25430_999(CDH1)_11
0
—

chr7
152180710
152182594
464_95000_58508(KMT2C)_37
0
—

chr7
152179833
152180126
464_95001_58508(KMT2C)_38
0
—

chr7
152176190
152178010
464_95002_58508(KMT2C)_39
0
—

chr7
152174130
152174242
464_95003_58508(KMT2C)_40
0
—

chr7
152169185
152169249
464_95005_58508(KMT2C)_42
0
—

chr7
152167145
152167378
464_95006_58508(KMT2C)_43
0
—

chr7
152162116
152163826
464_95007_58508(KMT2C)_44
0
—

chr7
152158856
152159072
464_95008_58508(KMT2C)_45
0
—

chr7
152157760
152157925
464_95009_58508(KMT2C)_46
0
—

chr7
152156204
152156346
464_95010_58508(KMT2C)_47
0
—

chr7
152155909
152156057
464_95011_58508(KMT2C)_48
0
—

chr7
152154266
152154445
464_95012_58508(KMT2C)_49
0
—

chr7
152152704
152152954
464_95014_58508(KMT2C)_51
0
—

chr7
152151441
152151581
464_95015_58508(KMT2C)_52
0
—

chr7
152150899
152151007
464_95016_58508(KMT2C)_53
0
—

chr7
152148032
152149152
464_95017_58508(KMT2C)_54
0
—

chr7
152146598
152146735
464_95018_58508(KMT2C)_55
0
—

chr7
152145152
152145295
464_95019_58508(KMT2C)_56
0
—

chr7
152144712
152144881
464_95020_58508(KMT2C)_57
0
—

chr7
152435625
152435786
464_94964_58508(KMT2C)_1
0
—

chr7
152358586
152358675
464_94965_58508(KMT2C)_2
0
—

chr7
152330600
152330742
464_94966_58508(KMT2C)_3
0
—

chr7
152311797
152311946
464_94968_58508(KMT2C)_5
0
—

chr7
152309965
152310075
464_94969_58508(KMT2C)_6
0
—

chr7
152273704
152273867
464_94970_58508(KMT2C)_7
0
—

chr7
152265037
152265209
464_94971_58508(KMT2C)_8
0
—

chr7
152263015
152263130
464_94972_58508(KMT2C)_9
0
—

chr7
152252545
152252715
464_94973_58508(KMT2C)_1
0
—

chr16
68822000
68822225
428_25431_999(CDH1)_12
0
—

chr7
152251938
152252090
464_94974_58508(KMT2C)_11
0
—

chr7
152250852
152250966
464_94975_58508(KMT2C)_12
0
—

chr7
152247901
152248620
464_94977_58508(KMT2C)_14
0
—

chr7
152238706
152238826
464_94978_58508(KMT2C)_15
0
—

chr7
152235816
152235933
464_94979_58508(KMT2C)_16
0
—

chr7
152230219
152230321
464_94980_58508(KMT2C)_17
0
—

chr7
152229922
152230027
464_94981_58508(KMT2C)_18
0
—

chr5
112828855
112828972
426_2919_324(APC)_17a
0
—

chr5
112834950
112835165
426_2920_324(APC)_18a
0
—

chr14
104777568
104777740
426_1772_207(AKT1)_6a
0
—

chr14
104776658
104776770
426_1773_207(AKT1)_7a
0
—

chr14
104775075
104775207
426_1775_207(AKT1)_9a
0
—

chr14
104774937
104775003
426_1776_207(AKT1)_10a
0
—

chr14
104773911
104773980
426_1777_207(AKT1)_11a
0
—

chr14
104773454
104773580
426_1778_207(AKT1)_12a
0
—

chr14
104773250
104773379
426_1779_207(AKT1)_13a
0
—

chr14
104772877
104773092
426_1780_207(AKT1)_14a
0
—

chr14
104772364
104772452
426_1781_207(AKT1)_15a
0
—

chr14
104770340
104770420
426_1783_207(AKT1)_17a
0
—

chr9
130714319
130714455
426_351_25(ABL1)_1
0
—

chr9
130835443
130835525
426_352_25(ABL1)_2
0
—

chr7
152224434
152224616
464_94982_58508(KMT2C)_19
0
—

chr1
11258484
11258593
466_105882_2475(MTOR)_3a
0
—

chr1
11243113
11243300
466_105889_2475(MTOR)_10a
0
—

chr1
11231299
11231434
466_105897_2475(MTOR)_18a
0
—

chr1
11209311
11209458
466_105905_2475(MTOR)_26a
0
—

chr1
11146675
11146791
466_105912_2475(MTOR)_33a
0
—

chr1
11129737
11129838
466_105920_2475(MTOR)_41a
0
—

chr1
11121978
11122126
466_105928_2475(MTOR)_49a
0
—

chr1
11109648
11109729
466_105935_2475(MTOR)_56a
0
—

chr7
152139185
152139259
464_95022_58508(KMT2C)_59
0
—

chr7
140801411
140801560
427_15635_673(BRAF)_6
0
—

chr7
140800361
140800481
427_15636_673(BRAF)_7
0
—

chr16
68823398
68823626
428_25432_999(CDH1)_13
0
—

chr16
68828173
68828304
428_25433_999(CDH1)_14
0
—

chr16
68829653
68829797
428_25434_999(CDH1)_15
0
—

chr16
68833289
68833499
428_25435_999(CDH1)_16
0
—

chr7
152138795
152138904
464_95023_58508(KMT2C)_60
0
—

chr7
152136831
152136924
464_95024_58508(KMT2C)_61
0
—

chr9
130883968
130885683
426_362_25(ABL1)_12
0
—

chr9
130862762
130863035
426_355_25(ABL1)_5
0
—

chr13
32316460
32316527
427_15650_675(BRCA2)_2
0
—

chr13
32319076
32319325
427_15651_675(BRCA2)_3
0
—

chr13
32325075
32325184
427_15652_675(BRCA2)_4
0
—

chr13
32326241
32326282
427_15654_675(BRCA2)_6
0
—

chr13
32326498
32326613
427_15655_675(BRCA2)_7
0
—

chr13
32329442
32329492
427_15656_675(BRCA2)_8
0
—

chr13
32330918
32331030
427_15657_675(BRCA2)_9
0
—

chr13
32332271
32333387
427_15658_675(BRCA2)_10
0
—

chr13
32336264
32341196
427_15659_675(BRCA2)_11
0
—

chr13
32344557
32344653
427_15660_675(BRCA2)_12
0
—

chr13
32354897
32355325
427_15662_675(BRCA2)_14
0
—

chr13
32356427
32356609
427_15663_675(BRCA2)_15
0
—

chr4
54698283
54698565
464_88968_3815(KIT)_3
0
—

chr4
54727217
54727324
464_88975_3815(KIT)_10
0
—

chr4
54736497
54736609
464_88983_3815(KIT)_18
0
—

chr4
54658014
54658081
464_88966_3815(KIT)_1
0
—

chr4
54695511
54695781
464_88967_3815(KIT)_2
0
—

chr4
54699629
54699766
464_88969_3815(KIT)_4
0
—

chr6
152098731
152098966
461_58886_2099(ESR1)_12
0
—

chr6
151807912
151808364
461_58879_2099(ESR1)_5
0
—

chr6
151842596
151842793
461_58880_2099(ESR1)_6
0
—

chr6
151880654
151880771
461_58881_2099(ESR1)_7
0
—

chr6
151944172
151944508
461_58882_2099(ESR1)_8
0
—

chr6
152011655
152011794
461_58883_2099(ESR1)_9
0
—

chr4
54703720
54703892
464_88970_3815(KIT)_5
0
—

chr4
54707097
54707287
464_88971_3815(KIT)_6
0
—

chr4
54709423
54709539
464_88972_3815(KIT)_7
0
—

chr4
54723583
54723698
464_88973_3815(KIT)_8
0
—

chr4
54725856
54726050
464_88974_3815(KIT)_9
0
—

chr4
54727415
54727542
464_88976_3815(KIT)_11
0
—

chr4
54727822
54727927
464_88977_3815(KIT)_12
0
—

chr4
54728010
54728121
464_88978_3815(KIT)_13
0
—

chr4
54729334
54729485
464_88979_3815(KIT)_14
0
—

chr4
54731327
54731419
464_88980_3815(KIT)_15
0
—

chr4
54731870
54731998
464_88981_3815(KIT)_16
0
—

chr4
54733069
54733192
464_88982_3815(KIT)_17
0
—

chr7
140787547
140787584
427_15638_673(BRAF)_9
0
—

chr7
140783020
140783157
427_15639_673(BRAF)_10
0
—

chr7
140781575
140781693
427_15640_673(BRAF)_11
0
—

chr7
140777990
140778075
427_15641_673(BRAF)_12
0
—

chr7
140776911
140777088
427_15642_673(BRAF)_13
0
—

chr7
140754186
140754233
427_15643_673(BRAF)_14
0
—

chr7
140753274
140753393
427_15644_673(BRAF)_15
0
—

chr7
140747365
140747447
427_15646_673(BRAF)_17
0
—

chr7
140739811
140739946
427_15647_673(BRAF)_18
0
—

chr7
140734011
140734770
427_15648_673(BRAF)_19
0
—

chr4
54736720
54736820
464_88984_3815(KIT)_19
0
—

chr7
140719333
140726516
427_15649_673(BRAF)_20
0
—

chr9
130854063
130854237
426_353_25(ABL1)_3
0
—

chr9
130854800
130855096
426_354_25(ABL1)_4
0
—

chr1
26696403
26697540
426_4218_8289(ARID1A)_1a
0
—

chr1
26729650
26729863
426_4219_8289(ARID1A)_2a
0
—

chr1
26731151
26731604
426_4220_8289(ARID1A)_3a
0
—

chr1
26732675
26732792
426_4221_8289(ARID1A)_4a
0
—

chr4
54737174
54737280
464_88985_3815(KIT)_20
0
—

chr1
26760855
26761096
426_4222_8289(ARID1A)_5a
0
—

chr1
26761383
26761473
426_4223_8289(ARID1A)_6a
0
—

chr5
56884663
56884826
465_99634_4214(MAP3K1)_18a
0
—

chr5
56887377
56887520
465_99636_4214(MAP3K1)_20a
0
—

chr5
56888225
56888357
465_99637_4214(MAP3K1)_21a
0
—

chr5
56893530
56893680
465_99638_4214(MAP3K1 )_22a
0
—

chr17
12110374
12110426
465_99954_6416(MAP2K4)_8
0
—

chr1
26762972
26763285
426_4225_8289(ARID1A)_8a
0
—

chr1
26766220
26766366
426_4226_8289(ARID1A)_9a
0
—

chr13
32357741
32357929
427_15664_675(BRCA2)_16
0
—

chr2
29296887
29297057
426_1978_238(ALK)_9
0
—

chr2
29275401
29275496
426_1979_238(ALK)_10
0
—

chr2
29275098
29275227
426_1980_238(ALK)_11
0
—

chr2
29251104
29251267
426_1981_238(ALK)_12
0
—

chr2
29239679
29239830
426_1982_238(ALK)_13
0
—

chr2
29232303
29232448
426_1984_238(ALK)_15
0
—

chr2
29228883
29229066
426_1985_238(ALK)_16
0
—

chr2
29227573
29227672
426_1986_238(ALK)_17
0
—

chr2
29226921
29227074
426_1987_238(ALK)_18
0
—

chr2
29225460
29225565
426_1988_238(ALK)_19
0
—

chr2
29223341
29223528
426_1989_238(ALK)_20
0
—

chr2
29222516
29222607
426_1990_238(ALK)_21
0
—

chr2
29222343
29222408
426_1991_238(ALK)_22
0
—

chr2
29213983
29214081
426_1993_238(ALK)_24
0
—

chr2
29209785
29209878
426_1994_238(ALK)_25
0
—

chr2
29207170
29207272
426_1995_238(ALK)_26
0
—

chr2
29197541
29197676
426_1996_238(ALK)_27
0
—

chr3
142559250
142559441
427_14859_545(ATR)_7
0
—

chr3
142550131
142550302
427_14866_545(ATR)_14
0
—

chr3
142538481
142538625
427_14871_545(ATR)_19
0
—

chr3
142513500
142513638
427_14878_545(ATR)_26
0
—

chr3
142496360
142496520
427_14886_545(ATR)_34
0
—

chr3
142461939
142462090
427_14894_545(ATR)_42
0
—

chr2
29196769
29196860
426_1997_238(ALK)_28
0
—

chr2
29193223
29193922
426_1998_238(ALK)_29
0
—

chr14
104775651
104775799
426_1774_207(AKT1)_8a
0
—

chr14
104770744
104770847
426_1782_207(AKT1)_16a
0
—

chr14
104792597
104792643
426_1770_207(AKT1)_4a
0
—

chr14
104780087
104780216
426_1771_207(AKT1)_5a
0
—

chr4
54738428
54738557
464_88986_3815(KIT)_21
0
—

chr2
29328349
29328481
426_1975_238(ALK)_6
0
—

chr2
29233564
29233696
426_1983_238(ALK)_14
0
—

chr2
29220705
29220835
426_1992_238(ALK)_23
0
—

chr2
29919992
29920659
426_1970_238(ALK)_1
0
—

chr2
29717577
29717697
426_1971_238(ALK)_2
0
—

chr2
29694849
29695014
426_1972_238(ALK)_3
0
—

chr2
29531914
29532116
426_1973_238(ALK)_4
0
—

chr2
29383731
29383859
426_1974_238(ALK)_5
0
—

chr2
29320750
29320882
426_1976_238(ALK)_7
0
—

chr1
26766456
26766566
426_4227_8289(ARID1A)_10a
0
—

chr1
26767789
26767999
426_4228_8289(ARID1A)_11a
0
—

chr9
130872128
130872213
426_356_25(ABL1)_6
0
—

chr9
130872859
130873037
426_357_25(ABL1)_7
0
—

chr9
130874867
130875052
426_358_25(ABL1)_8
0
—

chr9
130878414
130878567
426_359_25(ABL1)_9
0
—

chr9
130880067
130880157
426_360_25(ABL1)_10
0
—

chr9
130880499
130880664
426_361_25(ABL1)_11
0
—

chr13
32362522
32362693
427_15665_675(BRCA2)_17
0
—

chr13
32363178
32363533
427_15666_675(BRCA2)_18
0
—

chr13
32370401
32370557
427_15667_675(BRCA2)_19
0
—

chr13
32370955
32371100
427_15668_675(BRCA2)_20
0
—

chr18
51078255
51078467
474_158727_4089(SMAD4)_13
0
—

chr18
51077306
51077419
474_158726_4089(SMAD4)_12
0
—

chr18
51067018
51067187
474_158724_4089(SMAD4)_10
0
—

chr18
51065422
51065606
474_158723_4089(SMAD4)_9
0
—

chr18
51059865
51059916
474_158722_4089(SMAD4)_8
0
—

chr18
51058339
51058456
474_158721_4089(SMAD4)_7
0
—

chr18
51058124
51058244
474_158720_4089(SMAD4)_6
0
—

chr18
51054780
51054993
474_158719_4089(SMAD4)_5
0
—

chr18
51048685
51048860
474_158717_4089(SMAD4)_3
0
—

chr18
51047046
51047295
474_158716_4089(SMAD4)_2
0
—

chr18
51076637
51076776
474_158725_4089(SMAD4)_11
0
—

chr9
77922160
77922345
462_70176_2776(GNAQ)_2
0
—

chr13
32379316
32379515
427_15670_675(BRCA2)_22
0
—

chr11
108235669
108235834
427_14214_472(ATM)_8
0
—

chr6
152060990
152061124
461_58884_2099(ESR1)_10
0
—

chr6
152094384
152094568
461_58885_2099(ESR1)_11
0
—

chr13
32379749
32379913
427_15671_675(BRCA2)_23
0
—

chr13
32380006
32380145
427_15672_675(BRCA2)_24
0
—

chr13
32394688
32394933
427_15673_675(BRCA2)_25
0
—

chr13
32396897
32397044
427_15674_675(BRCA2)_26
0
—

chr13
32398161
32398770
427_15675_675(BRCA2)_27
0
—

chr2
29318303
29318404
426_1977_238(ALK)_8
0
—

chr1
26771118
26771326
426_4229_8289(ARID1A)_12a
0
—

chr1
26772499
26772632
426_4230_8289(ARID1A)_13a
0
—

chr1
26772811
26772987
426_4231_8289(ARID1A)_14a
0
—

chr1
26773579
26773717
426_4233_8289(ARID1A)_16a
0
—

chr1
26773801
26773898
426_4234_8289(ARID1A)_17a
0
—

chr13
28100467
28100510
461_60853_2322(FLT3)_2a
0
—

chr13
28061866
28062069
461_60855_2322(FLT3)_4a
0
—

chr13
28057346
28057462
461_60856_2322(FLT3)_5a
0
—

chr13
28052544
28052674
461_60857_2322(FLT3)_6a
0
—

chr13
28050094
28050222
461_60858_2322(FLT3)_7a
0
—

chr13
28049634
28049774
461_60859_2322(FLT3)_8a
0
—

chr13
28049383
28049537
461_60860_2322(FLT3)_9a
0
—

chr13
28048274
28048443
461_60861_2322(FLT3)_10a
0
—

chr13
28035934
28036043
461_60863_2322(FLT3)_12a
0
—

chr13
28035494
28035673
461_60864_2322(FLT3)_13a
0
—

chr13
28034300
28034407
461_60865_2322(FLT3)_14a
0
—

chr13
28034081
28034214
461_60866_2322(FLT3)_15a
0
—

chr13
28033886
28033991
461_60867_2322(FLT3)_16a
0
—

chr13
28028177
28028288
461_60868_2322(FLT3)_17a
0
—

chr13
28027087
28027241
461_60869_2322(FLT3)_18a
0
—

chr13
28023349
28023477
461_60871_2322(FLT3)_20a
0
—

chr13
28018466
28018589
461_60872_2322(FLT3)_21a
0
—

chr13
28015589
28015701
461_60873_2322(FLT3)_22a
0
—

chr13
28015156
28015256
461_60874_2322(FLT3)_23a
0
—

chr13
28014451
28014557
461_60875_2322(FLT3)_24a
0
—

chr17
43124016
43124096
427_15607_672(BRCA1)_2
0
—

chr17
43115725
43115779
427_15608_672(BRCA1)_3
0
—

chr17
43106455
43106533
427_15609_672(BRCA1)_4
0
—

chr17
43104867
43104956
427_15610_672(BRCA1)_5
0
—

chr17
43104121
43104261
427_15611_672(BRCA1)_6
0
—

chr17
43099774
43099880
427_15612_672(BRCA1)_7
0
—

chr17
43095845
43095922
427_15614_672(BRCA1)_9
0
—

chr17
43091434
43094860
427_15615_672(BRCA1)_10
0
—

chr17
43090943
43091032
427_15616_672(BRCA1)_11
0
—

chr17
43082403
43082575
427_15617_672(BRCA1)_12
0
—

chr17
43079333
43079399
427_15618_672(BRCA1)_13
0
—

chr17
43076487
43076614
427_15619_672(BRCA1)_14
0
—

chr17
43074330
43074521
427_15620_672(BRCA1)_15
0
—

chr17
43067607
43067695
427_15622_672(BRCA1)_17
0
—

chr17
43063873
43063951
427_15623_672(BRCA1)_18
0
—

chr17
43063332
43063373
427_15624_672(BRCA1)_19
0
—

chr17
43057051
43057135
427_15625_672(BRCA1)_20
0
—

chr17
43051062
43051117
427_15626_672(BRCA1)_21
0
—

chr17
43049120
43049194
427_15627_672(BRCA1)_22
0
—

chr17
43047642
43047703
427_15628_672(BRCA1)_23
0
—

chr7
140924565
140924756
427_15630_673(BRAF)_1
0
—

chr7
140850110
140850212
427_15631_673(BRAF)_2
0
—

chr7
140834608
140834872
427_15632_673(BRAF)_3
0
—

chr7
140808891
140808995
427_15633_673(BRAF)_4
0
—

chr7
140807959
140808062
427_15634_673(BRAF)_5
0
—

chr13
28004051
28004174
461_60876_2322(FLT3)_25a
0
—

chr2
211657753
211657828
461_58788_2066(ERBB4)_17a
0
—

chr11
108365081
108365218
427_14272_472(ATM)_66
0
—

chr11
108365324
108365508
427_14273_472(ATM)_67
0
—

chr2
211630461
211630594
461_58789_2066(ERBB4)_18a
0
—

chr12
56080300
56080382
461_58650_2065(ERBB3)_1a
0
—

chr12
56083750
56083902
461_58651_2065(ERBB3)_2a
0
—

chr12
56084994
56085617
461_58652_2065(ERBB3)_3a
0
—

chr12
56086530
56086656
461_58653_2065(ERBB3)_4a
0
—

chr12
56087576
56087642
461_58654_2065(ERBB3)_5a
0
—

chr12
56088020
56088162
461_58656_2065(ERBB3)_7a
0
—

chr12
56088542
56088656
461_58657_2065(ERBB3)_8a
0
—

chr12
56088747
56088868
461_58658_2065(ERBB3)_9a
0
—

chr12
56092746
56092820
461_58659_2065(ERBB3)_10a
0
—

chr12
56092985
56093076
461_58660_2065(ERBB3)_11a
0
—

chr12
56093344
56093550
461_58755_2065(ERBB3)_12a
0
—

chr7
55019277
55019365
431_48541_1956(EGFR)_1
0
—

chr7
55109722
55109958
431_48542_1956(EGFR)_2
0
—

chr7
55142285
55142437
431_48543_1956(EGFR)_3
0
—

chr7
55146605
55146740
431_48545_1956(EGFR)_5
0
—

chr7
55151293
55151362
431_48546_1956(EGFR)_6
0
—

chr7
55152545
55152664
431_48547_1956(EGFR)_7
0
—

chr7
55154010
55154152
431_48548_1956(EGFR)_8
0
—

chr7
55155829
55155946
431_48549_1956(EGFR)_9
0
—

chr7
55156532
55156659
431_48550_1956(EGFR)_10
0
—

chr7
55156758
55156951
431_48551_1956(EGFR)_11
0
—

chr7
55160138
55160338
431_48553_1956(EGFR)_13
0
—

chr7
55161498
55161631
431_48554_1956(EGFR)_14
0
—

chr7
55163732
55163823
431_48555_1956(EGFR)_15
0
—

chr1
162741585
162741712
431_48985_4921(DDR2)_7a
0
—

chr1
162767228
162767359
431_48993_4921(DDR2)_15a
0
—

chr1
162780111
162780246
431_49000_4921(DDR2)_22a
0
—

chr1
162711291
162711300
431_48982_4921(DDR2)_4a
0
—

chr1
162719036
162719145
431_48983_4921(DDR2)_5a
0
—

chr1
162719190
162719214
431_48984_4921(DDR2)_6a
0
—

chr1
162753094
162753197
431_48986_4921(DDR2)_8a
0
—

chr1
162754623
162754855
431_48987_4921(DDR2)_9a
0
—

chr1
162755155
162755303
431_48988_4921(DDR2)_10a
0
—

chr1
162755663
162755769
431_48989_4921(DDR2)_11a
0
—

chr1
162759795
162759979
431_48990_4921(DDR2)_12a
0
—

chr1
162761210
162761454
431_48991_4921(DDR2)_13a
0
—

chr1
162766000
162766063
431_48992_4921(DDR2)_14a
0
—

chr1
162770301
162770512
431_48994_4921(DDR2)_16a
0
—

chr1
162772023
162772247
431_48995_4921(DDR2)_17a
0
—

chr1
162773468
162773596
431_48996_4921(DDR2)_18a
0
—

chr1
162775651
162775843
431_48997_4921(DDR2)_19a
0
—

chr1
162776135
162776370
431_48998_4921(DDR2)_20a
0
—

chr1
162778579
162778729
431_48999_4921(DDR2)_21a
0
—

chr3
41225333
41225572
429_36859_1499(CTNNB1)_10
0
—

chr3
41236587
41236709
429_36867_1499(CTNNB1)_18
0
—

chr3
41224068
41224081
429_36856_1499(CTNNB1)_7
0
—

chr3
41224525
41224753
429_36857_1499(CTNNB1)_8
0
—

chr3
41224953
41225207
429_36858_1499(CTNNB1)_9
0
—

chr12
25245273
25245395
464_89186_3845(KRAS)_2
0
—

chr12
25227233
25227412
464_89187_3845(KRAS)_3
0
—

chr12
25225613
25225773
464_89188_3845(KRAS)_4
0
—

chr3
41225659
41225861
429_36860_1499(CTNNB1)_11
0
—

chr3
41227207
41227352
429_36861_1499(CTNNB1)_12
0
—

chr3
41233340
41233444
429_36862_1499(CTNNB1)_13
0
—

chr3
41233528
41233867
429_36863_1499(CTNNB1)_14
0
—

chr3
41234138
41234297
429_36864_1499(CTNNB1)_15
0
—

chr12
25215149
25215560
464_89189_3845(KRAS)_5
0
—

chr12
25209510
25209911
464_89190_3845(KRAS)_6
0
—

chr3
41235723
41235843
429_36865_1499(CTNNB1)_16
0
—

chr3
41236348
41236499
429_36866_1499(CTNNB1)_17
0
—

chr3
41238015
41238076
429_36868_1499(CTNNB1)_19
0
—

chr3
41239133
41239342
429_36869_1499(CTNNB1)_20
0
—

chr5
150073300
150073493
429_36458_1436(CSF1R)_7a
0
—

chr5
150059699
150059862
429_36466_1436(CSF1R)_15a
0
—

chr9
21971328
21971400
428_25765_1029(CDKN2A)_4a
0
—

chr9
21994138
21994454
428_25762_1029(CDKN2A)_1a
0
—

chr9
21991594
21992480
428_25763_1029(CDKN2A)_2a
0
—

chr9
21974403
21975133
428_25764_1029(CDKN2A)_3a
0
—

chr9
21970901
21971208
428_25766_1029(CDKN2A)_5a
0
—

chr9
21968469
21968771
428_25767_1029(CDKN2A)_6a
0
—

chr9
21968228
21968242
428_25768_1029(CDKN2A)_7a
0
—

chr12
12717839
12718314
428_25760_1027(CDKN1B)_1a
0
—

chr12
12718824
12718946
428_25761_1027(CDKN1B)_2a
0
—

chr12
112419111
112419125
472_140049_5781(PTPN11)_1a
0
—

chr12
112450317
112450512
472_140051_5781(PTPN11)_3a
0
—

chr12
112453194
112453387
472_140052_5781(PTPN11)_4a
0
—

chr12
112454563
112454680
472_140053_5781(PTPN11)_5a
0
—

chr12
112455949
112456063
472_140054_5781(PTPN11)_6a
0
—

chr12
112472943
112473040
472_140055_5781(PTPN11)_7a
0
—

chr12
112477650
112477730
472_140056_5781(PTPN11)_8a
0
—

chr12
112477856
112478015
472_140057_5781(PTPN11)_9a
0
—

chr12
112486474
112486923
472_140059_5781(PTPN11)_11a
0
—

chr12
112488442
112488510
472_140060_5781(PTPN11)_12a
0
—

chr12
112489023
112489175
472_140061_5781(PTPN11)_13a
0
—

chr12
112502143
112502256
472_140062_5781(PTPN11)_14a
0
—

chr12
112504694
112504764
472_140063_5781(PTPN11)_15a
0
—

chr10
87864468
87864547
472_139786_5728(PTEN)_1
0
—

chr10
87894024
87894109
472_139787_5728(PTEN)_2
0
—

chr10
87925512
87925557
472_139788_5728(PTEN)_3
0
—

chr10
87931045
87931089
472_139789_5728(PTEN)_4
0
—

chr10
87933012
87933251
472_139790_5728(PTEN)_5
0
—

chr10
87957852
87958019
472_139792_5728(PTEN)_7
0
—

chr10
87960893
87961118
472_139793_5728(PTEN)_8
0
—

chr10
87965286
87965472
472_139794_5728(PTEN)_9
0
—

chr1
11259247
11259415
466_105881_2475(MTOR)_20
0
—

chr1
11256932
11257165
466_105883_2475(MTOR)_4a
0
—

chr1
11256284
11256302
466_105884_2475(MTOR)_5a
0
—

chr1
11255991
11256192
466_105885_2475(MTOR)_6a
0
—

chr1
11253838
11253973
466_105886_2475(MTOR)_7a
0
—

chr1
11247818
11248094
466_105887_2475(MTOR)_8a
0
—

chr1
11247624
11247733
466_105888_2475(MTOR)_9a
0
—

chr1
11241552
11241681
466_105890_2475(MTOR)_11a
0
—

chr1
11240302
11240547
466_105891_2475(MTOR)_12a
0
—

chr1
11238401
11238617
466_105892_2475(MTOR)_13a
0
—

chr7
152224014
152224179
464_94983_58508(KMT2C)_20
0
—

chr7
152222000
152222066
464_94985_58508(KMT2C)_22
0
—

chr1
11237842
11238048
466_105893_2475(MTOR)_14a
0
—

chr1
11234142
11234265
466_105894_2475(MTOR)_15a
0
—

chr7
152220522
152220735
464_94986_58508(KMT2C)_23
0
—

chr1
11233397
11233487
466_105895_2475(MTOR)_16a
0
—

chr1
11232435
11232528
466_105896_2475(MTOR)_17a
0
—

chr1
11230924
11231054
466_105898_2475(MTOR)_19a
0
—

chr1
11228667
11228918
466_105899_2475(MTOR)_20a
0
—

chr1
11216147
11216234
466_105900_2475(MTOR)_21a
0
—

chr1
11213398
11213566
466_105901_2475(MTOR)_22a
0
—

chr1
11212795
11212908
466_105902_2475(MTOR)_23a
0
—

chr1
11212311
11212474
466_105903_2475(MTOR)_24a
0
—

chr7
152207299
152207428
464_94987_58508(KMT2C)_24
0
—

chr1
11210813
11210906
466_105904_2475(MTOR)_25a
0
—

chr1
11204560
11204703
466_105906_2475(MTOR)_27a
0
—

chr1
11199540
11199703
466_105907_2475(MTOR)_28a
0
—

chr1
11199257
11199403
466_105908_2475(MTOR)_29a
0
—

chr7
152205105
152205225
464_94988_58508(KMT2C)_25
0
—

chr7
152202933
152203064
464_94989_58508(KMT2C)_26
0
—

chr7
152199278
152199459
464_94990_58508(KMT2C)_27
0
—

chr7
152195906
152196011
464_94991_58508(KMT2C)_28
0
—

chr7
152195521
152195569
464_94992_58508(KMT2C)_29
0
—

chr7
152194228
152194261
464_94994_58508(KMT2C)_31
0
—

chr7
152194008
152194128
464_94995_58508(KMT2C)_32
0
—

chr7
152187714
152187847
464_94996_58508(KMT2C)_33
0
—

chr7
152187261
152187476
464_94997_58508(KMT2C)_34
0
—

chr7
152185557
152185631
464_94998_58508(KMT2C)_35
0
—

chr7
152182973
152183156
464_94999_58508(KMT2C)_36
0
—

chr1
11167441
11167517
466_105909_2475(MTOR)_30a
0
—

chr1
11157151
11157291
466_105910_2475(MTOR)_31a
0
—

chr1
11150125
11150226
466_105911_2475(MTOR)_32a
0
—

chr1
11144967
11145045
466_105913_2475(MTOR)_34a
0
—

chr1
11144647
11144755
466_105914_2475(MTOR)_35a
0
—

chr1
11139528
11139658
466_105915_2475(MTOR)_36a
0
—

chr1
11139303
11139435
466_105916_2475(MTOR)_37a
0
—

chr1
11134350
11134466
466_105917_2475(MTOR)_38a
0
—

chr1
11133079
11133197
466_105918_2475(MTOR)_39a
0
—

chr1
11130528
11130777
466_105919_2475(MTOR)_40a
0
—

chr1
11128854
11128951
466_105921_2475(MTOR)_42a
0
—

chr1
11128453
11128552
466_105922_2475(MTOR)_43a
0
—

chr1
11128003
11128126
466_105923_2475(MTOR)_44a
0
—

chr1
11127623
11127806
466_105924_2475(MTOR)_45a
0
—

chr1
11127009
11127144
466_105925_2475(MTOR)_46a
0
—

chr1
11126621
11126796
466_105926_2475(MTOR)_47a
0
—

chr1
11124497
11124633
466_105927_2475(MTOR)_48a
0
—

chr1
11121245
11121368
466_105929_2475(MTOR)_50a
0
—

chr1
11117003
11117086
466_105930_2475(MTOR)_51a
0
—

chr5
56820391
56820816
465_99619_4214(MAP3K1)_3a
0
—

chr5
56872824
56873005
465_99627_4214(MAP3K1)_11a
0
—

chr5
56885931
56886063
465_99635_4214(MAP3K1)_19a
0
—

chr5
56815573
56816055
465_99617_4214(MAP3K1)_1a
0
—

chr5
56817055
56817116
465_99618_4214(MAP3K1)_2a
0
—

chr5
56856599
56856750
465_99620_4214(MAP3K1)_4a
0
—

chr5
56859714
56859915
465_99621_4214(MAP3K1)_5a
0
—

chr5
56864733
56864934
465_99622_4214(MAP3K1)_6a
0
—

chr5
56865339
56865456
465_99623_4214(MAP3K1)_7a
0
—

chr5
56865828
56865977
465_99624_4214(MAP3K1)_8a
0
—

chr5
56871909
56872031
465_99625_4214(MAP3K1)_9a
0
—

chr5
56872640
56872722
465_99626_4214(MAP3K1)_10a
0
—

chr5
56875031
56875310
465_99628_4214(MAP3K1)_12a
0
—

chr5
56878979
56879101
465_99629_4214(MAP3K1)_13a
0
—

chr5
56880710
56880802
465_99630_4214(MAP3K1)_14a
0
—

chr5
56881082
56881272
465_99631_4214(MAP3K1)_15a
0
—

chr5
56881569
56882866
465_99632_4214(MAP3K1)_16a
0
—

chr5
56883526
56883679
465_99633_4214(MAP3K1)_17a
0
—

chr17
12020886
12021001
465_99947_6416(MAP2K4)_1
0
—

chr17
12032265
12032298
465_99948_6416(MAP2K4)_2
0
—

chr17
12054888
12054991
465_99949_6416(MAP2K4)_3
0
—

chr12
120978768
120979094
463_81838_6927(HNF1A)_1
0
—

chr12
120999267
120999627
463_81845_6927(HNF1A)_8
0
—

chr17
12069723
12069849
465_99950_6416(MAP2K4)_4
0
—

chr17
12081355
12081530
465_99951_6416(MAP2K4)_5
0
—

chr17
12095574
12095694
465_99952_6416(MAP2K4)_6
0
—

chr17
12107789
12107909
465_99953_6416(MAP2K4)_7
0
—

chr17
12113232
12113360
465_99955_6416(MAP2K4)_9
0
—

chr17
12125293
12125371
465_99956_6416(MAP2K4)_10
0
—

chr17
12129138
12129287
465_99957_6416(MAP2K4)_11
0
—

chr17
12139838
12139884
465_99958_6416(MAP2K4)_12
0
—

chr17
12141146
12141260
465_99959_6416(MAP2K4)_13
0
—

chr20
56382984
56383176
427_16076_6790(AURKA)_7a
0
—

chr20
56388155
56388197
427_16073_6790(AURKA)_4a
0
—

chr20
56386256
56386533
427_16074_6790(AURKA)_5a
0
—

chr20
56384269
56384324
427_16075_6790(AURKA)_6a
0
—

chr20
56381432
56381571
427_16077_6790(AURKA)_8a
0
—

chr20
56373407
56373556
427_16078_6790(AURKA)_9a
0
—

chr20
56370484
56370659
427_16079_6790(AURKA)_10a
0
—

chr20
56370157
56370340
427_16080_6790(AURKA)_11a
0
—

chr3
142578645
142578704
427_14853_545(ATR)_1
0
—

chr3
142568062
142568154
427_14854_545(ATR)_2
0
—

chr3
142566120
142566261
427_14855_545(ATR)_3
0
—

chr3
142562231
142563109
427_14856_545(ATR)_4
0
—

chr3
142561242
142561421
427_14857_545(ATR)_5
0
—

chr3
142560262
142560454
427_14858_545(ATR)_6
0
—

chr3
142558623
142558776
427_14860_545(ATR)_8
0
—

chr3
142556382
142556575
427_14861_545(ATR)_9
0
—

chr20
58852980
58855333
462_70271_2778(GNAS)_3
0
—

chr20
58905382
58905480
462_70279_2778(GNAS)_11
0
—

chr20
58840106
58840886
462_70269_2778(GNAS)_1
0
—

chr3
142555876
142556139
427_14862_545(ATR)_10
0
—

chr3
142553824
142554015
427_14863_545(ATR)_11
0
—

chr3
142553639
142553740
427_14864_545(ATR)_12
0
—

chr3
142553226
142553398
427_14865_545(ATR)_13
0
—

chr3
142549478
142549673
427_14867_545(ATR)_15
0
—

chr3
142547724
142547910
427_14868_545(ATR)_16
0
—

chr3
142542664
142542757
427_14869_545(ATR)_17
0
—

chr3
142540903
142541034
427_14870_545(ATR)_18
0
—

chr3
142536107
142536201
427_14872_545(ATR)_20
0
—

chr3
142535079
142535205
427_14873_545(ATR)_21
0
—

chr3
142523992
142524199
427_14874_545(ATR)_22
0
—

chr3
142522727
142522841
427_14875_545(ATR)_23
0
—

chr3
142519668
142519784
427_14876_545(ATR)_24
0
—

chr3
142515394
142515515
427_14877_545(ATR)_25
0
—

chr3
142512259
142512470
427_14879_545(ATR)_27
0
—

chr3
142507930
142508109
427_14880_545(ATR)_28
0
—

chr3
142505138
142505303
427_14881_545(ATR)_29
0
—

chr3
142503361
142503453
427_14882_545(ATR)_30
0
—

chr3
142499626
142499718
427_14883_545(ATR)_31
0
—

chr3
142498596
142498774
427_14884_545(ATR)_32
0
—

chr20
58841342
58841875
462_70270_2778(GNAS)_2
0
—

chr20
58889124
58889353
462_70272_2778(GNAS)_4
0
—

chr20
58891370
58891865
462_70273_2778(GNAS)_5
0
—

chr20
58892109
58892209
462_70274_2778(GNAS)_6
0
—

chr20
58895611
58895684
462_70275_2778(GNAS)_7
0
—

chr20
58898940
58898985
462_70276_2778(GNAS)_8
0
—

chr20
58903527
58903585
462_70277_2778(GNAS)_9
0
—

chr20
58903671
58903791
462_70278_2778(GNAS)_10
0
—

chr3
142497012
142497192
427_14885_545(ATR)_33
0
—

chr3
142493131
142493311
427_14887_545(ATR)_35
0
—

chr3
142485139
142485282
427_14888_545(ATR)_36
0
—

chr3
142470085
142470183
427_14889_545(ATR)_37
0
—

chr3
142469336
142469569
427_14890_545(ATR)_38
0
—

chr3
142467933
142468068
427_14891_545(ATR)_39
0
—

chr3
142466323
142466533
427_14892_545(ATR)_40
0
—

chr3
142465096
142465240
427_14893_545(ATR)_41
0
—

chr3
142459226
142459383
427_14895_545(ATR)_43
0
—

chr3
142458957
142459111
427_14896_545(ATR)_44
0
—

chr3
142457603
142457755
427_14897_545(ATR)_45
0
—

chr3
142450465
142453233
427_14898_545(ATR)_46
0
—

chr20
58909161
58909216
462_70280_2778(GNAS)_12
0
—

chr20
58909349
58909423
462_70281_2778(GNAS)_13
0
—

chr20
58909520
58909579
462_70282_2778(GNAS)_14
0
—

chr20
58909683
58909804
462_70283_2778(GNAS)_15
0
—

chr20
58909950
58910081
462_70284_2778(GNAS)_16
0
—

chr20
58910333
58910401
462_70285_2778(GNAS)_17
0
—

chr20
58910682
58910829
462_70286_2778(GNAS)_18
0
—

chr3
142449428
142449602
427_14899_545(ATR)_47
0
—

chr9
78031099
78031235
462_70175_2776(GNAQ)_1
0
—

chr11
108251836
108252031
427_14221_472(ATM)_15
0
—

chr9
77815615
77815770
462_70177_2776(GNAQ)_3
0
—

chr9
77797519
77797648
462_70178_2776(GNAQ)_4
0
—

chr9
77794462
77794592
462_70179_2776(GNAQ)_5
0
—

chr9
77728513
77728667
462_70180_2776(GNAQ)_6
0
—

chr9
77721322
77721513
462_70181_2776(GNAQ)_7
0
—

chr19
3114943
3115072
462_70070_2767(GNA11)_4
0
—

chr11
108268409
108268609
427_14228_472(ATM)_22
0
—

chr11
108293312
108293477
427_14241_472(ATM)_35
0
—

chr11
108310159
108310315
427_14249_472(ATM)_43
0
—

chr11
108325309
108325544
427_14256_472(ATM)_50
0
—

chr11
108333885
108333968
427_14264_472(ATM)_58
0
—

chr11
108354810
108354874
427_14271_472(ATM)_65
0
—

chr19
17841388
17841546
463_81750_3718(JAK3)_8a
0
—

chr19
17834851
17835003
463_81758_3718(JAK3)_16a
0
—

chr19
17826742
17826910
463_81766_3718(JAK3)_24a
0
—

chr2
212538448
212538530
461_58772_2066(ERBB4)_1a
0
—

chr2
211947429
211947616
461_58774_2066(ERBB4)_3a
0
—

chr2
211788024
211788159
461_58775_2066(ERBB4)_4a
0
—

chr2
211750638
211750704
461_58776_2066(ERBB4)_5a
0
—

chr2
211725075
211725194
461_58777_2066(ERBB4)_6a
0
—

chr2
211722392
211722534
461_58778_2066(ERBB4)_7a
0
—

chr2
211713534
211713648
461_58779_2066(ERBB4)_8a
0
—

chr2
211712049
211712176
461_58780_2066(ERBB4)_9a
0
—

chr2
211705317
211705391
461_58781_2066(ERBB4)_10a
0
—

chr2
211701966
211702166
461_58783_2066(ERBB4)_12a
0
—

chr2
211679051
211679184
461_58784_2066(ERBB4)_13a
0
—

chr2
211673163
211673257
461_58785_2066(ERBB4)_14a
0
—

chr2
211665322
211665477
461_58786_2066(ERBB4)_15a
0
—

chr2
211657949
211657994
461_58787_2066(ERBB4)_16a
0
—

chr12
56093763
56093896
461_58756_2065(ERBB3)_13a
0
—

chr12
56094401
56094556
461_58758_2065(ERBB3)_15a
0
—

chr12
56095256
56095310
461_58759_2065(ERBB3)_16a
0
—

chr12
56095664
56095806
461_58760_2065(ERBB3)_17a
0
—

chr12
56096502
56096622
461_58761_2065(ERBB3)_18a
0
—

chr12
56096747
56096846
461_58762_2065(ERBB3)_19a
0
—

chr12
56097044
56097230
461_58763_2065(ERBB3)_20a
0
—

chr12
56097784
56097940
461_58764_2065(ERBB3)_21a
0
—

chr12
56098758
56098905
461_58766_2065(ERBB3)_23a
0
—

chr7
55165279
55165437
431_48556_1956(EGFR)_16
0
—

chr7
55170306
55171045
431_48558_1956(EGFR)_18
0
—

chr7
55171174
55171213
431_48559_1956(EGFR)_19
0
—

chr7
55172845
55172957
431_48560_1956(EGFR)_20
0
—

chr7
55172982
55173124
431_48561_1956(EGFR)_21
0
—

chr7
55173920
55174043
431_48562_1956(EGFR)_22
0
—

chr7
55174721
55174820
431_48563_1956(EGFR)_23
0
—

chr7
55181292
55181478
431_48564_1956(EGFR)_24
0
—

chr7
55192765
55192841
431_48566_1956(EGFR)_26
0
—

chr7
55198716
55198863
431_48567_1956(EGFR)_27
0
—

chr7
55200315
55200413
431_48568_1956(EGFR)_28
0
—

chr7
55201187
55201355
431_48569_1956(EGFR)_29
0
—

chr7
55201734
55201782
431_48570_1956(EGFR)_30
0
—

chr7
55202516
55202625
431_48571_1956(EGFR)_31
0
—

chr7
55205255
55205617
431_48572_1956(EGFR)_32
0
—

chr12
112446275
112446398
472_140050_5781(PTPN11)_2a
0
—

chr12
112482073
112482205
472_140058_5781(PTPN11)_10a
0
—

chr10
87952117
87952259
472_139791_5728(PTEN)_6
0
—

chr1
11115395
11115468
466_105931_2475(MTOR)_52a
0
—

chr1
11114812
11114887
466_105932_2475(MTOR)_53a
0
—

chr1
11114317
11114453
466_105933_2475(MTOR)_54a
0
—

chr1
11112851
11112917
466_105934_2475(MTOR)_55a
0
—

chr1
11109289
11109370
466_105936_2475(MTOR)_57a
0
—

chr1
11108180
11108286
466_105937_2475(MTOR)_58a
0
—

chr1
11106604
11107500
466_105938_2475(MTOR)_59a
0
—

chr19
3094651
3094787
462_70067_2767(GNA11)_1
0
—

chr19
3110148
3110333
462_70068_2767(GNA11)_2
0
—

chr19
3113329
3113484
462_70069_2767(GNA11)_3
0
—

chr19
3118923
3119053
462_70071_2767(GNA11)_5
0
—

chr11
108227624
108227696
427_14211_472(ATM)_5
0
—

chr11
108227775
108227888
427_14212_472(ATM)_6
0
—

chr19
3119205
3119359
462_70072_2767(GNA11)_6
0
—

chr19
3120988
3121179
462_70073_2767(GNA11)_7
0
—

chr11
108229177
108229323
427_14213_472(ATM)_7
0
—

chr11
108243952
108244118
427_14215_472(ATM)_9
0
—

chr11
108244787
108245026
427_14216_472(ATM)_10
0
—

chr11
108246543
108246560
427_14217_472(ATM)_11
0
—

chr11
108246963
108247127
427_14218_472(ATM)_12
0
—

chr11
108248932
108249102
427_14219_472(ATM)_13
0
—

chr11
108250700
108251072
427_14220_472(ATM)_14
0
—

chr11
108252816
108252912
427_14222_472(ATM)_16
0
—

chr11
108253813
108254039
427_14223_472(ATM)_17
0
—

chr11
108256214
108256340
427_14224_472(ATM)_18
0
—

chr11
108257480
108257606
427_14225_472(ATM)_19
0
—

chr11
108258985
108259075
427_14226_472(ATM)_20
0
—

chr11
108267170
108267342
427_14227_472(ATM)_21
0
—

chr11
108271063
108271146
427_14229_472(ATM)_23
0
—

chr11
108271250
108271406
427_14230_472(ATM)_24
0
—

chr11
108272531
108272607
427_14231_472(ATM)_25
0
—

chr11
108272721
108272852
427_14232_472(ATM)_26
0
—

chr11
108279490
108279608
427_14233_472(ATM)_27
0
—

chr11
108280994
108281168
427_14234_472(ATM)_28
0
—

chr11
108282709
108282879
427_14235_472(ATM)_29
0
—

chr11
108284226
108284473
427_14236_472(ATM)_30
0
—

chr11
108287599
108287715
427_14237_472(ATM)_31
0
—

chr11
108288976
108289103
427_14238_472(ATM)_32
0
—

chr11
108289601
108289801
427_14239_472(ATM)_33
0
—

chr11
108292618
108292793
427_14240_472(ATM)_34
0
—

chr11
108294926
108295059
427_14242_472(ATM)_36
0
—

chr11
108297286
108297382
427_14243_472(ATM)_37
0
—

chr11
108299713
108299885
427_14244_472(ATM)_38
0
—

chr11
108301647
108301789
427_14245_472(ATM)_39
0
—

chr11
108302852
108303029
427_14246_472(ATM)_40
0
—

chr11
108304674
108304852
427_14247_472(ATM)_41
0
—

chr11
108307896
108307984
427_14248_472(ATM)_42
0
—

chr11
108312410
108312498
427_14250_472(ATM)_44
0
—

chr11
108315822
108315911
427_14251_472(ATM)_45
0
—

chr11
108316010
108316113
427_14252_472(ATM)_46
0
—

chr11
108317372
108317521
427_14253_472(ATM)_47
0
—

chr11
108319953
108320058
427_14254_472(ATM)_48
0
—

chr11
108321300
108321420
427_14255_472(ATM)_49
0
—

chr11
108326057
108326225
427_14257_472(ATM)_51
0
—

chr11
108327644
108327758
427_14258_472(ATM)_52
0
—

chr11
108329020
108329238
427_14259_472(ATM)_53
0
—

chr11
108330213
108330421
427_14260_472(ATM)_54
0
—

chr11
108331443
108331557
427_14261_472(ATM)_55
0
—

chr11
108331878
108332037
427_14262_472(ATM)_56
0
—

chr11
108332761
108332900
427_14263_472(ATM)_57
0
—

chr11
108334968
108335109
427_14265_472(ATM)_59
0
—

chr11
108335844
108335961
427_14266_472(ATM)_60
0
—

chr11
108343221
108343371
427_14267_472(ATM)_61
0
—

chr11
108345742
108345908
427_14268_472(ATM)_62
0
—

chr11
108347278
108347365
427_14269_472(ATM)_63
0
—

chr11
108353765
108353880
427_14270_472(ATM)_64
0
—

chr7
55143304
55143488
431_48544_1956(EGFR)_4
0
—

chr7
55157662
55157753
431_48552_1956(EGFR)_12
0
—

chr7
55168522
55168635
431_48557_1956(EGFR)_17
0
—

chr7
55191718
55191874
431_48565_1956(EGFR)_25
0
—

chr5
150086378
150086427
429_36453_1436(CSF1R)_2a
0
—

chr5
150080766
150081024
429_36454_1436(CSF1R)_3a
0
—

chr5
150080051
150080336
429_36455_1436(CSF1R)_4a
0
—

chr5
150078111
150078248
429_36456_1436(CSF1R)_5a
0
—

chr5
150077275
150077435
429_36457_1436(CSF1R)_6a
0
—

chr5
150070455
150070571
429_36459_1436(CSF1R)_8a
0
—

chr5
150070181
150070302
429_36460_1436(CSF1R)_9a
0
—

chr5
150069872
150070063
429_36461_1436(CSF1R)_10a
0
—

chr5
150068214
150068330
429_36462_1436(CSF1R)_11a
0
—

chr5
150061722
150061849
429_36463_1436(CSF1R)_12a
0
—

chr5
150061490
150061595
429_36464_1436(CSF1R)_13a
0
—

chr5
150060861
150060972
429_36465_1436(CSF1R)_14a
0
—

chr5
150057503
150057592
429_36467_1436(CSF1R)_16a
0
—

chr5
150057286
150057384
429_36468_1436(CSF1R)_17a
0
—

chr5
150056218
150056341
429_36469_1436(CSF1R)_18a
0
—

chr5
150056025
150056137
429_36470_1436(CSF1R)_19a
0
—

chr5
150055236
150055336
429_36471_1436(CSF1R)_20a
0
—

chr5
150054321
150054430
429_36472_1436(CSF1R)_21a
0
—

chr5
150054068
150054224
429_36473_1436(CSF1R)_22a
0
—

Supplementary Data 3

SEQ

ID
Sequence

NO
Name
Sequence

1
632327_266823
TGGCATTAGGGACCCCAAATCCAGGTCTGCTCCCAGTGCCATAGGAA

54_Target2.1_1
GCAACCAGCCCCCAACCCCCACCTGCTCTTGGGAGCTGGCCCACAC

CAGAAATGGACTGAGTAGACATGAGAA

2
632327_266823
CTGACCCCAGCTTCCACCAATGCCGTTAAGATGCCGCCACTTGGGTG

54_Target2.1_2
AGGGGCTCCTCCAGGTACTGCACCAAAGCCTGGGCCTGCAGAGGGA

GAACAGAGATCAGTCCCGCACACAGCC

3
632327_266823
CCAAGACACATGACAGGAGTTGAAGTTTATTCTTGGAAAAAACAAAGT

54_Target2.1_3
CCCATCCTCCCCCCATTGTCTAAGAAGGTTCTTCTAGGAGGCCCCGC

CCCTCCAAATGGTCATTTCTCTTTT

4
632327_266823
CTACTTTCTTGGATGGGAGGAATCAGAGAAGATAGGAAGAAGCAGGC

54_Target2.1_4
ATCGCTTCTAGGATTCCTCATGTTCTGCAAGGATGGACTTCTACCCAC

CCCTTCACCATGACCTTCTGCGAAC

5
632327_266823
AATGGTTCTTGGCAGTTACGCCAAATAGTCCTTGTCCTCACCAATGG

54_Target2.1_5
CATGACCTCACCTAGACCCTGCTGCTCAGAACAGAGTCTTACCCACC

TCATAGGCAAAACTGGGAGTGAGCTC

6
632327_266823
AGACCCTCTCAAAAAAATAAAAGGCACGCACGCCCCCAAACCTGAAA

54_Target2.1_6
TGATAGACACTAACCTCTCAGGGCCTTTATATTCTCTGTGCAACACAA

CCCCCACCAGACCCTTGCACCTCT

7
632327_266823
TGTGTAAGCACATAAACACCTGGAAGAAGAAGAAAGGGATAGCTTGT

55_Target2.2_1
TCTAGGCTGTTAGGGGCACCCTCCCAACCCCAAGAATAGAAAAGGCA

CTCACTGGCCAGTCGAAGTGGTTCAT

8
632327_266823
GTGTTTATGTGCTTACACAGACCCTCCCCAGATCTTGAAGCCCTTTGT

55_Target2.2_2
AGACAAGAGGCCTTTGCTGTGAGGCCTCAGGTCCTGTACAGGGAGT

AGAAGTAACCCAGACCTCCCAAAGGC

9
632327_266823
ACCCAGACCTCCCAAAGGCCTTCATCTCCAGACCCTGCTCCTACACT

55_Target2.2_3
CAGACCACTCACCCCAGCTGTCTGTTTCTGCCCCAGGTCTCTGCCTA

CCCAATATCCTTAAAGCAGGTCTGTA

10
632327_266823
TCCTTAAAGCAGGTCTGTATAGGGAGCTACCAGCCCCCTTCCCCAGT

55_Target2.2_4
GCCATATAAAGGAACCCATCCCAGAGAAGTGGGTAGGTTTCGAGTCC

CAGCTCCACCCAAGATGAGAAACACT

11
632327_266823
ACCCAAGATGAGAAACACTGCCCATCCCAGGCCCTGGGCTGTCAAG

55_Target2.2_5
GAAGGGCAGAAGTTACTGTGGCCATGATACTCCCACAGCTCTGCATT

GCAGGAGGGTGACTGGTGTTCTATCAG

12
632327_266823
GTGACTGGTGTTCTATCAGCCCCTGGTCTAATATCCCTTACTCTGGTT

55_Target2.2_6
CCCCCAGTGTACCCCCCTACCAGCTCTGAAGGAAAAGCAGGCCAAG

TGGGTTTCTTCCTTTTTTTTTTTTTT

13
632327_266823
CACTGAGGGCTGAGTGTGCATTGCTGGGCTTCTGGAATCTGTGGTGA

56_Target2.3_1
GGGCCGGTCCCCCAACTAATGAGCAAGAAATAGCCCCTCAGAAACC

CACTTGAGGCCAGGCGCGGTGGCTCAC

14
632327_266823
GTGGGCTGTCTCTGAAGGTGGTGTGGGTTTTTGGGTTGGGGGCGGGT

56_Target2.3_2
GGAGCTGCTTCTCCCGCTTGCGGGAGCCCAGGCTGAGAGCAGACAC

CCAACCTGTCGAACCTGTCTGACGTCA

15
632327_266823
TCATCATCTCTCCACCCACCTGGGCCCCAGGTCTCCAGCCACCCCG

56_Target2.3_3
CTCTTCCTGTTCTCAGCTTCCGTCCTCTCTGCTTCCTTACAGCACCCC

CACCTGCCAGAGCTGATCCTCCCTAG

16
632327_266823
GCTCAATGCCCTCAACCCTCAGCTCTCAAAAGATCTGGTCCTGCCCC

56_Target2.3_4
TCCTCTCATTGGGGGTAAGGGGACTTCTGCAGCCAGAGGGATTGGG

GGCCAACTCAAGGTTAGGCAGGGCCTA

17
632327_266823
GAACCCAACTCACCCTTGAAGACAAAGTTATAATCTTCCTCAGTTCCA

56_Target2.3_5
TTCCCCATCTTGGCTCCGCATGGAGGGTGCAGGTGTCTTCGGGGAC

AGAGGCGACAAATCTGTGTGTTGGCT

18
632327_266823
TTCTGAAGGAATGAGGAGCCCCAGGAGGTCTTGGTAAGAGATAAAAA

56_Target2.3_6
AACAGGAGGGGGCCCTCTCTGGCTCTATTCAATCTCTTTCTGGGTCT

CTCAGGCTTCCTCTTGCTTCAGGGAA

19
632327_266823
TAACTCAGCACTCTTAAGGAGGAATCAACATCATTATTTACCACAGTA

56_Target2.3_7
GAGCATACTCAGAAGCTCCCTGACTTTTGCCCCTGCAACCAGACCCT

CCCCCACTCCCTGCAGCTTTCTTTC

20
632327_266823
TTAGGCTCCTCTGCCCCGTTCCTAATAGAAACCCAAATCCCTGGTGT

56_Target2.3_8
CAGCCAGTGCAGCACAAGAGATGGAGGTCAGACTTCAGAAAGGACT

TCCCTCTTTTATTTTTTTTTCTGAGA

21
632327_266823
ATGAGCCACCACACCCGGCCAGGACTTCTCTCTTGAGAAGAAAGGG

57_Target2.4_1
AAACCAGCAAACAAGAGGAAGAAAGTCATCTTTTCTGGGCAGGTGTA

CAGGGAACGAGAGAAAGGAGAGACACA

22
632327_266823
CAGACGAGGCTACAACCCTAGGAGTCCTCTGGATTCTATCAGACTCT

57_Target2.4_2
GCAGCAAATTCATGATATTTTCTGTCTTCCCTATGTATTTATTGCCCCA

CCCTATAATGGGATGTGTCTCTCC

23
632327_266823
AGCCTCGTCTGCCTGGCCCTTGGCTGACTCACTGGACCTGCATACCA

57_Target2.4_3
GGCACTGGGCTCAACTTTGCTGTCCCTGGAAGCATGCATGTATCTTT

CTAGCCCCTGTGTTTGGTGCCTTTGC

24
632327_266823
GGTGCCTTTGCTGTTTTCCAACCCCACCTTCATACTTCCTTTAGGGCA

57_Target2.4_4
GGGTGGACTCTCCAGCCACCCTACCCCAATGCCTCTCCCAACCTCAG

CCCGGCCCCTCCCTTGAGCTGGGAC

25
632327_266823
AATGGTAGTTCCTCATATTATTGCCCCAGACTATTGCTAACCCTTTCC

57_Target2.4_5
TTCCTGGAAAAGATGCCAGTAGTACAGGTTCCCCAGCTCAAGGGCG

GGTTCTGGAGTGAGAGTCCCAGCTCA

26
632327_266823
TCCCCTACTGGGCACATCTCCCTCATCCCTCTCAGTGGGTGGGCTCT

58_Target2.5_1
CAGCCCTAGCGTCATACCACAAAGGTGCTTAGGGCAAGGGAATTGAA

GTCAGACTTTGTGGCCTTTTGTAAAC

27
632327_266823
GTGTGTATATGTGTGTGTGTGTTCCTGCCTCTCCCCTACTGGGCACA

58_Target2.5_2
TCTCCCTCATCCCTCTCAGTGGGTGGGCTCTCAGCCCTAGCGTCATA

CCACAAAGGTGCTTAGGGCAAGGGAA

28
632327_266823
CACACACGCATACACACACATCCTCTTACCCACACATATCCATATTAT

59_Target2.6_1
TTCCAGCTTTTCCATACTGTCCTATGCAAATAAGGAATGTTTAAATATA

TATTTTTTATTTTTATTTTTTGA

29
632327_266823
CCAGGACCAAGTGGGGTGATCAGGACCCCTCCAGGTGGGTCCCGG

60_Target4.1_1
GTGCGGATGGCCAGTTGGGCGCATGCTTATTGGGCCTGCATCCGTT

GGCCACGGAGGCTCTTTGGGACAAGCAAA

30
632327_266823
GGCCACCCTGTTGTTGTGGGAGTATTAGGGGAAGTTGCCACTAAGG

60_Target4.1_2
CTGGCAGGTCCTGGAGTTCCACCCAGGATGGGGACATGGGGGAGG

GAAGAGGAGGTGCCCCTCAGAGCCTGAGG

31
632327_266823
GGATAGGAGCCATGCTCCCCTGGGGTGGCTCTGGAACGTGGGCCCC

60_Target4.1_3
GTGCACAGGCTATGTAGTCTGCTCACACCCTTGCTGCCTGCCACCCG

GGCACCCAGGACTTGAGCCCAGACCCT

32
632327_266823
GCCACCCCACAGGTGGCTTTTTATTCCCTCCTGCTGCTGAGTGTCAC

60_Target4.1_4
GCGTGGGGCTGAGGGCCTGCACGCCTTCCCGGCCTCATCCTCTCCG

ACGATTCACGCCCTCCTAAGGCTGGCA

33
632327_266823
CACTGCCAAGGGCTCCCCGACACAAGCACAGAGCACAGCCTGGCCT

60_Target4.1_5
TGGCTGCAGCACCACAGCAGATGCCTTTATGCCCAGGGCCAGCTAT

GGGCTGAAAGCACACCCCAGTCCTCACT

34
632327_266823
TCCGCACTGTCTGTGGGGTGTTTTGGGTTGCAGGTTCCATGTCCTGA

60_Target4.1_6
AGCAGGAGAGCCCTCCCCATGCCACCTCCTCTGCCCAGCCTCTTAG

GGACAGTGCCTGGGATGCCCTGGCTGG

35
632327_266823
CAGCCTCACACCGAGCTCTCTGCCAAAACCCCGGATCACAAGCATGA

60_Target4.1_7
GCTCCAGCAGGTCCGCTTGAGTGAACACCGCTGATCCTGCCTGCAG

GGGTATAGGCCTGGGGCCTGCCAGCCG

36
632327_266823
TTCTAGCCTGGGGCAGAAGTAGGGTGGAGGGGTGGGTCTAGCCTCC

60_Target4.1_8
TTGATGACACAGTTGGGGTTGGAGGTGGGGGCTACCCCTATTCTGG

GCCTGGTGCTGTCCCTGAAGTCAGGGGT

37
632327_266823
TGTAGAGGTGGGAGGAAGTCAGGGAAGCAAGACACAGGTGGAGCCA

60_Target4.1_9
GGGCCTCTCCTGTGCTCGGAGGGCCAGGAAGGGCCTGACAGAGGG

CAGAGCCCCACCCTCTTACACGGAGACCA

38
632327_266823
AGGAGGCAGTTTTGGAGTCAGAGGTGAAGTGTGGGGAGTGGGATTG

60_Target4.1_10
GGTGATAGGGAAGTTTCTCCAGCAAAGACACTGGGCAAGCCTCTTCC

TTGGCCCCCAGATAAAGGGCTGCAGGG

39
632327_266823
CCCTTTTCTTCTGAGCCTGGACAACTCCTTCCCTTGCCCCCAGGAGC

60_Target4.1_11
CCACAGCCGGCTAAACCAACTGGTCAGCTAGAACCAACCAGCAGGG

GAGGTGCGCTCCAGGGGGGCTTCTAAG

40
632327_266823
TGGTAGGACCTCCTAAAGGGACAGCAGATGCCAGGAGAGGGCCGCA

60_Target4.1_12
AAGGCACAGCGTTGGAACCAGAGGGTTCCTACCAAGTTGACAACTCC

AAAAGAGCATGGTGGTCCCCCAAGGAC

41
632327_266823
ACAGAGAGACAGTCAGTTGTCCTCAGAATTGGATCCAGAACCTCGTC

60_Target4.1_13
TTCTGGCATGGCCCCCCAGTGCAGCACCACATGTGGCCTCCGAATTC

CCAGTCTGGGATTGGGGGAGCTCTG

42
632327_266823
TGGCCCCAGGTCTAGGCGAGGGATGGAAATAAGGACAGTGCCACTA

61_Target4.2_1
GGGCCTCCTGTCTGTACAGGAGGGGCCCTGAGACAGCTCCTCAAAC

CCCTTTCCCATTATACGGATGGTGCAGA

43
632327_266823
GGCCATGGTACCAGTACACAGTGCTCACCCTCCTGCTCAGACAAACA

61_Target4.2_2
GTAACGGCCAGAAGCTCCAAGCCTCCTGCCCCAGCCCAAGGTGACT

TTCCTGGCAGAACCTGGGACTGCCCTG

44
632327_266823
CCCTGCCCTGCCCTGCCTCCACCCAGCTCCCGGGCAAGCAGTGCCA

61_Target4.2_3
GGAGGAAGTGTCAGCAGCTCCTCCCCAAAGCTCTTTTCCCCACAGCC

CCGCCACCCCCGTACCTGGGCCCCGAT

45
632327_266823
CCCATCGCCCTGGGCCGGGACACGCCCCCTCTTGTGCCCATTCCTT

61_Target4.2_4
TCCCTCGGTGGAGAGTTGGGTGGTGGGGGCTGGCCGGCCTGTGAG

AGCAGGTGTCGGGGTGCCTGGAGAATCGG

46
632327_266823
TCCCTCCTGAGAGTCCCTGGTTTCCTTTCCCACACCCCTCCCGGGGC

61_Target4.2_5
CCGCCGCAGCTTTGGTCACCTTCTCAGAATGACCATGGGTTGATCTC

TTCTTTGCTAGTGAGATGTTTCCCAT

47
632327_266823
AGGGAACGGGAGCCTTGTGGTAGAAAAGGAGCTGCTGTCCCCGATC

61_Target4.2_6
TGGAACTCGAAACCCCAACATCTTCCAGGCCGTAAGCCCCTCACCCC

GCACCCCTAGGCAAATCTCCGCTTTCC

48
632327_266823
TTTCCCAACTCCCTCACCTCGGTCCAGCGATCAGCCTCTCGGACCCT

61_Target4.2_7
CGAGAGGGAGCTCCGACCCTGCTCTAGCTCTTGCGGGTCCCCCAAC

CATGGACTCCAAAGCCTTCATGTCCAC

49
632327_266823
CGCCGCGGGCTTTGCAGCCCCGCACGCCGAGCGCCGGTGGAAGCC

61_Target4.2_8
GGGTCCTGGCCACAGGAGTCCTAGCCGCACGCGAGTGTCGCGGGA

GGGGGCCAGGGCCGGGTTCTGCAGTGTGGA

50
632327_266823
CGGCGCGCCCGCCCCCACTCCCGCTCCGCTCCCGGAACCCCGCGC

61_Target4.2_9
CGGCGGCCGGAGTGAATCATTAACTGGAGCCGGGTGCTCCGGCTGC

GCAGCCTTCCCCGCTGGCGCCACGCACTT

51
632327_266823
CACTTGCCCGCCCGGCCTCGGTCCCCCGGAGCTCCTCCCTCTCCGG

61_Target4.2_10
GAGCCGGTGGGCAGTCCCCACGCCACACCAGCCGGACCACCCGCC

AGAGGCTCAACGGCCCCTCCTCGCAG

52
632327_266823
GCGTTGGCGGGGCCGGGCGCGGGGGCCGCCAGCCGGTAGGAGGG

62_Target4.3_1
TTCCTGTGTCGGGAAAGTGGCTGGCGGGGCCCGCGCTCCCCGGCC

GACGGCCGCCTGCTGTGTCACCTTGGGCCTC

53
632327_266823
GGCCCCGCCAACGCACCCGAGGCGCACAGGCTCCGGAGCCCCCGC

62_Target4.3_2
GGTTCCTGCCTCCCGGCTTCCCGGCCAGGGCAGAAGGAGATCCCAG

GGCCGCGGACCCCGGCCGGCGGTTCCCAG

54
632327_266823
CCGGCGGTTCCCAGGCCCCGCAGGTCCGGCAGGAAATGCCGCTCG

62_Target4.3_3
CTTAACCCCTTCCAGCCCGCTGCCGCCTCCAAGCCCGTACGCGGCC

CGGCCCCACCTGGCGCCCTCACCAGGTGG

55
632327_266823
ACCGGGGCGGCTGCGGCGCGCTCGGAGCCCCGAGGGCACGCGGC

62_Target4.3_4
CCGGGCAGCTCGGTGTGCGCCCCCGCGAGAGCCGGGGCCCCAGGC

CCGCCGGACACCATGAACCACCTGGTGAGGG

56
632327_266823
GCAGCCGCCCCGGTGCCGCCGCGCAGCTGCCGCCTCGGCCACCCA

62_Target4.3_5
GAGCCGGTCCAGCCGCTCTCCGCCTGCCGCCACGGCCCAGCCGGC

CCAGCCCGATCCCAGCATGCCCGGCCGCGC

57
632327_266823
GGGGGCGGGGCGGGGGGCGGCCCCTACTGGGCGGGCTTCTGTCT

62_Target4.3_6
GCGCGCCCGCGCCCCCGACAGGCGGCTTATTTGCATGGAGAGCGG

CGGCGGCCAATGGGCGCGCGCGGCCGGGCAT

58
632327_266823
GAGGCTCCAGGCCCCTGCCCGAGGCCAGGCTTCCAGCCTAGGGCG

63_Target4.4_1
CAGGACACCGCTCTCCAACAAATGCACGTCCCCGCCTTCCACCCAG

GCGAGAACGCACCGAAGGCCTACGCAAAC

59
632327_266823
ACGCAAACTCCTCCACTTCTGGGAAGGCTGCCCGGTTTGCCTTCTTC

63_Target4.4_2
CTCCAGAGCCGAGACATGGCCTCAAGTCGACTTGTCTTTCCCGCTAA

CCAACCCCAGGGCATTCATCGCGTGT

60
632327_266823
GGTGGGACCGTCTACAGTCGGAGCTGTGGTGGTGATGATTCGTCTC

63_Target4.4_3
CTACAGGCTGGGGCACGCCCCCTCCCCTTTCCCTCTAGATTCAGATT

TGAGTCCCACGGCCCATGGACACGCGA

61
632327_266823
TCCCCAGATGTCGGCACAATGCAGGGGAAGGTAGGTGCTGCCCGTG

63_Target4.4_4
AAAAGCGCTGGGTCGAGAGCTCGCCAGCCTCCCTGCTTGAGGCTTC

ATTTCCTGGGGTCCTTACACGGTGGGAC

62
632327_266823
GCTGAAGCAGATGAGTTGGAGCAGGACTCAGGAGGGTACTAGGCCC

63_Target4.4_5
AGGTTTTAGGCTGAACCTAGGAATGAGTAATGAGAGGAGGCAGATCA

GCTGGAGGACCAGCCCGAGTCCCCAGA

63
632327_266823
ACCGAGCAAGGGGCAACTCAGGAGAGCCAAGGTTGTCTCCACTCGG

63_Target4.4_6
TTTCCCCCGAGTGATTCTTCCTTCTATCTCCCTCATTCCCCCAGTGCC

GCTCTCCTACCCCATGTCGCTGAAGC

64
632327_266823
TGCTCGGTTGCAGGTCAGTGACTGTCACCCCATGCAGCAGAACCAG

63_Target4.4_7
GGTGCCAGAGCCCCTGGGCCAGGCCAGGGAGGCACAATCTGCAGG

GAGATGATAGGACCGAGCCTGGTCCAGAC

65
632327_266823
CTCTGCTGCGTGAAGCCGGGTCTACCCCGCTGCTTCCCTGCCACCA

63_Target4.4_8
GGGCTGCCTCGTGGCATCCCATTGCTCAGCCAGTGGCCCAGGATTG

TTGACTGAGGGTCCTGTCTGGTCTGGAC

66
632327_266823
CAGCAGAGAATTCTCAAGCATGGCCTATGGAAGACACAAGCCCAGGT

63_Target4.4_9
GGGCCTGCAGCTGCCCCTCTGTCTGACCCCCAGGGCTCAGCCTACG

CAGCGCCTGGCCAGATGTGCCACCTTG

67
632327_266823
AGACTCCTGTGTCCCACCCCTCCCAAAAAACTGGACGTCTGCATTTC

64_Target4.5_1
TTCAATATTTGGCTTGGGAAGCATTGGCCAGAACTCACAGCACAGCG

GGTGAGGAAGGAGCAGTGGGATGAGA

68
632327_266823
GACAGAGCATGACCCAGAGTCCTCAGGAGGAACAGAACAGCTAGCC

64_Target4.5_2
AACACCCTGTGCCTCCCCGACACAGCCCGCCTCGCCTCAGAAGAGG

AGCCAGCCTTCAGGGAAGCTGCCTGGAG

69
632327_266823
AGCATCTCCTCCTGCTTGTTCCCAAGAGCTGTGCCGGGCCCCTCCTG

64_Target4.5_3
CACCCTGACCCTGTCCAGCCACCCACTCCTCAGCCTGGCTGGCACA

CCAGCTTCCCAGAGAGCAGGTCTGAAC

70
632327_266823
GCAGAGACTGCTGCCTGGGGCCCTGCCAGCAGGGCACTGCCTGCC

64_Target4.5_4
CATGAGGCCTGGTCTCCCCTCCCCACAGAAGTGGAGGCCCAGGGAT

GACCTCAGGCTCCTGAGGGTCCCGCTGGT

71
632327_266823
TCATCCCCCAAGGTTCCAGCCATCCACCTCCTCTCTGCACCGCCCTC

64_Target4.5_5
CTTGGCCAACTAGGATGGAGCAGGGGCCAGCTCCCTTGAGGGCCAG

GCCTTTTGTGTCCTTGCCCGTCCCTGC

72
632327_266823
AAAAGGAGCAAATTTTTGAAATGCCTGTGTCGGAGCCTGTTTCCCTTG

64_Target4.5_6
CTGCCTCCTGCTCACACCAGCAGCCCCACCCCCAGTGCTGTTCTAAT

GCAGCTACTGGGGGAGGAGGGTCTC

73
632327_266823
CCCCACCCCCCAGCTACATCCCCATCAACACTGTGGGGCTTAACTTC

64_Target4.5_7
TGGGGCCTTGTTTCCAAAGCGGAAATGCCATTCTGGGAGGCACAGG

CTTTTGGGGGAGGGAATTTAAGTGGAA

74
632327_266823
GGGTATGTGGGGCTGCATCCCTGTCCTTGACAGCGGAGGTCCGGGA

64_Target4.5_8
GGCTGGACTGGGGGTGGGGTGAGGTTCTGCCCCCATATACCCCGGC

CAGAGCCTGGCCAGTGGGTGCTCCTCCC

75
632327_266823
TCTCAAAAAAAAAAAAAATTGGGGCTAACGGTGAGCCTGTTTTGCAG

64_Target4.5_9
GATTGCTGTGTGCACAAAATAAATGCATGGGCATAGGGCCCCTGGCA

CTGGCTGGGCGCAGAGGCTGTGCTGG

76
632327_266823
TTTCTTCCCTGGCCCTGTCCCTTCTGTGCCCCGAAATGTGTGGGATG

65_Target4.6_1
GGGCAGTGGTTGGTAAACTGGGTCTCGGTCTCTTCATGTGAAAAATG

GGGCTAGGCTGGGTGCAGTGGCTCAC

77
632327_266823
GCCTGTCCTTTTGCAGTCTGAGTGTGACAGGGGTGTTTGGCTTTCTG

65_Target4.6_2
AGCCTGGAGTGCTGCTGTCCCTGTCCCTAGATTCCCTTCCTGCTGCA

GGGTGGGCTGAGGTCTAGCAGCCCCA

73
632327_266823
TCAACAAATGTTTACTGCACCCCTTCTCACCAATGGGGCTAAACTTAG

65_Target4.6_3
TGGGGTGGGGGTGGTGCTGGCCCCAGTGCTGAGCTCAGTTTTACTG

GGGAGGAAGGTGCTTAGGTCTCAGTT

79
632327_266823
GTGTGTGCCTCTGCACTTAGGCGTGACTTAACCACCCCCATCCTCCA

65_Target4.6_4
GACTGGGGCAGCCTCAGATTTCTTCACCCAGGCCAGCCTATCCCATG

AGGGCCACCTCTGAGGTCCCACCCAG

80
632327_266823
GACCATTGAGGAGAGCTGGTGGTCACTCTGCAGAGCGTCCCTCCGT

66_Target1.1_1
GGGGATGGTCCTGGGTGGCCTCAGGACTCAATGGAGGGAGTCCCG

GGCGTGGCGTGTGTCTGTCTCAGGCCCCC

81
632327_266823
GCCCCCTGAGTATCACCAGCCACCCTTTGCTGGGTCCTGGGTACACA

66_Target1.1_2
AGCCACCCATCTTCAGATGTCAGGGTCTCCTCCAGCGGGCGCAGTC

CCTCTGCCCTCCCTCAGCCCTTGGGAC

82
632327_266823
TCCCTCCCCCGGCCTCCCTCCCCCAGCTTCCCTAAATTCTGTCCTCT

66_Target1.1_3
TGCTCAACCCTCCAGGCTGTGATCGAAGCCAGGGCGCGAAAGTTGA

TTCCAAATGGCCCCCTCTGCCCCAGCC

83
632327_266823
AGAGAAGCACTGAATGAACTTGGAGGCCAAAAAGAAAAAAAGCTTTT

67_Target1.2_1
TAACGTTTCATTTGGAAAGGATTTCACGCTTACAGAAGTCCAAAGGGT

CCAAACTCCCTCCCCGCTCCCCAAA

84
632327_266823
TTTTCTTTTTGGCCTCCAAGTTCATTCAGTGCTTCTCTCCATTTCACTG

67_Target1.2_2
TAGGTTTAAACCGTTCAGTTATAAATAAATAATTTTATCCTCTGTCCTC

GGCTTTCCCCCGTTTCCGGCAC

85
632327_266823
GACTTGGAGGGAGCTCCTGGCAGGGCCCTGCAGTGCCCAGGATGG

67_Target1.2_3
CCCCGCCGCAGAGACAAATCCAGCCCCCATGTCTGCAGTGCCGGAA

ACGGGGGAAAGCCGAGGACAGAGGATAAA

86
632327_266823
AGAATCACCCCAGGGTTAGAGGATTCCACAGACCCCAAGAGACTCTG

68_Target1.3_1
AGTCCCATGATCCTCTGCCCTGCTGAGGTCCCAGGAGGCTGCACAC

ATTGAAATCCACACCCTGAGTGGGAGG

87
632327_266823
TCCCGATGGGGCGTACGGCATAAACCCGGGGGACCCCAGCTCCCG

68_Target1.3_2
GGACTCGCCTCCTCTCTCCCTCCCACTCAGGGTGTGGATTTCAATGT

GTGCAGCCTCCTGGGACCTCAGCAGGGC

88
632327_266823
AAATAAAAATAAAAAATAAAAAATCCAGTCTGCCCCCTGCTCACACCG

68_Target1.3_3
GACACCAGAATAAACTCCCGATGGGGCGTACGGCATAAACCCGGGG

GACCCCAGCTCCCGGGACTCGCCTCC

89
632327_266823
CAGGGCCCCACCACGAGTGCCCTCAGTGCCTCACCTGAGGCCCCAG

69_Target1.4_1
CGAACATCCTCCTGCCAGTTTTGTCTGGGGGTTTTCTTCCCCCTTTAA

GGCCAGGATTCTCAATCAAGAGGTGA

90
632327_266823
GAGGTCCCTGTGGCCCCAGCAAAGCCGGCCGTGGCAGGTGTGTCC

69_Target1.4_2
CGTGGGTGGGTGAGCTGGAAACGGACAGACAGCAGGACGTAGCAG

GGGACAGGATGCAGAGCTCGGGAAGGCAGG

91
632327_266823
CCTCGTCAGGGAGGCGTCTCCTTGTGGGTGGCACGTGGGCATGTGT

69_Target1.4_3
TGCTCTGAGGGCTGTGGCCATGTTGCCCACCTGGCCAGGGACCCCC

GACTTGGGTGGGTGACAGCCAGCCTCCC

92
632327_266823
CAATGCCCAGGCTGGGTCCCCACTTCCTCCTTTTGCCTTGGGAGCCT

69_Target1.4_4
GGGAGTCAGAACGGACTCCGGGGAGGAGGTGGGGGCTTTGGGCTC

AAGGTCCCAACCTTTGTGGGGGCGGGGA

93
632327_266823
ATTGGGCAACTCAACGGCCTCTGGCATTGGGCTATAAGAGGAGCTTG

69_Target1.4_5
ACCGTGGGTGCACCCTGGACCCCACCATGGCTCACCGGCCCCCCAG

CCCTGCCCTGGCGTCCGTGCTGCTGGC

94
632327_266823
CCCAGCTGTGCCAGAAGGGCTTTGGATGGACCTCGTGGTGGATATTT

69_Target1.4_6
CCCCACAATCCACCGGGGCCTGGAGGCTGGATGGATGGGCACGTG

GCTCACTCACCGCTCAGCAGCAAGGCCA

95
632327_266823
ACAGATAGGCAACTGAGTCAAATGGCCAGGGCTCCCCCTTGCCCTTG

69_Target1.4_7
TCCTCCCCACCCCTGCAAGCGTTGGTCCCGAGCAGTGAGTGGAGTC

TCCCCTGACCCTGCCTCAGTTTCCCCA

96
632327_266823
GCAAATGCTCAGTGAATATGCATGAATGAATGAATGAGTGAATGAATG

70_Target1.5_1
AGTGAGTGAGTGAATGAGTGAACAAATGAATGAGTGAATGAATCAAT

GAGTGAGTGAATGAATGAGTGAATG

97
632327_266823
AGTGAATGAGTGAACGAATGAATGAGTGAATGAATCAATGAGTGAGT

70_Target1.5_2
GAATGAATGAGTGAATGAGTGAATGAATGAGTGAATGAGTGAATGAG

TGAACGAATGAATGAGTGAATGAATG

98
632327_266823
AAAAAAGAAAAAGAAAAAGAAAATCACCCTCAGGATAGGGACCTGAG

70_Target1.5_3
GGGGCCCATGCTCTCTTCTTCCCCTGATTCCAGCATCACTAACTCCT

CGACCCTTTCACTCACTCACTCATT

99
632327_266823
GTGAGCCACTGCACCCAGCCACCTGGTCTGCGTCTTAAAAGCCTTCC

71_Target1.6_1
TGACTCTCAGGACTGAAAGCTGCCACCAGGGCGCCTTTGGAAATCGT

CGTAATTATAACCCCCCCGGCCTGGG

100
632327_266823
GGGAGCCCCCAGGCTGCAGGGAAAGGGGGGATGGCAGAGCAGCCC

71_Target1.6_2
CTGGGCCTCTCCGAGCCTCCGTCTCCCGATCTGCAACCCGGTCAGT

GCCTGCTGGCTGGTGGGAAGGACTCAGCG

101
632327_266823
GCCCGGGTTCCCCCGCATCTGCAGGGAGGCCATGTAGGGCCGGGA

71_Target1.6_3
GTGTGGCTGCGCCTCGTGCCCGCCCACGATCTCCGCAGCTCGGGCA

GCACCTGCAGGGGGGGAGTCCAGGCGTCA

102
632327_266823
AGCCACTTCTGCGGAGGCACCTTGATCCACCCCAGCTTCGTGCTGAC

71_Target1.6_4
GGCCGCGCACTGCCTGCGGGACATGTGAGCGGCCGCCTCCACACC

CCTGTCCGCCCGCCCCGCCCTCTTCCTC

103
632327_266823
CTCGGCGACCCTGCCCCGGGCCTCCCCCCAGAACTGCCCACGCGC

71_Target1.6_5
GCGGGGCCTGGGGTCTGCAGACGGGGCTTAGCTGGGTCCTCCCCG

GGCAGAGGGACAGTGGCCGGGCCAGGGCTG

104
632327_266823
CCACGTTCACCAGGCGCTGGGGTCTGCGGGGGTGGGGTGGTCACT

71_Target1.6_6
CCTCGGCGCCCTGGACACTCGCCGCCGCCCACAGCCGGCCCTTCC

CGAGGCCGCGGTGCAGCCCCAGACCCCTCC

105
632327_266823
TGCTCGGAGCCCACAACGTGCGGACGCAGGAGCCCACCCAGCAGC

71_Target1.6_7
ACTTCTCGGTGGCTCAGGTGTTTCTGAACAACTACGACGCGGAGAAC

AAACTGAACGACGTTCTCCTCATCCAGG

106
632327_266823
CCATTTCTGTCTCCATAGAGTGGGGACAGCCCCCCATTTCCCCATGA

72_Target7.1_1
CACACATGAGATACTAAAGAGGTGCCCTACAAAGTCCCATCACCACT

AGATGATTTTTTTTTTTTTTTTTTTG

107
632327_266823
GAGTTGGGGCTCCGCGGTGGCGGTCAGCAGCATAGGCCCAGGTCC

72_Target7.1_2
CATGTGACCCAAGGCTGTCTCTGAACCTCCATTTCTGTCTCCATAGA

GTGGGGACAGCCCCCCATTTCCCCATGA

108
632327_266823
TCCCCCCCTTATGACCTGTAAACCCAGTTTCTGGCGGCCAAGGATGG

72_Target7.1_3
GGAGACAGGAGGCAACTGCTTGAGCGGAGTTGGGGCTCCGCGGTG

GCGGTCAGCAGCATAGGCCCAGGTCCCA

109
632327_266823
CTGCCCCTCCACTCCCGACTATGAGAACATGTTTGTGGGCCAGCCAG

73_Target7.2_1
CAGCCGAGCACCAGTGGGATGAACAAGGGTAAGTAAGCCACTGAGA

CACCTGCCAAAGTGGTGAATAATAAGG

110
632327_266823
CCGGGAGCTGAACAAACCCTGGGCTGCTCAGGATGGGCCCAAGCCC

73_Target7.2_2
GGTTTAGGCTTGCAGCCACGGTACGGCAGCCGGAGCGCCCCCAAGC

CCCAAGTGGCCGTGCCATCCTGCCCCTC

111
632327_266823
AGCTCCCGGCTTCTGGCCACTCGGCATCGCCAGAGTCTCCAGGCCA

73_Target7.2_3
GCACAGGGCCAGCGATGGCAAGTCCAAGAAGCAGGCACCCGCTGAC

CACCACTGCCCCGATAGTTGCAGAGGCC

112
632327_266823
CGACATCCGCCGAGACAACTGCTCTGGCCAGAAGCCTCTGCTCTGC

73_Target7.2_4
TGGGACACAACCAGCTCCCAGCACAACCTCTCTGCCTTCCTGGAGGT

CAGCTGCGCCCCTGGCCTGGCCTCTGC

113
632327_266823
TGAGGTCCTGAACGTGCTACGCAACCCCTTGTCTCGTGTGGATGGG

73_Target7.2_5
GCGCTGGCCGCCCGCTGTGACCTTGACCTGCAGGCCGACTGCAACT

GTGCCCTGGAGTCCTGGCACGACATCCG

114
632327_266823
AGGACCTCAAGCTTCTGCAGGTGGGCAAAGAAGGTCACTGGAAGCT

73_Target7.2_6
CTCGCAGGCCGTTCCCAGACAGGTCAAGGAGAATCACGTTGCTGGC

CCGCAGAGACTGGTTGTGAGGCAGGCTC

115
632327_266823
GGCAGGCTCAGGCTGAGGCCACTGAAATTCAGGCACGTGGCACTGA

73_Target7.2_7
ACTCCGCGTTCCAGTCCACATCCGCGGAGGACACGGTGCACGACGG

TTCTAGGCTGTCTGACTCCCGCAGCAGC

116
632327_266823
CGCAGCAGCAGCGGCAACAGCAGCGTCCATGCCAGGGTGCCCCCC

73_Target7.2_8
ATTCAAGCAACCTACGTAGAGACACCGGAATCCTAGCCCTGACCTCA

GCCCTGTGGTCGCCCTCGCCTCCACCGC

117
632327_266823
CTCCACCGCCAGTGTTTATTATTATAGCTCAGACCAGCTCAAGCCGC

73_Target7.2_9
TTCTGAAATGGTAAAACGCAGCCCCAGTCTGGTCGCCTCCTTTGGCT

GGTGGGCTGCCTCAGTCTCCCCTTCT

118
632327_266823
GCATAGGGTCCCGTCCTGGCCAACGAGGGCGCCCCAAATGTTCAGG

74_Target7.3_1
ACATAGAAGAAGGGGTTAACTGGCCCGGATCTCCTCCTCGCCTTCCA

AGCCCGCTAAGCACTGGGGTTATCTAC

119
632327_266823
GCCCCCACTCCACCCTATCCCAGGACTTCCCAGCGACCCGCCGTTC

74_Target7.3_2
TGGGAGATACCGGGAGCGTGATCAGGGGGCGGGGCCGTTTCCAAG

GCAACCGCTTATTTGCATAGGGTCCCGTC

120
632327_266823
GCAGAGGCAAAAGCGTGGCAGTGGGACCCAAAAGGTAGGACTGAGG

74_Target7.3_3
CTCTAGAACTTGCACCTGTGCAGGGACTGCAAACCAGACCTGGGAG

GACCCTTTCAGCAGCCCCCACTCCACCC

121
632327_266823
AGCGACCCCAGCAGCGCTGCGGACGGTGCTGGCCGTGGCCGCTGC

74_Target7.3_4
GGCCCCCGTGTCCAGGTGGGCCAGGACGCAGCCTCTGGGCGCCGT

CGCTTTTCCAGCATCGCAGAGGCAAAAGCG

122
632327_266823
CCTGCAAGGGGGCGGATCTCTGTCTTCATTCTTCCCCTCTGCACTCC

74_Target7.3_5
ACCCAGACACCAGTTCCTCTTCCCCCTGAGTCGCTGGGTGCAGAGC

CAGAGGAACGCCAGCGACCCCAGCAGC

123
632327_266823
GCTAATAGAGGACATGAAGTCACTGGGTTCTAGCAAGAGGGAAGCG

74_Target7.3_6
GGACTCTGGTCCACCCCTCCCTCTTGCCCTCCATCCACCTCTGGTGA

GAACCTTGAGGCCCTGCAAGGGGGCGG

124
632327_266823
ATGTCCTCTATTAGCACCCCAACCGACTGCCACCTCATCAACTCGCTT

74_Target7.3_7
CTTGATCTCAGCTTGGCTGGTTCCCAGCTCATGCAGTCATTTATTCAT

TCAACAAGCATCACCCACGCTGGG

125
632327_266823
CCCTCCTCACTGTCCCCTCCAGCATAGAGGTGCCACTGTGCAAGAAC

75_Target7.4_1
TCAGTGGGAGAGGCTTGGAGGAGCTTGGAGAGCCAATGATAGGTTT

GGGGAATCTTAGTGAACTCCTACTCAT

126
632327_266823
GGCTCCACATGGACCTCTTCCCCCACCACCAATTCCTTCTATCCTCTC

75_Target7.4_2
CACTCCTAACCATGCTATCCCAGCCAGCTACATTTTCCCAAGCTGCT

GGGAGCCCTCCTCACTGTCCCCTCC

127
632327_266823
CTGGGACCTCAGCCTCCTCCCCAAGTTGCCCACCCCAGACACCAGG

75_Target7.4_3
CTCACTCCAGAGGGACTTCTTGAGCCAGTGCCCCTCTGCCCACGCA

CCTGCCTTGGCTCCACATGGACCTCTTC

128
632327_266823
TGACACCAGGTTCAGGTGAGGCCTTCTCCCAGCCCACCCCTCCTCA

75_Target7.4_4
GTATCATTTTTGTCACTACTACCCCTCCAGTCTGCCTCAGGCCCCCAT

CTGCTTCTGGGACCTCAGCCTCCTCC

129
632327_266823
CTCACCTGAACCTGGTGTCAGGTGGACCAGGTACAACCTATGCCAGC

75_Target7.4_5
CCGACTCACTGTGCCACCTTAACTGCGTGTGACACCATGTCCACAGC

TGTCAAATGCACAGAGGCTTCTCCGG

130
632327_266823
ATGCACAGAGGCTTCTCCGGGATCTGGGAGGCTGGGAGTCCACTCC

75_Target7.4_6
CCCACGTTTTCCCCTCTTTTCGGCCTCTGTCCTTCACATCGCCAAACT

CCAAGAAATGGTCAAAGGCTTTGAA

131
632327_266823
CGTGCTTTGTTCTACTGGCCCTGTTAAAACTCAAGCCAGATCACGTC

76_Target3.1_1
CACCTGCTCACAGCCCTCCTGTGGCTCCTCCTCACTCTCAGCAGAAA

CTGACCTTCCCCCTCTTATCTCACCT

132
632327_266823
TCTGCTGTCTCCAGGTGGCGGCGAGGGAAAGCGCATCCTGGGGGAA

76_Target3.1_2
CCCTGGGCGCTTCCTCGCGTTAGACTCCCCCAGGTTGCCAACTGGC

CAGTGGCTGGTTTCGGTACCCAGGCGTG

133
632327_266823
CAGAGTCACGCCCAGCGCTGCGCAGGCTGATCGCCGCGCCGCGCC

76_Target3.1_3
CCCGCCCTCGGTCGCAGGTGGCTCGTTCCGGGAATTCCTAAGCGGA

AACCGGTCCCAAGCCCCGCGCCTTCGCTC

134
632327_266823
ATTCCACTTCGGAAGTTTTCGCCACCTCCCCCACCCGTTCCCAACTT

76_Target3.1_4
GTGGTTCGGCCCCTGGGCATCCCTAGCCCCCGGGTCAGCCCTCCGG

AAATTCTGGCTCTTAAAGGGGCCGAGC

135
632327_266823
TTCGGGCCTCCTGTGTCTCCCAGTTAGATGACCTGAGGAACCCTCTA

76_Target3.1_5
AAGTCCCCGGAAGGGAAGCTCTGCCCCCTCAGGGATGCCCAAGGGG

AATCAGGGCCAGGAAAAGTTGGAATTC

136
632327_266823
CGAAGCGCCCCCCCTCCACCCGGTCCGGAGGAACCCCAGTGGAAGT

76_Target3.1_6
GGAGAAGTCAGGCGCCACCAACAAGCCTCTCCCAGCCAGGACTTTG

CTTAGACTCGCTCCTCCCGGCAGGGCGC

137
632327_266823
TGCAACCGAGACCCACTTGGAGCGATTCACCTGTTGAGATAGGGCG

76_Target3.1_7
GGTCCCGCCGCGCACCTGTTCCCTCCCTGCCCAAACCCCTCTCCCC

GGCTGGCGATGGACCCGCCTAGGTGCGC

138
632327_266823
GCGCTCCGTCCCCCAGGGCCCGAACCAAGTGACTGGCCCGCTGGG

76_Target3.1_8
AGGGCGCCTGCGGACCACAGGTCCCTTCCGGCCCCCATCTGCTCCG

GCCAAACCAAGCGCACCGAGATCCATGCA

139
632327_266823
CTCCGGTGAATGGTTCGGCCCAGGTACACAAGGGTGGGAGCCGAGG

76_Target3.1_9
GCTGGGCTTAGGGGTGAGCGGCGGGGAGGGGTTCCTCTGCCTCCC

TCCCCGGAAGTGGGCTGACCCAGGTGCGC

140
632327_266823
GGAGCGCGCAGCGGGTGGAGTGTGGCTCGGAGGACCGCGGCGGG

76_Target3.1_10
TCAAGCACCTTTCTCCCCCATATCTGAAAGCATGCCCTTTGTCCACGT

CGTTTACGCTCATTAAAACTTCCAGAAT

141
632327_266823
GCGCGTCCCTTCCAAAGTACCTTAGGGGGCGCGGCGCGCACCAAGG

76_Target3.1_11
CCAGGAGGGGTGCACGCTCCTCCCCTTCCCACTTCCGTTCCTTGTCC

CTACTCCAAGTCCGTCCTGTTGCATTC

142
632327_266823
GCGCGGGCCAGACGCGCCCAGACGGCCGCGATGGCGCTGTTGGCC

76_Target3.1_12
GGCGGGCTCTCCAGAGGGCTGGGCTCCCACCCGGCCGCCGCAGGC

CGGGACGCGGTCGTCTTCGTGTGGCTTCTG

143
632327_266823
ACCCCCGCTTCCCGCTTCCCGCCGCCTCCAACTCCATCCATCCCCCT

76_Target3.1_13
CTACAGTTCCCTCCGGCGTTCCGCAGCGTCAGAGGCCCCGTGCCCC

GTACCTGTGCACCAGGTGCTAAGCAGA

144
632327_266823
TATCTTCCAGATAAGGGCGCGGGGAGCGCTCCCCGGCACAAATGGG

76_Target3.1_14
GAATTCCTCTCACTCCCGCGCGCAACAGATCGCCCAAGACCCAGGG

GATCGGAAGGTCCCAGCCTCTGAGACCC

145
632327_266823
TCCCATCCCGGCTTTTCTTTTCCCAGAGATCGGGCGGTCTTCCACTC

76_Target3.1_15
CCTCCCCACAAAGAGTTCCATTCTCCCTGCCGCTCCGGGTCTCACCG

TCCAGGGAGTTTCACTTCCTGCTATC

146
632327_266823
ACCCGAGGCCTAGGCATTGTTCCTTCGTCTCTGTCCCTCTAGGAAGC

76_Target3.1_16
GTCTGATCCAGCCCTCCCGTGCCCTCTCCCCGTTACTCCAAAACTTA

GAAATCCCCGGGTGCGCCCAAGTCCC

147
632327_266823
CAGAAGTCGGTTTCAAGTCCGTAAATCCATCCCACCAGACTCTTACG

76_Target3.1_17
CACGTATAATCCGGAGCCCGCGGGAGGTGGGTGGGGTGCGGGGGA

TGGGGAGTCCCCAGTCCCACACCCACCC

148
632327_266823
TCTGCTGGCAGGCTTTCACCTGGATGGGATATTTGGGTGGTGATGAG

76_Target3.1_18
GTCTTTCCCGAGACACTTTTGGTTCAGTCATTTGAAATGACTTTAGAG

TAGGGTGAGGTGGTGGGAGGCTGAT

149
632327_266823
ACCGACTACGAAGGATTCCAGGTTACCCGGGGCCTTTTGAATTTGGA

76_Target3.1_19
GGGAAAACCATGGAGTTGTTTGCCTGAACTGCTTTGCCATGGAGGGA

CTAAAGCCCCCACAATATCTCCATCA

150
632327_266823
CACCAGTCCCCTCTTCCCTTTGCCATTCACCCACAACAAGGGGCCTC

76_Target3.1_20
TGTGTGGCCTGGGCAGGCAAGCCCAGATGGCCATGTTGATGCCCCC

AGCGCCCAAGGCCCCACTTCAAAACCG

151
632327_266823
GGTGTGGTTCAGAGGCCACAGGCTGGGAAGAGGGATGGCGGGCGA

76_Target3.1_21
GTCCAAGGAAACTGGCCGTGTCACCGTGCACCTGCCACTTCAGCCC

CACGGGTCTATAAAATGGGCATGATTAT

152
632327_266823
GTGCCAGGCACTCTGTAAACCACATACTTGCGAGTGTCAAGCTGGTG

77_Target3.2_1
ACAGGTGGCGTTCCTGTTGAAGCACCTCCCTGAGCTCACAGCAACCC

TTGCTGTCTCTCCTCTTGCCCTCAGC

153
632327_266823
TCTCTCCTCTTGCCCTCAGCTCCTGCCAGGGCCATCCAGGTGACCGT

77_Target3.2_2
GTCCAACCCCTACCACGTGGTGATCCTCTTCCAGCCTGTGACCCTGC

CCTGTACCTACCAGATGACCTCGACC

154
632327_266823
CCTACCAGATGACCTCGACCCCCACGCAACCCATCGTCATCTGGAAG

77_Target3.2_3
TACAAGTCTTTCTGCCGGGACCGCATCGCCGATGCCTTCTCCCCGGC

CAGCGTCGACAACCAGCTCAATGCCC

155
632327_266823
CGACAACCAGCTCAATGCCCAGCTGGCAGCCGGGAACCCAGGCTAC

77_Target3.2_4
AACCCCTACGTTGAGTGCCAGGACAGCGTGCGCACCGTCAGGGTCG

TGGCCACCAAGCAGGGCAACGCTGTGAC

156
632327_266823
GCCAGTCCCACCACCCGGGCAAGCCCAGCCTCATCCCCCTGCCCTG

77_Target3.2_5
CCCAACATACTTCCGGTGATGGTAATCCTCCGGCCCTGGTAGTAATC

TCCCAGGGTCACAGCGTTGCCCTGCTT

157
632327_266823
GCCCGGGTGGTGGGACTGGCGTCCTTGTGCGGGACCTGGAGTCCC

77_Target3.2_6
CATCTGAAAGCTCTTGAGTGCCAGTGTCTGAAAGGACCATTGAAGGG

AGCAATTCTTTTTTTTTTTTTTTTTGA

158
632327_266823
GTGTGCAGTTCCTGGCATGTCACAGGCTTTCTCCATTAAGCTCTCTTG

78_Target3.3_1
CCCCTGCAGTTCACTCCTGCCATCTCCTCTGTGAGTCCTCTGCGGAC

CACCCTAGGCAAGCAAAGGGATTAG

159
632327_266823
GTAACCTCTCTGTGCCTCAGCTGTCAGGAGGGTAGAGGAGAGGACT

78_Target3.3_2
CAATGGGAGAATATGTGTGCAGTTCCTGGCATGTCACAGGCTTTCTC

CATTAAGCTCTCTTGCCCCTGCAGTTC

160
632327_266823
CCTCCCAAAGTGCTGGGATTTGTTTCCGGTTTTTTTCCTACTATGCTA

79_Target6.1_1
TAGTTTTGACTTTGTTTCCCTGACTAGGATGTCAATTCCGTGAGGCTG

GATTTTTGCTGATTTTTTTTTTTA

161
632327_266823
ACTATGCTATACTTTTGACTTTGTTTCCCTGACTAGGATGTCAATTCC

79_Target6.1_2
GTGAGGCTGGATTTTTGCTGATTTTTTTTTTTAACCTCTGTACCCCTAG

CTTTTTTTTTTTTTTTTTTTTTT

162
632327_266823
GCTTCCTCCGCGGCGCTTTAACACGCAGGGCGCTGCTGCCAGGGGC

80_Target6.2_1
GTCCCGTGTTCTAACTCGCTCCCACAGCCCCTCCGGCTTGGTGAGCA

GCGTCTGAGGGGTGAGGGGCATAGACT

163
632327_266823
GGGGGCTCTGTGGATGGCATTCGGGGAGCTACAGGTTTCCCCCAAA

80_Target6.2_2
AGCTCAGATGCTCGTTCTTGAAGAGGGAGGTGCTGCCCCTGCCTTCC

TGCGTACCGCGACAATACAGCTTCCTC

164
632327_266823
GAGCCCCCCTCAGTCGGCCTCCCCTGAGGCACCAAGGCTGGCGGAA

80_Target6.2_3
GCAGTCACCTGTCCATCTCCCCCACTTCTCACAGAGGAAATCCTGGG

TGGTGCCGGGCAATGAGTCAGGGCTGA

165
632327_266823
CCTAAGGCCAAGGGCGCCTGGGCCCTGCAGAGGAGCGGAGCAGGG

80_Target6.2_4
GGAGGAGCGCTGAGACCTGCCCGTTGGAGGAATGCTGAGACGCCC

CACCCAACCTCTGTCCTGGTCCTCAGCCCT

166
632327_266823
TTGGTGCAGGCAGCTTCTGGGCTTGAGTCCGGCCCCCTGCACCTCC

80_Target6.2_5
AGTCCACACTCCCCAGGAGCTCACCTGCTCCCAGGTCGAACTCCATG

GCGGTAAGAGAAGTTGGGTCCTAAGGC

167
632327_266823
TCCGACCGGCCCTGAACTTTGTGGGGACTGAGCTTGGGATCTCCCC

80_Target6.2_6
CGTGGCCCGCCCCCACACCGGGCTTCTGGGAGGTGGGCTCCAGGG

CTGTGGAGAGAAGTTGGGTGGTTGGTGCA

168
632327_266823
TGAAGTTGGAGGCCTAAGGCAGGACCCTGGGGTCAGGGGCAACCCC

80_Target6.2_7
AGCCTTCCCGCCCCTCCGCAGCCGGTGATGAGGCGACTTACCTTTG

GACCCGGACCTGCCCCTGCCTCCGACCG

169
632327_266823
TACCTTCACATCCGTGTCCGAATCGCTGGAGCTGCTGCTGGAGTCGG

80_Target6.2_8
AAGAGCTGTGGTGTCCTTGCTGGATGGAGGTGCGGCAGTGAGGCGG

CGCCCCTTACCCAGCCCCCTGAAGTTG

170
632327_266823
GGCTGGAAGCGAGACAGGGGGACCACTCCCCGCACCCTCCCCGCC

80_Target6.2_9
AGCCCCAGTGCGGGGACGCCTCTCTGGGGTGCAGGGCACGTGCTT

GGGGACGCTGGCGAGAGCCCCTTACCTTCA

171
632327_266823
TTCCAGCCCAGAACCATCTCTTCTCTCCCATCCCTGCCCTCGGCCCC

80_Target6.2_10
ACAGTCCCACGCTGCTGGCTCCAAGCAGCACGAGAGCATCCCGGGC

AAGGCCAAGAAGCCCAAAGTGAAGAAG

172
632327_266823
AGAAGGGCAAGAAGAAGGAGGCTCCCCACTGAAGGGCCCTGGACAG

81_Target6.3_1
GGCTCATTAAACCTTCCTCTCTGCCTTCTGCGACTGGTCAGCGTGGT

GCCTACTCTGGCCCGTCCCCAGCTCCC

173
632327_266823
CCAGCTCCCTGCCCCCTGCCCAGCGCTGGGCCCGCCCATTCGTGCG

81_Target6.3_2
CGAGGCCAAGGAGAGGCTGTCCACGCCATGCCCATCAGGGTTTATT

GTTTCTGTAACAGCGGCCACGCCCTGGG

174
632327_266823
GGCCCCAAGGTCCACCCTGTCTGGCCACAGGCACCGCCTCCATCCC

81_Target6.3_3
ATGTCCCGCCCAGCCCCGCCCCCAACCCAAGGTGCTGAGAGATCTC

CAGCTGCACAGGCCACCGCCCCAGGGCG

175
632327_266823
CATGTACTGGCTCACCTTCCACCTGGTGCGGTGAGCGCGCCCGCTG

81_Target6.3_4
AACCTCCCGCTGCTGCTGCTGCTGCTGGGGGCCACTGTGGCCGCCG

AACTCATCTCCTGCCTGCAGGCCCCAAG

176
632327_266823
CAGTACATGAGCATAGGCTGCGCCGCCGCCACCGCCATGGTCAGGT

81_Target6.3_5
ACATGCGCAGCTGGTTCCGGGCCCCACGCACCGGGACCCCCTCAGC

TGCTGCGTCTGCCAAGATCTTCAGCCGC

177
632327_266823
TTCAGCCGCAGCGTCCGGATCTGGGTGGGAAAGAGAGAGAGGAACC

81_Target6.3_6
AAGGGATTTACCCTTGAGCCCTCTGGGCCAGAGTGAGAGCCCGGAC

ATACTTCCAGCCTCTGCCTAGAAGCCCC

178
632327_266823
AGGGCCCGGGGAGAAGCAAATCCTCACCATGTTAGGAGGTTTGGGG

81_Target6.3_7
AAACTGAGGCCCCGGGAGCAGAAACCTGAGGCTGCAGAGGGCCAG

GGACTTGTCCCCAGCTGCCTGGGGCTTCT

179
632327_266823
GGGCCACGTCTCCCACCCCCTCAGGCCGGGTGTCCACCGGGAAGTC

81_Target6.3_8
CCCCTTCACCCGCTCCAAGACCTTGCCTGGCATTTGAGTATGGAACC

TTCTCAGATTTTGCCCACAGGGCCCGG

180
632327_266823
ACGTGGCCCAGGATGCTGCCCCCCCTTATGCTGGCCACACGGCAAT

81_Target6.3_9
TTCTGAAGACACGCCAGAAATGCTATCTTTATTTTTATTAAAGGACAG

GGTCTCTGGCCTGGTGCGTTGGCTCA

181
632327_266823
TGTGAGTCACGTGCTTGGCCTAAACTTTTAAATGATGAGACTTAAGTC

82_Target6.4_1
AAAGTTTATCCAAGGCTCTGCCCTGGCCCACCAGCCACCACAGTCTG

CCCTCTGCTTCTCACATGC

182
632327_266823
CAGAATTTCCCTGGAAGGAGATTCTCTAGAGCCCTTCCCACTGGAGT

83_Target6.5_1
CAGGGGTGCTGGTGAAGAGCACTGGGGTCTGCAGGCTGGGTGGAC

CCCAAGCTTAGTTGGATCCTGGGCAAAT

183
632327_266823
CCAGGCTGCTAGAGGCTGGGGATCCCCAGCACACAGGCTCCAGGCT

83_Target6.5_2
GGGCTCTCACTCTCATTCCACTCTCCTTACATGGGAGCCTTCCTGCC

AGAATTTCCCTGGAAGGAGATTCTCTA

184
632327_266823
CTCCTCTCCCCACAGGCCTGTGTGGCCCAGCCATGCGCTCTCCCAC

84_Target8.1_1
TTGGGTCCCTGCCCTGGCCGCGGCCTGGGCTACCCACCCAGGTAGC

CAAAGGAATCTTTTTTTGTTTTGTTTTG

185
632327_266823
GTGTTAGTTATTACTCTCAACATCTCTTCAAACCACCTTTATGCTTGCC

84_Target8.1_2
TCTCTCAGACTCCTCTTCCTCCTCTCCCCACAGGCCTGTGTGGCCCA

GCCATGCGCTCTCCCACTTGGGTC

186
632327_266823
GAGAGGCAAGCATAAAGGTGGTTTGAAGAGATGTTGAGAGTAATAAC

84_Target8.1_3
TAACACTTGTTATCTCATTCAATCTTCACAAGATGCAATGAAGAAGTG

GGCTTTTTTTTTTTTTGAGACAGAG

187
632327_266823
AAATTCACCTATTATTCCAGCTTCTCTCTTCCAAATACGGCCTCTGTG

85_Target8.2_1
CCCTGTTTCTTCCCCCAGGAGGAGATGAACGGCTGGCTGGAGGCTG

TAGCTTCCTCGGTGGCGGAACACGCA

188
632327_266823
GGGGTGGGAAGTCACTTCCTGCGCCCGCTGGCCCTGCGATCTCCGC

85_Target8.2_2
CTTCCCTCTTAGGGTTGCCCTCATCTGTGGATGAAGTAGTGGGTAGT

GTCTGGCCCCAGCGGGCGATCTCTGCG

189
632327_266823
CCCACCATGTCACGCGTCCTCAGTGTTGGAACTAGGGGCTCCCGCC

85_Target8.2_3
CCTGCGGAAGAAAAAGTGTCTTTGTGCCCACAGTGCGGAAAAGAGG

GGAGACGAGATGTGTCAGGTCCTGGGGG

190
632327_266823
GACCCCCAGCACCTGGGGTGGGGGTGGTGAGTGGGAAGGGGCCGA

85_Target8.2_4
GATATGGCTATAGGGGCAGCAATCTCCCCACCACTTCTTGGGGTGCA

GGAGAAGTCCCCTCCTTTCCGGTGCCCA

191
632327_266823
TACTGCCCCCACCACCCCAGCTTCTTGGGGCAGGATCTGCAGATCG

85_Target8.2_5
GGGCTGGGGGCTTGGCTCAACTGGCCCCCTGCCCACCCCCATCAAG

CTCAGTTATTGCATAAAAATAAGGGACC

192
632327_266823
GTGAGGTAAAGGCGGGGAGGGGGTGTCCCCTCCCTGCCCCCTAGC

85_Target8.2_6
ACCCTGGATGGTCCAGGGGACCTCACCAGCGCCCCCGTGCCCATCC

CTAGGGCAGAGAGGGGGGCAGGAATTACT

193
632327_266823
TTTTGCAAAAATAAACTAAGTCAGGAATTAACCGCATGGCTCTGAGGC

85_Target8.2_7
GGCGGAGTGCAGGGGGCTAGGGCCCCTTCACTCCCCCCTCCCAGA

CAGAGATCAAGGCAGCATTGGAAGTGA

194
632327_266823
CATGAAGTGGCATTTACAACTGGAGGGGGGAGGAGAGAGGAAAACA

85_Target8.2_8
GTTTTGAGCTTTGACGCCCCTCCCATTAAAAGCCTTCGCGGATGCGG

GGCGGGGGAGGAGGAGATCGACGTTTT

195
632327_266823
CCCCAGCGGCTTCTCCAGGCGGCCATGGGGACTGCCCACAACCCAA

85_Target8.2_9
TCCCCCGACTCCCCAGGGAGGTGCTCCAGCCAGAAGCATGCAGGGG

TGGGCTTCCCCTCGCCCCTCCCCTCATG

196
632327_266823
AATCCTCCCGGGCGCAGCCCAGAAAACCCAAACAAAGGACCATAGA

85_Target8.2_10
CCGTCAAAGCCAAAGGGTTTATTATAGGTACATACAGTGTGCGCCCG

CCACACCGCCCCACACCCCCGGGCCCC

197
632327_266823
CCCCGAAATTAAGTCCACATAAAAGGGTACATCTGGATGTTCTCCGC

85_Target8.2_11
AGCCACGGTACCCCCGTGCCCCTCTCCCCACCCCGCACCCACCCCT

ACAGCCACCACAGCCCTCCTTTCAATC

198
632327_266823
CGCCTTTCCTGAACTTGACGGGGCGGACCCGGAGTCTCCTTTGGGG

85_Target8.2_12
AAGTTTATTACGAAGCATAACGAAATATTCTCCATCCCTCTAGGTTCT

CGTCAAGGGGCGTGTGTTTAGACCCC

199
632327_266823
GCACCCGGACCCCGCCTCCATAGGCTGCTCATTGGGCCAGAGACTC

85_Target8.2_13
CAGGAGTCACTAGCGATTGGACAGAGCGCCTGCCCATCGCGGTTAA

CTTTTCCGCCTCCTTAAAGGGGTCCGCC

200
632327_266823
CATTCAGATGAATGACTTCCCCGGGAGGCCCCCGACTGGGGACCCC

85_Target8.2_14
CTCGGCTGCAGTAGCCGCTGCTGCCATGGCCCCCGGGCGAGCCGG

CTGGCCCGCACCCACTTCCGGGTGTGCAC

201
632327_266823
GCGGAGCAACCCTTGATGGACAGGGATTCCCCCAGGAGAGGCGGAT

85_Target8.2_15
ACTCCCACCCCGCTTCCCGCCCCCGAGGATGGGACCTCAGGAGTCT

CCCACACTCACCTCTTGCCTCCCACATT

202
632327_266823
AGAGATGAAGAGGAGCGGGTGAGGAATGCGTCCCCCTCCCGCAGGA

85_Target8.2_16
TCCAGGGTTCCCTCCCCTTCCCCCTCCCCCGGCGTTTTTCCAGAATC

TCGCGCCTCCAAAGGGGGGGGGGGCGG

203
632327_266823
CTCCTACCCTCGCCCCAAACTCGCTCTCCCGATCACCTGGAGAAGAA

85_Target8.2_17
GGAGTCTGGGATCCAGGTGAGAGTCTGGCGAGAGGTACTGAATCTG

GGCGGGGAAGGTAAACGGACGCAAGAG

204
632327_266823
GGAGGGATGGAGAGGGCGTGGGAGACCTAATATCCACTCCCCCGGC

85_Target8.2_18
CCGTGACGCCTGCTCGGTGTCCCTTCCCTGCAGTCTTCTGAGCGGA

CGCATCTCGACGCTGAAAGATGAGACCG

205
632327_266823
GGGAAAGGGGGGCAGAGGATGGATGGGGTAAAAGGCAGGACTGAG

85_Target8.2_19
TGGGGTCCTGCCCCTCTTCCTACCAACCCCTCCCCCCCATCCCATTT

CAGTTCTTGTCCGACTCACTGCTCCGGT

206
632327_266823
AGACAGTGAGGGACTCCCTCCCCTTTTTCCATGCCAACCTGGGATCC

85_Target8.2_20
AACTCTTTGGTGCGCAGGAAGTTGAGGATGGGGGCGAAGACTGTAG

GGTCCCTGTCGATGAAGATCTGCGGGA

207
632327_266823
GTCTTCAGTCCCTGAGGAGTTCTTTCACCTCCTCTGAATGTCCACGT

85_Target8.2_21
GAGCTCCATTCTATTAGAATTCTCATTCAGAACCTTGATCACAGGCCG

GGCGCGCCGGGATTGCT

208
632327_266823
ACACACACACACACACACACTCAACATTTCCTCCACCCATATCATCAC

86_Target8.3_1
TCCTTAGCATCTTTATTCCATCAAAACTTTCTACCCCTTGACATTCTCT

GTGCAGTTTTGAAAATTACCCTC

209
632327_266823
GAGTGAGCCCATAGAACTGGGCTTCATGGAGGAGGCTGGAACCGTG

86_Target8.3_2
GACACCCCTGGGTAGTAGAATTGACTAGAGGTCAGGGTCTAGGTGT

GGGGGTGAACAGAGAATGCTGAGAGGGT

210
632327_266823
CCACCTCTACCCCAGCCCTCTTTCAGGAGAGAAGGGGAAGAGGGGC

86_Target8.3_3
AGGTAGCATCACAGAGTTGGTTTTCTATACAATGAGGATGATAGCTG

GGGGCTCCCACTTACCCAGAGGAGTGA

211
632327_266823
ACTTAGGGAGATGCTGAGGCCACCCCATTTCCCCCTCCCCATTTCTT

86_Target8.3_4
TCTACACAGAGTACCAATACTCCTCCCAGTACGAATACAGACCCGGC

CAGGGCCATAACCAGTCCTCCCACCT

212
632327_266823
CTAAGTCCCAGCCTTTAAGTCCTCCTGTTGCAGTTCGTCGCCTGCAG

86_Target8.3_5
CTTCGAGAGGAGTTGGATCGATCTTCTTGTGGAAACGTCCTCTTCAAT

GGTTACCTGCCGCCACCAGGTAGGC

213
632327_266823
GAACTACACCTCCCACTGTATCTCAGGACGCACAGCACAGGCACCC

86_Target8.3_6
GAGAGCTGCAGCCTTATGGGAAATGTAGTCTTTGGCCCACCTCCGCG

CCCCTCCATTCCATTGGGAGTGCCTAC

214
632327_266823
TAGTTCCCTATCAGATGCTTGGGCTGATGCTTGGAAAGGAAGTTGGA

86_Target8.3_7
CACAGCATTTCCCATGAGACAATGGGCCAGCTAACTCTTGAGGCTCA

GAAGGATGTCCTGGAGCCCCATGGGA

215
632327_266823
GGCTATCATGGGCATTACTGTCAATAACTTCCTATTAATATTTCTCCC

86_Target8.3_8
CTCCATACGAAGAATCCCAGGTCTTCCAAAGCCCCCCCTACAAAGAA

ACCAAACCCGGACTACAACTCCCAT

216
632327_266823
ATAGCCAGCCCACTGGCCATGGAAGGTATGCCCCAGTGGTTATTGGA

86_Target8.3_9
ACTAGGCTTTTCTGATTGGTAGAAGTAACAGAGTAGGGAAATTTCATC

TACAGCTTTATTTCCCTAACTGCAG

217
632327_266823
CTGCAGTCAGCACCTGCTACCTTCATGAAAGTTGCCAGATATAAAGAT

86_Target8.3_1
CTGTAGTAGTACTTTTCCAACTTAGTTTTATCCTGTTTTCCGAAAAACA

0
ATCATTTATTTATTTATTTATTT

218
632327_266823
CATTATATACAACCCAAGGCTTGCCACAAACTGAAATTTCTTATGCAT

87_Target5.1_1
TGACATTCAGCATTTGATGTAAAATGACAATCTTAGAGTCGCTGCCAC

AAACCCTGGTAAAACTGCCCCTGC

219
632327_266823
CTTCTCCAGTTCACTAAGTTCAGCTACTCCTTCAGGGCTTGTGCTCCT

87_Target5.1_2
TTAAAACTTTTCAGAAGCCCCTTGAAGTACCAACATGTTGAAACTCAA

ACTCAACTGCCTGCAGCTTCAGAT

220
632327_266823
CAGCTCTGGCCACTGAGAATTCTTCTCCAGGCCCCAGTGTCAAAGGC

87_Target5.1_3
ACTTTTGACCATCATGTGTTTGTCTGACTACCAAGTTGGACTGCCAAC

CTTCACTAAAAACTCCGGCACCTTT

221
632327_266823
ATCTACCTCCTGTCAGATCACCGCCTGTCAGAGAGGGAGGCCTAAAA

87_Target5.1_4
AGGCTTCAGGATATCAACAGCTTTGAGCTGCCTTAGAGGAACTTCTTT

TCTATTTTGTAGTACAGGAGCCTCA

222
632327_266823
TGCACTGCATCATCCAAACAAGACTCTCCACAAAACATTACTAATGGA

87_Target5.1_5
TTCTAATTGAACAGAGTTTGGTTACAAGAGACAGTAAACACAAATGGG

CACCTGTTTTAAATGGCAAACTTA

223
632327_266823
CACAATAAATTCAATTGATCTTAAAAACTAAACATTCCTCTAAGGTTAC

87_Target5.1_6
TGACTATAAATATCTAGAAATTACTACTCCTATAGTCTTGCTATTTCCA

GACAAGTGAAACTGGAAGGGAG

224
632327_266823
AGAGGAGAAATACCCAGTTATAATGACAAGACAACCTTATCTTTTCTC

87_Target5.1_7
AAAAGCCTCCCCAAACACACAACCATTTTCCACAAAACAGTTACATCA

AAAAAGATGTAGCAAGACCTAGAC

225
632327_266823
ATTAAGCATGCTAGAAAGTAGGGACAGTTTTACCAGTGTTTGTGGCA

87_Target5.1_8
GCAACTCTGAGATAGTCATTTTACATCAAATGCTAAATGTCAATGCAT

AAGAAATTTCAGTTTGTGGTAAGCC

226
632327_266823
CTGGGTTATATATAATGGCAACAAGAGAAAACTATCACATAATCTGAA

87_Target5.1_9
TTACGTTCATTTTTCTGCATACACCATGCATGCTGGTACACTTTCAGTT

AGCCTAAACTTCACCCAAAAGTA

227
632327_266823
GAGGTGGCTATGAAAACTCTACCTGCATGGTATAAATAGATACCTAAC

87_Target5.1_10
CCTACATGCATGGGTCACTTGTATCTACCTCCTAAATACCAAAAACTT

AGAAGCCCAGATTTCTTTTCAGTC

228
632327_266823
AAAAACAAAACAAAACAAAAAATTACCCTTCCCCACAATTATAAGCATT

87_Target5.1_11
TTGGCATATTTCCTTCCTGTCTCTGTTGTTCCTATTTTGGCAGTATTTT

TATTGTTATCGCAGGCAGCCT

229
632327_266823
GCCGCACACCTTATACCTCTCCCCTTTAAAACAGACATATTAAAGACT

88_Target5.2_1
TCTGTTTTCTGAATTTACTGTAAACAGAATACTTAAAAAAAAATTACCC

AGACAGGCGTGGTGGCTCACTGT

230
632327_266823
TGAACAAACTGCATTAGACTAAAATCTTTCACGAGTCCAAATTCTGCG

88_Target5.2_2
ACTAGAAAAATAAACTTGTTAGCCGCACACCTTATACCTCTCCCCTTT

AAAACAGACATATTAAAGACTTCT

231
632327_266823
ACTTACTTTCTTGTTCTGACTCAACTCGGAAAACACCTCCCTAGTCTG

88_Target5.2_3
AGGCCCCCCTCCTTATATTTGTGAACAAACTGCATTAGACTAAAATCT

TTCACGAGTCCAAATTCTGCGACT

232
632327_266823
TTTCCACTATATCACACTGCACTGTCTGGCTCCAATCTGATGGCGAG

89_Target5.3_1
CAATGGTTCCTTAAAAAGCTCCATCTTCTCAAGCCTACCCAGCACAGA

CCTACAACTCAAACTTTAAGTTTTA

233
632327_266823
AGCCAGCCTAACCTTCCACGTCCACTTGAAAAAAGAAAAAAAAGAAA

89_Target5.3_2
GAAACAATCAACCGGAAGCCTTTGATTTTTTTGCTAGCAAGAAGCCAA

TAATTGTTTTCTTTGGGACAATCAC

234
632327_266823
CAGGTTAAGTTGTGAAATGGGTGGCAGAAACTGCAAGATTTAACCAG

89_Target5.3_3
TTTCTCTCAACGCTAATCAAAGGTCAAGAAAATAAAAGACAGGGCAGT

GAGAGTCGCGGGACTTTAGACACTC

235
632327_266823
AGTGTGGAAACCCCTTCCCCACTCAGTCCAATTTCAAGGTTATGGAG

89_Target5.3_4
CATAATTAAGAGTGACCATTCTAAAAGCGTTCTCTAGTGCCCTGGCTA

AGACTTTTAAGCTTCTTGGTGCAGG

236
632327_266823
AGAAGCAAAGATGATGTCTGTCACCTGGCAGCGTAGACGGAGAGTG

89_Target5.3_5
GCGGTAGATGACTTGAATGGACACGTGGATTCGAGTCTGGGGACAG

GCGTTCCCCCAGTCGGTGCGTTGTGAGA

237
632327_266823
TCAATTTCAAAAAATGCCAGCACTCCTTAGATCAATGACTCCACGGCC

89_Target5.3_6
AAGTGCAAGGGCCACGGGCACTCCTCTGGAGTCACCGAGAGAATGT

CTGCCTCTGGCAGCGGCCTCTGAGCT

238
632327_266823
GGCCCCCGCCTGCCCAGAGGCCGGGCTCGCGGGCGTTCGGACCGC

89_Target5.3_7
GCGTGGGGCGAGACTGCACTCGCGCCCGCTGAGATGCCGGCCCCA

CGCAGCGCGGCGGCACGAGGCCCACAGGCA

239
632327_266823
CGCGGACGAGGGCAACGTCAGCGGCCCAGCTGGGCCACCTCCTCC

89_Target5.3_8
CAGCCGAAGCGCGGCCTCCGGCTGCTTCGCCGGGCCGGTCCCCGC

CGCCGCACACACAAGGGTCGGTCCCGCGCG

240
632327_266823
CTGCCCGCGGCCCCGCTTCCCTCGGCAGCCGGAGGCCTCCGGGGT

89_Target5.3_9
GCCCGTGCTGCCGCAGCTTCCTGTGTCTGAGTCGCGGGCGGCGCG

GGCGCGGGGCTGGTGCGCGGCCGGGGATGC

241
632327_266823
GGGCCCCGGCCGAGGCGCCGGCTGACGTTGCCCTTCAGGGCCGAG

89_Target5.3_10
CCCGGAGCAGCGGCCGCCGCGGAGGCGCGTGAGCCACCCCAGGCT

CGTGGGGCCGCGCCGCCTTTCCGGCCTCC

242
632327_266823
GCCGCGGGAGCAGGCGCGGCTCCGCACGGCGGGCGCACTCACCTC

90_Target5.4_1
CTCCGTGGACCGGCCGCTCCGCCGCCGGCTGTCACTGCAGCCCACT

CCCTGCCCCGCGCCGGCTCTGGATGCTAT

243
632327_266823
TCTGGATGCTATTTAAGGCGCCGCTGGCGCCGCCGCCTCGGCCCGC

90_Target5.4_2
TGGTTGCGCCCCCGCCACCGCCGCGGCTGAGCCAGGATGCTGCTG

GTGCGCTCGCCGCGCCGGCCCCGCCCTCC

244
632327_266823
CGCCGAGCGCCCGGCCGCCCTCCTGTCTGGGCGCGCGTGGCTGGC

91_Target5.5_1
GGGTGGCCGGCGGTCGAGAGGCTGCGGCGGGCGAACGCCGCTGG

AGTCGCCCAGACTGCCTCGGATTTCATAATG

245
632327_266823
CAGGATCCGGAGGGCGCCGCCCGCCCCTCGGGCATCGCGGGGCCC

91_Target5.5_2
AGGGTCCGCGGGGCCTCTGAGCTGAGGCGGTCCAATGTACCCTTTG

TCCTTCCTCAGATTCATTATGAAATCCGA

246
632327_266823
GCCCTCCGGATCCTGCACCCTCAGCCCGTGCCCCGCTGGCCTCCTG

91_Target5.5_3
GCAGGCCGGGCAGAATTCTGCTGCGAGGGCCCTGGAGGCAAGGGC

CTTCCTCTCCGTTTTTCCTTGACACTGAC

247
632327_266823
TTCCTTGACACTGACGGGCGCGGCCCCACAGGGTTTCCCCCACGCT

91_Target5.5_4
CCCTGGCCGGAAGACCTTTTCTGTCTGGTGTCTGCAGAGCCTGACGT

GGGCAGCGCCCGCAGCTCGCGCCGGTG

248
632327_266823
TGGGCATGGCAGGGACGCGGAAGCCCTCAGAACCGCGGAAGCCCT

91_Target5.5_5
CAGAACCGCACAGCAGGTGGCCGCCGTGGTGCAGCGCGCAGTCGG

CCCTCAGCTCCCCTGCACCGGCGCGAGCTG

249
632327_266823
GTTGTTAGAGGTTGAGGTTCCTGGTAGGTCCCAGGTGCTAAAAGGAA

91_Target5.5_6
GAGCAGCCTTTGGGATGTGAGCCCGAAAACCATCGTGTTGGCTTCTG

AAGCCCCAAGATGGGCATGGCAGGGA

250
632327_266823
TCAACCTCTAACAACATTGGTCCCCGTTACCGTGGAGTTTGCGCCCA

91_Target5.5_7
GCGTTCGCTGGAGGGCCGTTTGAAGAATGATTGTTGTCGTAAAGGCC

TTTGATAATAATAGATACTGTTTACC

251
632327_266823
GTCAGTTTCCCCTGCCTGCAGCCCAGGCATAGCCCTGCGTTGGTTGT

92_Target5.6_1
GCCCACACTCTGGGGGCAGCCTGAGTGCCAAGTGTGGTACTGCTCT

CACTAGCATTTAACCTCTGTGCCCCAG

252
632327_266823
TGCGCCCAGCACACTGTGGGAGACACCCAGGGAAAGTCCTTCAGTT

92_Target5.6_2
ATTTGTGGGAGTGAACTGCAGTGTGGCTGAGGCCTGGAGCGAACCA

CGGTCAGTTTCCCCTGCCTGCAGCCCAG

253
632327_266823
CCATTTTTTCTAGATCTGGAAGATGGAGATCTAAAAGGACTGAGCTGC

92_Target5.6_3
TAGAGAGGTTGCTGGTGTGTGCGTTGTCCTCACCCCACTGCACCACT

GCGCCCAGCACACTGTGGGAGACAC

254
632327_266823
CCATCTTCCAGATCTAGAAAAAATGGACTCCACGTTCGTTTTCACTGG

92_Target5.6_4
TTCCCGCTTGGCTAATCCCTGGTTTTTCTGTCCAGATCTCGCCTCCCC

ATCCGTGATTTTGTCATCTTTGCC

255
632327_266823
CCATCCGTGATTTTGTCATCTTTGCCTCTCCTTTTTCCTCTTCTCCAAC

92_Target5.6_5
CGGTCCCTCAGCCCCAGAACCTCTGCAGGCACCTCCCAAGTTCTGT

GGTCTATTGTTTTCAAGGGCTGCTG

256
632327_266823
TGACAATTCAACCCGTAACATGTGGATGGTCGTCACTGGCTGTCTCA

93_Target5.7_1
CCTTACGTCTTCTCCTCAAGACACTTTTCTTTTAAACTGGGTGCCTCT

CCCTGGGCTCTAGCCCTTAATGAGG

257
632327_266823
AAGACACTTTTCTTTTAAACTGGGTGCCTCTCCCTGGGCTCTAGCCCT

93_Target5.7_2
TAATGAGGTGATTTCCAACTCAAGGCTGGGAAAGGCACACAACCCAG

TATCAGACCTGAGTTCACACTCCTT

258
632327_266823
CCCATACATTGTAAAACTTTTTGGAGTGATTAGATAAAAACTTTTTTGT

94_Target5.8_1
TTTTTTTTAAGTGTGTGTGCTGAAAGAGACCTAAGAGATTATTTAGCC

AAGCCCCCTTATAGCCTGAGGAG

259
632327_266823
TCTTAACCACTATGCAATACTGCCTCCCATCAAAGTCTCTATCTCAAG

94_Target5.8_2
TCCACAAGACAACCCCATACATTGTAAAACTTTTTGGAGTGATTAGAT

AAAAACTTTTTTGTTTTTTTTTAA

260
632327_266823
GACAGGTGTCATAGGATTGACAGCCACGCCCTTGGCGTTCTCATTAA

95_Target5.9_1
ATGAAGATTCCAGACTCTATAGTTGGGAGTTTGTGACTTAGGTAAGAA

ACCAGTCTCTTTTTTTGAGACGGAG

261
632327_266823
TGTCATAGGATTGACAGCCACGCCCTTGGCGTTCTCATTAAATGAAG

95_Target5.9_2
ATTCCAGACTCTATAGTTGGGAGTTTGTGACTTAGGTAAGAAACCAGT

CTCTTTTTTTGAGACGGAGTCTCAC

262
patch
CTCTGTCGCCCAGGCTGGAGTGCAGTGGCACAATCTCTGCTCACTG

CAAGCTCCGCCTCCCGGGTTCACGCCATTCTCCTGCCTCAGCCTCCC

GAGTAGCTGGGACTACAGGCGCCCGCT

263
patch
GCCCGCCTCGGCCTCCCAAAGTGCTGGGATTACAGGCGTGAGCCAC

CGCGCCCGGCCCACAGCTCTAGTTCTTTAATACACATCAGGTCGGTC

ATGGTGGCTCATGCCTGTGATCCCAGC

264
patch
TTGCTATGTTGCCCTGGCTGGTCTTGAACTGCCAGCCTTCAGGGACG

CTCCTGCCTTGACCTCCCCAAATGCTGGGATCACAGGCATGAGCCAC

CATGACCGACCTGATGTGTATTAAAG

265
patch
GAGCGTCCCTGAAGGCTGGCAGTTCAAGACCAGCCAGGGCAACATA

GCAAGACCCCATTTCTACAAAAAATTAAACAGCCAACCAAAAAAAAAA

AAAAAAAGAAAGAAAAACTTTAGCTG

266
patch
CCTGGGCTCAAGCAATTCTCCTGCCTCAACCCCCCAAGTAGCTGGGA

CCACAGGCATGCTCCACCATGTCCAGCTAAAGTTTTTCTTTCTTTTTTT

TTTTTTTTTTGGTTGGCTGTTTAA

267
patch
GACAGGGTCTGGCTGTGTCACCCAGGCTGGAGTGCAGTGGTGTAAT

CATGGCTCACTGCAGCCTCGACCTCCTGGGCTCAAGCAATTCTCCTG

CCTCAACCCCCCAAGTAGCTGGGACCA

268
patch
CATGATTACACCACTGCACTCCAGCCTGGGTGACACAGCCAGACCCT

GTCTCAAAAAATATATATGTATATTTTAAAATATTATATATTATATAATG

TAAATAATATACATGCTACATAT

269
patch
TTTTAAAATATTATATATTATATAATGTAAATAATATAGATGGTAGATAT

TTTATGTATACATCTATGTTATATACATTAATATAGCCAGGTGCAGTGG

CTCACACCTGTGTTCCCAGCA

270
patch
ATATACATTAATATAGCCAGGTGCAGTGGCTCACACCTGTGTTCCCA

GCACTTTGGCGGGATTACGGGCGGGTCACCTGAGGTCAGGAGTTCG

AGACCAGCCTGGCCAATATAGTGAAAC

271
patch
GGTCACCTGAGGTCAGGAGTTCGAGACCAGCCTGGCCAATATAGTG

AAACCCCGTCTTTACTAAAAATACAAAAAAAAAAAAAAATTAGCCAGG

CGTGGTGGTGGGCGTCTATAATCCCA

272
patch
AAAAAAAAAAAAAAATTAGCCAGGCGTGGTGGTGGGCGTCTATAATC

CCAGCTATACAGGAGGCTGAGGCAGGAGAATTGTTTGAACCCGGGA

GGCGGAGATTGCAGTGAGCTGAGATCG

273
patch
TTCCCCTTTGGATTTTTTTTTTTTTTTGAGACAGAGTCTCGCTCTGTCA

CCAGGCTGGAGAGCAGTGGTGCGATCTCAGCTCACTGCAATCTCCG

CCTCCCGGGTTCAAACAATTCTCCT

274
patch
GTGCTGATGGTAATAACCTTGACCACGTGGTCAGGGCATCTGCCGGT

TCCTGCACTGTCCAGTTACTGTTTTGGCCTTTGGATTTTTTTTTTTTTTT

GAGACAGAGTCTCGCTCTGTCAC

275
patch
GGGAGTCCCGGGCGTGGCGTGTGTCTGTCTCAGGCCCCCCACGTC

GAAGCCCATGGCTTCGGCCTGTCTCGTGCTGATGGTAATAACCTTGA

CCACGTGGTCAGGGCATCTGCCGGTTCC

276
patch
ACTCAATGGAGGGAGTCCCGGGCGTGGCGTGTGTCTGTCTCAGGCC

CCCCACGTCGAAGCCCATGGCTTCGGCCTGTCTCGTGCTGATGGTA

ATAACCTTGACCACGTGGTCAGGGCATC

277
patch
CCTCTAACCCTGGGGTGATTCTGCCCCCAGGGGTCCCTGTGTGAGG

CCTGGAGACATCCGTGGTTGTCACGACTTGGAGGGAGCTCCTGGCA

GGGCCCTGCAGTGCCCAGGATGGCCCCG

278
patch
CTCAGAGTCTCTTGGGGTCTGTGGAATCCTCTAACCCTGGGGTGATT

CTGCCCCCAGGGGTCCCTGTGTGAGGCCTGGAGACATCCGTGGTTG

TCACGACTTGGAGGGAGCTCCTGGCAG

279
patch
AGGGAGCCAAGATCGTGCCACTGCACTCCAGCCTGGGCAACAGAGC

AAGACTCCATCTCAAAACATAAATAAATAAAAATAAAAAATAAAAAATC

CAGTCTGCCCCCTGCTCACACCGGA

280
patch
TCTTGCTCTGTTGCCCAGGCTGGAGTGCAGTGGCACGATCTTGGCTC

CCTGCAACCTTCGCCTCCCAGGCTCAAGTGATTCTCCTGCCTCAGCC

TCCTGAGTAGCTGGGACTACAGGCGC

281
patch
ACCAGCCTGGCCAACATAGTGAAACCCCATCTCTACTAAAAATACAAA

AATTAGCTGCGCGTGTTGGCGGGCGCCTGTAGTCCCAGCTACTCAG

GAGGCTGAGGCAGGAGAATCACTTGA

282
patch
GCCTCACACCTGTAATCCCAGCACTTTGGGAGGCCGAGGCGGGTGG

ATCGCCTGAGGTCAGGAGTTCAAGACCAGCCTGGCCAACATAGTGAA

ACCCCATCTCTACTAAAAATACAAAAA

283
patch
CGATCCACCCGCCTCGGCCTCCCAAAGTGCTGGGATTACAGGTGTG

AGGCACCGCACCTGGCCATTTTTTTCCCCAAATAATGAACACTGGTCT

CTCCCCTGGGCCCTGTGGACATCGGG

284
patch
GTGGAGGCCAAGGATGATGCCTAGCACCCTGCAGTGCCCAGGACGG

GCCTGCCCCAGAGAAGGATCCAGCCCCGATGTCCACAGGGCCCAGG

GGAGAGACCAGTGTTCATTATTTGGGGA

285
patch
AGGCCCGTCCTGGGCACTGCAGGGTGCTAGGCATCATCCTTGGCCT

CCACCCACTCCATGCCAGGAGCTCCCCTTTCGTGACAGCCACAGGT

GTCCTCAGACCTCGCCCAGGGTCCCCTG

286
patch
TGGGGGTTTTCTTCCCCCTTTAAGGCCAGGATTCTCAATCAAGAGGT

GATTCTGCCCCCAGGGGACCCTGGGCGAGGTCTGAGGACACCTGTG

GCTGTCACGAAAGGGGAGCTCCTGGCA

287
patch
GAATTCGCCTGTTACTAGCTAATTCCCAAAACAGCTCCTCAGGAGGG

AAGGGCTGGGTTTTGCCCGTTTTACAGATAGGCAACTGAGTCAAATG

GCCAGGGCTCCCCCTTGCCCTTGTCC

288
patch
CTTCCCTCCTGAGGAGCTGTTTTGGGAATTAGCTAGTAACAGGCGAA

TTCCTGGACAGCACCCAGCCTTCAGCAAATGCTCAGTGAATATGCAT

GAATGAATGAATGAGTGAATGAATGA

289
patch
CCCCTCAGGTCCCTATCCTGAGGGTGATTTTCTTTTTCTTTTTCTTTTT

TTTTTTTTTGAGACGGAGTCTCGCCCTGTCGCCCAGGCTGGAGTGCA

GTGGCGCGATCTCGGCTCACTGCA

290
patch
CGCCCTGTCGCCCAGGCTGGAGTGCAGTGGCGCGATCTCGGCTCAC

TGCAAGCTCAGCCTCCCGGGTTCACGCCTTTCTCCTGCCTCAGCCTC

CCGAGTAGCTGGGACTACAGGCGCCCA

291
patch
AGACCATCCTGGCTAACACCTTGAAACCCCGTCTCTACAAAAATTACA

AAAAATTATCCAGGCATGGTGGTGGGCGCCTGTAGTCCCAGCTACTC

GGGAGGCTGAGGCAGGAGAAAGGCG

292
patch
CGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCTGAGGCAG

GCGGATCACGAAGTCAGGAGATCGAGACCATCCTGGCTAACACCTT

GAAACCCCGTCTCTACAAAAATTACAAA

293
patch
CCGCCTGCCTCAGCCTCCCAAAGTGCTGGGATTACAGGCGTGAGCC

ACCGCGCCTGGCCCTTTTTTTTTCTTTTTTGAAACGGAATCTTGCTCT

GTCGCCCAGGCTGGAGTGCAGTGGTG

294
patch
GCTACTCAAGAGGCGGAGGCAGGAGAATCATTTGACCCCAGGAGGC

TGAGGCTGCAGTAAACTGAGATTGCACCACTGCACTCCAGCCTGGG

CGACAGAGCAAGATTCCGTTTCAAAAAA

295
patch
GTGGTGAAACCCCATCTCTACTAAAAATACAAAAACTAGCCAGGTGT

GGTGGTGTGTGCTTGTAATCCCAGCTACTCAAGAGGCGGAGGCAGG

AGAATCATTTGACCCCAGGAGGCTGAG

296
patch
TTTGCAGATGAACAAACTGAGGCATTGAAAATCCCCCTCAGGTCAGG

AGTTCGAGACCAGCCTGACCAACGTGGTGAAACCCCATCTCTACTAA

AAATACAAAAACTAGCCAGGTGTGGT

297
patch
AACAAAACAAAACAAAATAAAAAAAAAGAAGCAAAAAAAAAAAAAAAA

ATCAGCCAACAAAGAGACCCATTTTGCAGATGAACAAACTGAGGCAT

TGAAAATCCCCCTCAGGTCAGGAGT

298
patch
AAAAAAAAAAAAAAAAAAAAAAAATCCTGGGCGCAGTGGCTCATGCCT

GAGTGAGACCCCATCTCAAAAAAACAAAACAAAACAAAATAAAAAAAA

AGAAGCAAAAAAAAAAAAAAAAAT

299
patch
TCAGGCATGAGCCACTGCGCCCAGGATTTTTTTTTTTTTTTTTTTTTTT

TGAGACAGAATCTCACTCTGTTGCCCAGGCTGGAGTGCAGTGGTGTG

ATCTCGGCTCACTGCAACCTGTGC

300
patch
TGCCCAGGCTGGAGTGCAGTGGTGTGATCTCGGCTCACTGCAACCT

GTGCCTCCTGGGTTCAAGCGATTCTCCTGCCTCAGCCTCCCAGGCA

GCTGAGATTACAGGTGCGAACCACCACA

301
patch
TCCTGCCTCAGCCTCCCAGGCAGCTGAGATTACAGGTGCGAACCAC

CACACCTGGCTAATTTTTTTTTTTTTTTTTTTTGAGACGGAGTGTCATT

CTGTTGCCAGGCTGGAGTGCAGTGG

302
patch
TACTCCGGAGGTTGACGCAGGAGAATCGCTTGAACCCAGGAAGCGG

AGGTTGTGGTGAGCCAAGATCGCCCCACTGCACTCCAGCCTGGCAA

CAGAATGACACTCCGTCTCAAAAAAAAA

303
patch
ACCTCCGCTTCCTGGGTTCAAGCGATTCTCCTGCGTCAACCTCCGGA

GTAGCTGGGACTACAGGCACGTGCCACCACGCCCAGCTAATGTTTGT

ATTTTTAGTAGAGACAGGGTTTCACC

304
patch
CCACCACGCCCAGCTAATGTTTGTATTTTTAGTAGAGACAGGGTTTCA

CCATGTTGGCCAGGATGGTCTCCATCTCTTGACCTCAGGTGATCCAC

CCACCTCGGCCTCCCAAAGTATTGG

305
patch
CATCTCTTGACCTCAGGTGATCCACCCACCTCGGCCTCCCAAAGTAT

TGGGATTACAGGCGTGGGCCAACCGCACCCGACCAATTTTTCTGCTT

CTTTAAAAACATTTTTTTAAATTTTG

306
patch
CGCACCCGACCAATTTTTGTGCTTCTTTAAAAACATTTTTTTAAATTTT

GTTTTAGAGACAGGGTCTTGCTCTGTTGCCCAGGCTGGAGTGCAGTG

GTGTGATCTCAGTTCACTGCAGCC

307
patch
TCTGTTGCCCAGGCTGGAGTGCAGTGGTGTGATCTCAGTTCACTGCA

GCCTTGACCTCCTGGGCTCAAGCGATCCTCCCTCCTCAGCCTCCCAA

GTAGCTGGGACGACAGGTGCACACCA

308
patch
TCAAGACCAGCCTGGGCAAAATTGTGAGGACCCCATCTCTACAAAAA

ATTTTAAAATTAGCCAGGCATGGTGGTGTGCACCTGTCGTCCCAGCT

ACTTGGGAGGCTGAGGAGGGAGGATC

309
patch
GCAGTGGCTCACGCCTGTAATCCCAACACTTTGGGAGGCCGAGGCA

GGAGGCTCCCTTGAGCTCAGGAGTTCAAGACCAGCCTGGGCAAAAT

TGTGAGGACCCCATCTCTACAAAAAATT

310
patch
AGGCTGGTCTTGAACTCCTGAGCTCAAGGGAGCCTCCTGCCTCGGC

CTCCCAAAGTGTTGGGATTACAGGCGTGAGCCACTGCACCCAGCCA

CCTGGTCTGCGTCTTAAAAGCCTTCCTG

311
patch
GAGGTGGAATCACTTGAGCCTGCAGTGAGCTGAGATTGTGTCACTGC

ATTACAGCCTGGGCAACAGAGGGAGACCCTCTCAAAAAAATAAAAGG

CACGCACGCCCCCAAACCTGAAATGA

312
patch
AATGCAGTGACACAATCTCAGCTCACTGCAGGCTCAAGTGATTCCAC

CTCAGCCTCCCGAGTTGCCTGGATTATAGGCACACACCATCATGCCT

GGCTAATTTTTGGGTTTTTGTTTTTT

313
patch
TGAGCAACATATTGAGACCTCATCTCTACCAAAAACAACAAAAACAAC

AAAAAAAACCCCTAAAAAACACAAAAAACAAAAACCCAAAAATTAGCC

AGGCATGATGGTGTGTGCCTATAA

314
patch
TTGTTGTTTTTGTTGTTTTTGGTAGAGATGAGGTCTCAATATGTTGCTC

AGGCTGTTCTCCAACTTCTGGGCTCAAGCCATCCTCCTGCCTCCCAA

AGTGCTGGGATTACAGATATGAAC

315
patch
CAACCCCAAGAATAGAAAAGGCACTCACTGGCCAGTCGAAGTGGTTC

ATATCTGTAATCCCAGCACTTTGGGAGGCAGGAGGATGGCTTGAGCC

CAGAAGTTGGAGAACAGCCTGAGCAA

316
patch
GCTCTGAAGGAAAAGCAGGCCAAGTGGGTTTCTTCCTTTTTTTTTTTT

TTTGAGATAGAATCTCTTGCTCTGTCACCCGGGCTGGAGTGCAATGG

CACAATCTTGGCTCACTGCAATCTC

317
patch
TGTCACCCGGGCTGGAGTGCAATGGCACAATCTTGGCTCACTGCAAT

CTCCGCCTCCCGAGTTCAAGCAATTCTCCTGCCTCAGCCTCCTGAGT

AGCTGGGATTACAGGCGCGTGACACC

318
patch
TTCTCCTGCCTCAGCCTCCTGAGTAGCTGGGATTACAGGCGCGTGAC

ACCATGCCTAGCTAATTTGTATATTTTTAGTAGAGACAGGGTTTCA

CCATGTTGGTAAGGCTGGTCTTGAA

319
patch
TATTTTTAGTAGAGACAGGGTTTCACCATGTTGGTAAGGCTGGTCTTG

AACTCCTGACCTCGTGATCCGCTGGCCTCGGCCTCCTAAAGTGCTGG

GATTACAGGTGGGAGCCACCGCACC

320
patch
TGGCCTCGGCCTCCTAAAGTGCTGGGATTACAGGTGGGAGCCACCG

CACCAGGCCTCTTTTTTTTTTTGAGACGGAGTCTTGCTCTGTCGCCCA

GGCTGGAGTGCAGTGGCGCGATCTCG

321
patch
GACGGAGTCTTGCTCTGTCGCCCAGGCTGGAGTGCAGTGGCGCGAT

CTCGGCTCACTGCAAGCTCTGCCTCCTGGGTTCACGCCATTCTCCTG

CCTCAGTCTCCCGAGTAGCTGGGACTA

322
patch
CCTGGGTTCACGCCATTCTCCTGCCTCAGTCTCCCGAGTAGCTGGGA

CTACAGGCACCTGCCACTACGCCTGGCTAATTTTTTGTATTTTTAGTA

GAGACACAGTTTCACCGTTTCTACC

323
patch
AAGGAATGAGGAGCCCCAGGAGGTCTTGGTAAGAGATAAAAAAACAG

GAGGGGGCCCTCTCTGGCTCTATGGTAGAAACGGTGAAACTGTGTCT

CTACTAAAAATACAAAAAATTAGCCA

324
patch
ACCTGTAATTCCAGCACTTTGGGAGGCCGAGGCGGGCGGATCACAA

GGTCAGGAGATCGAGACCATCCTGAAGGAATGAGGAGCCCCAGGAG

GTCTTGGTAAGAGATAAAAAAACAGGAG

325
patch
GACCTTGTGATCCGCCCGCCTCGGCCTCCCAAAGTGCTGGAATTACA

GGTATGAGCCACCGCACCCGGCCTTTTTTTTTTTTTTTTGAGAAGCAG

TCTCTGTTGCCCAGACTGGAGTGCA

326
patch
TTTTTTTTTTTTTTTTGAGAAGCAGTCTCTGTTGCCCAGACTGGAGTG

CAGTGGCACGATCTCAGCCCACTGGAACCTCTGCCTCCCGGCTTCAA

GCAATTCTCCTACCTTGGCCGCCCA

327
patch
TGGAACCTCTGCCTCCCGGCTTCAAGCAATTCTCCTACCTTGGCCGC

CCAAGTAGCTGGGATTGCAGGCGCCCACCACCATGCCCAGCTAATTT

TTTTTTTTTTTTTTTTTAGACGGAGT

328
patch
CCCACCACCATGCCCAGCTAATTTTTTTTTTTTTTTTTTTTAGACGGAG

TTTCGCTCTTGTTACCCAGGCTGGAGTGCAAGGGCGCGATCTCGACT

CACCACAACCTCCGCCTCCTGGGT

329
patch
TGGAGTGCAAGGGCGCGATCTCGACTCACCACAACCTCCGCCTCCT

GGGTTCAAGCGATTCTCCTGTCTCAGCCTCCCAAGTAGCTGGGTTTA

CAGCCATGTGCCACCACGCCCAGCTAA

330
patch
CTGAGGTCGGGAGTTTGAGACCAGCCTGACCAACATGGAGAAACCC

CGTTTCTACTAAAAAAATACAAAATTAGCTGGGCGTGGTGGCACATG

GCTGTAAACCCAGCTACTTGGGAGGCT

331
patch
ACTTGAGGCCAGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTT

GGGAGGCTGAGGTGGGCGGATCACCTGAGGTCGGGAGTTTGAGAC

CAGCCTGACCAACATGGAGAAACCCCGTT

332
patch
AAGAAATAGCCCCTCAGAAACCCACTTGAGGCCAGGCGCGGTGGCT

CACGCCTGTAATCCCAGCACTTTGGGAGGCTGAGGTGGGCGGATCA

CCTGAGGTCGGGAGTTTGAGACCAGCCT

333
patch
GGAGGTCAGACTTCAGAAAGGACTTCCCTCTTTTATTTTTTTTTCTGA

GACGGAGTCTTGCTCTGTCGCCCAGGCTGGAGTGCAGTGGTACAAT

CTCAGCTCACTGCAACCTCCACCTCC

334
patch
CAGGCTGGAGTGCAGTGGTACAATCTCAGCTCACTGCAACCTCCACC

TCCTGGGTTCAAGCGATTCTTCTGCCTCGGCCTCCCAAGTAGCTGGG

ACTACAAGCACCTGCCACCACGCCCG

335
patch
TGAGGTCAGTTCCAGACCATCCTGGCCAATATGGTGAAACCCCGTCT

CTATTAAAAATACAAAAATAAGCCGGGCGTGGTGGCAGGTGCTTGTA

GTCCCAGCTACTTGGGAGGCCGAGGC

336
patch
AAGTCCTGGCCGGGTGTGGTGGCTCATGCCTGTAATCCCAGCACTTT

GGGAGGCCGAGGTAGGCGGATCATGAGGTCAGTTCCAGACCATCCT

GGCCAATATGGTGAAACCCCGTCTCTA

337
patch
TGGCCAGGATGGTCTGGAACTGACCTCATGATCCGCCTACCTCGGC

CTCCCAAAGTGCTGGGATTACAGGCATGAGCCACCACACCCGGCCA

GGACTTCTCTCTTGAGAAGAAAGGGAAA

338
patch
TAAAATATGACTTTCGGGGATTGTTATGGTATTAATGAGGTAGTGGCA

GGTACATAGTAAGTGCTCAATAAATGGTAGTTCCTCATATTATTGCCC

CAGACTATTGCTAACCCTTTCCTT

339
patch
TTGTAAGTGGCAGGGCTGAGATCTGAACCCAGTCTGGCTCCTGACCA

CAATGTTACACTGCCCCTCAAAATAAAATATGACTTTCGGGGATTGTT

ATGGTATTAATGAGGTAGTGGCAGG

340
patch
TTGTGGTCAGGAGCCAGACTGGGTTCAGATCTCAGCCCTGCCACTTA

CAAGTATTGCGGGTTGGTCAGCCGGGTGCAGTGGCTCACGCCTGTA

ATCCTAGCACTTTGGGAGGCCGAGGCG

341
patch
TTTTAGTAGAGACAGGGTTTCCCCATGTTGGCCAGGCTGGTCTGGAA

CTCCAGACCTTAAGTGATCCCGCCGCCTCGGCCTCCCAAAGTGCTAG

GATTACAGGCGTGAGCCACTGCACCC

342
patch
TCTCCTGTCTCAGCCTCCCGAGTAGCTGGGATTACAGGCACGTGCCA

CCACACCCAGATAATTTTTGAATTTTTAGTAGAGACAGGGTTTCCCCA

TGTTGGCCAGGCTGGTCTGGAACTC

343
patch
TGGTGGCACGTGCCTGTAATCCCAGCTACTCGGGAGGCTGAGACAG

GAGAATCACTTGAACCCAGGAAGCAGAGGTTGCAGTAAGCCGAGAC

TGTGCCACTGCACTCCAGCCTGGGCAAC

344
patch
TCTAGGGACCCCAACCCAACCCTCAATACTTTTTTTTTTTTTTTTTTTTT

TTTAGACAGAGTCTTGCTCTGTTGCCCAGGCTGGAGTGCAGTGGCAC

AGTCTCGGCTTACTGCAACCTCT

345
patch
CAACAGAGCGAGACTCCGTCTCAAAAAACAAACAAACATTGAACACC

CCAACTTCTTCTCAGCGTCTGCTTCTAGGGACCCCAACCCAACCCTC

AATACTTTTTTTTTTTTTTTTTTTTT

346
patch
AGGAGGCGGAGGTTGTAGGAAGGCGGAGATTGCAGTGAGCCAAGAT

CGCTCCACTGCACTCCAGCCTGGGCAACAGAGCGAGACTCCGTCTC

AAAAAACAAACAAACATTGAACACCCCA

347
patch
AGCGATCTTGGCTCACTGCAATCTCCGCCTTCCTACAACCTCCGCCT

CCTGGGTTCAAGCGATTCTCCTGCCTCAGCCTCCTGAGTAGCTGGGA

CTACAGGTGTGCACCACCACACCCAG

348
patch
CCTCAGCCTCCTGAGTAGCTGGGACTACAGGTGTGCACCACCACAC

CCAGCTAATTTTTGTATTTTTAGTAGAGACAGGGTTTCATCATGTTGG

CTAGGATGGTCTCGATCTCTTGACCT

349
patch
AGAGACAGGGTTTCATCATGTTGGCTAGGATGGTCTCGATCTCTTGA

CCTTGTGATCCGCCCTCCTAGGCCTCCCAAAGTGCTGGTATTACAGG

CGTGAGCCACCGCGCCCAGCTCAATG

350
patch
CTCCCAAAGTGCTGGTATTACAGGCGTGAGCCACCGCGCCCAGCTC

AATGTTTTTTTACAAATCAGCACCTGTGAAAGGAAGGGAGAGGAAAC

ATAATTGGGCAGAGGGAGAAGTCAAAC

351
patch
GTGCTCAAGCAAGGTGAGGCAATCACAGAGCTCCCCGCCCTTGACC

CAGGTTTGTCCAGCCTGTGTTGCTGTTTGACTTCTCCCTCTGCCCAAT

TATGTTTCCTCTCCCTTCCTTTCACA

352
patch
TCAGCGTCTGCCTCTGGTGCAGACAGCGGCCTCACTGGAAGTCATG

CGTTTTCTGGGCAGCCTACACCCAGTGCTCAAGCAAGGTGAGGCAAT

CACAGAGCTCCCCGCCCTTGACCCAGG

353
patch
CCTTCAAGGAAGGACTTGCCCCAAGCTGCAGGGAGTGCAGGCTGCA

GACAGGCTCCAGCTGTCAGCTCCTTCAGCGTCTGCCTCTGGTGCAG

ACAGCGGCCTCACTGGAAGTCATGCCTT

354
patch
GGAGGTCAAATGACTTGCCCAAGATAACAGGGCTAGTGTTGTAAACA

CAGAGATGTGCTGGCCAGATCAGCCTTCAAGGAAGGACTTGCCCCA

AGCTGCAGGGAGTGCAGGCTGCAGACA

355
patch
CTGTGTTTACAACACTAGCCCTGTTATCTTGGGCAAGTCATTTGACCT

CCAAAGCGCCTTGTCTGTAAAAACAGGTAAAATAGTAATGGGATTCAT

GGCATTCTTATGAGGATTAAATGA

356
patch
ACAGGTAAAATAGTAATGGGATTCATGGCATTCTTATGAGGATTAAAT

GAGGTAATATGTGTAAAGCTTTTAACGACACTGCCTGGCACATAGTAA

GCATTCAGTACACTGTAAACATGA

357
patch
TAACGACACTGCCTGGCACATAGTAAGCATTCAGTACACTGTAAACAT

GAACCATTAGTATCTCCACTTTACAACTGAGGCTTAGAGGCAAAGTAG

TTTACAAAAGGCCACAAAGTCTGA

358
patch
AAGCATTCAGTACACTGTAAACATGAACCATTAGTATCTCCACTTTAC

AACTGAGGCTTAGAGGCAAAGTAGTTTACAAAAGGCCACAAAGTCTG

ACTTCAATTCCCTTGCCCTAAGCAC

359
patch
GGACCCTTCTACCACATACTAAAATTAAAATGGCCCAGGCCGGGTGC

AGTGGCTCACACCTATGTGAGCACTTTGGGAAGCCAAGGCAGGTAG

ATTACTTGAGGTCAGGAGTTCGAGACC

360
patch
CTTTGGGAAGCCAAGGCAGGTAGATTACTTGAGGTCAGGAGTTCGAG

ACCAGCCTGGCCAACATGGTGAAACCCCATCTCTTCTAAAAATACAAA

AATTAACCCAGTGTGGTGGCATGCA

361
patch
ACCCCATCTCTTCTAAAAATACAAAAATTAACCCAGTGTGGTGGCATG

CACCTGTAATCCCAAATACTCGGGAGGCTGAGGCATGAGAATCGGTT

GAACCCGGCAGGTGGAGGTTGCAGT

362
patch
GGAGGCTGAGGCATGAGAATCGGTTGAACCCGGCAGGTGGAGGTTG

CAGTAAGCGGAGATCACACCACTGCACTCCAACCTGGGCGACAAAG

TGAGACTCAGTCTCAAAAAATAAAATGA

363
patch
CACTCCAACCTGGGCGACAAAGTGAGACTCAGTCTCAAAAAATAAAA

TGAAATAAAATAAAGTGGCTCAAAGACTCAATTTAAGAGTTAAAACTAT

AAAACTCTTAGAAGAAAATATTGT

364
patch
AGACTCAATTTAAGAGTTAAAACTATAAAACTCTTAGAAGAAAATATTG

TTGAAAATCTTCATCACATTGGACTTGGCAACAACTGCATAAATAGGA

TACCAAAAGTACAAGGAAGAAAA

365
patch
GACTTGGCAACAACTGCATAAATAGGATACCAAAAGTACAAGGAAGA

AAAAATAGTAGGTAAATTGAACTTCATCAAATTAAGAACTTTTGTGCAC

CAAAGGACACTATCAAGAAAGTGA

366
patch
TCATCAAATTAAGAACTTTTGTGCACCAAAGGACACTATCAAGAAAGT

GAAAAAACCTGGAGAATGGAAGAAAATATTTGCAGATCATATATCTAA

CAAGGGATTAATATTCAAAATATA

367
patch
AAAATATTTGCAGATCATATATCTAACAAGGGATTAATATTCAAAATAT

ATATAGAACTCCTACAACTTGACAACAAAAAAACAAACAACCCAATTC

AAAAATGGGCAAAGTACTTGAAT

368
patch
ACAACAAAAAAACAAACAACCCAATTCAAAAATGGGCAAAGTACTTGA

ATAGACACTTCTCCAAAGAAGATATACTAATGGACAATAAATTCGTGG

AAATATGCTCAACATCGTTAGTCA

369
patch
TTCTTGATTATGGCCATCCTGGTTAGTGTGAAGTGGCATCTCATTGTG

GTTGTAATCTGCATTTCCCCAATGACTAACGATGTTGAGCATATTTCC

ACGAATTTATTGTCCATTAGTATA

370
patch
GTACATTCCCACCAGCAATGCACGGAGGATTCCAATTTCTCCACATC

CCCACCAAAACTTATTATCCATTTTCTTGATTATGGCCATCCTGGTTA

GTGTGAAGTGGCATCTCATTGTGGT

371
patch
GTGACTTGGTAGTTCTATTTTTAACCTTTTGAGGAACTGCCAAACTGT

TTTCCCCAATGACTGCACTATTGTACATTCCCACCAGCAATGCACGGA

GGATTCCAATTTCTCCACATCCCC

372
patch
AAACAGTTTGGCAGTTCCTCAAAAGGTTAAAAATAGAACTACCAAGTC

ACCCAGCAATTCCATTCTTAGGCATATATTCAAAAGAAATGAAAGCAG

ATATTTGTACACCAGTGTTCACAG

373
patch
CATATATTCAAAAGAAATGAAAGCAGATATTTGTACACCAGTGTTCAC

AGCTGCACTATTTACAATAGTCAAAAGGTAGAAACAACCTAGGTCCAT

CCACAAATGAATGGATAAATAAAA

374
patch
AAAAGGTAGAAACAACCTAGGTCCATCCACAAATGAATGGATAAATAA

AACGTAGCATATACATACAATGGTACACTAGTCCGCTGTAAAAAGAAA

TTTTGATCTTACTGCATGCTACAT

375
patch
GTACACTAGTCCGCTGTAAAAAGAAATTTTGATCTTACTGCATGCTAC

ATGGCTTCGACATACTACAACATGGATGGACCTTGAAAACATTATTCT

TTGTGAAATAAACTAGACACAGGA

376
patch
TGGATGGACCTTGAAAACATTATTCTTTGTGAAATAAACTAGACACAG

GACAAATGTTAGACGATTCCACTTATATGAGGCACCTAGAATGGGCA

ATTTGGTAAGCAAAGTAGAATAGAA

377
patch
ATCCCCAACATAAACTCTGTGACCATTAAACAGTAACTCCCCATTCCC

TGCTACCTGTGCCCCTAGTAATTTCTATTCTACTTTGCTTACCAAATTG

CCCATTCTAGGTGCCTCATATAA

378
patch
TCAGTGGCATTAAGTATATTCACAATGTCGTGTACCAATCACCACTCT

TTATCCCCGAAACTGTTTCATCATCCCCAACATAAACTCTGTGACCAT

TAAACAGTAACTCCCCATTCCCTG

379
patch
AAAGAGTGGTGATTGGTACACGACATTGTGAATATACTTAATGCCACT

GAATTTTACACTTGAAGTGGTTAAAGCGATAAATATTATAGTTTGCATA

TTTTATCATAAAAATATTTTTTT

380
patch
AAAGCGATAAATATTATAGTTTGCATATTTTATCATAAAAATATTTTTTT

AAACGATGAAGGGACGTGAACGGGTTGAAATTTTATAAAAAGTGGCC

AGGGAAGGTGTCACTGCAATGGT

381
patch
CGGGTTGAAATTTTATAAAAAGTGGCCAGGGAAGGTGTCACTGCAAT

GGTGTCCTACAGGAGGAGGAAGATCATGTGGACATCTGCGGGAAGG

GTGTTCTGGCAGAGGGAGTAGCACGGG

382
patch
TCATGTGGACATCTGCGGGAAGGGTGTTCTGGCAGAGGGAGTAGCA

CGGGCGATGGCTCTGAGGACTGTGAGAAGTATAGTTGGAAACAGCG

AGGAGGCCAGGGTGTCCGAAGCTGAGTA

383
patch
CTCCTCCTCACTCTCAGCAGAAACTGACCTTCCCCCTCTTATCTCACC

TCCTCCCACTCTCTCTGGCTTACTCAGCTTCGGACACCCTGGCCTCC

TCGCTGTTTCCAACTATACTTCTCA

384
patch
CGTGCACCTGCCACTTCAGCCCCACGGGTCTATAAAATGGGCATGAT

TATCGTGGCTACCTCACTGGTCCTGGCAATTAAGGAACAATGTGTGC

CAGGCACTCTGTAAACCACATACTTG

385
patch
CCCCACGGGTCTATAAAATGGGCATGATTATCGTGGCTACCTCACTG

GTCCTGGCAATTAAGGAACAATGTGTGCCAGGCACTCTGTAAACCAC

ATACTTGCGAGTGTCAAGCTGGTGAC

386
patch
TGTCTGAAAGGACCATTGAAGGGAGCAATTCTTTTTTTTTTTTTTTTTG

AAGATGGAGTCTTGCTCTGGACTCCAGGCTGGAGTGCAGTGGTGCG

ATCTCAGCTCACTGCAACCTCCACC

387
patch
CTCCAGGCTGGAGTGCAGTGGTGCGATCTCAGCTCACTGCAACCTC

CACCTCCCAGGTTCAAGCAATTCTCTTGCCTCAGCCTCCCGAGTAGC

TGGGACTCCAGGTGCGTGCCACCACGC

388
patch
CAGGAGTTTGAGACCAGCCTGGCCAACATGGTGAAACCCCATCTCTA

CTAAAAATACAAAAATTAACTGGGCGTGGTGGCACGCACCTGGAGTC

CCAGCTACTCGGGAGGCTGAGGCAAG

389
patch
CGCTCCCTTTAGGCTGGGTATGGTGTCTCTCAGCACTTTGCGAGGCC

AAGGCGGGCAGATCATTTGAGGTCAGGAGTTTGAGACCAGCCTGGC

CAACATGGTGAAACCCCATCTCTACTA

390
patch
CTTGGCCTCGCAAAGTGCTGAGAGACACCATACCCAGCCTAAAGGG

AGCGATTCTATTCTACTATTCTTCCTTCTGCTAATCCTTCCATTCTTTA

ATTTAATAACGAAGATTTTTTGAGT

391
patch
CTTCTGCTAATCCTTCCATTCTTTAATTTAATAACGAAGATTTTTTGAG

TACCTGTCATATACCAGGTGCTGTTCTGGGCCCTGGGAATACAGCTG

TTAACAAAATCATCAAACCACTTC

392
patch
TGTTCTGGGCCCTGGGAATACAGCTGTTAACAAAATCATCAAACCACT

TCCCTCGTGGAGCCCACATTGCAGTGAGAGAGACAAACACGACACA

CACTCTCAAGTCCTTGAAGATAAAGA

393
patch
AGTGAGAGAGACAAACACGACACACACTCTCAAGTCCTTGAAGATAA

AGAAAACTGGGTAACGGAGAGAAGAGGCCAGGGTTTGTTCTATAATC

ATTAATAACACGAGCAGTAAGAAGTA

394
patch
GAGGCCAGGGTTTGTTCTATAATCATTAATAACACGAGCAGTAAGAA

GTAAAATTTATCTAAGTAACAACTTATAAAGGGTCTACTGTGTGCTAA

GCTCTCATCCAGGTTCCCAAGGATT

395
patch
TTATAAAGGGTCTACTGTGTGCTAAGCTCTCATCCAGGTTCCCAAGG

ATTAACTCAGACCACACAGTAATTGAATAGATTCTATCATTGTCATCTT

ACAGAGGCCCAGAGAGAGAAAGTG

396
patch
CTTGGCCACTAGACCCAAAGTGGCTGAGTTAGAATCCCAGCCCCGTT

ACCAGCTATGACACTAGGCAAGTCACTTTCTCTCTCTGGGCCTCTGT

AAGATGACAATGATAGAATCTATTCA

397
patch
CTCCTCTGTGAGTCCTCTGCGGACCACCCTAGGCAAGCAAAGGGATT

AGGAGCTTGGCCACTAGACCCAAAGTGGCTGAGTTAGAATCCCAGC

CCCGTTACCAGCTATGACACTAGGCAA

398
patch
GGTTCTCAGGGCTGCCTGGGTTCAAACCCCAGCTCCAGACTTTGACT

TCCTATGCACCCATTTGAACAAGGTAACCTCTCTGTGCCTCAGCTGTC

AGGAGGGTAGAGGAGAGGACTCAAT

399
patch
AGCCGAGATCCCGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGA

CTCCGTCTCAAAAAAAAAGAACAAGGTTCTCAGGGCTGCCTGGGTTC

AAACCCCAGCTCCAGACTTTGACTTCC

400
patch
GCCACACCAGCCGGACCACCCGCCAGAGGCTCAACGGCCCCTCCTC

GCAGCCGAGGAAACTGAGGCTCGGAGGCAGGGCGCAGAGGCCCAA

GGTGACACAGCAGGCGGCCGTCGGCCGGG

401
patch
GGCCCGCGCTCCCCGGCCGACGGCCGCCTGCTGTGTCACCTTGGG

CCTCTGCGCCCTGCCTCCGAGCCTCAGTTTCCTCGGCTGCGAGGAG

GGGCCGTTGAGCCTCTGGCGGGTGGTCCG

402
patch
GCAGCAAATCATGGGCTGTCCTAGCCCCTTTTCAGATGAGAAAGGAG

CCCAGAGAGGGGAGAGGGCCTGCCAAGGTGGCACATCTGGCCAGG

CGCTGCGTAGGCTGAGCCCTGGGGGTCA

403
patch
AGACGTCCAGTTTTTTGGGAGGGGTGGGACACAGGAGTCTGTTTTTT

AACTAGCTCCCCAGAGCACCTGAGCAGCAAATCATGGGCTGTCCTAG

CCCCTTTTCAGATGAGAAAGGAGCCC

404
patch
AAGAAATGCAGACGTCCAGTTTTTTGGGAGGGGTGGGACACAGGAG

TCTGTTTTTTAACTAGCTCCCCAGAGCACCTGAGCAGCAAATCATGG

GCTGTCCTAGCCCCTTTTCAGATGAGA

405
patch
GAGGCTGAGGTGGGTGAATCACTTGAGGTCAGGAGTTCGAGACCAG

CCTGACCAATATGGTGAAACCCCATCTCAAAAAAAAAAAAAATTGGGG

CTAACGGTGAGCCTGTTTTGCAGGAT

406
patch
CAGGCTGGTCTCGAACTCCTGACCTCAAGTGATTCACCCACCTCAGC

CTCCCAAAGTGCTGGGATTATAGGCGTGAGCCACTGCACCCAGCCTA

GCCCCATTTTTCACATGAAGAGACCG

407
patch
AGGCTGGTCTCGAACTCCTGACCTCAAGTGATTCACCCACCTCAGCC

TCCCAAAGTGCTGGGATTATAGGCGTGAGCCACTGCACCCAGCCTA

GCCCCATTTTTCACATGAAGAGACCGA

408
patch
AGGCAGAAGTTGTGATGAGCTGAGATCCCGCCACTGCACTCCAGACT

GGGCAACAGAGCAGGACTCTGTAAAAAACAAAACAAAACAAAAAATT

ACCCTTCCCCACAATTATAAGCATTT

409
patch
CCCAGTCTGGAGTGCAGTGGCGGGATCTCAGCTCATCACAACTTCTG

CCTCCTGAGTTCAAGCGATTCTCCTGGCTCAGCCTCTCGAGTAGCTG

GGACTAGAGATGCATGCCACCACGCC

410
patch
CTGGCTCAGCCTCTCGAGTAGCTGGGACTAGAGATGCATGCCACCA

CGCCTGGCTAATTATTTGTATTTTTAGTAGAGATAGGGTTTCTCCATG

TTGGTCAGGCTGGTCTCGAACTCCTG

411
patch
TAGTAGAGATAGGGTTTCTCCATGTTGGTCAGGCTGGTCTCGAACTC

CTGACCTCAAATGATCTGCCCGCCTCGGTCTCCCAAAGTGCTGGGAT

TACAGTGAGCCACCACGCCTGTCTGG

412
patch
TTGGTCAGGCTGGTCTCGAACTCCTGACCTCAAATGATCTGCCCGCC

TCGGTCTCCCAAAGTGCTGGGATTACAGTGAGCCACCACGCCTGTCT

GGGTAATTTTTTTTTAAGTATTCTGT

413
patch
GGCTGAGCCAGGATGCTGCTGGTGCGCTCGCCGCGCCGGCCCCGC

CCTCCCGCGGCCCCGCCCCGCCCGCAGGCCCCGCCCCCGGCAGGC

CCCGCCCCGCCGAGCGCCCGGCCGCCCTCC

414
patch
CTCGCCGCGCCGGCCCCGCCCTCCCGCGGCCCCGCCCCGCCCGCA

GGCCCCGCCCCCGGCAGGCCCCGCCCCGCCGAGCGCCCGGCCGC

CCTCCTGTCTGGGCGCGCGTGGCTGGCGGGT

415
patch
AGAATGATTGTTGTCGTAAAGGCCTTTGATAATAATAGATACTGTTTA

CCCAGTGCTTGATGCCAGGCATTGCTACAAACACTGCGTACACATTA

TTCTATTTAATCTTCATAACCCAGT

416
patch
TCACTAGCATTTAACCTCTGTGCCCCAGCTTCCTCTTCTGTGAAAGGA

CAGTAATGACAGTACCTACCTCACTGGGTTATGAAGATTAAATAGAAT

AATGTGTACGCAGTGTTTGTAGCA

417
patch
GTGCCAAGTGTGGTACTGCTCTCACTAGCATTTAACCTCTGTGCCCC

AGCTTCCTCTTCTGTGAAAGGACAGTAATGACAGTACCTACCTCACTG

GGTTATGAAGATTAAATAGAATAAT

418
patch
TGTGGAGGGAGGTGGGAAGTTGTGTGGTGTATTGTTTTGAAGGGGTG

CTGGAACGAAGTACCACACACTAAGTGGCTTCAACAACCGAAATGTA

TGGTCTGTCCTGGTTCTGGAGACTAG

419
patch
AGTGGCTTCAACAACCGAAATGTATGGTCTGTCCTGGTTCTGGAGAC

TAGAAGTACAAAATCACGGCGTGGGAGGGCTGGCTGCTTCCGAGGC

CCATGAAAGAGCATGTGTGCCCGGCCA

420
patch
GGAGGGCTGGCTGCTTCCGAGGCCCATGAAAGAGCATGTGTGCCCG

GCCACTCTGACTTGCAGATGCCCATCTTCTCCCTATGTCTCCTCACAC

CATCTTCCCTGTGGTGTGTGTGTGCA

421
patch
TCTTCTCCCTATGTCTCCTCACACCATCTTCCCTGTGGTGTGTGTGTG

CAAATCCCTTCTTTCTATAAGGACACCAGTCATACTGGACTAGGGCC

CACCCGAATTGCCTCATTTTAACTT

422
patch
AGAGGAGTGATAGTGGAGTAGGGGGGAGGGGAATTGGGTGATTTTAA

CTTGATGACCTCTGTAATCATGAGGTAATGTCCAAGTAAGGTCCCATT

CTAAGATACCTGAATGCCCAGGCAC

423
patch
GGTAATGTCCAAGTAAGGTCCCATTCTAAGATACCTGAATGCCCAGG

CACGGTGGTTCATGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGC

AGGCAGATCAACTGAGGTCAGGAGTTC

424
patch
GGAGGATGGGGGGGTAATTTTTTTATTTTTAGTAGAGAGAGGGTTTGA

CCATGTTGGCCAGGCTGGTCTTGAACTCCTGACCTCAGTTGATCTGC

CTGCCTCGGCCTCCCAAAGTGCTGG

425
patch
CCTCCACCTCCCTGGGTTCAAACAATTCTTCTGCCTCAGCCTCCCGA

GTAGCTGGGACTACAGGTACGCACCACCATGCCCCGCTAATTTTTTT

ATTTTTAGTAGAGACAGGGTTTCACC

426
patch
TACTCGGGAGGCTGAGGCAGAAGAATTGTTTGAACCCAGGGAGGTG

GAGGTTGCAATGAGCCAAGATCACGCCACTGCATTCCAGCCTGGGA

GACAGAGCAAGACTCTGTCTCAAAACAA

427
patch
TTACGGGTTGAATTGTCACCCCCACATTCCCCAAGTTCATATGTTCAG

GGGTTTGTTGTTGTTGTTGTTGTTGTTTTGAGACAGAGTCTTGCTCTG

TCTCCCAGGCTGGAATGCAGTGGC

428
patch
GGTGAGACAGCCAGTGACGACCATCCACATGTTACGGGTTGAATTGT

CACCCCCACATTCCCCAAGTTCATATGTTCAGGGGTTTGTTGTTGTTG

TTGTTGTTGTTTTGAGACAGAGTCT

429
patch
AGGCTGGGAAAGGCACACAACCCAGTATCAGACCTGAGTTCACACTC

CTTCTGGCAGGAACTTCTAGGTGACATTGGGAAGCAACTTCATTCCTT

AGAACCTAGATTTCTCCTCAGGCTA

430
patch
AAAGAGACCTAAGAGATTATTTAGCCAAGCCCCCTTATAGCCTGAGG

AGAAATCTAGGTTCTAAGGAATGAAGTTGCTTCCCAATGTCACCTAGA

AGTTCCTGCCAGAAGGAGTGTGAAC

431
patch
AGGTATTATTCCTGATTTAAGGAGGATGCAATGAGGCTTGATGTGGAT

TCACCCACCCCAAAGCCTGTGTTCTTAACCACTATGCAATACTGCCTC

CCATCAAAGTCTCTATCTCAAGTC

432
patch
ATTTAATGAGAACGCCAAGGGCGTGGCTGTCAATCCTATGACACCTG

TCTGAGGTAGGTATTATTCCTGATTTAAGGAGGATGCAATGAGGCTT

GATGTGGATTCACCCACCCCAAAGCC

433
patch
GCATGAACCCAGGAGGTAGAGATTGCAGTGAGCCGAGATCGCACCA

CTGCACCCCAGCCTGGGCAACAGAGTGAGACTCCGTCTCAAAAAAA

GAGACTGGTTTCTTACCTAAGTCACAAA

434
patch
GCAGTGGTGCGATCTCGGCTCACTGCAATCTCTACCTCCTGGGTTCA

TGCCATTTTCCTGCCTCAGCCTCCCAAGTAGCTGGGACCACAGGCAC

CCACCACCACACCCGGCTAGTTTTTT

435
patch
CTcGGCTCACTGCAATCTCTACCTCCTGGGTTCATGCCATTTTCCTGC

CTCAGCCTCCCAAGTAGCTGGGACCACAGGCACCCACCACCACACC

CGGCTAGTTTTTTGTATTTTTAGTAG

436
patch
AGCCTGGCCAACATGGTGAAACCCCCTCTCTACTAAAAATACAAAAAT

TAGCTGGGCATGGTGGTGGGTGCCTATAATCCCAGCTACTCGGGAA

GCTGAGGCAGGACAATCATTTGAACC

437
patch
GGTGCAGTGGCTCATGCCTGTAATCTCAGCACTTTGGGAGGCCGAG

GCAGGCGGTCAAGAGTTCGAGACCAGCCTGGCCAACATGGTGAAAC

CCCCTCTCTACTAAAAATACAAAAATTA

438
patch
CTGCCTCGGCCTCCCAAAGTGCTGAGATTACAGGCATGAGCCACTG

CACCAGGCCTGTCTTCAGGTCTTTTTTATTTTATTATTTATTTATTTATT

TATTTATTTATTTATTTATTTTGA

439
patch
TTTATTTTATTATTTATTTATTTATTTATTTATTTATTTATTTATTTTGAGA

CAGAGTCTCGCTCTGTCGCCCAGGCTGGAGTGCCGTGGTGCGATCT

CGGCTCACTGCAAGCTCCACCT

440
patch
CCCAGGCTGGAGTGCCGTGGTGCGATCTCGGCTCACTGCAAGCTCC

ACCTCCCGGGTTCACGCCATTCTCCTGTCTCAGCCTCCCGAGTAGCT

GGGATTACAGGCGCCTGCCACCATGCC

441
patch
AGGAAATCGAGACCATCCTGGCCAACTTAGTGAAACCCCATCTCTAC

TAAAAATACAAAAAAATTAGCTGGGCATGGTGGCAGGCGCCTGTAAT

CCCAGCTACTCGGGAGGCTGAGACAG

442
patch
GGCCGGGTGCAGTGGCTCATGCCTGTAATCCCAGCACTTTGGGAGG

CCGAGGCAGGCAGATCACGAGGTCAGGAAATCGAGACCATCCTGGC

CAACTTAGTGAAACCCCATCTCTACTAA

443
patch
TCGGCCTCCCAAAGTGCTGGGATTACAGGCATGAGCCACTGCACCC

GGCCCACATACTACATTTTCTATCCACTCACCAGTTGATGAAGACTTA

ATTTGTTTCCAGTTTTCTTTTTTCTT

444
patch
CACTCACCAGTTGATGAAGACTTAATTTGTTTCCAGTTTTCTTTTTTCT

TTTTTTTGAGATGGGATCTCCCTGTATTGCCCAGGTTGGTCTTGAACT

CCTGGGCTCAAGTGATCCTCCCA

445
patch
TGAGATGGGATCTCCCTGTATTGCCCAGGTTGGTCTTGAACTCCTGG

GCTCAAGTGATCCTCCCACCTAAGCCTCCCAAAGTGCTGGGATTTGT

TTCCGGTTTTTTTCCTACTATGCTAT

446
patch
TTTTTTTTTTAACCTCTGTACCCCTAGCTTTTTTTTTTTTTTTTTTTTTTT

TTGAGATGGATTCTTGCTCTGTCGCCCAGGCTGGAGTGCAGCAGTGT

GATCTTGGCTCACTGCAACCTC

447
patch
TGTCGCCCAGGCTGGAGTGCAGCAGTGTGATCTTGGCTCACTGCAA

CCTCCACCCCCCGGGTTCAAGCAATTCTCCTGCCTCAGCCTCCCAAG

TAGCTGGGATTACAGGCGTACGCCACC

448
patch
TTGAGACCAGCCTAGCCAACATGGTCAAACCCCGTCTCTACTAAAAA

AAATACAAAAATTAGCCAGGCATGGTGGCGTACGCCTGTAATCCCAG

CTACTTGGGAGGCTGAGGCAGGAGAA

449
patch
CAGTGGCTCACACCTGTAATTCCCAGCACTTTGGGAGGCTGAGGCA

GGCGGATCACCTGAGGTTAGGAGTTTGAGACCAGCCTAGCCAACAT

GGTCAAACCCCGTCTCTACTAAAAAAAA

450
patch
CGCCTGCCTCAGCCTCCCAAAGTGCTGGGAATTACAGGTGTGAGCC

ACTGTGCTCAGCCTGTGTGTTTTGAGACAGGGTCTTGCTTCGTCACC

CAGGCTGGAGTGCAGTGGCTCAATCAC

451
patch
AGACAGGGTCTTGCTTCGTCACCCAGGCTGGAGTGCAGTGGCTCAA

TCACAGCTTACTGCAGCCTGGACTTCCCAGGCTCAAGTGATCCTCCC

GCCTCAGCCTCTCAAGTAGCTGGAACT

452
patch
TCCCAGGCTCAAGTGATCCTCCCGCCTCAGCCTCTCAAGTAGCTGGA

ACTACAGGCGAGTGCCACCATGCCTGGCTAAGTTTTAATTTTATGTAG

AGATGGTCTCAGTATGTTGCCCAGG

453
patch
CTGGCTAAGTTTTAATTTTATGTAGAGATGGTCTGAGTATGTTGCCCA

GGCTGATTTCAAACTCTTGGGCCCAAGTGATCCTCCTGCCTTGCTTC

CCTCCCAAAGTGCTAGGATTACAGG

454
patch
CCAAGTGATCCTCCTGCCTTGCTTCCCTCCCAAAGTGCTAGGATTAC

AGGCATGAACCACTTCACCTGGCCCATGCTATATGTTTGCCCCTCGT

CTTCTTACCTACTCCCTCAGTTTTCT

455
patch
CTTCAGCACAGGAGTTTGGGGAAGACACAAACATTCAACCCCTACTG

TTCCAACCCCTGCTTCACAGATGAGAAAACTGAGGGAGTAGGTAAGA

AGACGAGGGGCAAACATATAGCATGG

456
patch
ATTAATAAGGGCTCCACCCACATCACCTGATGACCTCCCAGAGGTCC

TACCTCCAAATACCATCACTCAGCTTCAGCACAGGAGTTTGGGGAAG

ACACAAACATTCAACCCCTACTGTTC

457
patch
GTAGGACCTCTGGGAGGTCATCAGGTGATGTGGGTGGAGCCCTTAT

TAATGGGATTTGTGCCCTTATAGAAAGGGACACAACATGAGATGATCT

TGCTCTGGGCCATGCCGGGAGGAAGG

458
patch
AAGGGACACAACATGAGATGATCTTGCTCTGGGCCATGCCGGGAGG

AAGGGAGAAGGTGGCTGTCAACGAGCCAGGAAGCGGCACTCCTGAC

ACTGGATCTACCAACACCCCTATCTCAG

459
patch
GCCAGGAAGCGGCACTCCTGACACTGGATCTACCAACACCCCTATCT

CAGACTTCCAGCCTCCAGGACCGTGAGAACTGTTTCCTGTTGAAGCC

ACCCTCTCTATATTTGTTACAGCAGC

460
patch
TGAGAACTGTTTCCTGTTGAAGCCACCCTCTCTATATTTGTTACAGCA

GCCCACACTGATTAAGACACTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTT

GAGATGGAGCCTCGCTCCATC

461
patch
TTTTTTTTTTTTTTTTTTTTTTTTTTTTTGAGATGGAGCCTCGCTCCATC

ACCCAGGCTGGAGTGCAATGGCGCAATCTCGGCTCACTGCAACCTC

TGCCTCCCGGGTTCAAGTGATTAT

462
patch
GCGCAATCTCGGCTCACTGCAACCTCTGCCTCCCGGGTTCAAGTGAT

TATCCTGGGTCAGCCTCCCAAGTAGCTGGGATTGCAGGCACCTGCC

ACCATGGCTGGCTAAATTTTGTATTTT

463
patch
AGCTGGGATTGCAGGCACCTGCCACCATGGCTGGCTAAATTTTGTAT

TTTTAGTAGAGACAGGGTTTCACCATGTTGGCCAGGCTGGTCTCCAA

CTCCTGACCTCAGGTGATCCACCTGC

464
patch
CATGTTGGCCAGGCTGGTCTCCAACTCCTGACCTCAGGTGATCCACC

TGCCTCGGCCTCCCAAAGTGCTGGGCGTGAGCCACCATGCCCGGCC

TGACACTTATCTTTTATATCTATATAT

465
patch
GGCGTGAGCCACCATGCCCGGCCTGACACTTATCTTTTATATCTATAT

ATTTTTTTCTTTGTTGAGACGGAGTCTCACTGTGTCGCCCAGGCTGGA

GTGCAGTGGTGTGATCTTGGCTCA

466
patch
AGTCTCACTGTGTCGCCCAGGCTGGAGTGCAGTGGTGTGATCTTGG

CTCACCGAAACCTCTGCCTCCCAGGTTCAAGTGATTCTCGTGCCTCA

GCCTCCGGAGCAGCTGGGATTACAGGC

467
patch
GTTCAAGTGATTCTCGTGCCTCAGCCTCCGGAGCAGCTGGGATTACA

GGCGTGAGCCACCATGACTGGCCTAAAACACCTACCTTTTATTTTTTA

AAAAACCAACACATTATCAGTACTT

468
patch
TAAAACACCTACCTTTTATTTTTTAAAAAACCAACACATTATCAGTACT

TCATGCCAGACACCATTCTAGGAAATTAACTCCTCTGACTTTCACATC

AATCCCATGGGTAGCTGTTATTT

469
patch
GAAATTAACTCCTCTGACTTTCACATCAATCCCATGGGTAGCTGTTAT

TTACAGATGAGGAAACTGAGGCACAGAGGTAAAACAACTTTGCTGAG

GTCACCTTGCTGCTAAGTGACACAG

470
patch
ACAGAGGTAAAACAACTTTGCTGAGGTCACCTTGCTGCTAAGTGACA

CAGCTGGCATCTAGTGCAGCAGGCTGGCTCCAAGTCTATGCCCCTCA

CCCCTCAGACGCTGCTCACCAAGCCG

471
patch
AGCCCCTCCGGCTTGGTGAGCAGCGTCTGAGGGGTGAGGGGCATA

GACTTGGAGCCAGCCTGCTGCACTAGATGCCAGCTGTGTCACTTAGC

AGCAAGGTGACCTCAGCAAAGTTGTTTT

472
patch
ATCTTTATTTTTATTAAAGGACAGGGTCTCTGGCCTGGTGCGTTGGCT

CACGCCTGTAATCCCAGCACTTTGGGAAGCCAAGGCGGGCGGATCA

CGAGGTCAGGAGATTGAGACCATCCT

473
patch
TGGGAAGCCAAGGCGGGCGGATCACGAGGTCAGGAGATTGAGACCA

TCCTGGCCAACACGATGAAACCCCGTCTCTACTAAAAATACAAAAATT

AGCTGGGCGTGGTGGTGAGTGCCTGT

474
patch
GTCTCTACTAAAAATACAAAAATTAGCTGGGCGTGGTGGTGAGTGCC

TGTAGTCCCTGCTACTCAGGAGGCTGAGGCAGGAGACTTGCTCCTG

AACCCAAGAGGCGGAGGTTGCAGTGAG

475
patch
CTGAGGCAGGAGACTTGCTCCTGAACCCAAGAGGCGGAGGTTGCAG

TGAGCCAAGATCCCGCCACTGCACTCCAGCTTCCCGACAGAGCGAG

ACTCTGTCTCACAAAAAAAAAAAAAAAA

476
patch
TCCAGCTTCCCGACAGAGCGAGACTCTGTCTCACAAAAAAAAAAAAA

AAAAAAAAAAAAAAGTCAGGGTCTCACCCTGTCCGCCAGGCTTGACT

GCAGTGGCGTGACCTCAGCTTACTGC

477
patch
TCACCCTGTCCGCCAGGCTTGACTGCAGTGGCGTGACCTCAGCTTAC

TGCAGCCTCAACCTCCCAGACTCAAGTGATCCTCCCACCTCAGCCTC

CTGAGTAGCTGGGACTACAGGTGCAC

478
patch
GATACCAGCCTGGACAACATAGCAAGACCCCATCTCTAAAAAAATATA

AAAATTAGCCAGGCATAGCAGTGTGCACCTGTAGTCCCAGCTACTCA

GGAGGCTGAGGTGGGAGGATCACTT

479
patch
CGTGACTCACATCTGTGATCCCAGCACTTTGGCAGGCTGAGGCAGG

AGGATCACTGGAGGCCAGGAGCTTGATACCAGCCTGGACAACATAG

CAAGACCCCATCTCTAAAAAAATATAAA

480
patch
CAGGCTGGTATCAAGCTCCTGGCCTCCAGTGATCCTCCTGCCTCAGC

CTGCCAAAGTGCTGGGATCACAGATGTGAGTCACGTGCTTGGCCTAA

ACTTTTAAATGATGAGACTTAAGTCA

481
patch
CTCAGTTTCCCCTTTTGTAAAATAGGATGATGATACTTGCACCTCAAG

GTGCTGGGAGGATTCACTGTGAGCATGTGAGAAGCAGAGGGCAGAC

TGTGGTGGCTGGTGGGCCAGGGCAGA

482
patch
CACACCTGCGCTCCAGCCTGGGTGACAGAGCGAGACTCCGTCTCAA

AAAAAAATAAAAATAAAAAATAAACTCAGTTTCCCCTTTTGTAAAATAG

GATGATGATACTTGCACCTCAAGGT

483
patch
TTTTTTGAGACGGAGTCTCGCTCTGTCACCCAGGCTGGAGCGCAGGT

GTGCGATCTCGGCTCACTGCAACCTCCACCTCCTGGGTTCAAGCGAT

TCTCCTGCCTCAGCCTCCTGAGTAGC

484
patch
CGGTGAAACCCCATCTCTACTAAAAATACAAAAAATTAGCTGGGTGTG

GTGGTGTGTGCCTGTAGTCCCAGCTACTCAGGAGGCTGAGGCAGGA

GAATCGCTTGAACCCAGGAGGTGGAG

485
patch
ATCCCAGCACTTTGGGAGGCCGAGGCGGTCGGATCACGAGGTCAGG

AGATCAAGACCATCCTGGCTAACACGGTGAAACCCCATCTCTACTAA

AAATACAAAAAATTAGCTGGGTGTGGT

486
patch
CCTGGGCAAATCACTTCCTTTCTTTAAATTCAGTTTCCCCTTTTGCCG

GGCGCGGTGGCTCATGCTTGTAATCCCAGCACTTTGGGAGGCCGAG

GCGGTCGGATCACGAGGTCAGGAGAT

487
patch
GGGTCTGCAGGCTGGGTGGACCCCAAGCTTAGTTGGATCCTGGGCA

AATCACTTCCTTTCTTTAAATTCAGTTTCCCCTTTTGCCGGGCGCGGT

GGCTCATGCTTGTAATCCCAGCACTT

488
patch
CCCGGCCTGGGGGGTCAGGAGGGCTTCCTGGAAGAGGGGGTATCC

TGAGCCCTGGAAGAGGAGACACCAGCCAGGCTGCTAGAGGCTGGG

GATCCCCAGCACACAGGCTCCAGGCTGGGC

489
patch
TAGCAGCCTGGCTGGTGTCTCCTCTTCCAGGGCTCAGGATACCCCCT

CTTCCAGGAAGCCCTCCTGACCCCCCAGGCCGGGCAGCCACTCCAG

GGCTCCTCAGTTCAGCAATGTGTCTCT

490
patch
TTCAAGTGATTCTTCTTGCCTCAGCCTCCCAAGTAGCTGGGATTACAG

GCACCCACGACCATGCCCGGCTAATTTTTGTATTTTTAGTAGAGACAG

GGTTTCACCATATTGGCCAGGCTG

491
patch
AATTTTTGTATTTTTAGTAGAGACAGGGTTTCACCATATTGGCCAGGC

TGGTCTCGAACTCCTGACCTCGTGATCCTCCTGCCTTGGCCTCCCAA

AGTGTTGGGATTACAGGCATGAGCC

492
patch
TGATCCTCCTGCCTTGGCCTCCCAAAGTGTTGGGATTACAGGCATGA

GCCACCGTGCCCGGCCTAATTTTTGTATTTTTTAGTAGAAACAGGGTT

CCACCATGTTGGTCAGGCTGGTCTT

493
patch
TGTATTTTTTAGTAGAAACAGGGTTCCACCATGTTGGTCAGGCTGGTC

TTGAGGTCCTGACCACAGGTGATCTGACCTCGCCTTGGCCTCGAAAA

GTGCTGGGATTATAGGCATGAGCCA

494
patch
TCTGACCTCGCCTTGGCCTCGAAAAGTGCTGGGATTATAGGCATGAG

CCACCGCACCCCACACCAACCTAGAAAAGTTCAACTCATTTGTCTAA

GCCCAGCAAAATCATCCAGAAGCCGG

495
patch
GAAAAGTTCAACTCATTTGTCTAAGCCCAGCAAAATCATCCAGAAGCC

GGTGGCGGTGGCTCACACCCATAATGCCAGCACTTTGGGAGGCTAA

GACATGAGGATCACTTGAGGCCAAGA

496
patch
AATGCCAGCACTTTGGGAGGCTAAGACATGAGGATCACTTGAGGCCA

AGAGTTTGAGACCAGCCTGAGAAATATAGCAAGACCCCCGTCTCTAT

GAAAAATACAAAAATTAGTTGGGTGC

497
patch
ATATAGCAAGACCCCCGTCTCTATGAAAAATACAAAAATTAGTTGGGT

GCGGCGGCATGTGCCTGTGGTCCCAACTACTCTGGAGACTGAGGCA

GGAGGATCACTTGAGGCCAGGAGCTT

498
patch
CCAACTACTCTGGAGACTGAGGCAGGAGGATCACTTGAGGCCAGGA

GCTTGAGGCTGCAGTGATCTGTGATGGTGCCACTGCACTCCAGCCA

GGGCGACAGAATGACACTGTCTCAAAAA

499
patch
TGGTGCCACTGCACTCCAGCCAGGGCGACAGAATGACACTGTCTCA

AAAAAAAATGTCGGCTGGGCGCGGTGGCTCACACCTGTAATCCCAG

CACTTAAGGAGGCTGAGGTGGGCGGATC

500
patch
TGGCTCACACCTGTAATCCCAGCACTTAAGGAGGCTGAGGTGGGCG

GATCACGAGGTCAGGAGATCGAGACCATCCTGGCTAACACGGTGAA

ACCCCGTCTCTACTAAAAATACAAAAAA

501
patch
CCATCCTGGCTAACACGGTGAAACCCCGTCTCTACTAAAAATACAAAA

AATTAGCCTGGCGTGGTGGCGGGCGCCTGTAGTCCCAGCTACTCGG

GAGGCTGAGGCAGGAGAATGGCATGA

502
patch
GCGCCTGTAGTCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATGGC

ATGAACCCGGGAGGCGGAGCTGGCAGTGAGCCGAGATCGTGTCACT

ACACTCTAGCCTGGATGACAGGGCCAGA

503
patch
AGGCGGAGCTGGCAGTGAGCCGAGATCGTGTCACTACACTCTAGCC

TGGATGACAGGGCCAGACTCCATCTCAAAAAAAAAAAAAAAAAAATCA

TCTAGTGGTGATGGGACTTTGTAGGG

504
patch
GGAGAATTACAGCCCCCATCATAGTGTGTTGGGGTAAGAATTAAGTG

AGTTCCCATATATGGGACAAACTTCCCCCCCTTATGACCTGTAAACCC

AGTTTCTGGCGGCCAAGGATGGGGA

505
patch
GCACTCCAGCCTGGGTGACAGAGTGAGACTCCATCTCAAAAATAAAA

TCAATAAAATAAAGTAAAATGAGGGAGAATTACAGCCCCCATCATAGT

GTGTTGGGGTAAGAATTAAGTGAGT

506
patch
TGATTTTATTTTTGAGATGGAGTCTCACTCTGTCACCCAGGCTGGAGT

GCAATGGCATGAACTTGGCTCACTGCAACCTCTGACTCCCAGGTTCA

AGAGATTCTCTTGCCTCAGCCTCCT

507
patch
CTGCAACCTCTGACTCCCAGGTTCAAGAGATTCTCTTGCCTCAGCCT

CCTCAGTAGCTGGAACCACAGGCGCCCGCCACCACACCTGGCTAAT

TTTTGTATTTTTAGTACAGACTGGGTT

508
patch
GCCCGCCACCACACCTGGCTAATTTTTGTATTTTTAGTACAGACTGGG

TTTCACCGTGTTGGCCAGGCTGGTCTCAAACTCCTGACTTCAAGTGA

TCCGCCTGCCTTGGCCTCCCAAAGT

509
patch
GTCTCAAACTCCTGACTTCAAGTGATCCGCCTGCCTTGGCCTCCCAA

AGTGCTAGGATTACAGGTGTGAGCCACCATGTCCAGTCCTCTCCCCA

TTTTATAGGTGAGGAGACTGAGGCTC

510
patch
CCACCATGTCCAGTCCTCTCCCCATTTTATAGGTGAGGAGACTGAGG

CTCAGAGAAGTAAAGCTACTCACCTAAGATCCCACAGCCTTCAAGCG

GCAGAGCTGGGATTTGAACCTCGGCC

511
patch
TACTCACCTAAGATCCCACAGCCTTCAAGCGGCAGAGCTGGGATTTG

AACCTCGGCCATCTGGGTGTGGAGCCTTATTATTCACCACTTTGGCA

GGTGTCTCAGTGGCTTACTTACCCTT

512
patch
CCCAGCTCATGCAGTCATTTATTCATTCAACAAGCATCACCCACGCTG

GGCCCCCAAGAGGCCTCAGCCCTGACCAGGTCCTCAAGGAGCTATC

TTAAGAGAGGACAGAGCTGGACATAG

513
patch
TGACCAGGTCCTCAAGGAGCTATCTTAAGAGAGGACAGAGCTGGACA

TAGACACTCCTAGTCCCATGCAGTTAAGGAAGGTCCAGAGGGAAAGA

CAGGGTCCTGGAAGGCTTCCTGGAGG

514
patch
CCAATGATAGGTTTGGGGAATCTTAGTGAACTCCTACTCATGCGTTGA

AGCCCCAACTGTAATGCCTCCTCCTCCAGGAAGCCTTCCAGGACCCT

GTCTTTCCCTCTGGACCTTCCTTAA

515
patch
TTGGAGAGCCAATGATAGGTTTGGGGAATCTTAGTGAACTCCTACTC

ATGCGTTGAAGCCCCAACTGTAATGCCTCCTCCTCCAGGAAGCCTTC

CAGGACCCTGTCTTTCCCTCTGGACC

516
patch
CCTCTGTCCTTCACATCGCCAAACTCCAAGAAATGGTCAAAGGCTTT

GAACGGAGACCTTGAAGAAAAAGCGGGAAACTGCTTTTCAACATGTC

CAGAGATGCTCATTCTTGCCAGGTGC

517
patch
CGGGAAACTGGTTTTCAACATGTCCAGAGATGCTCATTCTTGCCAGG

TGCAGTGGCTTACACCTGTAATCCCAACACTTTGGGAGGCTGAAGTG

AGCAGATCGCTTGAGCCCAGGAGTTC

518
patch
CCAACACTTTGGGAGGCTGAAGTGAGCAGATCGCTTGAGCCCAGGA

GTTCGAGACCAGCCTGGCCATCATGGTGAAACCCCGTCTCTACTTTA

AAAAATACAAAAATTAGCCAGGTGTGG

519
patch
GGTGAAACCCCGTCTCTACTTTAAAAAATACAAAAATTAGCCAGGTGT

GGTGGTATGTGCCTGTAGTCCCAGCTACTCAGGAGGCTGAGGCAGG

AGAATTGTTTGAACCCAGGAGGTGGA

520
patch
AGCTACTCAGGAGGCTGAGGCAGGAGAATTGTTTGAACCCAGGAGG

TGGAGGCTGCAGTGAGCCAAGATCACTCCACTGCATTCCAGCCTGG

GCAACAGAGTGAGACCTGTCTCAAAAAA

521
patch
ACTCCACTGCATTCCAGCCTGGGCAACAGAGTGAGACCTGTCTCAAA

AAAAAAAAAAAGTTCACACTTAATAAGAAAACTGCAAATCACAAACTG

TTTGTCTTCACCAATCAAATTGGCA

522
patch
CACCAGTGCTACACCATGGACGCACCCCACAGCCTGGCTGGCACAG

AATGTCATTGCATTGTTGGATTTTTGCCAATTTGATTGGTGAAGACAA

ACAGTTTGTGATTTGCAGTTTTCTTA

523
patch
CAGAAGTGGACTTGCTGTGTCAGCAGGCACATGAGTTTATCATTCCG

GTGGCCTGTGCCAGGGTGCCCTCCACCAGTGCTACACCATGGACGC

ACCCCACAGCCTGGCTGGCACAGAATG

524
patch
CACCGGAATGATAAACTCATGTGCCTGCTGACACAGCAAGTCCACTT

CTGGGAATCCCTGCCTGAATATTTGCATGTTTACAGTGTGAACTGACT

AACGAATAAAAAAATGTGGCTCAGC

525
patch
CTGACCTCGTGATCCGCCCACCTTGGTCCCCCAAAGTGCTGGGATTA

CAGGCATGAGCCACCACGTCCAGGCTGAGCCACATTTTTTTATTCGT

TAGTCAGTTCACACTGTAAACATGCA

526
patch
TGCCCAGCTAATTTTTGTATTTTTAGTGGAGAGGGGGTTTCACCATGT

TGGCCAGGCTGGTCTGGTACTCCTGACCTCGTGATCCGCCCACCTT

GGTCCCCCAAAGTGCTGGGATTACAG

527
patch
CAACATGGTGAAACCCCGTCTCCACTAAAAATACAAAAATTAGCTGG

GCATGGTGGCACGTGCCTGTAATCCCAGCTACTAGGGAGGCTGAGG

CAGGAGAATCGCTTGAACCCAGGAGGC

528
patch
CCCAGCTACTAGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCAGG

AGGCAGAGGTTGCAGTGAGCTGAGATCATGCCACTGCACTCCAGTTT

GGGCGTTAGAGCGAGACTCCATCTCAA

529
patch
ATCATGCCACTGCACTCCAGTTTGGGCGTTAGAGCGAGACTCCATCT

CAATAATAATAATAATAATAATAATAATAATAATTTAAAAATTAGCTGGG

CATGGTGGCTTCAGCCTGTAGTC

530
patch
ATAATAATAATTTAAAAATTAGCTGGGCATGGTGGCTTCAGCCTGTAG

TCCCAGCTACTTCAGAGGCTGAGGTGGGAGGATCCCTTGAGCCCAG

AAGGTTGTGACTGCAGTGAGCCGTGA

531
patch
GGTGGGAGGATCCCTTGAGCCCAGAAGGTTGTGACTGCAGTGAGCC

GTGATTGTGCCACTCCACTCCAGCCTATGCAGCAGAGCAAGACCCTA

TCTCTAAAAAATAATTTAAAATAAATG

532
patch
CTATGCAGCAGAGCAAGACCCTATCTCTAAAAAATAATTTAAAATAAA

TGGCTGGGCCGGCCGCGGTGGCTCATGCCTGTAATCCCAGCACTTT

GGGAGGCTGAGGTGGGCGGATCACCT

533
patch
TCATGCCTGTAATCCCAGCACTTTGGGAGGCTGAGGTGGGCGGATC

ACCTGAGGTCCAGAGTTTGAGACTAGCCTGACCAACGTGGAGAAACT

CCATCTCTACTAAATACACAAAATTAG

534
patch
AGCCTGACCAACGTGGAGAAACTCCATCTCTACTAAATACACAAAATT

AGCCGGGTGTGGTGGCGCATGCCTGTAATCCCAGCTACTTGGGAGG

CTGAGGCAGGAGAATCACTTGAGCCT

535
patch
CTGTAATCCCAGCTACTTGGGAGGCTGAGGCAGGAGAATCACTTGAG

CCTGGGAGGTAGAGTTTGCAGTTGAGCCGAGATCACGGCACTGCAC

TCCAGCCTGGGCAACAAGAGCAAAACT

536
patch
GAGCCGAGATCACGGCACTGCACTCCAGCCTGGGCAACAAGAGCAA

AACTCCATCTCAAAATAATAATAATAAATAAATAAATTGGCTAAAATGT

TCAATTTTATGTTGTGTGTATGTTG

537
patch
TAAATAAATAAATTGGCTAAAATGTTCAATTTTATGTTGTGTGTATGTT

GCAGGTTTGTTTTTTTGAGAAGGCAAAGTCAGGCGTGGTGGCTCACA

CCTGTAATCCCAGCACTTTGGGAG

538
patch
GGCAAAGTCAGGCGTGGTGGCTCACACCTGTAATCCCAGCACTTTG

GGAGGCTGAGGTGGGCGGATCACAAGGTCAGGAGACTGAGACAATC

CTGGCCAACGCTGTGAAACCCTGTCTCT

539
patch
AGGTCAGGAGACTGAGACAATCCTGGCCAACGCTGTGAAACCCTGT

CTCTACCAAAAATACAAAAAATTAGCTGGGCGTGGTGGCATGTACCT

GTAATCCCAGCTACTCGGGAGGCTGAG

540
patch
GCTGGGCGTGGTGGCATGTACCTGTAATCCCAGCTACTCGGGAGGC

TGAGGCAGGAAAATCACTTGAACCAGGGAGTTGGAGGTTGCAGTAA

GCCTAGATCGCGCCACAGCACTCCAGCC

541
patch
TCACTTGAACCAGGGAGTTGGAGGTTGCAGTAAGCCTAGATCGCGC

CACAGCACTCCAGCCTGGTGACAGAGCGAGACTTCATATAAAAAAAA

AAAAGAGAGAGAGAGAGAAGGCAAAAA

542
patch
TACTAAAAATACAAAAAAATTAGCTGGGCATGGTGGCGGGCGCCTGT

AGTCCCAGCTACTTGGGAGGCTGAGGCAGAAGAATGGCTTGAACCC

GGGAGGTGGAGCTTGCAGTGAGCTGAG

543
patch
AGGCAGAAGAATGGCTTGAACCCGGGAGGTGGAGCTTGCAGTGAGC

TGAGATTGCGCCACTGCACTCCAGCCTGAGCGACAGAGCGAGACTC

CATCTCAAAACAAAACAAACAAACAAAA

544
patch
CTGCACTCCAGCCTGAGCGACAGAGCGAGACTCCATCTCAAAACAAA

ACAAACAAACAAAACAAAACAAAACAAAACAAAACAAAAAAAGATTCC

TTTGGCTACCTGGGTGGGTAGCCCA

545
patch
CTTCACAAGATGCAATGAAGAAGTGGGCTTTTTTTTTTTTTGAGACAG

AGTTTCTCTCTTGTCACCCAGGCTGGAGTGCCATGGCGCAATCTCAG

CTCACTGCAACCTCCACTTCCCGGG

546
patch
CTGGAGTGCCATGGCGCAATCTCAGCTCACTGCAACCTCCACTTCCC

GGGTTCAAGCGACTCTCCTGCCTCAGCTACCTGGGTGACTGGGATTA

CAGGCTTGCGCCACCATGCCCGGCTA

547
patch
CTGAGGTCAGGAGTTTGAGACCAGCCTGACCAACATGGAGAAACCC

CGTCTCTACTAAAAATACATAAATTAGCCGGGCATGGTGGCGCAAGC

CTGTAATCCCAGTCACCCAGGTAGCTG

548
patch
ACTTCTGGCCGGGTGTGGTGGCTCATGCCTGTAATCCCAGCACTTTG

GGAGGCTGAGGCGGGTGGATCACCTGAGGTCAGGAGTTTGAGACCA

GCCTGACCAACATGGAGAAACCCCGTC

549
patch
TCCCAAAGTGCTGGGATTACAGGCATGAGCCACCACACCCGGCCAG

AAGTAGGCCTTTACCCACTACATGCCTTCTTTTACTTATCTGCACAAT

GAAGATTAAAAATAGTTTCTTGGCCT

550
patch
CCTTCTTTTACTTATCTGCACAATGAAGATTAAAAATAGTTTCTTGGCC

TGGCATGGTGCCTCACACCTGTAATTCCAGCACTTTGGGAGGCTGAG

GTGGGCAGATCATTTGAGGTCAGA

551
patch
TAATTCCAGCACTTTGGGAGGCTGAGGTGGGGAGATCATTTGAGGTC

AGAAGTTCAAGACCAGTGTGGCCAACGTGGCGAAACCCCATCTCTAC

TAAAAATACAAAAAGTAGCCAGGCAT

552
patch
AACGTGGCGAAACCCCATCTCTACTAAAAATACAAAAAGTAGCCAGG

CATGGTGGCACGTGCCTGTAGTCCCAGACACTCAGGAGACTGAGGC

ACAAGAATCTCTTGAACCTGGGAGATG

553
patch
TTTGAGACAGAGTCTTGCTCTGTCCCCCAGGCTGGAGTGCAATGGCT

CGATGTCAGCTCACTGCAACCTCCATCTCCCAGGTTCAAGAGATTCT

TGTGCCTCAGTCTCCTGAGTGTCTGG

554
patch
GTATCAATTAAACATGGAGCAATTTAATTCTCACAGTAACCCTATGATA

AGAGACTTTTTTTTTTTTTTTTTTGAGACAGAGTCTTGCTCTGTCCCCC

AGGCTGGAGTGCAATGGCTCGA

555
patch
TTATCATAGGGTTACTGTGAGAATTAAATTGCTCCATGTTTAATTGATA

CATGATAAACTGATACTTAGCACAGGGCCTAGTAAATATCAGTGCTCT

AGTAGTGCCTGCCCATATTATTA

556
patch
ACAGGGCCTAGTAAATATCAGTGCTCTAGTAGTGCCTGCCCATATTAT

TATCATTGTTTGTGTCATTTATCTCTGTAGTAGGAAGTATATACAATCC

TATTGCATAGGTTTAAGGGAATT

557
patch
CTCTGTAGTAGGAAGTATATACAATCCTATTGCATAGGTTTAAGGGAA

TTAATCCACTAAAGTGTTTGGAACAGAGCCTGGCACATATTGCTATGT

AACTGCATCATCATCATCATCCCT

558
patch
ACAGAGCCTGGCACATATTGCTATGTAACTGCATCATCATCATCATCC

CTTTTTAATAGATGAGAAAACTGAATTTCAGAGAGGGTAGTCTGATCT

GAAATTCACCTATTATTCCAGCTT

559
patch
AACTGCATCATCATCATCATCCCTTTTTAATAGATGAGAAAACTGAATT

TCAGAGAGGGTAGTCTGATCTGAAATTCACCTATTATTCCAGCTTCTC

TCTTCCAAATACGGCCTCTGTGC

560
patch
AGAATTCTCATTCAGAACCTTGATCACAGGCCGGGCGCGCCGGGATT

GCTCACGCCTGTAATCCCAACACTTTGGGAGGCCGAGGTGGGAGGA

TCACTTGAGCCCAGGATTTGGAGACTA

561
patch
TTTGGGAGGCCGAGGTGGGAGGATCACTTGAGCCCAGGATTTGGAG

ACTAGCCTGGGCAACATAGCGAGACCCCTTCTCTAAAAAAGCAAACA

GGCAAAACTTCATGAGAATCTTGATCA

562
patch
CCCCTTCTCTAAAAAAGCAAACAGGCAAAACTTCATGAGAATCTTGAT

CATGTTAAAATTTTATGTCCTTCGATTTCTCCCTACACACACACACACA

CACACACACACACACACACACAC

563
patch
TGAGAATCTTGATCATGTTAAAATTTTATGTCCTTCGATTTCTCCCTAC

ACACACACACACACACACACACACACACACACACACACACACTCAAC

ATTTCCTCCACCCATATCATCACT

564
patch
TAGTTTTATCCTGTTTTCCGAAAAACAATCATTTATTTATTTATTTATTT

ATTTAATTTTATGAGACAGGGTCTGGCTTTGTCACCCAGGCTGGAGT

GCAGTGGTGCGATCTTGGCTCAC

565
patch
GTCTGGCTTTGTCACCCAGGCTGGAGTGCAGTGGTGCGATCTTGGC

TCACTGCAACCTCTGCCTCTCAGATTCAAGCCATCCTTCCACCTCAG

CTCTGCCACTGAGTAGCTGAGACTACA

566
patch
TTCAAGCCATCCTTCCACCTCAGCTCTGCCACTGAGTAGCTGAGACT

ACAAGCACTCGCCACCATGCCCGGCTAATTAAAAAAATAATAATCATT

TTAAATGCAAGCTTTATATTATAAA

567
patch
GGTAATTAAAAAAATAATAATGATTTTAAATGGAAGGTTTATATTATAAA

TACAAAGTAAACATGAAAATAAAACCCAAACATAGCAGTGTTATTAAA

CTCTGGCCTGTAGCAGTGGCTC

568
patch
AAAACCCAAACATAGCAGTGTTATTAAACTCTGGCCTGTAGCAGTGG

CTCACACCTGTAATCCTAGCAGTTTGGAGGCCGAGACAGGTGGATTA

CTTGAGACCTGGAGTTTGAGACCAGC

569
patch
TTGGAGGCCGAGACAGGTGGATTACTTGAGACCTGGAGTTTGAGAC

CAGCCCAGGTGACACAGCAAGACCTCATCTCTACTAAAAATAAAAAAA

AATTAGCCAGGTGTGGTGGTATGCAC

570
patch
TCATCTCTACTAAAAATAAAAAAAAATTAGCCAGGTGTGGTGGTATGC

ACCTGTGGTCCCAGCTACTTAGGATGCTGGAGTGCGAGGATCGCTT

GAGCCCAGGAGGTCAAGGCTGCAGTG

571
patch
GATGCTGGAGTGCGAGGATCGCTTGAGCCCAGGAGGTCAAGGCTGC

AGTGAACTATGATCACTCATTACACCCCAGCCTGGGTGACAGAGCGA

GATGCTGTCTCAAAACAAAACAAAACG

572
patch
CCCCAGCCTGGGTGACAGAGCGAGATGCTGTCTCAAAACAAAACAAA

ACGAAAAACAACTCTGGCTAGATGCTATTGCTTGCCAAGGGTGCAGT

CTTCCATTTATTAAAAGTGAAAATTA

573
patch
GCTATTGCTTGCCAAGGGTGCAGTCTTCCATTTATTAAAAGTGAAAAT

TAGGGCCAGGCACATTGGCTCATGCCTGTAATCCCAGCACTTTGGGA

GGCTGAGGTGGGTGGATCACCTGAG

574
patch
TGCCTGTAATCCCAGCACTTTGGGAGGCTGAGGTGGGTGGATCACC

TGAGGTCAGGAGTTCGAGACCAGCCTGGCCAACATGGTGAAACCTTA

TCTCTGCCAAAAATATAAAAGATTAGC

575
patch
CTGGCCAACATGGTGAAACCTTATCTCTGCCAAAAATATAAAAGATTA

GCCATGTGTCGTGGTGGGTGCTTGTAATCTCAGCTACTTGGGAGGCT

GAGGCAGGAGAATCACTTGAACCCA

576
patch
TGTAATCTCAGCTACTTGGGAGGCTGAGGCAGGAGAATCACTTGAAC

CCAGGAGGCAGAGGTTGCAGTGAGCCAAGATTGTGCCATTGCACTC

CAGCCTGTGCAACGAGCGAAACTCCAA

577
patch
TCAGCTACTTGGGAGGCTGAGGCAGGAGAATCACTTGAACCCAGGA

GGCAGAGGTTGCAGTGAGCCAAGATTGTGCCATTGCACTCCAGCCT

GTGCAACGAGCGAAACTCCAACTCAAAA

APPLICATION

Profiling of ctDNA may offer a non-invasive approach to estimate disease burden and monitor disease progression. Embodiments of the method described herein provide a quantitative method, which exploits local tissue-specific and gene-specific cfDNA degradation patterns, that can accurately estimate ctDNA burden independent of genomic aberrations.

Nucleosome-dependent cfDNA degradation at selected NDRs (e.g. promoters and first exon-intron junctions) is shown herein to be strongly associated with differential transcriptional activity in tumors and blood. A machine learning model that was developed based on expression-specific DNA degradation patterns was found to be capable of accurately predicting ctDNA fractions (see examples). Leveraging on these findings, embodiments of the methods enable for the first time the detection of tumor DNA burden (even of very low frequency) in blood by only sequencing selected NDRs in cfDNA assays. From only less than 50 kb DNA sequence in total (4 kb×6 features or 4 kb×10 features), embodiments of the methods can accurately predict ctDNA levels, and thereby monitor the dynamics of the systemic tumor burden over time from blood/liquid samples. Indeed, using compact targeted sequencing (<25 kb) of predictive regions, the disclosure demonstrates how embodiments of the method enable quantitative low-cost tracking of ctDNA dynamics and disease progression.

Embodiments of the method enjoy several advantages including cost efficiency, flexibility, high accuracy and high sensitivity.

Embodiments of the method requires less sequencing and are therefore cost-efficient. In embodiments of the method, 100× less DNA sequencing (e.g. ˜30 kb at 100× coverage) is needed than low-pass WGS-based methods requiring whole genome sequencing at ˜0.1×. The sequencing cost is also comparable to sequencing a panel at 10,000× (usual target for coding mutation panels). Embodiments of the method also require less sequencing than standard targeted sequencing assays, which usually require more than 1000 kb DNA sequence.

Further, embodiments of the method can be implemented as an extension/add-on to a standard targeted panel assay, providing flexibility and further allowing for an extremely cost-effective approach to generic ctDNA profiling. For example, the NDRs identified herein can be easily added to existing cfDNA capture panels, eliminating the need to perform two separate assays. Notably, WGS or methylation-based assays do not enjoy this flexibility.

Last but not least, embodiments of the method are capable of accurately estimating cancer cell-free DNA burden with a mean deviation of about 3.4%. As compared to conventional coding panel that usually fail (no mutations) in more than 20-30% of patients, embodiments of the method are shown to be able to accurately predict cancer cfDNA in most cancer patients. As demonstrated in the examples, both colorectal cancer and pan-cancer models have high prediction accuracy, with the pan-cancer model generalizing well to most/all solid tumor types.

Overall, embodiments of the method enable quantitative low-cost tracking of ctDNA dynamics and disease progression, and would be invaluable in the clinical setting.

It will be appreciated by a person skilled in the art that other variations and/or modifications may be made to the embodiments disclosed herein without departing from the spirit or scope of the disclosure as broadly described. For example, in the description herein, features of different exemplary embodiments may be mixed, combined, interchanged, incorporated, adopted, modified, included etc. or the like across different exemplary embodiments. The present embodiments are, therefore, to be considered in all respects to be illustrative and not restrictive.

A Method of Estimating a Circulating Tumor DNA Burden and Related Kits and Methods

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