Methods for characterizing copy number variation using proximity-litigation sequencing

Information

  • Patent Grant
  • 11485996
  • Patent Number
    11,485,996
  • Date Filed
    Tuesday, October 3, 2017
    7 years ago
  • Date Issued
    Tuesday, November 1, 2022
    2 years ago
  • Inventors
    • Bethke; Axel (Belmont, CA, US)
  • Original Assignees
  • Examiners
    • Priest; Aaron A
Abstract
Disclosed here is a method for detecting genome rearrangement in a biological sample, comprising: obtaining a contact matrix plotted from proximity ligation sequencing data of at least one chromosome; identifying an abnormal contact pattern in the contact matrix compared to the contact matrix of a reference genome; comparing the abnormal contact pattern in the contact matrix to one or more known patterns associated with genomic rearrangement to identify a type of genomic rearrangement causing the abnormal contact pattern. Also disclosed is a method for detecting genome rearrangement in a biological sample, comprising: selecting linked chromosomal fragments from proximity ligation sequencing data of at least one chromosome, identifying an abnormal covalent bonding pattern of the linked chromosomal fragments compared to a reference genome; and comparing the abnormal covalent bonding pattern to one or more known patterns associated with genomic rearrangement to identify genomic rearrangement causing the abnormal covalent bonding pattern.
Description
BACKGROUND

Copy number variations are structural variations in the human genome that play an important role in the development of various diseases and genetic disorders. Copy number variation may be caused by different types of chromosomal rearrangement events, such as deletion, duplication, and relocation of DNA fragments within a chromosome. Copy number variation has been associated with various forms of cancer and neurological disorders. Detection of copy number variants of a chromosome of interest or a portion thereof in a biopsy sample of a patient can be a powerful tool to identify genetic diagnostic or prognostic indicators of a disease or disorder. Detection of copy number variation is also useful in detecting genetic disorders in non-invasive prenatal testing. The structure of rearrangements is unique to each patient and defining its exact nature is relevant for diagnostics and treatment decisions.


Nuclear proximity ligation assay was first described in Cullen et al., Science 261:203-206 (1993). Subsequently, nuclear proximity ligation has been combined with high-throughput sequencing to probe three-dimensional proximity of different genomic segments that are distant from each other on the one-dimensional linear space of the chromosome. For example, ChIA-PET probes chromatin interaction by paired-end tag sequencing to detect genome wide chromatin interactions mediated by specific protein factors, and Hi-C involves high-throughput chromatin conformation capture for mapping large-scale structures such as topologically associated domains. See Selvaraj et al., Nature Biotechnology 31:1111-1118 (2013) and Rao et al., Cell 159:1665-1680 (2014).


SUMMARY

The present inventors successfully applied proximity ligation sequencing in the detection of copy number variations that are characterized by various types of chromosomal rearrangement. Accordingly, a first aspect the invention described herein relates to a method for detecting genome rearrangement in a biological sample, comprising: selecting linked chromosomal fragments from proximity ligation sequencing data of at least one chromosome of the biological sample, wherein the selected linked chromosomal fragments substantially originate from covalent bonding of two chromosomal fragments; identifying an abnormal covalent bonding pattern of the linked chromosomal fragments compared to a reference genome; and comparing the abnormal covalent bonding pattern to one or more known patterns associated with genomic rearrangement to identify a type of genomic rearrangement causing the abnormal covalent bonding pattern.


In some embodiments, the genomic rearrangement identified is deletion of chromosomal fragments. In some embodiments, the deletion of a chromosomal fragment is identified by: (i) a loss of covalent bonding between two or more continuous chromosomal fragments that are linked to each other in the reference genome, and (ii) a gain of covalent bonding between two chromosomal fragments that are separated by one or more continuous chromosomal fragments in the reference genome.


In some embodiments, the genomic rearrangement identified is duplication of chromosomal fragments. In some embodiments, the duplication of a chromosomal fragment is identified by: (i) a loss of covalent bonding between a first and second chromosomal fragments that are linked to each other in the reference genome, (ii) a gain of covalent bonding between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment; (iii) a gain of covalent bonding between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment; and (iv) an enhancement of covalent bonding between two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment, that are linked to each other in the reference genome.


In some embodiments, the genomic rearrangement identified is relocation of chromosomal fragments. In some embodiments, the relocation of chromosomal fragments is identified by: (i) a loss of covalent bonding between a first and second chromosomal fragments that are linked to each other in the reference genome, (ii) a gain of covalent bonding between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment; (iii) a gain of covalent bonding between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment; (iv) a loss of covalent bonding between the third chromosomal fragment and a fifth chromosomal fragments, wherein the third and fifth chromosomal fragments are linked to each other in the reference genome; (v) a loss of covalent bonding between the fourth chromosomal fragment and a sixth chromosomal fragments, wherein the fourth and sixth chromosomal fragments are linked to each other in the reference genome; and (vi) a gain of covalent bonding between the fifth and sixth chromosomal fragments, wherein the fifth chromosomal fragment is separated from the sixth chromosomal fragment in the reference genome by two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment.


A second aspect the invention described herein relates to a method for detecting genome rearrangement in a biological sample, comprising: obtaining a contact matrix plotted from proximity ligation sequencing data of at least one chromosome of the biological sample; identifying an abnormal contact pattern in the contact matrix compared to the contact matrix of a reference genome; and comparing the abnormal contact pattern in the contact matrix to one or more known patterns associated with genomic rearrangement to identify a type of genomic rearrangement causing the abnormal contact pattern.


In some embodiments, the genomic rearrangement identified is deletion of chromosomal fragments. In some embodiments, the deletion of a chromosomal fragment is identified by: (i) a loss of one or more cis interactions between two or more continuous chromosomal fragments that are linked to each other in the reference genome, and (ii) a gain of a trans interaction between two chromosomal fragments that are separated by the two or more continuous chromosomal fragments in the reference genome.


In some embodiments, the genomic rearrangement identified is duplication of chromosomal fragments. In some embodiments, the duplication of a chromosomal fragment is identified by: (i) a loss of a cis interaction between a first and second chromosomal fragments that are linked to each other in the reference genome, (ii) a gain of a trans interaction between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment; (iii) a gain of a trans interaction between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment; and (iv) an enhancement of one or more cis interactions between two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment, that are linked to each other in the reference genome.


In some embodiments, the genomic rearrangement identified is relocation of chromosomal fragments. In some embodiments, the relocation of chromosomal fragments is identified by: (i) a loss of a cis interaction between a first and second chromosomal fragments that are linked to each other in the reference genome, (ii) a gain of a trans interaction between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment; (iii) a gain of a trans interaction between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment; (iv) a loss of a cis interaction between the third chromosomal fragment and a fifth chromosomal fragments, wherein the third and fifth chromosomal fragments are linked to each other in the reference genome; (v) a loss of a cis interaction between the fourth chromosomal fragment and a sixth chromosomal fragments, wherein the fourth and sixth chromosomal fragments are linked to each other in the reference genome; and (vi) a gain of a trans interaction between the fifth and sixth chromosomal fragments, wherein the fifth chromosomal fragment is separated from the sixth chromosomal fragment in the reference genome by two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment.


A third aspect the invention described herein relates to a method for detecting genome rearrangement in a biological sample, comprising: subjecting the biological sample to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the biological sample; selecting linked chromosomal fragments from the proximity ligation sequencing data, wherein the selected linked chromosomal fragments substantially originate from covalent bonding of two chromosomal fragments; identifying an abnormal covalent bonding pattern of the linked chromosomal fragments compared to a reference genome; and comparing the abnormal covalent bonding pattern to one or more known patterns associated with genomic rearrangement to identify a type of genomic rearrangement causing the abnormal covalent bonding pattern.


A fourth aspect the invention described herein relates to a method for detecting genome rearrangement in a biological sample, comprising: subjecting the biological sample to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the biological sample; obtaining a contact matrix plotted from the proximity ligation sequencing data; identifying an abnormal contact pattern in the contact matrix compared to the contact matrix of a reference genome; comparing the abnormal contact pattern in the contact matrix to one or more known patterns associated with genomic rearrangement to identify a type of genomic rearrangement causing the abnormal contact pattern.


A fifth aspect the invention described herein relates to a method for diagnosing a disease or genetic disorder associated with copy number variation, comprising: subjecting a tissue biopsy sample of a patient to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the tissue biopsy sample of the patient; selecting linked chromosomal fragments from the proximity ligation sequencing data, wherein the selected linked chromosomal fragments substantially originate from covalent bonding of two chromosomal fragments; identifying an abnormal covalent bonding pattern of the linked chromosomal fragments compared to a reference genome; comparing the abnormal covalent bonding pattern to one or more known patterns associated with copy number variation to identify a type of copy number variation causing the abnormal covalent bonding pattern and the location and/or length of the copy number variation, wherein the copy number variation identified is correlated to a disease or genetic disorder.


A sixth aspect the invention described herein relates to a method for diagnosing a disease or genetic disorder associated with copy number variation, comprising: subjecting a tissue biopsy sample of a patient to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the tissue biopsy sample of the patient; obtaining a contact matrix plotted from the proximity ligation sequencing data; identifying an abnormal contact pattern in the contact matrix compared to the contact matrix of a reference genome; and comparing the abnormal contact pattern in the contact matrix to one or more known patterns associated with copy number variation to identify a type of copy number variation causing the abnormal contact pattern and the location and/or length of the copy number variation; wherein the copy number variation identified is correlated to a disease or genetic disorder.


An addition aspect of the invention described herein relates to use of proximity ligation sequencing data to reconstruct one-dimensional genome structure (linear sequence) of a genome that has experienced chromosomal rearrangements.


These and other features, together with the organization and manner of operation thereof, will become apparent from the following detailed description when taken in conjunction with the accompanying drawings.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1: PL-Seq results of a continuous chromosome plotted as contact matrix. The closer two sequences on the same chromosome are to each other, the more contacts are detected. Most of the interactions are cis-interactions within the same chromosome. A linear chromosome with only cis-interactions will plot in a contact matrix in a continuous pattern.



FIG. 2: Deletion of a fragment within a chromosome. A deletion generates one new trans-interaction at reconnection of 5′ and 3′ donor location that reveals location of start/end points of the deletion. All cis-interactions within deleted fragment are lost, which reveals deletion length. Chromosome sequences are divided into consecutively numbered blocks. Block arrows indicate cis- and trans-interactions between sequences blocks, represented by numbered blocks. Lists show linked fragments as block numbers for both interacting sequences separated by a dash. Shown are lists for linked fragments of a wild type chromosome as reference and for the corresponding rearranged chromosome. Thin arrows point at interactions that appear or disappear due to genome rearrangements of various kinds, and connect to the corresponding linked fragments.



FIG. 3: Contact matrix corresponding to the deletion of a chromosomal fragment as shown in FIG. 2.



FIG. 4: Amplification and insertion of a fragment within a chromosome. An amplification-insertion generates two new trans-interaction located at 5′ donor and 5′ acceptor location and at 3′ donor and 3′ acceptor location that reveal length and orientation of the duplication. All cis-interactions within the duplicated fragment are duplicated and quantification reveals fold amplification of duplication. One single cis-interaction at insertion location is lost which reveals insertion location. Chromosome sequences are divided into consecutively numbered blocks. Block arrows indicate cis- and trans-interactions between sequences blocks, represented by numbered blocks. Lists show linked fragments as block numbers for both interacting sequences separated by a dash. Shown are lists for linked fragments of a wild type chromosome as reference and for the corresponding rearranged chromosome. Thin arrows point at interactions that appear or disappear due to genome rearrangements of various kinds, and connect to the corresponding linked fragments.



FIG. 5: Contact matrix corresponding to the amplification-insertion of a chromosomal fragment as shown in FIG. 4.



FIG. 6: Relocation of a fragment within a chromosome. A relocation generates multiple changes in a contact matrix, including two new trans-interactions at 5′ donor and 5′ acceptor location and at 3′ donor and 3′ acceptor location reveal acceptor location, length and orientation of the insert, as well as one new trans-interaction at reconnection of donor 5′ and 3′ end reveals donor location and length. Chromosome sequences are divided into consecutively numbered blocks. Block arrows indicate cis- and trans-interactions between sequences blocks, represented by numbered blocks. Lists show linked fragments as block numbers for both interacting sequences separated by a dash. Shown are lists for linked fragments of a wild type chromosome as reference and for the corresponding rearranged chromosome. Thin arrows point at interactions that appear or disappear due to genome rearrangements of various kinds, and connect to the corresponding linked fragments.



FIG. 7: Relocation of a fragment within a chromosome. One single cis-interaction at insertion location is lost that reveals the acceptor location. Two cis-interactions at the deletion borders are lost which reveals donor location. Chromosome sequences are divided into consecutively numbered blocks. Block arrows indicate cis- and trans-interactions between sequences blocks, represented by numbered blocks. Lists show linked fragments as block numbers for both interacting sequences separated by a dash. Shown are lists for linked fragments of a wild type chromosome as reference and for the corresponding rearranged chromosome. Thin arrows point at interactions that appear or disappear due to genome rearrangements of various kinds, and connect to the corresponding linked fragments.



FIG. 8: Contact matrix corresponding to the relocation of a chromosomal fragment as shown in FIGS. 6 and 7.





DETAILED DESCRIPTION

Reference will now be made in detail to some specific embodiments of the invention contemplated by the inventors for carrying out the invention. Certain examples of these specific embodiments are illustrated in the accompanying drawings. While the invention is described in conjunction with these specific embodiments, it will be understood that it is not intended to limit the invention to the described embodiments. On the contrary, it is intended to cover alternatives, modifications, and equivalents as may be included within the spirit and scope of the invention as defined by the appended claims.


In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. Particular example embodiments of the present invention may be implemented without some or all of these specific details.


Various techniques and mechanisms of the present invention will sometimes be described in singular form for clarity. However, it should be noted that some embodiments include multiple iterations of a technique or multiple instantiations of a mechanism unless noted otherwise.


Methods for Identifying Genome Rearrangement and Copy Number Variation

The invention described herein encompasses a method for detecting genome rearrangement and copy number variation in a biological sample using proximity ligation sequencing data.


In some embodiments, the method comprises subjecting a biological sample to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the biological sample. The proximity ligation sequencing data can be obtained from, for example, a biological sample of a mammal. The proximity ligation sequencing data can be obtained from, for example, a biological sample of a human subject. The proximity ligation sequencing data can be obtained from, for example, a tissue biopsy sample of a human subject.


Specific biological samples include tissue biopsies such as tumors tissues and placenta tissues (NIPT), captured single cells such as nucleated fetal red blood cells in pregnant women's blood (NIPT), circulating tumor cells and circulating immune cells (e.g., to screen for VDJ recombination in T- and B-cells), as well as cell culture samples (e.g., to monitor genome integrity of the culture such as stem cell expansion).


Certain embodiments of proximity ligation sequencing are described in Selvaraj et al., Nature Biotechnology 31:1111-1118 (2013) and Rao et al., Cell 159:1665-1680 (2014), which are incorporated by reference in their entireties. For example, the proximity ligation sequencing can comprise crosslinking genomic DNAs in situ. The crosslinked DNA can be digested with a restriction enzyme and ligated to form linked fragments. The linked fragments can be isolated from cells and sequenced to obtain proximity ligation sequencing data. The proximity ligation sequencing data of a chromosome can be plotted into a contact matrix showing both locations of contacts and contact frequencies thereof.



FIG. 1 shows a continuous chromosome plotted as a contact matrix, with chromosomal fragments divided into consecutively numbered blocks, and contacts between chromosomal fragments highlighted in the contact matrix as pixels. Typically, the closer two fragments on the same chromosome are to each other, the more contacts are detected. Most of the interactions are cis-interactions within the same chromosome. A linear chromosome with only cis-interactions will plot in a contact matrix in a continuous pattern.


Known contact matrix plotted from proximity ligation sequencing data, however, include many pixels that originate not from covalent bonding between two chromosomal fragments, but from noncovalent interactions between two distant chromosomal fragments. The contact frequencies of these pixels/blocks are typically lower than the contact frequencies of those correlating to covalently bonded chromosomal fragments. Accordingly, in some embodiments, the pixels and sequencing reads correlating to noncovalent interactions between two distant chromosomal fragments are filtered and separated from the pixels and sequencing reads correlating to covalently bonded chromosomal fragments, prior to analyzing the pixels and sequencing reads for detection of genome rearrangement and copy number variation.


The genome rearrangement and copy number variation can be detected by directly analyzing the sequencing reads of proximity ligation sequencing. The method can comprise the steps of: selecting linked chromosomal fragments from proximity ligation sequencing data of at least one chromosome of the biological sample, wherein the selected linked chromosomal fragments substantially originate from covalent bonding of two chromosomal fragments; identifying an abnormal covalent bonding pattern of the linked chromosomal fragments compared to a reference genome; and comparing the abnormal covalent bonding pattern to one or more known patterns associated with genomic rearrangement to identify a genomic rearrangement causing the abnormal covalent bonding pattern. A reference genome can refer to a genome before the occurrence of one or more rounds of rearrangement, whereas a sample tested may comprise one or more rounds of rearrangement.


In some embodiments, a linked-fragments threshold count can be defined, wherein linked-fragments with counts below the threshold are considered as transient interactions resulting from protein-DNA interactions that are disregarded, and linked-fragments with counts above the threshold are considered as permanent DNA-DNA bonds. Next, the linked fragments that originate from newly formed DNA-DNA covalent bonds (rearrangement) can be listed, and rearrangement patterns causative to such linked fragments can be identified.


The genome rearrangement and copy number variation can also be detected by analyzing the contact matrix plotted from proximity ligation sequencing data. The method can comprise the steps of: obtaining a contact matrix plotted from proximity ligation sequencing data of at least one chromosome of the biological sample; identifying an abnormal contact pattern in the contact matrix compared to the contact matrix of a reference genome; and comparing the abnormal contact pattern in the contact matrix to one or more known patterns associated with genomic rearrangement to identify a genomic rearrangement causing the abnormal contact pattern.


In some embodiments, abnormal contact matrix patterns are recorded. The recorded patterns are compared to known patterns of specific rearrangements. Recognition of a specific pattern identifies the type of the rearrangement(s). The exact location of each recognized abnormal pattern allows identification of exact locations of the observed rearrangement.


The identification of the type, location, length, and/or orientation of the genome arrangement are described in detail in the following paragraphs.


Deletion of Chromosomal Fragments Within a Genome

In some embodiments, the method described herein can be used to detect deletion of chromosomal fragments.


As shown in FIGS. 2 and 3, a deletion of a fragment within a chromosome can generate a new trans-interaction at reconnection of 5′ and 3′ donor location that reveals location of start/end points of the deletion. All cis-interactions within the deleted fragment are lost, which reveals deletion length.


Accordingly, in some embodiments wherein sequencing reads of proximity ligation sequencing are directly used to analyze genome rearrangement and copy number variation, the deletion of a chromosomal fragment can be identified by one or more of: (i) a loss of covalent bonding between two or more continuous chromosomal fragments that are linked to each other in the reference genome (e.g., loss of contact between 5 and 6, 6 and 7, and 7 and 8 in FIG. 2), and (ii) a gain of covalent bonding between two chromosomal fragments that are separated by one or more continuous chromosomal fragments in the reference genome (e.g., gain of contact between 5 and 8 in FIG. 2).


In other embodiments wherein a contact matrix is plotted from proximity ligation sequencing data and used to analyze genome rearrangement and copy number variation, the deletion of a chromosomal fragment can be identified by one or more of: (i) a loss of one or more cis interactions between two or more continuous chromosomal fragments that are linked to each other in the reference genome (e.g., loss of contact between 5 and 6, 6 and 7, and 7 and 8 in FIG. 3), and (ii) a gain of a trans interaction between two chromosomal fragments that are separated by the two or more continuous chromosomal fragments in the reference genome (e.g., gain of contact between 5 and 8 in FIG. 3).


Duplication of Chromosomal Fragments Within a Genome

In some embodiments, the method described herein can be used to detect duplication (i.e., amplification and insertion) of chromosomal fragments.


As shown in FIGS. 4 and 5, an amplification and insertion of a fragment within a chromosome can generate two new trans-interaction located at 5′ donor and 5′ acceptor location and at 3′ donor and 3′ acceptor location that reveal the length and orientation of the duplication. All cis-interactions within the duplicated fragment are duplicated, and quantification thereof reveals fold amplification of duplication. One single cis-interaction at insertion location is lost which reveals insertion location.


Accordingly, in some embodiments wherein sequencing reads of proximity ligation sequencing are directly used to analyze genome rearrangement and copy number variation, the duplication of a chromosomal fragment can be identified by one or more of: (i) a loss of covalent bonding between a first and second chromosomal fragments that are linked to each other in the reference genome (e.g., loss of contact between 4 and 5 in FIG. 4), (ii) a gain of covalent bonding between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment (e.g., gain of contact between 4 and 10 in FIG. 4), (iii) a gain of covalent bonding between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment (e.g., gain of contact between 5 and 12 in FIG. 4), and (iv) an enhancement of covalent bonding between two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment, that are linked to each other in the reference genome (e.g., enhanced contact between 10 and 11 and 11 and 12 in FIG. 4).


In some embodiments, the duplication of a chromosomal fragment can be identified by one or more of: (i) a loss of covalent bonding between a first and second chromosomal fragments that are linked to each other in the reference genome, (ii) a gain of covalent bonding between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment, (iii) a gain of covalent bonding between the second chromosomal fragment and the third chromosomal fragment, wherein the second chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment.


In other embodiments wherein a contact matrix is plotted from proximity ligation sequencing data and used to analyze genome rearrangement and copy number variation, the duplication of a chromosomal fragment can be identified by one or more of: (i) a loss of a cis interaction between a first and second chromosomal fragments that are linked to each other in the reference genome (e.g., loss of contact between 4 and 5 in FIG. 5), (ii) a gain of a trans interaction between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment (e.g., gain of contact between 4 and 10 in FIG. 5), (iii) a gain of a trans interaction between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment (e.g., gain of contact between 5 and 12 in FIG. 5), and (iv) an enhancement of one or more cis interactions between two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment, that are linked to each other in the reference genome (e.g., enhanced contact between 10 and 11 and 11 and 12 in FIG. 5).


In other embodiments, the duplication of a chromosomal fragment can be identified by one or more of: (i) a loss of a cis interaction between a first and second chromosomal fragments that are linked to each other in the reference genome, (ii) a gain of a trans interaction between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment, (iii) a gain of a trans interaction between the second chromosomal fragment and the third chromosomal fragment, wherein the second chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment.


Relocation of Chromosomal Fragments Within a Genome

In some embodiments, the method described herein can be used to detect relocation of chromosomal fragments.


As shown in FIG. 6, a relocation of a fragment within a chromosome can generate multiple changes in a contact matrix, including two new trans-interactions at 5′ donor and 5′ acceptor location and at 3′ donor and 3′ acceptor location which reveal acceptor location, length and orientation of the insert, as well as one new trans-interaction at reconnection of donor 5′ and 3′ end which reveals donor location and length. In addition, as shown in FIG. 7, one single cis-interaction at insertion location is lost which reveals the acceptor location. Two cis-interactions at the deletion borders are lost which reveals donor location.


Accordingly, in some embodiments wherein sequencing reads of proximity ligation sequencing are directly used to analyze genome rearrangement and copy number variation, the relocation of a chromosomal fragment can be identified by one or more of: (i) a loss of covalent bonding between a first and second chromosomal fragments that are linked to each other in the reference genome (e.g., loss of contact between 4 and 5 in FIG. 7), (ii) a gain of covalent bonding between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment (e.g., gain of contact between 4 and 10 in FIG. 6), (iii) a gain of covalent bonding between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment (e.g., gain of contact between 5 and 12 in FIG. 6), (iv) a loss of covalent bonding between the third chromosomal fragment and a fifth chromosomal fragments, wherein the third and fifth chromosomal fragments are linked to each other in the reference genome (e.g., loss of contact between 10 and 9 in FIG. 7), (v) a loss of covalent bonding between the fourth chromosomal fragment and a sixth chromosomal fragments, wherein the fourth and sixth chromosomal fragments are linked to each other in the reference genome (e.g., loss of contact between 12 and 13 in FIG. 7), and (vi) a gain of covalent bonding between the fifth and sixth chromosomal fragments, wherein the fifth chromosomal fragment is separated from the sixth chromosomal fragment in the reference genome by two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment (e.g., gain of contact between 9 and 13 in FIG. 6).


In some embodiments, the relocation of a chromosomal fragment can be identified by one or more of: (i) a loss of covalent bonding between a first and second chromosomal fragments that are linked to each other in the reference genome, (ii) a gain of covalent bonding between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment, (iii) a gain of covalent bonding between the second chromosomal fragment and the third chromosomal fragment, wherein the second chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment, (iv) a loss of covalent bonding between the third chromosomal fragment and a fifth chromosomal fragments, wherein the third and fifth chromosomal fragments are linked to each other in the reference genome, (v) a loss of covalent bonding between the third chromosomal fragment and a sixth chromosomal fragments, wherein the third and sixth chromosomal fragments are linked to each other in the reference genome, and (vi) a gain of covalent bonding between the fifth and sixth chromosomal fragments, wherein the fifth chromosomal fragment is separated from the sixth chromosomal fragment in the reference genome by the third chromosomal fragment.


In other embodiments wherein a contact matrix is plotted from proximity ligation sequencing data and used to analyze genome rearrangement and copy number variation, the relocation of a chromosomal fragment can be identified by one or more of: (i) a loss of a cis interaction between a first and second chromosomal fragments that are linked to each other in the reference genome (e.g., loss of contact between 4 and 5 in FIG. 8), (ii) a gain of a trans interaction between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment (e.g., gain of contact between 4 and 10 in FIG. 8), (iii) a gain of a trans interaction between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment (e.g., gain of contact between 5 and 12 in FIG. 8), (iv) a loss of a cis interaction between the third chromosomal fragment and a fifth chromosomal fragments, wherein the third and fifth chromosomal fragments are linked to each other in the reference genome (e.g., loss of contact between 10 and 9 in FIG. 8), (v) a loss of a cis interaction between the fourth chromosomal fragment and a sixth chromosomal fragments, wherein the fourth and sixth chromosomal fragments are linked to each other in the reference genome (e.g., loss of contact between 12 and 13 in FIG. 8), and (vi) a gain of a trans interaction between the fifth and sixth chromosomal fragments, wherein the fifth chromosomal fragment is separated from the sixth chromosomal fragment in the reference genome by two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment (e.g., gain of contact between 9 and 13 in FIG. 8).


In other embodiments, the relocation of a chromosomal fragment can be identified by one or more of: (i) a loss of a cis interaction between a first and second chromosomal fragments that are linked to each other in the reference genome, (ii) a gain of a trans interaction between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment, (iii) a gain of a trans interaction between the second chromosomal fragment and the third chromosomal fragment, wherein the second chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment, (iv) a loss of a cis interaction between the third chromosomal fragment and a fifth chromosomal fragments, wherein the third and fifth chromosomal fragments are linked to each other in the reference genome, (v) a loss of a cis interaction between the third chromosomal fragment and a sixth chromosomal fragments, wherein the third and sixth chromosomal fragments are linked to each other in the reference genome, and (vi) a gain of a trans interaction between the fifth and sixth chromosomal fragments, wherein the fifth chromosomal fragment is separated from the sixth chromosomal fragment in the reference genome by the third chromosomal fragment.


Applications

For diseases and genetic disorders known to be associated with certain copy number variation such as deletion, duplication, or relocation of a chromosomal fragment, the method described herein can also be used for diagnosing the diseases and genetic disorders.


In some embodiment, the invention provides for a method for diagnosing a disease or genetic disorder associated with copy number variation, comprising: subjecting a tissue biopsy sample of a patient to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the tissue biopsy sample; selecting linked chromosomal fragments from the proximity ligation sequencing data, wherein the selected linked chromosomal fragments substantially originate from covalent bonding of two chromosomal fragments; identifying an abnormal covalent bonding pattern of the linked chromosomal fragments compared to a reference genome; comparing the abnormal covalent bonding pattern to one or more known patterns associated with copy number variation to identify a type of copy number variation causing the abnormal covalent bonding pattern and the location and/or length of the copy number variation, wherein the copy number variation identified is correlated to a disease or genetic disorder.


In some embodiment, the invention provides for a method for diagnosing a disease or genetic disorder associated with copy number variation, comprising: subjecting a tissue biopsy sample of patient to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the tissue biopsy sample; obtaining a contact matrix plotted from the proximity ligation sequencing data; identifying an abnormal contact pattern in the contact matrix compared to the contact matrix of a reference genome; and comparing the abnormal contact pattern in the contact matrix to one or more known patterns associated with copy number variation to identify a type of copy number variation causing the abnormal contact pattern and the location and/or length of the copy number variation, wherein the copy number variation identified is correlated to a disease or genetic disorder.


In addition, the method described herein can be used for identifying one or more copy number variations associated with a certain disease or genetic disorder.


In some embodiment, the invention provides for a method for identifying one or more copy number variations causing a disease or genetic disorder, comprising: subjecting a plurality of tissue biopsy samples from patient suffering from a certain disease or genetic disorder to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the tissue biopsy sample; selecting linked chromosomal fragments from the proximity ligation sequencing data, wherein the selected linked chromosomal fragments substantially originate from covalent bonding of two chromosomal fragments; identifying an abnormal covalent bonding pattern of the linked chromosomal fragments compared to a reference genome; comparing the abnormal covalent bonding pattern to one or more known patterns associated with copy number variation to identify a type of copy number variation causing the abnormal covalent bonding pattern and the location and/or length of the copy number variation; and identifying at least one copy number variation common to a statistically significant number of patients suffering from the same disease or genetic disorder.


In some embodiment, the invention provides for a method for identifying one or more copy number variations causing a disease or genetic disorder, comprising: subjecting a plurality of tissue biopsy samples from patient suffering from a certain disease or genetic disorder to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the tissue biopsy sample; obtaining a contact matrix plotted from proximity ligation sequencing data; identifying an abnormal contact pattern in the contact matrix compared to the contact matrix of a reference genome; and comparing the abnormal contact pattern in the contact matrix to one or more known patterns associated with copy number variation to identify a type of copy number variation causing the abnormal contact pattern and the location and/or length of the copy number variation; and identifying at least one copy number variation common to a statistically significant number of patients suffering from the same disease or genetic disorder.


Further Implementations

Many embodiments disclosed herein may be implemented in digital electronic circuitry, integrated circuitry, specially designed ASICs (application-specific integrated circuits), computer hardware, firmware, software, or in combinations thereof. Method steps of the presently disclosed embodiments can be performed by a programmable processor executing a program of instructions to perform functions of the presently disclosed embodiments by operating on input data and generating output; and apparatus relating to the presently disclosed embodiments can be implemented in a computer program product tangibly embodied in a machine-readable storage device for execution by a programmable processor. The presently disclosed embodiments can be implemented advantageously in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device. Each computer program can be implemented in a high-level procedural or object-oriented programming language or in assembly or machine language if desired; and in any case, the language can be a compiled or interpreted language. A computer program may be deployed in any form, including as a stand-alone program, or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program may be deployed to be executed or interpreted on one computer or on multiple computers at one site, or distributed across multiple sites and interconnected by a communication network.


Computer readable storage media, as used herein, refers to physical or tangible storage (as opposed to signals) and includes without limitation volatile and non-volatile, removable and non-removable media implemented in any method or technology for the tangible storage of information such as computer-readable instructions, data structures, program modules or other data. Computer readable storage media includes any type of non-transitory computer readable medium including, but not limited to, RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other physical or material medium which can be used to tangibly store the desired information or data or instructions and which can be accessed by a computer or processor.


Any of the methods described herein may include the output of data in a physical format, such as on a computer screen, or on a paper printout. In explanations of any embodiments elsewhere in this document, it should be understood that the described methods may be combined with the output of the actionable data in a format that can be acted upon by a physician. In addition, the described methods may be combined with the actual execution of a clinical decision that results in a clinical treatment, or the execution of a clinical decision to make no action. Some of the embodiments described herein may be combined with the output of the actionable data, and the execution of a clinical decision that results in a clinical treatment, or the execution of a clinical decision to make no action.


In the foregoing description, it will be readily apparent to one skilled in the art that varying substitutions and modifications may be made to the invention disclosed herein without departing from the scope and spirit of the invention. The invention illustratively described herein suitably may be practiced in the absence of any element or elements, limitation or limitations, which is not specifically disclosed herein. The terms and expressions which have been employed are used as terms of description and not of limitation, and there is no intention that in the use of such terms and expressions of excluding any equivalents of the features shown and described or portions thereof, but it is recognized that various modifications are possible within the scope of the invention. Thus, it should be understood that although the present invention has been illustrated by specific embodiments and optional features, modification and/or variation of the concepts herein disclosed may be resorted to by those skilled in the art, and that such modifications and variations are considered to be within the scopes of this invention.

Claims
  • 1. A method for detecting genome rearrangement in a biological sample, comprising: subjecting the biological sample to proximity ligation sequencing to obtain proximity ligation sequencing data of at least one chromosome of the biological sample, wherein the proximity ligation sequencing comprises crosslinking genomic DNAs in situ, digesting the crosslinked DNA with at least one restriction enzyme to obtain digested DNA, ligating the digested DNA to obtain linked fragments, and sequencing the linked fragments to obtain proximity ligation sequencing data, and wherein the proximity ligation sequencing data comprises locations of contacts and contact frequencies between linked chromosomal fragments;selecting linked chromosomal fragments from the proximity ligation sequencing data of at least one chromosome of the biological sample, wherein the selected linked chromosomal fragments substantially originate from covalent bonding of two chromosomal fragments, wherein linked chromosomal fragments originating from non-covalent interactions are separated from linked chromosomal fragments originating from covalent bonding based on the contact frequencies;identifying an abnormal covalent bonding pattern of the linked chromosomal fragments compared to a reference genome; andcomparing the abnormal covalent bonding pattern to one or more known patterns associated with genomic rearrangement to identify a type of genomic rearrangement causing the abnormal covalent bonding pattern.
  • 2. The method of claim 1, wherein the genomic rearrangement identified is deletion of chromosomal fragments.
  • 3. The method of claim 2, wherein the deletion of a chromosomal fragment is identified by: (i) a loss of covalent bonding between two or more continuous chromosomal fragments that are linked to each other in the reference genome, and(ii) a gain of covalent bonding between two chromosomal fragments that are separated by one or more continuous chromosomal fragments in the reference genome.
  • 4. The method of claim 1, wherein the genomic rearrangement identified is duplication of chromosomal fragments.
  • 5. The method of claim 4, wherein the duplication of a chromosomal fragment is identified by: (i) a loss of covalent bonding between a first and second chromosomal fragments that are linked to each other in the reference genome,(ii) a gain of covalent bonding between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment;(iii) a gain of covalent bonding between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment; and(iv) an enhancement of covalent bonding between two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment, that are linked to each other in the reference genome.
  • 6. The method of claim 1, wherein the genomic rearrangement identified is relocation of chromosomal fragments.
  • 7. The method of claim 6, wherein the relocation of chromosomal fragments is identified by: (i) a loss of covalent bonding between a first and second chromosomal fragments that are linked to each other in the reference genome,(ii) a gain of covalent bonding between the first chromosomal fragment and a third chromosomal fragment, wherein the first chromosomal fragment is separated from the third chromosomal fragment in the reference genome by at least one chromosomal fragment;(iii) a gain of covalent bonding between the second chromosomal fragment and a fourth chromosomal fragment, wherein the second chromosomal fragment is separated from the fourth chromosomal fragment in the reference genome by at least one chromosomal fragment;(iv) a loss of covalent bonding between the third chromosomal fragment and a fifth chromosomal fragments, wherein the third and fifth chromosomal fragments are linked to each other in the reference genome;(v) a loss of covalent bonding between the fourth chromosomal fragment and a sixth chromosomal fragments, wherein the fourth and sixth chromosomal fragments are linked to each other in the reference genome; and(vi) a gain of covalent bonding between the fifth and sixth chromosomal fragments, wherein the fifth chromosomal fragment is separated from the sixth chromosomal fragment in the reference genome by two or more continuous chromosomal fragments, from the third chromosomal fragment to the fourth chromosomal fragment.
  • 8. The method of claim 1, wherein the biological sample is a human tissue biopsy sample.
  • 9. The method of claim 1, further comprising identifying the location, length, and/or orientation of the genome arrangement.
  • 10. The method of claim 1, wherein linked fragments originating from transient protein-DNA interaction are disregarded based on frequency counts from the proximity ligation sequencing data.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application Ser. No. 62/404,176, filed Oct. 4, 2016, which is hereby incorporated by reference in its entirety.

PCT Information
Filing Document Filing Date Country Kind
PCT/US2017/054870 10/3/2017 WO
Publishing Document Publishing Date Country Kind
WO2018/067517 4/12/2018 WO A
US Referenced Citations (567)
Number Name Date Kind
4040785 Kim et al. Aug 1977 A
4683195 Mullis et al. Jul 1987 A
4942124 Church et al. Jul 1990 A
5486477 Carver Jan 1996 A
5635366 Cooke et al. Jun 1997 A
5648220 Bianchi et al. Jul 1997 A
5716776 Bogart Feb 1998 A
5753467 Jensen et al. May 1998 A
5824467 Mascarenhas Oct 1998 A
5854033 Lizardi Dec 1998 A
5860917 Comanor et al. Jan 1999 A
5891734 Gill et al. Apr 1999 A
5952170 Stroun et al. Sep 1999 A
5962223 Whiteley et al. Oct 1999 A
5972602 Hyland et al. Nov 1999 A
5976790 Pinkel et al. Nov 1999 A
5994148 Stewart et al. Nov 1999 A
6001611 Will Dec 1999 A
6025128 Veltri et al. Feb 2000 A
6066454 Lipshutz et al. May 2000 A
6100029 Lapidus et al. Aug 2000 A
6108635 Herren et al. Aug 2000 A
6124120 Lizardi Sep 2000 A
6143496 Brown et al. Nov 2000 A
6156504 Gocke et al. Dec 2000 A
6180349 Ginzinger Jan 2001 B1
6235472 Landegren et al. Feb 2001 B1
6214558 Shuber et al. Apr 2001 B1
6221603 Mahtani Apr 2001 B1
6258540 Lo et al. Jul 2001 B1
6300077 Shuber et al. Oct 2001 B1
6329179 Kopreski Dec 2001 B1
6335167 Pinkel et al. Jan 2002 B1
6479235 Schumm et al. Nov 2002 B1
6440706 Vogelstein et al. Dec 2002 B1
6489135 Parrott et al. Dec 2002 B1
6605451 Marmaro et al. Aug 2003 B1
6617137 Dean et al. Sep 2003 B2
6720140 Hartley et al. Apr 2004 B1
6794140 Goldsborough Sep 2004 B1
6807491 Pavlovic et al. Oct 2004 B2
6858412 Willis et al. Feb 2005 B2
6927028 Lo et al. Aug 2005 B2
6852487 Barany et al. Oct 2005 B1
6958211 Vingerhoets et al. Oct 2005 B2
6964847 Englert Nov 2005 B1
7035739 Schadt et al. Apr 2006 B2
7058517 Denton et al. Jun 2006 B1
7058616 Larder et al. Jun 2006 B1
7101663 Godfrey et al. Sep 2006 B2
7153656 Nolan et al. Dec 2006 B2
7218764 Vaisberg et al. May 2007 B2
7297485 Bornarth et al. Nov 2007 B2
7332277 Dhallan Feb 2008 B2
7410764 Gocke et al. Aug 2008 B2
7414118 Mullah et al. Aug 2008 B1
7442506 Dhallan Dec 2008 B2
7459273 Jones et al. Dec 2008 B2
7645576 Lo et al. Jan 2010 B2
7655399 Cantor et al. Feb 2010 B2
7700325 Cantor et al. May 2010 B2
7718367 Lo et al. May 2010 B2
7718370 Dhallan Jun 2010 B2
7741463 Gormley et al. Jun 2010 B2
7785798 Cantor et al. Aug 2010 B2
7727720 Dhallan Sep 2010 B2
7790393 Lyamichev et al. Sep 2010 B2
7790418 Mayer Sep 2010 B2
7805282 Casey Nov 2010 B2
7838647 Hahn et al. Nov 2010 B2
7981609 Rubin et al. Jul 2011 B2
7888017 Quake Aug 2011 B2
8008018 Quake et al. Sep 2011 B2
8024128 Rabinowitz Sep 2011 B2
8133719 Drmanac et al. Mar 2012 B2
8137912 Kapur et al. May 2012 B2
8173370 Oeth et al. May 2012 B2
8168389 Shoemaker et al. Jun 2012 B2
8236503 Faham et al. Aug 2012 B2
8195415 Fan et al. Oct 2012 B2
8296076 Fan et al. Nov 2012 B2
8304187 Fernando Nov 2012 B2
8318430 Chuu et al. Nov 2012 B2
8318434 Cuppens et al. Nov 2012 B2
8323897 Andersen et al. Dec 2012 B2
8372584 Shoemaker et al. Feb 2013 B2
8389557 Singh et al. Mar 2013 B2
8389578 Went et al. Mar 2013 B2
8450063 Dube et al. May 2013 B2
8467976 Lo et al. Aug 2013 B2
8515679 Rabinowitz et al. Sep 2013 B2
8532930 Rabinowitz et al. Sep 2013 B2
8679741 Hoyal-Wrightson et al. Mar 2014 B2
8682592 Rabinowitz et al. Mar 2014 B2
8703652 Quake et al. Apr 2014 B2
8706422 Lo et al. Apr 2014 B2
8748103 Faham et al. Jun 2014 B2
8822153 Hayes et al. Sep 2014 B2
8825412 Rabinowitz et al. Sep 2014 B2
9005894 Ladner et al. Apr 2015 B2
9051602 Oliphant et al. Jun 2015 B2
9085798 Chee Jul 2015 B2
9206475 Gerdes et al. Dec 2015 B2
9228234 Rabinowitz et al. Jan 2016 B2
9323888 Rava et al. Apr 2016 B2
9404150 Lee et al. Aug 2016 B2
9424392 Rabinowitz et al. Aug 2016 B2
9453257 Hoyal-Wrightson et al. Sep 2016 B2
9476095 Vogelstein et al. Oct 2016 B2
9487829 Vogelstein et al. Nov 2016 B2
9493828 Rava et al. Nov 2016 B2
9506119 Faham et al. Nov 2016 B2
9598731 Talasaz Mar 2017 B2
9677118 Zimmermann et al. Jun 2017 B2
10017810 Iafrate et al. Jul 2018 B2
10041127 Talasaz Aug 2018 B2
10061890 Rabinowitz et al. Aug 2018 B2
10081839 Rabinowitz et al. Sep 2018 B2
10083273 Rabinowitz et al. Sep 2018 B2
10174369 Rabinowitz et al. Jan 2019 B2
10179937 Babiarz et al. Jan 2019 B2
10227652 Rabinowitz et al. Mar 2019 B2
10229244 Ghosh Mar 2019 B2
10240202 Rabinowitz et al. Mar 2019 B2
10260096 Rabinowitz et al. Apr 2019 B2
10266893 Rabinowitz et al. Apr 2019 B2
10308981 Sparks et al. Jun 2019 B2
10316362 Babiarz et al. Jun 2019 B2
10351906 Zimmermann et al. Jul 2019 B2
10392664 Rabinowitz et al. Aug 2019 B2
10450597 Iafrate et al. Oct 2019 B2
10522242 Rabinowitz et al. Dec 2019 B2
10526658 Babiarz et al. Jan 2020 B2
10538814 Babiarz et al. Jan 2020 B2
10557172 Babiarz et al. Feb 2020 B2
10597708 Zimmermann et al. Mar 2020 B2
10597709 Zimmermann et al. Mar 2020 B2
10597723 Babiarz et al. Mar 2020 B2
10655180 Babiarz et al. May 2020 B2
10711309 Rabinowitz et al. Jul 2020 B2
10731220 Babiarz et al. Aug 2020 B2
10774380 Ryan et al. Sep 2020 B2
10793912 Babiarz et al. Oct 2020 B2
10894976 Stray et al. Jan 2021 B2
11111543 Rabinowitz et al. Sep 2021 B2
11111544 Rabinowitz et al. Sep 2021 B2
11111545 Babiarz et al. Sep 2021 B2
11130995 Quake et al. Sep 2021 B2
20010051341 Lo et al. Dec 2001 A1
20010053519 Fodor et al. Dec 2001 A1
20020006622 Bradley et al. Jan 2002 A1
20020107640 Ideker et al. Aug 2002 A1
20020119478 Umansky et al. Aug 2002 A1
20020182622 Nakamura et al. Dec 2002 A1
20030009295 Markowitz et al. Jan 2003 A1
20030040620 Langmore et al. Feb 2003 A1
20030044388 Lo et al. Mar 2003 A1
20030065535 Karlov et al. Apr 2003 A1
20030077586 Pavlovic et al. Apr 2003 A1
20030087276 Kopreski et al. May 2003 A1
20030101000 Bader et al. May 2003 A1
20030119004 Wenz et al. Jun 2003 A1
20030138780 Gill et al. Jul 2003 A1
20030211489 Shen et al. Nov 2003 A1
20030228613 Bornarth et al. Dec 2003 A1
20030232348 Jones et al. Dec 2003 A1
20030232353 Kennedy et al. Dec 2003 A1
20030235848 Neville et al. Dec 2003 A1
20040009518 Lo et al. Jan 2004 A1
20040033596 Threadgill et al. Feb 2004 A1
20040067493 Matsuzaki et al. Apr 2004 A1
20040096874 Neville et al. May 2004 A1
20040115629 Panzer et al. Jun 2004 A1
20040126760 Broude Jul 2004 A1
20040137470 Dhallan et al. Jul 2004 A1
20040146866 Fu Jul 2004 A1
20040157243 Huang et al. Aug 2004 A1
20040185495 Schueler et al. Sep 2004 A1
20040197797 Inoko et al. Oct 2004 A1
20040209299 Pinter et al. Oct 2004 A1
20040229231 Frudakis et al. Nov 2004 A1
20040236518 Pavlovic et al. Nov 2004 A1
20040259100 Gunderson et al. Dec 2004 A1
20050009069 Liu et al. Jan 2005 A1
20050043894 Fernandez Feb 2005 A1
20050049793 Paterlini-brechot Mar 2005 A1
20050053950 Ubani et al. Mar 2005 A1
20050064476 Huang et al. Mar 2005 A1
20050079521 Beaulieu et al. Apr 2005 A1
20050079535 Kirchgesser et al. Apr 2005 A1
20050123914 Katz et al. Jun 2005 A1
20050130173 Leamon et al. Jun 2005 A1
20050142577 Jones et al. Jun 2005 A1
20050144664 Smith et al. Jun 2005 A1
20050164241 Hahn et al. Jul 2005 A1
20050164252 Yeung Jul 2005 A1
20050216207 Kermani Sep 2005 A1
20050221341 Shimkets et al. Oct 2005 A1
20050227263 Green et al. Oct 2005 A1
20050250111 Xie et al. Nov 2005 A1
20050255508 Casey et al. Nov 2005 A1
20050272073 Vaisberg et al. Dec 2005 A1
20050282185 Lo et al. Dec 2005 A1
20060019278 Lo et al. Jan 2006 A1
20060040300 Dapprich et al. Feb 2006 A1
20060046258 Lapidus et al. Mar 2006 A1
20060051799 Iwaki et al. Mar 2006 A1
20060052945 Rabinowitz et al. Mar 2006 A1
20060057618 Piper et al. Mar 2006 A1
20060068394 Langmore et al. Mar 2006 A1
20060088574 Manning et al. Apr 2006 A1
20060094010 Giles et al. May 2006 A1
20060099614 Gill et al. May 2006 A1
20060121452 Dhallan Jun 2006 A1
20060134662 Pratt et al. Jun 2006 A1
20060141499 Sher et al. Jun 2006 A1
20060229823 Liu Aug 2006 A1
20060210997 Myerson et al. Sep 2006 A1
20060216153 Wobben et al. Sep 2006 A1
20060216738 Wada et al. Sep 2006 A1
20060228721 Leamon et al. Oct 2006 A1
20060248031 Kates et al. Nov 2006 A1
20060281105 Li et al. Dec 2006 A1
20060292599 Ritz et al. Dec 2006 A1
20070020640 McCloskey et al. Jan 2007 A1
20070027636 Rabinowitz Feb 2007 A1
20070031857 Makarov et al. Feb 2007 A1
20070037166 Wohlgemuth et al. Feb 2007 A1
20070042384 Li et al. Feb 2007 A1
20070059700 Tao et al. Mar 2007 A1
20070059707 Cantor et al. Mar 2007 A1
20070122805 Cantor et al. May 2007 A1
20070128624 Gormley et al. Jun 2007 A1
20070134658 Bohmer et al. Jun 2007 A1
20070178478 Dhallan Aug 2007 A1
20070178501 Rabinowitz et al. Aug 2007 A1
20070184467 Rabinowitz et al. Aug 2007 A1
20070202525 Quake et al. Aug 2007 A1
20070202536 Yamanishi et al. Aug 2007 A1
20070207466 Cantor et al. Sep 2007 A1
20070212689 Bianchi et al. Sep 2007 A1
20070243549 Bischoff Oct 2007 A1
20070259351 Chinitz Nov 2007 A1
20080020390 Mitchell Jan 2008 A1
20080026390 Stoughton et al. Jan 2008 A1
20080038733 Bischoff et al. Feb 2008 A1
20080050739 Stoughton et al. Feb 2008 A1
20080070792 Stoughton Mar 2008 A1
20080071076 Hahn et al. Mar 2008 A1
20080085836 Kearns et al. Apr 2008 A1
20080090239 Shoemaker et al. Apr 2008 A1
20080096766 Lee Apr 2008 A1
20080102455 Poetter May 2008 A1
20080138809 Kapur et al. Jun 2008 A1
20080182244 Tafas et al. Jul 2008 A1
20080193927 Mann et al. Aug 2008 A1
20080220422 Shoemaker et al. Sep 2008 A1
20080234142 Lietz Sep 2008 A1
20080243398 Rabinowitz et al. Oct 2008 A1
20080280292 Wangh et al. Nov 2008 A1
20080286783 Hosono et al. Nov 2008 A1
20080299562 Oeth et al. Dec 2008 A1
20080305473 Chowdary et al. Dec 2008 A1
20090023190 Lao et al. Jan 2009 A1
20090029377 Lo et al. Jan 2009 A1
20090053719 Lo et al. Feb 2009 A1
20090087847 Lo et al. Apr 2009 A1
20090098534 Weier et al. Apr 2009 A1
20090099041 Church et al. Apr 2009 A1
20090143570 Jiang et al. Jun 2009 A1
20090176662 Rigatti et al. Jul 2009 A1
20090221620 Luke et al. Sep 2009 A1
20090263800 Wohlgemuth et al. Oct 2009 A1
20090280479 Hoon et al. Nov 2009 A1
20090317817 Oeth et al. Dec 2009 A1
20100035232 Ecker et al. Feb 2010 A1
20100041048 Diehl et al. Feb 2010 A1
20100086914 Bentley et al. Apr 2010 A1
20100105049 Ehrich et al. Apr 2010 A1
20100112575 Fan et al. May 2010 A1
20100112586 Stoughton et al. May 2010 A1
20100112590 Lo et al. May 2010 A1
20100120038 Mir et al. May 2010 A1
20100124751 Quake et al. May 2010 A1
20100129792 Makrigiorgos et al. May 2010 A1
20100129874 Mitra et al. May 2010 A1
20100138165 Fan et al. Jun 2010 A1
20100171954 Quake et al. Jul 2010 A1
20100173394 Colston et al. Jul 2010 A1
20100184043 Mitchell et al. Jul 2010 A1
20100184069 Fernando et al. Jul 2010 A1
20100184152 Sandler Jul 2010 A1
20100196892 Quake et al. Aug 2010 A1
20100203538 Dube et al. Aug 2010 A1
20100216151 Lapdus et al. Aug 2010 A1
20100216153 Lapidus et al. Aug 2010 A1
20100248231 Wei et al. Sep 2010 A1
20100255492 Quake et al. Oct 2010 A1
20100256013 Quake et al. Oct 2010 A1
20100273159 Melo Oct 2010 A1
20100273219 May et al. Oct 2010 A1
20100273678 Alexandre et al. Oct 2010 A1
20100285478 Chen et al. Nov 2010 A1
20100285537 Zimmermann Nov 2010 A1
20100291572 Stoughton et al. Nov 2010 A1
20100291635 Peleg Nov 2010 A1
20100323352 Lo et al. Dec 2010 A1
20110015096 Chiu Jan 2011 A1
20110033862 Rabinowitz et al. Feb 2011 A1
20110039724 Lo et al. Feb 2011 A1
20110045462 Fu et al. Feb 2011 A1
20110064824 Lascoste et al. Mar 2011 A1
20110071031 Khripin et al. Mar 2011 A1
20110086769 Oliphant et al. Apr 2011 A1
20110092763 Rabinowitz et al. Apr 2011 A1
20110105353 Lo et al. May 2011 A1
20110130558 Ritt et al. Jun 2011 A1
20110151442 Fan et al. Jun 2011 A1
20110159499 Hindson et al. Jun 2011 A1
20110160078 Fodor et al. Jun 2011 A1
20110178719 Rabinowitz et al. Jul 2011 A1
20110201507 Rava et al. Aug 2011 A1
20110212446 Wang et al. Sep 2011 A1
20110212846 Spier Sep 2011 A1
20110224087 Quake et al. Sep 2011 A1
20110246083 Fan et al. Oct 2011 A1
20110251149 Perrine et al. Oct 2011 A1
20110288780 Rabinowitz et al. Nov 2011 A1
20110294699 Lee et al. Dec 2011 A1
20110300608 Ryan et al. Dec 2011 A1
20110301854 Curry et al. Dec 2011 A1
20110312503 Chuu et al. Dec 2011 A1
20110318734 Lo et al. Dec 2011 A1
20120003635 Lo et al. Jan 2012 A1
20120003637 Lo et al. Jan 2012 A1
20120010085 Rava et al. Jan 2012 A1
20120034603 Oliphant et al. Feb 2012 A1
20120034685 Sparks et al. Feb 2012 A1
20120108460 Quake et al. May 2012 A1
20120122701 Ryan et al. May 2012 A1
20120165203 Quake et al. Jun 2012 A1
20120185176 Rabinowitz et al. Jul 2012 A1
20120190020 Oliphant et al. Jul 2012 A1
20120190021 Oliphant et al. Jul 2012 A1
20120190557 Oliphant et al. Jul 2012 A1
20120191358 Oliphant et al. Jul 2012 A1
20120196754 Quake et al. Aug 2012 A1
20120208706 Downing et al. Aug 2012 A1
20120214678 Rava et al. Aug 2012 A1
20120264121 Rava et al. Oct 2012 A1
20120264618 Nygren Oct 2012 A1
20120270212 Rabinowitz et al. Oct 2012 A1
20120270739 Rava et al. Oct 2012 A1
20120295810 Quake et al. Nov 2012 A1
20120295819 Leamon et al. Nov 2012 A1
20130017549 Hong Jan 2013 A1
20130022973 Hansen et al. Jan 2013 A1
20130024127 Stuelpnagel Jan 2013 A1
20130034546 Rava et al. Feb 2013 A1
20130040375 Sparks et al. Feb 2013 A1
20130060483 Struble et al. Mar 2013 A1
20130069869 Akao et al. Mar 2013 A1
20130085681 Deciu et al. Apr 2013 A1
20130090250 Sparks et al. Apr 2013 A1
20130116130 Fu et al. May 2013 A1
20130123120 Zimmermann et al. May 2013 A1
20130130923 Ehrich et al. May 2013 A1
20130172211 Oliphant et al. Jul 2013 A1
20130178373 Rabinowitz et al. Jul 2013 A1
20130190653 Alvarez Ramos Jul 2013 A1
20130196862 Rabinowitz et al. Aug 2013 A1
20130210644 Stoughton et al. Aug 2013 A1
20130225422 Rabinowitz et al. Aug 2013 A1
20130252824 Rabinowitz Sep 2013 A1
20130253369 Rabinowitz et al. Sep 2013 A1
20130261004 Ryan et al. Oct 2013 A1
20130274116 Rabinowitz et al. Oct 2013 A1
20130303461 Iafrate et al. Nov 2013 A1
20130323731 Lo et al. Dec 2013 A1
20130325360 Deciu et al. Dec 2013 A1
20140032128 Rabinowitz et al. Jan 2014 A1
20140038830 Srinivasan et al. Feb 2014 A1
20140051585 Prosen et al. Feb 2014 A1
20140065621 Mhatre et al. Mar 2014 A1
20140066317 Talasaz Mar 2014 A1
20140087385 Rabinowitz et al. Mar 2014 A1
20140094373 Zimmermann et al. Apr 2014 A1
20140100126 Rabinowitz Apr 2014 A1
20140100134 Rabinowitz et al. Apr 2014 A1
20140106975 Stoughton et al. Apr 2014 A1
20140141981 Zimmermann et al. May 2014 A1
20140154682 Rabinowitz et al. Jun 2014 A1
20140155274 Xie et al. Jun 2014 A1
20140162269 Rabinowitz Jun 2014 A1
20140193816 Rabinowitz et al. Jul 2014 A1
20140206552 Rabinowitz et al. Jul 2014 A1
20140227705 Vogelstein et al. Aug 2014 A1
20140256558 Varley et al. Sep 2014 A1
20140256569 Rabinowitz et al. Sep 2014 A1
20140272956 Huang et al. Sep 2014 A1
20140274740 Srinivasan et al. Sep 2014 A1
20140287934 Szelinger et al. Sep 2014 A1
20140296081 Diehn et al. Oct 2014 A1
20140329245 Spier et al. Nov 2014 A1
20140336060 Rabinowitz Nov 2014 A1
20150051087 Rabinowitz et al. Feb 2015 A1
20150064695 Katz et al. Mar 2015 A1
20150086477 Mitchell et al. Mar 2015 A1
20150087535 Patel Mar 2015 A1
20150099673 Fodor Apr 2015 A1
20150147815 Babiarz et al. May 2015 A1
20150197786 Osborne et al. Jul 2015 A1
20150211050 Iafrate et al. Jul 2015 A1
20150232938 Mhatre Aug 2015 A1
20150265995 Head et al. Sep 2015 A1
20150299812 Talasaz Oct 2015 A1
20150315657 Rhodes et al. Nov 2015 A1
20150322507 Zimmermann et al. Nov 2015 A1
20150329891 Tan et al. Nov 2015 A1
20160032396 Diehn et al. Feb 2016 A1
20160046986 Eltoukhy et al. Feb 2016 A1
20160115541 Schutz et al. Apr 2016 A1
20160145682 Woodward et al. May 2016 A1
20160186239 Sinha Jun 2016 A1
20160186253 Talasaz et al. Jun 2016 A1
20160201124 Donahue et al. Jul 2016 A1
20160239602 Shendure Aug 2016 A1
20160244838 Babiarz et al. Aug 2016 A1
20160257993 Fu et al. Sep 2016 A1
20160265042 Schroeder et al. Sep 2016 A1
20160289740 Fu et al. Oct 2016 A1
20160289753 Osborne et al. Oct 2016 A1
20160312276 Fu et al. Oct 2016 A1
20160319345 Gnerre et al. Nov 2016 A1
20160369333 Babiarz et al. Dec 2016 A1
20170011166 Rabinowitz et al. Jan 2017 A1
20170107576 Babiarz et al. Apr 2017 A1
20170114411 Mitchell et al. Apr 2017 A1
20170121716 Rodi et al. May 2017 A1
20170152561 Hamamah et al. Jun 2017 A1
20170218458 Fan et al. Aug 2017 A1
20170275689 Maguire et al. Sep 2017 A1
20170283788 Khoja et al. Oct 2017 A1
20170314014 Green Nov 2017 A1
20170342477 Jensen et al. Nov 2017 A1
20170362649 Lieberman-Aiden Dec 2017 A1
20180023128 Yanai et al. Jan 2018 A1
20180025109 Rabinowitz et al. Feb 2018 A1
20180127744 Hu et al. May 2018 A1
20180148777 Kirkizlar et al. May 2018 A1
20180155775 Zimmermann et al. Jun 2018 A1
20180155776 Zimmermann et al. Jun 2018 A1
20180155779 Zimmermann et al. Jun 2018 A1
20180155785 Rabinowitz et al. Jun 2018 A1
20180155786 Rabinowitz et al. Jun 2018 A1
20180155792 Rabinowitz et al. Jun 2018 A1
20180171409 Rabinowitz et al. Jun 2018 A1
20180171420 Babiarz et al. Jun 2018 A1
20180173845 Sigurjonsson et al. Jun 2018 A1
20180173846 Sigurjonsson et al. Jun 2018 A1
20180187241 Selvaraj Jul 2018 A1
20180201995 Rabinowitz et al. Jul 2018 A1
20180237841 Stray et al. Aug 2018 A1
20180251553 Mcgranahan et al. Sep 2018 A1
20180265917 Barany et al. Sep 2018 A1
20180288982 Sinha Oct 2018 A1
20180298439 Ryan et al. Oct 2018 A1
20180300448 Rabinowitz et al. Oct 2018 A1
20190010543 Babiarz et al. Jan 2019 A1
20190106737 Underhill Apr 2019 A1
20190106751 Zimmermann et al. Apr 2019 A1
20190185913 Zimmermann et al. Jun 2019 A1
20190185936 Babiarz et al. Jun 2019 A1
20190194743 Ryan et al. Jun 2019 A1
20190194758 Babiarz et al. Jun 2019 A1
20190194759 Babiarz et al. Jun 2019 A1
20190203290 Rabinowitz et al. Jul 2019 A1
20190203294 Babiarz et al. Jul 2019 A1
20190211391 Rabinowitz et al. Jul 2019 A1
20190211392 Rabinowitz et al. Jul 2019 A1
20190211393 Rabinowitz et al. Jul 2019 A1
20190211399 Rabinowitz et al. Jul 2019 A1
20190211402 Babiarz et al. Jul 2019 A1
20190211406 Babiarz et al. Jul 2019 A1
20190249241 Rabinowitz et al. Aug 2019 A1
20190256894 Zimmermann et al. Aug 2019 A1
20190256906 Rabinowitz et al. Aug 2019 A1
20190256907 Ryan et al. Aug 2019 A1
20190256908 Rabinowitz et al. Aug 2019 A1
20190256909 Rabinowitz et al. Aug 2019 A1
20190256912 Rabinowitz et al. Aug 2019 A1
20190256916 Babiarz et al. Aug 2019 A1
20190256917 Babiarz et al. Aug 2019 A1
20190256919 Babiarz et al. Aug 2019 A1
20190256924 Vogelstein et al. Aug 2019 A1
20190256931 Babiarz et al. Aug 2019 A1
20190264277 Rabinowitz et al. Aug 2019 A1
20190264280 Rabinowitz et al. Aug 2019 A1
20190264288 Rabinowitz et al. Aug 2019 A1
20190271043 Babiarz et al. Sep 2019 A1
20190276888 Rabinowitz et al. Sep 2019 A1
20190284623 Rabinowitz et al. Sep 2019 A1
20190300950 Rabinowitz et al. Oct 2019 A1
20190309358 Rabinowitz et al. Oct 2019 A1
20190309359 Zimmermann et al. Oct 2019 A1
20190309365 Babiarz et al. Oct 2019 A1
20190316177 Zimmermann et al. Oct 2019 A1
20190316184 Zimmermann et al. Oct 2019 A1
20190316200 Rabinowitz et al. Oct 2019 A1
20190323076 Rabinowitz et al. Oct 2019 A1
20190360036 Rabinowitz et al. Nov 2019 A1
20200032323 Talasaz et al. Jan 2020 A1
20200109449 Stamm et al. Apr 2020 A1
20200123612 Babiarz et al. Apr 2020 A1
20200126634 Sigurjonsson et al. Apr 2020 A1
20200140950 Babiarz et al. May 2020 A1
20200149111 Babiarz et al. May 2020 A1
20200157629 Babiarz et al. May 2020 A1
20200172977 Rabinowitz et al. Jun 2020 A1
20200181697 Rabinowitz et al. Jun 2020 A1
20200190570 Ryan et al. Jun 2020 A1
20200190573 Rabinowitz et al. Jun 2020 A1
20200190591 Rabinowitz et al. Jun 2020 A1
20200208196 Zimmermann et al. Jul 2020 A1
20200208221 Babiarz et al. Jul 2020 A1
20200224273 Rabinowitz et al. Jul 2020 A1
20200232036 Rabinowitz et al. Jul 2020 A1
20200232037 Babiarz et al. Jul 2020 A1
20200248264 Rabinowitz et al. Aug 2020 A1
20200248266 Swanton et al. Aug 2020 A1
20200316498 Mitchell Oct 2020 A1
20200318191 Babiarz et al. Oct 2020 A1
20200347454 Babiarz et al. Nov 2020 A1
20200350034 Rabinowitz et al. Nov 2020 A1
20200362415 Rabinowitz et al. Nov 2020 A1
20200407788 Ryan et al. Dec 2020 A1
20200407798 Babiarz et al. Dec 2020 A1
20210009990 Stray et al. Jan 2021 A1
20210025005 Babiarz et al. Jan 2021 A1
20210054459 Rabinowitz et al. Feb 2021 A1
20210071246 Zimmermann et al. Mar 2021 A1
20210139969 Mitchell et al. May 2021 A1
20210139983 Mitchell et al. May 2021 A1
20210139988 Mitchell et al. May 2021 A1
20210155988 Rabinowitz et al. May 2021 A1
20210189498 Babiarz et al. Jun 2021 A1
20210198733 Moshkevich et al. Jul 2021 A1
20210198742 Rabinowitz et al. Jul 2021 A1
20210198743 Rabinowitz et al. Jul 2021 A1
20210222230 Zimmermann et al. Jul 2021 A1
20210222240 Moshkevich et al. Jul 2021 A1
20210257048 Zimmermann et al. Aug 2021 A1
20210269879 Mitchell et al. Sep 2021 A1
20210324463 Rabinowitz et al. Oct 2021 A1
20210327538 Egilsson et al. Oct 2021 A1
20210327542 Ryan et al. Oct 2021 A1
20210355536 Rabinowitz et al. Nov 2021 A1
20220025455 Zimmermann et al. Jan 2022 A1
20220025456 Rabinowitz et al. Jan 2022 A1
20220033908 Rabinowitz et al. Feb 2022 A1
20220033909 Babiarz et al. Feb 2022 A1
20220042103 Rabinowitz et al. Feb 2022 A1
20220056509 Zimmermann Feb 2022 A1
20220056534 Rivers Feb 2022 A1
20220073978 Rabinowitz et al. Mar 2022 A1
20220073979 Rabinowitz et al. Mar 2022 A1
20220098667 Rabinowitz et al. Mar 2022 A1
Foreign Referenced Citations (246)
Number Date Country
1650032 Aug 2005 CN
1674028 Sep 2005 CN
101675169 Mar 2010 CN
104736722 Jun 2015 CN
105229175 Jan 2016 CN
0270017 Jun 1988 EP
1325963 Jul 2003 EP
1524321 Apr 2005 EP
1325963 Sep 2006 EP
1524321 Jul 2009 EP
2163622 Mar 2010 EP
2128169 Dec 2010 EP
2653562 Oct 2013 EP
2902500 Aug 2015 EP
3026124 Jun 2016 EP
2315849 Nov 2017 EP
3285193 Feb 2018 EP
2877594 Dec 2019 EP
3187597 Jun 2020 EP
3134541 Aug 2020 EP
3760730 Jan 2021 EP
3760731 Jan 2021 EP
3760732 Jan 2021 EP
3824470 May 2021 EP
3443119 Feb 2022 EP
2488358 Aug 2012 GB
2965699 Aug 1999 JP
2002-530121 Sep 2002 JP
2002-300894 Oct 2002 JP
2003521252 Jul 2003 JP
2004502466 Jan 2004 JP
2004533243 Nov 2004 JP
2005514956 May 2005 JP
2005160470 Jun 2005 JP
2006-254912 Sep 2006 JP
2008-263974 Nov 2008 JP
2008271980 Nov 2008 JP
2010-509922 Apr 2010 JP
2011508662 Mar 2011 JP
2011516069 May 2011 JP
2015-535681 Dec 2015 JP
2290078 Dec 2006 RU
9501796 Jan 1995 WO
1996036736 Nov 1996 WO
9839474 Sep 1998 WO
9844151 Oct 1998 WO
0018957 Apr 2000 WO
2001007640 Feb 2001 WO
0134844 May 2001 WO
0157269 Aug 2001 WO
179851 Oct 2001 WO
200190419 Nov 2001 WO
2002004672 Jan 2002 WO
0244411 Jun 2002 WO
2002055985 Jul 2002 WO
02070751 Sep 2002 WO
2002076377 Oct 2002 WO
02090505 Nov 2002 WO
03000919 Jan 2003 WO
03018757 Mar 2003 WO
03020974 Mar 2003 WO
2003031646 Apr 2003 WO
3050532 Jun 2003 WO
2003062441 Jul 2003 WO
0190419 Nov 2003 WO
3102595 Dec 2003 WO
3106623 Dec 2003 WO
2004051218 Jun 2004 WO
2004069849 Aug 2004 WO
2004070005 Aug 2004 WO
2004070007 Aug 2004 WO
2004087863 Oct 2004 WO
2005003375 Jan 2005 WO
2005021793 Mar 2005 WO
2005023091 Mar 2005 WO
2005030999 Apr 2005 WO
2005035725 Apr 2005 WO
2005039389 May 2005 WO
2005100401 Oct 2005 WO
2005123779 Dec 2005 WO
2007145612 Jun 2006 WO
2006110855 Oct 2006 WO
2006128192 Nov 2006 WO
2007011903 Jan 2007 WO
2007052006 May 2007 WO
2007057647 May 2007 WO
2007062164 May 2007 WO
2007073171 Jun 2007 WO
2007070280 Jun 2007 WO
2007070482 Jun 2007 WO
2007075836 Jul 2007 WO
2007092473 Aug 2007 WO
2007086935 Aug 2007 WO
2007117256 Oct 2007 WO
2007117039 Oct 2007 WO
2007132167 Nov 2007 WO
2007147073 Dec 2007 WO
2007147076 Dec 2007 WO
2007140417 Dec 2007 WO
2007147074 Dec 2007 WO
2007147079 Dec 2007 WO
2008024473 Feb 2008 WO
2008048931 Apr 2008 WO
2008061213 May 2008 WO
2008051928 May 2008 WO
2008056937 May 2008 WO
2008059578 May 2008 WO
2008079374 Jul 2008 WO
2008081451 Jul 2008 WO
2008084405 Jul 2008 WO
2008115427 Sep 2008 WO
2008115497 Sep 2008 WO
2008118988 Oct 2008 WO
2008135837 Nov 2008 WO
2008157264 Dec 2008 WO
2009009769 Jan 2009 WO
2009013492 Jan 2009 WO
2009013496 Jan 2009 WO
2009019215 Feb 2009 WO
2009019455 Feb 2009 WO
2009032779 Mar 2009 WO
2009036525 Mar 2009 WO
2009030100 Mar 2009 WO
2009032781 Mar 2009 WO
2009033178 Mar 2009 WO
2009049889 Apr 2009 WO
2009017784 May 2009 WO
2009064897 May 2009 WO
2009091934 Jul 2009 WO
2009092035 Jul 2009 WO
2009105531 Aug 2009 WO
2009099602 Aug 2009 WO
2009100029 Aug 2009 WO
2009105531 Aug 2009 WO
2009117122 Sep 2009 WO
2009120808 Oct 2009 WO
2009145828 Dec 2009 WO
2009146335 Dec 2009 WO
2010014920 Feb 2010 WO
2010017214 Feb 2010 WO
2010033639 Mar 2010 WO
2010033652 Mar 2010 WO
2010033578 Mar 2010 WO
2010042831 Apr 2010 WO
2010045617 Apr 2010 WO
2010075459 Jul 2010 WO
2010088288 Aug 2010 WO
2010115016 Oct 2010 WO
2010115154 Oct 2010 WO
2010118016 Oct 2010 WO
2010127186 Nov 2010 WO
2011023078 Mar 2011 WO
2011032078 Mar 2011 WO
2011041485 Apr 2011 WO
2011051283 May 2011 WO
2011057061 May 2011 WO
2011057094 May 2011 WO
2011090556 Jul 2011 WO
2011087760 Jul 2011 WO
2011102998 Aug 2011 WO
2011109440 Sep 2011 WO
2011140433 Nov 2011 WO
2011146632 Nov 2011 WO
2012019200 Feb 2012 WO
2012028746 Mar 2012 WO
2012042374 Apr 2012 WO
2012058488 May 2012 WO
201283250 Jun 2012 WO
2012088456 Jun 2012 WO
20120071621 Jun 2012 WO
2012108920 Aug 2012 WO
2012142531 Oct 2012 WO
2007149791 Dec 2012 WO
2013030577 Mar 2013 WO
2013045432 Apr 2013 WO
2013049892 Apr 2013 WO
2013052557 Apr 2013 WO
2013078470 May 2013 WO
WO-2013078470 May 2013 WO
2013086464 Jun 2013 WO
2013123220 Aug 2013 WO
2013138510 Sep 2013 WO
2013138510 Sep 2013 WO
20130130848 Sep 2013 WO
2013159035 Oct 2013 WO
2013169339 Nov 2013 WO
2013177220 Nov 2013 WO
2013181651 Dec 2013 WO
2014004726 Jan 2014 WO
2014014497 Jan 2014 WO
20140018080 Jan 2014 WO
2014035986 Mar 2014 WO
2014122288 Aug 2014 WO
2014145078 Sep 2014 WO
2014145232 Sep 2014 WO
2014149134 Sep 2014 WO
2014150300 Sep 2014 WO
2014151117 Sep 2014 WO
2014194113 Dec 2014 WO
2015134552 Mar 2015 WO
2015048535 Apr 2015 WO
2015070086 May 2015 WO
2015100427 Jul 2015 WO
2015148494 Oct 2015 WO
2015164432 Oct 2015 WO
2016009059 Jan 2016 WO
2016009224 Jan 2016 WO
2016063122 Apr 2016 WO
2016065295 Apr 2016 WO
2016077313 May 2016 WO
2016123698 Aug 2016 WO
2016138080 Sep 2016 WO
2016176662 Nov 2016 WO
2016183106 Nov 2016 WO
2016193490 Dec 2016 WO
2017058784 Apr 2017 WO
2017181146 Oct 2017 WO
2017181202 Oct 2017 WO
2017190106 Nov 2017 WO
2017205540 Nov 2017 WO
2018009723 Jan 2018 WO
2018083467 May 2018 WO
2018085603 May 2018 WO
2018106798 Jun 2018 WO
2018136562 Jul 2018 WO
2018156418 Aug 2018 WO
2018237081 Dec 2018 WO
2019046817 Mar 2019 WO
2019118926 Jun 2019 WO
2019140298 Jul 2019 WO
2019161244 Aug 2019 WO
2019200228 Oct 2019 WO
2019241349 Dec 2019 WO
2020010255 Jan 2020 WO
2020018522 Jan 2020 WO
2020041449 Feb 2020 WO
2020076957 Apr 2020 WO
2020106987 May 2020 WO
2020104670 May 2020 WO
2020131699 Jun 2020 WO
2020214547 Oct 2020 WO
2020247263 Dec 2020 WO
2021055968 Mar 2021 WO
2007100911 Sep 2021 WO
2021243045 Dec 2021 WO
2022015676 Jan 2022 WO
Non-Patent Literature Citations (1017)
Entry
US 8,501,409 B2, 08/2013, Simen et al. (withdrawn)
La Joie et al, The Hitchhiker's Guide to Hi-C Analysis: Practical guidelines, Methods. Jan. 2015; 72: 65-75. Published online Nov. 6, 2014. doi: 10.1016/j.ymeth.2014.10.031.
Gholami, M. et al., “A tailed PCR procedure for cost-effective, two-order multiplex sequencing of candidate genes in polyploid plants”, Plant Biotechnology Journal, vol. 10, 2012, 635-645.
Gundry, C. N. et al., “Base-pair neutral homozygotes can be discriminated by calibrated high-resolution melting of small amplicons”, Nucleic Acids Research, vol. 36, No. 10, Apr. 29, 2008, 3401-3408.
He, QZ et al., “A method for improving the accuracy of non-invasive prenatal screening by cell-free foetal DNA size selection”, British Journal of Biomedical science, vol. 75, No. 3, Jul. 2018, 133-138.
Sanchez, C. et al., “New insights into structural features and optimal detection of circulating tumor DNA determined by single-strand DNA analysis”, Nature Partner Journals, vol. 3, No. 31, Nov. 23, 2018, 12 pgs.
Vallone, P. M. et al., “A multiplex allele-specific primer extension assay for forensically informative SNPs distributed throughout the mitochondrial genome”, Int J Legal Medicine, vol. 118, Feb. 4, 2004, 147-157.
Van Den Oever, J. M. et al., “Single Molecule Sequencing of Free DNA from Maternal Plasma for Noninvasive Trisomy 21 Detection”, Clinical Chemistry, vol. 58, No. 4, 2012, 699-706.
Wittwer, C. T. et al., “Real-Time Multiplex PCR Assays”, Methods, vol. 25, 2001, 430-448.
Zhang, J. et al., “Presence of Donor-and Recipient-derived DNA in Cell-free Urine Samples of Renal Transplantation Recipients: Urinary DNA Chimerism”, Clinical Chemistry, vol. 45, No. 10, 1999, 1741-1746.
“Blast of AAAAAAAAATTTAAAAAAAAATTT(http //blast.ncbi.nlm.nih.gov/Blast.cgi, downloaded May 4, 2015)”.
“CompetitivePCR Guide,”, TaKaRa Biomedicals, Lit. # L0126 Rev. Aug. 1999, 9 pgs.
“db SNP rs2056688 (http://www.ncbi.nlm.nih.gov/projects/SNP/snp_ref.cgi?rs=2056688, downloaded May 4, 2015”.
“Declaration by Dr. Zimmerman of Oct. 30, 2014 filed in U.S. Appl. No. 14/044,434”.
“European Application No. 014198110, European Search Report dated Apr. 28, 2015, 3 pages.”
“Finishing the Euchromatic Sequence of the Human Genome”, Nature vol. 431,(Oct. 21, 2004),931-945.
“FixedMedium, dictionary definition, Academic Press Dictionary of Science andTechnology”, Retrieved from the Internet: <URL:www.credoreference.com/entry/apdst/fixed_medium>, 1996, 1 pg.
“GeneticsHome Reference”, http://ghr.nlm.nih.gov/handbook/genomicresearch/snp, Feb. 28, 2014, 1-2.
“Ion Ampli Seq Comprehensive Cancer Panel, product brochure, Life TechnologiesCorporation. Retrieved from the Internet”, <URL:https://tools.lifetechnologies.com/content/sfs/brochures/Ion_CompCancerPanel_Flyer.pdf>, 2012, 2 pgs.
“IonAmpliSeq Designer Provides Full Flexibility to Sequence Genes of Your Choice,product brochure, Life Technologies Corporation”, Retrieved from the Internet<URL: http://tools.lifetechnologies.com/content/sfs/brochures/IonAmpliSeq_CustomPanels_AppNote_CO1.
“Merriam-Webster.com (http://www.merriam-webster.com/dictionary/universal, downloaded Jul. 23, 2014)”.
“Multiplexing with RainDrop Digital PCR”, RainDance Technologies, Application Note, 2013, 1-2.
“NucleicAcids, Linkers and Primers: Random Primers”, New England BioLabs 1998/99Catalog, 1998, 121 and 284.
“PRIMER3, information sheet, Sourceforge.net. [retrieved on Nov. 12, 2012], Retrieved from the Internet: <URL: http://primer3.sourceforge.net/>”, 2009, 1 pg.
“www.fatsecret.com” (printed from internet Nov. 1, 2014).
PRNewswire (Research Suggests Daily Consumption of Orange Juice Can Reduce Blood Pressure and May Provide Beneficial Effects to Blood Vessel Function: New Study Identified Health Benefits in Orange Juice, Dec. 8, 2010).
The Bump (Panorama Test, attached, Jul. 1, 2013).
What to Expect (Weird Harmony results, attached, May 1, 2015).
Wikipedia (attached, available at https://en.wikipedia.org/wiki/Stimulant, accessed Mar. 14, 2016).
“Guideline related to genetic examination”, Societies Related to Genetic Medicine, Japanese Society for Genetic Counseling, Japanese Society for Gene Diagnosis and Therapy, Japan Society of Obstetrics and Gynecology, 2003, 2-15.
“How Many Carbs in a Potato?, [Online]”, Retrieved from the Internet: <http://www.newhealthguide.org/How-Many-Carbs-In-A-Potato.html>, Nov. 1, 2014, 3 pages.
“Random variable”, In the Penguin Dictionary of Mathematics. Retrieved from http://www.credoreference.com/entry/penguinmath/random _ variable, 2008, 1 page.
Abbosh, C. et al., “Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution”, Nature, vol. 545, May 25, 2017, 446-451.
Abidi, S. et al., “Leveraging XML-based electronic medical records to extract experiential clinical knowledge: An automated approach to generate cases for medical case-based reasoning systems”, International Journal of Medical Informatics, 68(1-3), 2002, 187-203.
Agarwal, Ashwin, et al., “Commercial Landscape of Noninvasive Prenatal Testing in the United States”, Prenatal Diagnosis,33, 2013, 521-531.
Alaeddini, R. et al., “Forensic implications of genetic analyses from degraded DNA—A review”, Forensic Science International: Genetics, vol. 4, 2010, 148-157.
Alberts, B. et al., “Chapter 20: Germ Cells and Fertilization”, Molecular Biology of the Cell, Fourth Edition, 2002, 1127-1156.
Alberts, B. et al., “Chapter 4: DNA and Chromosomes”, Molecular Biology of the Cell, Fourth Edition, 2002, 191-234.
Alkan, Can et al., “Personalized Copy Number and Segmental Duplication Maps Using Next-Generation Sequencing”, Nature Genetics, 41, 10, 2009, 1061-1068.
Allaire, F R. , “Mate selection by selection index theory”, Theoretical Applied Genetics, 57(6), 1980, 267-272.
Allawi, Hatim T. et al., “Thermodynamics of internal C⋅T Mismatches in DNA”, Nucleic Acids Research, 26 (11), 1998, 2694-2701.
Anker, P. et al., “Detection of circulating tumour DNA in the blood (plasma/serum) of cancer patients”, Cancer and Metastasis Reviews, vol. 18, 1999, 65-73.
Antonarakis, S. E. et al., “Chromosome 21 and Down Syndrome: From Genomics to Pathophysiology”, Nature Reviews Genetics, vol. 5, Oct. 2004, 725-738.
Aoki, Yasuhiro , “Statistical and Probabilistic Bases of Forensic DNA Testing”, The Journal of the Iwate Medical Association, 2002, vol. 54, p. 81-94.
Ashoor, G. et al., “Fetal fraction in maternal plasma cell-free DNA at 11-13 weeks' gestation: relation to maternal and fetal characteristics”, Ultrasound in Obstetrics and Gynecology, vol. 41, 2013, 26-32.
Ashoor, Ghalia et al., “Chromosome-Selective Sequencing of Maternal Plasma Cell-Free DNA for First-Trimester Detection of Trisomy 21 and Trisomy 18”, American Journal of Obstetrics & Gynecology, 206, 2012, 322.e1-322.e5.
Ashoor, Ghalia et al., “Fetal Fraction in Maternal Plasma Cell-Free DNA at 11-13 Weeks' Gestation: Effect of Maternal and Fetal Factors”, Fetal Diagnosis Therapy, 2012, 1-7.
Bada, Michael A. et al., “Computational Modeling of Structural Experimental Data”, Methods in Enzymology,317, 2000, 470-491.
Ballif, B. C. et al., “Detection of Low-Level Mosaicism by Array CGH in Routine Diagnostic Specimens”, American Journal of Medical Genetics Part A, vol. 140A, 2006, 2757-2767.
Beaumont, Mark A et al., “The Bayesian Revolution in Genetics”, Nature Reviews Genetics, 5, 2004, 251-261.
Beer, Alan E. et al., “The Biological Basis of Passage of Fetal Cellular Material into the Maternal Circulation”, Annals New York Academy of Sciences, 731, 1994, 21-35.
Beerenwinkel, et al., “Methods for Optimizing Antiviral Combination Therapies”, Bioinformatics, 19(1), 2003, i16-i25.
Beerenwinkel, N. et al., “Geno2pheno: estimating phenotypic drug resistance from HIV-1 genotypes”, Nucleic Acids Research, 31(13), 2003, 3850-3855.
Benn, P. et al., “Non-Invasive Prenatal Testing for Aneuploidy: Current Status and Future Prospects”, Ultrasound Obstet Gynecol, 42, 2013, 15-33.
Benn, P et al., “Non-Invasive prenatal Diagnosis for Down Syndrome: the Paradigm Will Shift, but Slowly”, Ultrasound Obstet. Gynecol., 39, 2012, 127-130.
Bentley, David R et al., “Accurate Whole Human Genome Sequencing Using Reversible Terminator Chemistry”, Nature, 456, 6, 2008, 53-59.
Bermudez, M. et al., “Single-cell sequencing and mini-sequencing for preimplantation genetic diagnosis”, Prenatal Diagnosis, 23, 2003, 669-677.
Beroud, C. et al., “Prenatal diagnosis of spinal muscular atrophy by genetic analysis of circulating fetal cells”, The Lancet, vol. 361, Mar. 22, 2003, 1013-1014.
Bevinetto, Gina , Bevinetto (5 Foods All Pregnant Women Need, American Baby, available at http://www.parents.com/pregnancy/mybody/nutrition/5greatpregnancyfoods/, Apr. 15, 2008).
Bianchi, D W. et al., “Fetal gender and aneuploidy detection using fetal cells maternal blood: analysis of NIFTY I data”, Prenat Diagn 2002; 22, 2002, 609-615.
Bianchi, D. W. , “Circulating Fetal DNA: Its Origin and Diagnostic Potential—A Review”, Placenta, vol. 25, Supplemental A, May 2004, S93-S101.
Bianchi, D. W. et al., “Genome-Wide Fetal Aneuploidy Detection by Maternal Plasma DNA Sequencing”, Obstetrics & Gynecology, vol. 119, No. 5, May 2012, 890-901.
Bianchi, D. W. , “Review: Fetal Cells in the Maternal Circulation: Feasibility for Prenatal Diagnosis”, British Journal of Haematology, vol. 105, 1999, 574-583.
Birch, Lyndsey et al., “Accurate and Robust Quantification of Circulating Fetal and Total DNA in Maternal Plasma from 5 to 41 Weeks of Gestation”, Clinical Chemistry, 51(2), 2005, 312-320.
Birkenkamp-Demtroder, K. et al., “Abstract 3653: Sequencing of plasma cfDNA from patients with locally advanced bladder cancer for surveillance and therapeutic efficacy monitoring”, Cancer Research, vol. 78, No. 13 Supplement, Jul. 2019, 1 page.
Bisignano, et al., “PGD and Aneuploidy Screening for 24 Chromosomes: Advantages and Disadvantages of Competing Platforms”, Reproductive BioMedicine Online, 23, 2011, 677-685.
Bodenreider, O. , “The Unified Medical Language System (UMLS): Integrating Biomedical Terminology”, Nucleic Acids Research, 32, (Database issue), 2004, D267-D270.
Breithaupt, Holger , “The Future of Medicine”, EMBO Reports, 21(61), 2001, 465-467.
Brownie, Jannine et al., “The Elimination of Primer-Dimer Accumulation in PCR”, Nucleic Acids Research, 25(16), 1997, 3235-3241.
Burnham, P. et al., “Myriad Applications of Circulating Cell-Free DNA in Precision Organ Transplant Monitoring”, Annals of the American Thoracic Society, vol. 14, Supplement 3, Sep. 2017, S237-S241.
Butler, J. et al., “The Development of Reduced Size STR Amplicons as Tools for Analysis of Degraded DNA*”, Journal of Forensic Sciences, vol. 48, No. 5, 2003, 1054-1064.
Butt, A. N. et al., “Overview of Circulating Nucleic Acids in Plasma/Serum: Update on Potential Prognostic and Diagnostic Value in Diseases Excluding Fetal Medicine and Oncology”, Ann. N.Y. Acad. Sci., vol. 1137, 2008, 236-242.
Cairns, Paul et al., “Homozygous Deletions of 9p21 in Primary Human Bladder Tumors Detected by Comparative Multiplex Polymerase Chain Reaction”, Cancer Research, 54, 1994, 1422-1424.
Caliendo, Angela , “Multiplex PCR and Emerging Technologies for the Detection of Respiratory Pathogens”, Clinical Infectious Diseases, 52(4), 2011, S326-S330.
Cansar, , “Hs-578-T—Copy Number Variation—Cell Line Synopsis”, ICR Cancer Research UK, Retrieved on Mar. 26, 2018 from https://cansar.icr.ac.uk/cansar/cell-lines/Hs-578-Vcopy_number_variation/chromosome_8/, Mar. 26, 2018, 50 pgs.
Carnevale, Alessandra et al., “Attitudes of Mexican Geneticists Towards Prenatal Diagnosis and Selective Abortion”, American Journal of Medical Genetics, 75, 1998, 426-431.
Carvalho, B. et al., “Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data”, Biostatistics, vol. 8, No. 2, 2007, 485-499.
Casbon, J. A. et al., “A method for counting PCR template molecules with application to next-generation sequencing”, Nucleic Acids Research, vol. 39, No. 12, Apr. 13, 2011, 1-8.
Chakraborty, R. et al., “Paternity Exclusion by DNA Markers: Effects of Paternal Mutations”, Journal of Forensic Sciences, vol. 41, No. 4, Jul. 1996, 671-677.
Chan, K.C. et al., “Size Distributions of Maternal and Fetal DNA in Maternal Plasma”, Clinical Chemistry, vol. 50, No. 1, 2004, 88-92.
Chang, H.W. et al., “Assessment of Plasma DNA Levels, Allelic Imbalance, and CA 125 as Diagnostic Tests for Cancer”, Journal of the National Cancer Institute, vol. 94, No. 22, Nov. 20, 2002, 1697-1703.
Chen, E. et al., “Noninvasive Prenatal Diagnosis of Fetal Trisomy 18 and Trisomy 13 by Maternal Plasma DNA Sequencing”, PLoS ONE, 6 (7), e21791, 2011, 7pgs.
Chen, X. Q. et al., “Microsatallite alterations in plasma DNA of small cell lung cancer patients”, Nature Medicine, vol. 2, No. 9, Sep. 1996, 1033-1035.
Chetty, Shilpa et al., “Uptake of Noninvasive Prenatal Testing (NIPT) in Women Following Positive Aneuploidy Screening”, Prenatal Diagnosis,33, 2013, 542-546.
Cheung, S. W. et al., “Rapid Publication: Microarray-Based CGH Detects Chromosomal Mosaicism Not Revealed by Conventional Cytogenetics”, American Journal of Medical Genetics Part A, vol. 143A, 2007, 1679-1686.
Chiu, R. et al., “Non-Invasive Prenatal Assessment of Trisomy 21 by Multiplexed Maternal Plasma DNA Sequencing: Large Scale Validity Study”, BMJ, 342, c7401, 2011, 9 pgs.
Chiu, Rossa W. et al., “Effects of Blood-Processing Protocols on Fetal and Total DNA Quantification in Maternal Plasma”, Clinical Chemistry, 47(9), 2001, 1607-1613.
Chiu, Rossa W.K. et al., “Maternal Plasma DNA Analysis with Massively Parallel Sequencing by Litigation for Noninvasive Prenatal Diagnosis of Trisomy 21”, Clinical Chemistry, 56, 3, 2010, 459-463.
Chiu, Rossa W.K. et al., “Non-Invasive Prenatal Diagnosis by Single Molecule Counting Technologies”, Trends in Genetics, 25 (7), 2009, 324-331.
Chiu, Rossa W.K. et al., “Noninvasive Prenatal Diagnosis of Fetal Chromosomal Aneuploidy by Massively Parallel Genomic Sequencing of DNA in Maternal Plasma (with Supporting Information)”, PNAS, vol. 105, No. 51, 2008, 20458-20463.
Choi, M. et al., “Genetic diagnosis by whole exome capture and massively parallel DNA sequencing”, PNAS, vol. 106, No. 45, Nov. 10, 2009, 19096-19101.
Chu, T. et al., “Statistical Considerations for Digital Approaches to Non-Invasive Fetal Genotyping”, Bioinformatics (Advance Access publication), 26 (22), 2010, 2863-2866.
Chu, Tianjiao et al., “Statistical Model for Whole Genome Sequencing and its Application to Minimally Invasive Diagnosis of Fetal Genetic Disease”, Bioinformatics, 25(10), 2009, 1244-1250.
Chu, Tianjiao, et al., “A Novel Approach Toward the Challenge of Accurately Quantifying Fetal DNA in Maternal Plasma”, Prenatal Diagnosis,30, 2010, 1226-1229.
Cole, Neal W. et al., “Hyperglycemia-Induced Membrane Lipid Peroxidation and Elevated Homocysteine Levels Are Poorly Attenuated by Exogenous Folate in Embryonic Chick Brains”, Comparative Biochemistry and Physiology, Part B, 150, 2008, 338-343.
Colella, S. et al., “QuantiSNP: an Objectives Bayes Hidden-Markov Model to Detect and Accurately Map Copy Number Variation Using SNP Genotyping Data”, Nucleic Acids Research, 35 (6), 2007, 2013-2025.
Conlin, L. K. et al., “Mechanisms of mosaicism, chimerism and uniparental disomy identified by single nucleotide polymorphism array analysis”, Human Molecular Genetics, vol. 19, No. 7, Jan. 6, 2010, 1263-1275.
Coombes, R. C. , “Abstract P4-01-02: Early detection of residual breast cancer through a robust, scalable and personalized analysis of circulating tumour DNA (ctDNA) antedates overt metastatic recurrence”, Cancer Research, vol. 79, No. 4 Supplement, Feb. 15, 2019.
Cossu, Gianfranco et al., “Rh D/d Genotyping by Quantitative Polymerase Chain Reaction and Capillary Zone Electrophoresis”, Electrophoresis, 17, 1996, 1911-1915.
Coyle, J. F. et al., “Standards for detailed clinical models as the basis for medical data exchange and decision support”, International Journal of Medical Informatics, 69(2-3), 2003, 157-174.
Craig, D. W. et al., “Identification of genetic variants using bar-coded multiplexed sequencing”, Nature Methods, vol. 5, Oct. 2008, 887-893.
Cross, Jillian et al., “Resolution of trisomic mosaicism in prenatal diagnosis: estimated performance of a 50K SNP microarray”, Prenat Diagn 2007; 27, 2007, 1197-1204.
D'Aquila, Richard et al., “Maximizing sensitivity and specificity of PCR by pre-amplification heating”, Nucleic Acids Research, 19(13), 1991, p. 3749.
Daruwala, Raoul-Sam et al., “A Versatile Statistical Analysis Algorithm to Detect Genome Copy Number Variation”, PNAS, 101(46), 2004, 16292-16297.
De Bruin, E. et al., “Spatial and temporal diversity in genomic instability processes defines lung cancer evolution”, Science, vol. 346, No. 6206, Oct. 10, 2014, 251-256.
De Vries, et al., “Diagnostic genome profiling in mental retardation”, Am J Hum Genet, 77, published online Aug. 30, 2005, 2005, 606-616.
Deangelis, M. et al., “Solid-phase Reversible Immobilization for the Isolation of PCR Products”, Nucleic Acids Research, 23 (22), 1995, 4742-4743.
Deng, S. et al., “TNER: A Novel Background Error Suppression Method for Mutation Detection in Circulating Tumor DNA”, bioRxiv, http://dx.doi.org/10.1101/214379, Nov. 5, 2017, 12 pgs.
Deutsch, S. et al., “Detection of aneuploidies by paralogous sequence quantification”, J Med Genet, vol. 41, 2004, 908-915.
Devaney, S. et al., “Noninvasive Fetal Sex Determination Using Cell-Free Fetal DNA: A Systematic Review and Meta-analysis”, JAMA, 306 (6), 2011, 627-636.
Dhallan, et al., “Methods to Increase the Percentage of Free Fetal DNA Recovered from the Maternal Circulation”, JAMA, 291(9), 2004, 1114-1119.
Dhallan, Ravinder et al., “A non-invasive test for prenatal diagnosis based on fetal DNA present in maternal blood: a preliminary study”, The Lancet, 369, 2007, 474-481.
Dieffenbach, C W. et al., “General concepts for PCR primer design”, Genome Research. PCR methods and Applications vol. 3, 1993, S30-S37.
Dietmaier, W. et al., “Multiple Mutation Analyses in Single Tumor Cells with Improved Whole Genome Amplification”, American Journal of Pathology, vol. 154, No. 1, Jan. 1999, 83-95.
Ding, C et al., “Direct molecular haplotyping of long-range genomic DNA with M1-PCR”, PNAS 100(13), 2003, 7449-7453.
Dodge, Y. , “Bayes' Theorem”, The Concise Encyclopedia of Statistics, 2008, 30-31.
Dohm, J. et al., “Substantial Biases in Ultra-Short Read Data Sets From High-Throughput DNA Sequencing”, Nucleic Acids Research, 36 (16), e105, 2008, 10 pgs.
Dolganov, Gregory et al., “A Novel Method of Gene Transcript Profiling in Airway Biopsy Homogenates Reveals Increased Expression of a Na -K+ -CI-Cotransporter (NKCC1) in Asthmatic Subjects”, Genome Res., 11, 2001, 1473-1483.
Donaghue, C. et al., “Detection of mosaicism for primary trisomies in prenatal samples by QF-PCR and karyotype analysis”, Prenatal Diagnosis, vol. 25, 2005, 65-72.
Donohoe, Gerard G et al., “Rapid Single-Tube Screening of the C282Y Hemochromatosis Mutation by Real-Time Multiplex Allele-specific PCR without Fluorescent Probes”, Clinical Chemistry, 46, 10, 2000, 1540-1547.
Donoso, P. et al., “Current Value of Preimplantation Genetic Aneuploidy Screening in IVF”, Human Reproduction Update, 13(1), 2007, 15-25.
Echeverri, et al., “Caffeine's Vascular Mechanisms of Action”, International Journal of Vascular Medicine vol. 2010(2010), 10 pages, Aug. 25, 2010.
Ehrich, Mathias et al., “Noninvasive Detection of Fetal Trisomy 21 by Sequencing of DNA in Maternal Blood: A Study in a Clinical Setting”, American Journal of Obstetrics & Gynecology, 204, 2011, 205.e1-205.e11.
Eichler, H , “Mild Course of Fetal Rh D Haemolytic Disease due to Maternal Alloimmunisation to Paternal HLA Class I and II Antigens”, Vox Sang, 68, 1995, 243-247.
Ellison, Aaron M. , “Bayesian Inference in Ecology”, Ecology Letters, vol. 7, 2004, 509-520.
Ellonen, P. et al., “Development of SNP Microarray for Supplementary Paternity Testing”, International Congress Series,1261, 2004, 12-14.
EP06838311.6, , “European Communication and Extended European Search Report”, dated Dec. 30, 2008, 8 pgs.
EP08742125.1, , “European Communication pursuant to Article 94(3) EPC and Examination Report”, dated Feb. 12, 2010, 5 pgs.
Everitt, B. S. , “Medical Statistics From A to Z”, 2003, 3 pages.
Fan, et al., “Whole-genome molecular haplotyping of single cells”, Nature Biotechnology, vol. 29, No. 1, Jan. 1, 2011, 51-57.
Fan, Christina H. et al., “Non-Invasive Prenatal Measurement of the Fetal Genome”, Nature, doi:10.1038/nature11251, 2012, 26 pgs.
Fan, Christina H et al., “Noninvasive Diagnosis of Fetal Aneuploidy by Shotgun Sequencing DNA from Maternal Blood”, PNAS, 105, 42, 2008, 16266-16271.
Fan, H. C. et al., “Microfluidic digital PCR enables rapid prenatal diagnosis of fetal aneuploidy”, American Journal of Obstetrics & Gynecology, vol. 200, May 2009, 543.e1-543.e7.
Fan, H. Christina et al., “Sensitivity of Noninvasive Prenatal Detection of Fetal Aneuploidy from Maternal Plasma Using Shotgun Sequencing Is Limited Only by Counting Statistics”, PLoS ONE, vol. 5, Issue 5 (e10439), May 3, 2010, 1-6.
Fan, Jian-Bing et al., “Highly Parallel Genomic Assay”, Nature Reviews, 7, 2006, 632-644.
Fazio, Gennaro, et al., “Identification of RAPD Markers Linked to Fusarium Crown and Root Rot Resistance (Frl) in Tomato”, Euphytica 105, 1999, 205-210.
Fiorentino, F. et al., “Development and Clinical Application of a Strategy for Preimplantation Genetic Diagnosis of Single Gene Disorders Combined with HLA Matching”, Molecular Human Reproduction (Advance Access publication), 10 (6), 2004, 445-460.
Fiorentino, F et al., “Strategies and Clinical Outcome of 250 Cycles of Preimplantation Genetic Diagnosis for Single Gene Disorders”, Human Reproduction, 21, 3, 2006, 670-684.
Fiorentino, Francesco et al., “Short Tandem Repeats Haplotyping of the HLA Region in Preimplantation HLA Matching”, European Journal of Human Genetics, 13, 2005, 953-958.
Ford, E. et al., “A method for generating highly multiplexed ChIP-seq libraries”, BMC Research Notes, vol. 7, No. 312, May 22, 2014, 1-5.
Forejt, et al., “Segmental trisomy of mouse chromosome 17: introducing an alternative model of Down's syndrome”, Genomics, 4(6), 2003, 647-652.
Forshew, et al., “Noninvasive Identification and Monitoring of Cancer Mutations by Targeted Deep Sequencing of Plasma DNA”, Noninvasive identification and monitoring of cancer mutations by targeted deep sequencing of plasma DNA. Sci. Transl. Med. 4, 136 30 (2012)., 1-12.
Forshew, T. et al., “Supplementary Materials for Noninvasive Identification and Monitoring of Cancer Mutations by Targeted Deep Sequencing of Plasma DNA”, Sci. Transl. Med, vol. 4, May 30, 2012, 20 pgs.
Fredriksson, et al., “Multiplex amplification of all coding sequences within 10 cancer genes by Gene-Collector”, Nucleic Acids Research, 2007, vol. 35, No. 7 e47, 1-6.
Freeman, Jennifer L. et al., “Copy Number Variation: New Insights in Genome Diversity”, Genome Research, 16, 2006, 949-961.
Frost, Mackenzie S et al., “Differential Effects of Chronic Pulsatile Versus Chronic Constant Maternal Hyperglycemia on Fetal Pancreatic B-Cells”, Journal of Pregnancy, 2012,, Article ID 812094, 2012, 8.
Fu, G. K. et al., “Counting individual DNA molecules by the stochastic attachment of diverse labels”, PNAS, vol. 108, No. 22, May 31, 2011, 9026-9031.
Fu, G. K. et al., “Digital Encoding of Cellular mRNAs Enabling Precise and Absolute Gene Expression Measurement by Single-Molecule Counting”, Analytical Chemistry, vol. 86, Mar. 3, 2014, 2867-2870.
Ganshirt-Ahlert, D. et al., “Ratio of Fetal to Maternal DNA is Less Than 1 in 5000 at different Gestational Ages in Maternal Blood”, Clinical Genetics,38, 1990, 38-43.
Ganshirt-Ahlert, D. et al., “Fetal DNA in Uterine Vein Blood”, Obstetrics & Gynecology, 80 (4), 1992, 601-603.
Ganshirt-Ahlert, Dorothee et al., “Three Cases of 45,X/46,XYnf Mosaicism”, Human Genetics, 76, 1987, 153-156.
Garcia-Murillas, I. et al., “Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer”, Science Translational Medicine, vol. 7, No. 302, Aug. 26, 2015, 1-2.
Gardina, P. et al., “Ploidy Status and Copy Number Aberrations in Primary Glioblastomas Defined by Integrated Analysis of Allelic Ratios, Signal Ratios and Loss of Heterozygosity Using 500K SNP Mapping Arrays”, BMC Genomics, 9 (489), (doi:10.1186/1471-2164-9-489), 2008, 16 pgs.
Geiss, G. K. et al., “Direct multiplexed measurement of gene expression with color-coded probe pairs”, Nature Biotechnology, vol. 26, No. 3, Feb. 17, 2008, 317-325.
Ghanta, Sujana et al., “Non-Invasive Prenatal Detection of Trisomy 21 Using Tandem Single Nucleotide Polymorphisms”, PLoS ONE, 5 (10), 2010, 10 pgs.
Gjertson, David W. et al., “Assessing Probability of Paternity and the Product Rule in DNA Systems”, Genetica, 96, 1995, 89-98.
Greenwalt, T. et al., “The Quantification of Fetomaternal Hemorrhage by an Enzyme-Linked Antibody Test with Glutaraldehyde Fixation”, Vox Sang, 63, 1992, 268-271.
Guerra, J. , “Terminal Contributions for Duplex Oligonucleotide Thermodynamic Properties in the Context of Nearest Neighbor Models”, Biopolymers, 95(3), (2010), 2011, 194-201.
Guetta, Esther et al., “Analysis of Fetal Blood Cells in the Maternal Circulation: Challenges, Ongoing Efforts, and Potential Solutions”, Stem Cells and Development, 13, 2004, 93-99.
Guichoux, et al., “Current Trends in Microsatellite Genotyping”, Molecular Ecology Resources, 11, 2011, 591-911.
Gunderson, K. L. et al., “A genome-wide scalable SNP genotyping assay using microarray technology”, Nature Genetics, vol. 37, No. 5, May 2005, 549-554.
Hall, M. , “Panorama Non-Invasive Prenatal Screening for Microdeletion Syndromes”, Apr. 1, 2014 (Apr. 1, 2014), XP055157224, Retrieved from the Internet: URL:http://www.panoramatest.com/sites/default/files/files/PanoramaMicrodeletionsWhite Paper-2.pdf [retrieved on Dec. 12, 2008].
Han, S-W et al., “Predictive and Prognostic Impact of Epidermal Growth Factor Receptor Mutation in Non-Small-Cell Lung Cancer Patients Treated With Gefitinib”, Journal of Clinical Oncology, vol. 23, No. 11, Apr. 10, 2005, 2493-2501.
Handyside, et al., “Isothermal whole genome amplification from single and small numbers of cells: a new era for preimplantation genetic diagnosis of inherited disease”, Molecular Human Reproduction vol. IO, No. 10 pp. 767-772, 2004.
Hara, Eiji et al., “Subtractive eDNA cloning using oligo(dT)3o-latex and PCR: isolation of eDNA clones specific to undifferentiated human embryonal carcinoma cells”, Nucleic Acids Research, 19(25), 1991, 7097-7104.
Hardenbol, P. , “Multiplexed Genotyping With Sequence-Tagged Molecular Inversion Probes”, Nature Biotechnology, 21 (6), 2003, 673-678.
Hardenbol, Paul et al., “Highly multiplexed molecular inversion probe genotyping: Over 10,000 targeted SNPs genotyped in a singled tube assay”, Genome Research, 15, 2005, 269-275.
Harismendy, O. et al., “Method for Improving Sequence Coverage Uniformity of Targeted Genomic Intervals Amplified by LR-PCR Using Illumina GA Sequencing-By-Synthesis Technology”, Bio Techniques, 46(3), 2009, 229-231.
Harper, J. C. et al., “Recent Advances and Future Developments in PGD”, Prenatal Diagnosis, 19, 1999, 1193-1199.
Harton, G.L. et al., “Preimplantation Genetic Testing for Marfan Syndrome”, Molecular Human Reproduction, 2 (9), 1996, 713-715.
Hartwell, L. H. et al., “Chapter 11: The Direct Detection of Genotype Distinguishes Individual Genomes”, Genetics: From Genes to Genomes, Second Edition, 2004, 371-414.
Hartwell, L. H. et al., “Chapter 13: Chromosomal Rearrangements and Changes in Chromosome Number Reshape Eukaryotic Genomes”, Genetics: From Genes to Genomes, Second Edition, 2004, 441-486.
Hattori, M. et al., “The DNA sequence of human chromosome 21”, Nature, vol. 405, May 18, 2000, 311-319.
Hawkins, T. et al., “Whole genome amplification—applications and advances”, Current Opinion in Biotechnology, 13, 2002, 65-67.
Hayden, et al., “Multiplex-Ready PCR: A new method for multiplexed SSR and SNP genotyping”, BMC Genomics 2008, 9(80), 1-12.
Hellani, A. et al., “Clinical Application of Multiple Displacement Amplification in Preimplantation Genetic Diagnosis”, Reproductive BioMedicine Online, 10 (3), 2005, 376-380.
Hellani, Ali et al., “Multiple displacement amplification on single cell and possible PGD applications”, Molecular Human Reproduction, 10(11), 2004, 847-852.
Hojsgaard, S. et al., “BIFROST—Block recursive models induced from relevant knowledge, observations, and statistical techniques”, Computational Statistics & Data Analysis, 19(2), 1995, 155-175.
Hollas, B. et al., “A stochastic approach to count RN A molecules using DNA sequencing methods”, Lecture Notes in Computer Science, vol. 2812, 2003, 55-62.
Holleley, et al., “Multiplex Manager 1.0: a Cross-Platform Computer Program that Plans and Optimizes Multiplex PCR”, BioTechniques46:511-517 (Jun. 2009), 511-517.
Hollox, E. et al., “Extensive Normal Copy Number Variation of a β-Defensin Antimicrobial-Gene Cluster”, Am. J. Hum. Genet., 73, 2003, 591-600.
Homer, et al., “Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays”, PLOS Genetics, 4(8), 2008, 9 pgs.
Hoogendoorn, Bastiaan et al., “Genotyping Single Nucleotide Polymorphisms by Primer Extension and High Performance Liquid Chromatography”, Hum Genet, 104, 1999, 89-93.
Hornak, M. et al., “Aneuploidy Detection in Pigs Using Comparative Genomic Hybridization: From the Oocytes to Blastocysts”, PLoS ONE, vol. 7, No. 1, Jan. 2012, 6 pages.
Hospital, F. et al., “A General Algorithm to Compute Multilocus Genotype Frequencies Under Various Mating Systems” vol. 12, No. 6, Jan. 1, 1996 (Jan. 1, 1996), pp. 455-462.
Howie, et al., “Fast and accurate genotype imputation in genome-wide association studies through pre-phasing”, Nature Genetics, vol. 44, No. 8, Jul. 22, 2012, 955-959.
Hu, Dong Gui et al., “Aneuploidy Detection in Single Cells Using DNA Array-Based Comparative Genomic Hybridization”, Molecular Human Reproduction, 10(4), 2004, 283-289.
Hug, H. et al., “Measurement of the number of molecules of a single mRNA species in a complex mRNA preparation”, J. Theor. Biol., vol. 221, 2003, 615-624.
Hultin, E. et al., “Competitive enzymatic reaction to control allele-specific extensions”, Nucleic Acids Research, vol. 33, No. 5, Mar. 14, 2005, 1-10.
Ido, Yasuo et al., “Hyperglycemia-Induced Apoptosis in Human Umbilical Vein Endothelial Cells: Inhibition by the AMP-Activated Protein Kinase Activation”, Diabetes, 51, 2002, 159-167.
Illumina, , “Patent Owner Illumina's Preliminary Response to Petition”, dated Oct. 17, 2018, 75 pgs.
Illumina, , “Petition for Inter Partes Review of U.S. Pat. No. 8,682,592”, Jun. 13, 2019, 91 pages.
Illumina, , “Plaintiff/Counterclaim Defendant Illumina, Inc.'s Amended Patent L.R. 3-3 Preliminary Invalidity Contentions for U.S. Pat. No. 8,682,592”, Oct. 30, 2018, 22 pages.
Illumina, , “Plaintiff/Counterclaim-Defendant Illumina, Inc.'s Patent L.R. 3-3 Contentions for U.S. Patent Preliminary Invalidity Contentions for U.S. Pat. No. 8,682,592”, Oct. 9, 2018, 81 pages.
Illumina Catalog, , “Paired-End Sample Preparation Guide, Illumina Catalog# PE-930-1 001, Part# 1005063 Rev. E”, 2011, 1-40.
Illumina, Inc., , “Declaration of David Peters, Ph.D. in Support of Petition for Inter Partes Review of U.S. Pat. No. 8,682,592”, Jun. 13, 2019, 136 pages.
Illumina, Inc. V. Natera, Inc., , “Order Re: Claim Construction”, Jan. 30, 2019, 16 pgs.
Ishii, et al., “Optimization of Annealing Temperature to Reduce Bias Caused by a Primer Mismatch in Multitemplate PCR”, Applied and Environmental Microbiology, Aug. 2001, p. 3753-3755.
Jabara, C. B. et al., “Accurate sampling and deep sequencing of the HIV-1 protease gene using a Primer ID”, PNAS, vol. 108, No. 50, Dec. 13, 2011, 20166-20171.
Jahr, S. et al., “DNA Fragments in the Blood Plasma of Cancer Patients: Quantitations and Evidence for Their Origin from Apoptotic and Necrotic Cells”, Cancer Research, vol. 61, Feb. 15, 2001, 1659-1665.
Jamal-Hanjani, M. et al., “Detection of ubiquitous and heterogeneous mutations in cell-free DNA from patients with early-stage non-small-cell lung cancer”, Annals of Oncology, vol. 27, No. 5, Jan. 28, 2016, 862-867.
Jamal-Hanjani, M. et al., “Tracking Genomic Cancer Evolution for Precision Medicine: The Lung TRACERx Study”, PLOS Biology, vol. 12, No. 7, Jul. 2014, 1-7.
Jamal-Hanjani, M. et al., “Tracking the Evolution of Non-Small-Cell Lung Cancer”, The New England Journal of Medicine, vol. 376, No. 22, Jun. 1, 2017, 2109-2121.
Jarvie, T. , “Next generation sequencing technologies”, Drug Discovery Today: Technologies, vol. 2, No. 3, 2005, 255-260.
Jenkins, S. et al., “High-throughput SNP genotyping”, Comparative and Functional Genomics, vol. 3, Dec. 5, 2001, 57-66.
Johnson, D.S. et al., “Comprehensive Analysis of Karyotypic Mosaicism Between Trophectoderm and Inner Cell Mass”, Molecular Human Reproduction, 16(12), 2010, 944-949.
Johnson D.S, et al., “Preclinical Validation of a Microarray Method for Full Molecular Karyotyping of Blastomeres in a 24-h Protocol”, Human Reproduction, 25 (4), 2010, 1066-1075.
Kamat, A. A. et al., “Quantification of total plasma cell-free DNA in ovarian cancer using real-time PCR”, Ann N Y Acad Sci., vol. 1075, Sep. 2006, 230-234.
Kaplinski, Lauris et al., “MultiPLX: Automatic Grouping and Evaluation of PCR Primers”, Bioinformatics, 21(8), 2005, 1701-1702.
Kazakov, V.I. et al., “Extracellular DNA in the Blood of Pregnant Women”, Tsitologia, vol. 37, No. 3, 1995, 1-8.
Kijak, G. et al., “Discrepant Results in the Interpretation of HIV-1 Drug-Resistance Genotypic Data Among Widely Used Algorithms”, HIV Medicine, 4, 2003, 72-78.
Kim, H. et al., “Whole-genome and multisector exome sequencing of primary and post-treatment glioblastoma reveals patterns of tumor evolution”, Genome Research, vol. 25, No. 3, Feb. 3, 2015, 316-327.
Kinde, I. et al., “Detection and quantification of rare mutations with massively parallel sequencing”, PNAS, vol. 108, No. 23, Jun. 7, 2011, 9530-9535.
Kinnings, S. L. et al., “Factors affecting levels of circulating cell-free fetal DNA in maternal plasma and their implications for noninvasive prenatal testing”, Prenatal Diagnosis, vol. 35, 2015, 816-822.
Kirkizlar, E. et al., “Detection of Clonal and Subclonal Copy-Number Variants in Cell-Free DNA from Patients with Breast Cancer Using a Massively Multiplexed PCR Methodology”, Translational Oncology, vol. 8, No. 5, Oct. 2015, pp. 407-416.
Kivioja, T. et al., “Counting absolute numbers of molecules using unique molecular identifiers”, Nature Methods, Advance Online Publication, Nov. 20, 2011, 1-5.
Konfortov, Bernard A. et al., “An Efficient Method for Multi-Locus Molecular Haplotyping”, Nucleic Acids Research, 35(1), e6, 2007, 8 pgs.
Krjutskov, K. et al., “Development of a single tube 640-plex genotyping method for detection of nucleic acid variations on microarrays”, Nucleic Acids Research, vol. 36, No. 12, May 23, 2008, 7 pages.
Kuliev, Anver et al., “Thirteen Years' Experience on Preimplantation Diagnosis: Report of the Fifth International Symposium on Preimplantation Genetics”, Reproductive BioMedicine Online, 8, 2, 2004, 229-235.
Kunishima, S. et al., “First description of somatic mosaicism in MYH9 disorders”, British Journal of Haematology, vol. 128, 2005, 360-365.
Kwok, P. Y. , “High-throughput genotyping assay approaches”, Pharmacogenomics, vol. 1, No. 1, 2000, 1-5.
Lambert-Messerlian, G. et al., “Adjustment of Serum Markers in First Trimester Screening”, Journal of Medical Screening, 16 (2), 2009, 102-103.
Lander, E. S. et al., “Initial sequencing and analysis of the human genome”, Nature, vol. 409, Feb. 15, 2001, 860-921.
Lathi, Ruth B. et al., “Informatics Enhanced SNP Microarray Analysis of 30 Miscarriage Samples Compared to Routine Cytogenetics”, PLoS ONE, 7(3), 2012, 5 pgs.
Leary, R. J. et al., “Development of Personalized Tumor Biomarkers Using Massively Parallel Sequencing”, Science Translational Medicine, vol. 2, No. 20, Feb. 24, 2010, 1-8.
Leary, Rebecca J et al., “Detection of Chromosomal Alterations in the Circulation of Cancer Patients with Whole-Genome Sequencing”, Science Translational Medicine, 4, 162, 2012, 12.
Levsky, J. M. et al., “Fluorescence in situ hybridization: past, present and future”, Journal of Cell Science, vol. 116, No. 14, 2003, 2833-2838.
Li, B. , “Highly Multiplexed Amplicon Preparation for Targeted Re-Sequencing of Sample Limited Specimens Using the Ion AmpliSeq Technology and Semiconductor Sequencing”, Proceedings of the Annual Meeting of the American Society of Human Genetics [retrieved on Oct. 30, 2012], Retrieved from the Internet: <URL: http://www.ashg.org/2012meeting/abstracts/fulltext/f120121811.htm>, 2012, 1 pg.
Li, Y. et al., “Non-Invasive Prenatal Diagnosis Using Cell-Free Fetal DNA in Maternal Plasma from PGD Pregnancies”, Reproductive BioMedicine Online, 19 (5), 2009, 714-720.
Li, Ying et al., “Size Separation of Circulatory DNA in Maternal Plasma Permits Ready Detection of Fetal DNA Polymorphisms”, Clinical Chemistry, 50, 6, 2004, 1002-1011.
Liao, Gary J.W. et al., “Targeted Massively Parallel Sequencing of Maternal Plasma DNA Permits Efficient and Unbiased Detection of Fetal Alleles”, Clinical Chemistry, 57 (1), 2011, 92-101.
Liao, J. et al., “An Alternative Linker-Mediated Polymerase Chain Reaction Method Using a Dideoxynucleotide to Reduce Amplification Background”, Analytical Biochemistry 253, 137-139 (1997).
Liew, Michael et al., “Genotyping of Single-Nucleotide Polymorphisms”, Clinical Chemistry, 50(7), 2004, 1156-1164.
Lindroos, Katatina et al., “Genotyping SNPs by Minisequencing Primer Extension Using Oligonucleotide Microarrays”, Methods in Molecular Biology, 212, Single Nucleotide Polymorphisms: Methods and Protocols, P-K Kwok (ed.), Humana Press, Inc., Totowa, NJ, 2003, 149-165.
Lo, et al., “Digital PCR for the Molecular Detection of Fetal Chromosomal Aneuploidy”, PNAS, vol. 104, No. 32, Aug. 7, 2007, 13116-13121.
Lo, et al., “Fetal Nucleic Acids in Maternal Blood: the Promises”, Clin. Chem. Lab. Med., 50(6), 2012, 995-998.
Lo, et al., “Free Fetal DNA in Maternal Circulation”, JAMA, 292(23), (Letters to the Editor), 2004, 2835-2836.
Lo, , “Non-Invasive Prenatal Diagnosis by Massively parallel Sequencing of Maternal Plasma DNA”, Open Biol 2: 120086, 2012, 1-5.
Lo, et al., “Prenatal Sex Determination by DNA Amplification from Maternal Peripheral Blood”, The Lancet,2, 8676, 1989, 1363-1365.
Lo, et al., “Rapid Clearance of Fetal DNA from Maternal Plasma”, Am. J. Hum. Genet., 64, 1999, 218-224.
Lo, et al., “Strategies for the Detection of Autosomal Fetal DNA Sequence from Maternal Peripheral Blood”, Annals New York Academy of Sciences,731, 1994, 204-213.
Lo, et al., “Two-way cell traffic between mother and fetus: biologic and clinical implications”, Blood, 88(11), Dec. 1, 1996, 4390-4395.
Lo, Y. , “Noninvasive prenatal detection of fetal chromosomal aneuploidies by maternal plasma nucleic acid analysis: a review of the current state of the art”, BJOG an International Journal of Obstetrics and Gynaecology, vol. 116, 2009, 152-157.
Lo, Y.M. Dennis , “Fetal Nucleic Acids in Maternal Plasma: Toward the Development of Noninvasive Prenatal Diagnosis of Fetal Chromosomal Aneuploidies”, Ann. N.Y. Acad. Sci., 1137, 2008, 140-143.
Lo, Y.M. Dennis et al., “Maternal Plasma DNA Sequencing Reveals the Genome-Wide Genetic and Mutational Profile of the Fetus”, Science Translational Medicine,, 2 (61), 2010, 13.
Lo, Y.M. Dennis et al., “Plasma placental RNA allelic ratio permits noninvasive prenatal chromosomal aneuploidy detection”, Nature Medicine, 13 (2), 2007, 218-223.
Lo, Y.M. Dennis et al., “Presence of Fetal DNA in Maternal Plasma and Serum”, The Lancet, 350, 1997, 485-487.
Lo, Y.M. Dennis et al., “Quantitative Analysis of Fetal DNA in Maternal Plasma and Serum: Implications for Noninvasive Prenatal Diagnosis”, Am. J. Hum. Genet., 62, 1998, 768-775.
Lo, Y-M D. , “Non-invasive prenatal diagnosis using fetal cells in maternal blood”, J. Clin. Pathol., vol. 47, 1994, 1060-1065.
Lo, Y-M.D et al., “Detection of Single-Copy Fetal DNA Sequence from Maternal Blood”, The Lancet, 335, 1990, 1463-1464.
Lo, Y-M.D et al., “Prenatal Determination of Fetal Rhesus D Status by DNA Amplification of Peripheral Blood of Rhesus-Negative Mothers”, Annals New York Academy of Sciences, 731, 1994, 229-236.
Lo, Y-M.D. et al., “Detection of Fetal RhD Sequence from Peripheral Blood of Sensitized RhD-Negative Pregnant Women”, British Journal of Haematology, 87, 1994, 658-660.
Lo, Y-M.D. et al., “Prenatal Determination of Fetal RhD Status by Analysis of Peripheral Blood of Rhesus Negative Mothers”, The Lancet, 341, 1993, 1147-1148.
Lu, I. et al., “Establishment of a system based on universal multiplex-PCR for screening genetically modified crops”, Anal. Bioanal. Chem, vol. 396, Oct. 24, 2009, 2055-2064.
Lui, Y. Y. et al., “Predominant Hematopoietic Origin of Cell-Free DNA in Plasma and Serum after Sex-Mismatched Bone Marrow Transplantation”, Clinical Chemistry, vol. 48, vol. 3, 2002, 421-427.
Lun, Fiona M. et al., “Noninvasive Prenatal Diagnosis of Monogenic Diseases by Digital Size Selection and Relative Mutation Dosage on DNA in Maternal Plasma”, PNAS, 105(50), 2008, 19920-19925.
Ma, Xiaotu et al., “Rise and fall of subclones from diagnosis to relapse in pediatric B-acute lymphoblastic leukaemia”, Nature Communications, vol. 6, Mar. 19, 2015, 1-12.
Magbanua, M. J. et al., “Abstract PD2-01: Personalized serial circulating tumor DNA (ctDNA) analysis in high-risk early stage breast cancer patients to monitor and predict response to neoadjuvant therapy and outcome in the I-SPY 2 Trial”, Cancer Research, vol. 79, No. 4 Supplement, Feb. 15, 2019.
Mamon, H. et al., “Letters to the Editor: Preferential Amplification of Apoptotic DNA from Plasma: Potential for Enhancing Detection of Minor DNA Alterations in Circulating DNA”, Clinical Chemistry, vol. 54, No. 9, 2008, 1582-1584.
Maniatis, T. et al., “In: Molecular Cloning: A Laboratory Manual”, Cold Spring Harbor Laboratory, New York, Thirteenth Printing, 1986, 458-459.
Mansfield, Elaine S , “Diagnosis of Down Syndrome and Other Aneuploidies Using Quantitative Polymerase Chain Reaction and Small Tandem Repeat Polymorphisms”, Human Molecular Genetics, 2, 1, 1993, 43-50.
Mardis, E. R. , “The impact of next-generation sequencing technology on genetics”, Trends in Genetics, vol. 24, No. 3, Feb. 11, 2008, 133-141.
Margulies, M. et al., “Genome sequencing in microfabricated high-density picolitre reactors”, Nature, vol. 437, Sep. 15, 2005, 376-380.
Margulies, M. et al., “Genome sequencing in microfabricated high-density picolitre reactors plus Supplemental Methods”, Nature, vol. 437, Sep. 15, 2005, 40 pgs.
Markoulatos, P. et al., “Multiplex Polymerase Chain Reaction: A Practical Approach”, Journal of Clinical Laboratory Analysis, vol. 16, 2002, 47-51.
May, Robert M. , “How Many Species Are There on Earth?”, Science, 241, Sep. 16, 1988, 1441-1449.
McBride, D. et al., “Use of Cancer-Specific Genomic Rearrangements to Quantify Disease Burden in Plasma from Patients with Solid Tumors”, Genes, Chromosomes & Cancer, vol. 49, Aug. 19, 2010, 1062-1069.
McCloskey, M. L. et al., “Encoding PCR Products with Batch-stamps and Barcodes”, Biochem Genet., vol. 45, Oct. 23, 2007, 761-767.
McCray, Alexa T. et al., “Aggregating UMLS Semantic Types for Reducing Conceptual Complexity”, MEDINFO 2001: Proceedings of the 10th World Congress on Medical Informatics (Studies in Health Technology and Informatics, 84, V. Patel et al. (eds.), IOS Press Amsterdam, 2001, 216-220.
McDonald, B. R. et al., “Abstract P4-01-21: Multiplexed targeted digital sequencing of circulating tumor DNA to detect minimal residual disease in early and locally advanced breast cancer”, Cancer Research, vol. 79, No. 4 Supplement, Feb. 15, 2019.
Mennuti, M. et al., “Is It Time to Sound an Alarm About False-Positive Cell-Free DNA Testing for Fetal Aneuploidy?”, American Journal of Obstetrics, 2013, 5 pgs.
Merriam-Webster, , “Medical Definition of Stimulant”, http://www.merriam-webster.com/medical/stimulant, Mar. 14, 2016, 7 pages.
Mersy, et al., “Noninvasive Detection of Fetal Trisomy 21: Systematic Review and Report of Quality and Outcomes of Diagnostic Accuracy Studies Performed Between 1997 and 2012”, Human Reproduction Update, 19(4), 2013, 318-329.
Mertes, F. et al., “Targeted enrichment of genomic DNA regions for next-generation sequencing”, Briefings in Functional Genomics, vol. 10, No. 6, Nov. 26, 2011, 374-386.
Miller, Robert , “Hyperglycemia-Induced Changes in Hepatic Membrane Fatty Acid Composition Correlate with Increased Caspase-3 Activities and Reduced Chick Embryo Viability”, Comparative Biochemistry and Physiology, Part B, 141, 2005, 323-330.
Miller, Robert R. , “Homocysteine-Induced Changes in Brain Membrane Composition Correlate with Increased Brain Caspase-3 Activities and Reduced Chick Embryo Viability”, Comparative Biochemistry and Physiology Part B, 136, 2003, 521-532.
Miner, B. E. et al., “Molecular barcodes detect redundancy and contamination in hairpin-bisulfite PCR”, Nucleic Acids Research, vol. 32, No. 17, Sep. 30, 2004, 1-4.
Minkoff, E. et al., “Stem Cells, Cell Division, and Cancer”, Biology Today Third Edition, Chapter 12, 2004, 10 pages.
Morand, et al., “Hesperidin contributes to the vascular protective effects of orange juice: a randomized crossover study in healthy volunteers”, Am J Clin Nutr. Jan. 2011;93(1 ):73-80. Epub Nov. 10, 2010.
Munne, S. et al., “Chromosome abnormalities in human embryos”, Human Reproduction update, 4 (6), 842-855.
Munne, S. et al., “Chromosome Abnormalities in Human Embryos”, Textbook of Assisted Reproductive Techniques, 2004, pp. 355-377.
Munne, S. et al., “Improved implantation after preimplantation genetic diagnosis of aneuploidy”, Reproductive BioMedicine Online, vol. 7., No. 1., May 15, 2003, 91-97.
Murtaza, M. et al., “Non-Invasive Analysis of Acquired Resistance to Cancer Therapy by Sequencing of Plasma DNA”, Nature (doi:10.1038/nature12065), 2013, 6 pgs.
Muse, Spencer V. , “Examining rates and patterns of nucleotide substitution in plants”, Plant Molecular Biology 42: 25-43, 2000.
Myers, Chad L. et al., “Accurate Detection of Aneuploidies in Array CGH and Gene Expression Microarray Data”, Bioinformatics, 20(18), 2004, 3533-3543.
Nannya, Yasuhito et al., “A Robust Algorithm for Copy Number Detection Using High-density Oligonucleotide Single Nucleotide Polymorphism Genotyping Arrays”, Cancer Res., 65, 14, 2005, 6071-6079.
Narayan, A. et al., “Ultrasensitive measurement of hotspot mutations in tumor DNA in blood using error-suppressed multiplexed deep sequencing”, Cancer Research, vol. 72, No. 14, Jul. 15, 2012, 3492-3498.
Natera, Inc., , “Declaration of Sandra L. Haberny”, May 16, 2019, 3 pages.
Natera, Inc., , “Defendant Natera, Inc.'s Invalidity Contentions Under Patent L.R. 3-3; Document Production Accompanying Invalidity Contentions Under Patent L.R. 3-4”, Aug. 20, 2018, 17 pages.
Natera, Inc., , “Exhibit 8 Ehrich Invalidity Chart”, Aug. 20, 2018, 16 pages.
Natera, Inc., , “Exhibits A-H to Haberny Declaration”, May 16, 2019, 192 pages.
Natera, Inc., , “Motion to Dismiss”, May 16, 2019, 2 pages.
Natera, Inc., , “Natera Inc.'s First Amended Answer, Affirmative Defenses and Counterclaims”, Aug. 16, 2018, 28 pages.
Natera, Inc., , “Natera, Inc.'s Supplemental Objections and Response to Plaintiff Illumina, Inc.'s Interrogatory No. 8”, Mar. 20, 2019, 29 pages.
Natera, Inc., , “Opening Brief in Support of Motion to Dismiss”, May 16, 2019, 26 pages.
Natera, Inc., , “Petitioner Reply Per Board Order of Nov. 2, 2018 (Paper No. 10)”, Nov. 9, 2018, 8 pgs.
Newman, A. M. et al., “Integrated digital error suppression for improved detection of circulating tumor DNA”, Nature Biotechnology, vol. 34, No. 5, May 2016, 547-555.
Ng, S. B. et al., “Individualised multiplexed circulating tumour DNA assays for monitoring of tumour presence in patients after colorectal cancer surgery”, Scientific Reports, vol. 7, No. 40737, Jan. 19, 2017, 11 pages.
Nguyen-Dumont, T. , “A high-plex PCR approach for massively parallel sequencing”, BioTechniques, vol. 55, No. 2, Aug. 2013, 69-74.
Nicolaides, K. et al., “Noninvasive Prenatal Testing for Fetal Trisomies in a Routinely Screened First-Trimester Population”, American Journal of Obstetrics (article in press), 207, 2012, 1.e1-1.e6.
Nicolaides, K.H et al., “Validation of Targeted Sequencing of Single-Nucleotide Polymorphisms for Non-Invasive Prenatal Detection of Aneuploidy of Chromosomes 13, 18, 21, X, and Y”, Prenatal Diagnosis, 33, 2013, 575-579.
Nicolaides, Kypros H. et al., “Prenatal Detection of Fetal Triploidy from Cell-Free DNA Testing in Maternal Blood”, Fetal Diagnosis and Therapy, 2013, 1-6.
Nygren, et al., “Quantification of Fetal DNA by Use of Methylation-Based DNA Discrimination”, Clinical Chemistry 56:10 1627-1635 (2010).
Ogino, S. et al., “Bayesian Analysis and Risk Assessment in Genetic Counseling and Testing”, Journal of Molecular Diagnostics, 6 (1), 2004, 9 pgs.
Ohsawa, M. et al., “Prenatal Diagnosis of Two Pedigrees of Fukuyama Type Congenital Muscular Dystrophy by Polymorphism Analysis”, The Health and Welfare Ministry, 1994, 5 pgs.
O'Malley, R. et al., “An adapter ligation-mediated PCR method for high-throughput mapping of T-DNA inserts in the Arabidopsis genome”, Nat. Protoc., 2, 2007, 2910-2917.
Orozco A.F., et al., “Placental Release of Distinct DNA-Associated Micro-Particles into Maternal Circulation: Reflective of Gestation Time and Preeclampsia”, Placenta,30, 2009, 891-897.
Ozawa, Makiko et al., “Two Families with Fukuyama Congenital Muscular Dystrophy that Underwent in Utero Diagnosis Based on Polymorphism Analysis”, Clinical Muscular Dystrophy: Research in Immunology and Genetic Counseling—FY 1994 Research Report, (including text in Japanese), 1994, 8.
Paez, Guillermo J. et al., “Genome coverage and sequence fidelity of Φ29 polymerase-based multiple strand displacement whole genome amplification”, Nucleic Acids Research, 32(9), 2004, 1-11.
Page, S. L. et al., “Chromosome Choreography: The Meiotic Ballet”, Science, 301, 2003, 785-789.
Palomaki, G. E. et al., “DNA sequencing of maternal plasma to detect Down syndrome: An international clinical validation study”, Genetics In Medicine, vol. 13, No. 1, Nov. 2011, 913-920.
Palomaki, Glenn et al., “DNA Sequencing of Maternal Plasma Reliably Identifies Trisomy 18 and Trisomy 13 as Well as Down Syndrome: an International Collaborative Study”, Genetics in Medicine, 2012, 10.
Palomaki, Glenn E. et al., “DNA Sequencing of Maternal Plasma to Detect Down Syndrome: An International Clinical Validation Study”, Genetics in Medicine (pre-print version), 13, 2011, 8 pgs.
Papadopoulou, E. et al., “Cell-Free DNA and RNA in Plasma as a New Molecular Marker for Prostate Cancer”, Oncology Research, vol. 14, 2004, 439-445.
Papageorgiou, Elisavet A. et al., “Fetal-Specific DNA Methylation Ratio Permits Noninvasive Prenatal Diagnosis of Trisomy 21”, Nature Medicine (advance online publication), 17, 2011, 5 pgs.
Pastinen, T. et al., “Minisequencing: A Specific Tool for DNA Analysis and Diagnostics on Oligonucleotide Arrays”, Genome Research, vol. 7, 1997, 606-614.
Pathak, A. et al., “Circulating Cell-Free DNA in Plasma/Serum of Lung Cancer Patients as a Potential Screening and Prognostic Tool”, Clinical Chemistry, 52, 2006, 1833-1842.
PCT/US2006/045281, , “International Preliminary Report on Patentability”, dated May 27, 2008, 1 pg.
PCT/US2006/045281, , “International Search Report and Written Opinion”, dated Sep. 28, 2007, 7 pgs.
PCT/US2008/003547, , “International Search Report”, dated Apr. 15, 2009, 5 pgs.
PCT/US2009/034506, , “International Search Report”, dated Jul. 8, 2009, 2 pgs.
PCT/US2009/045335, , “International Search Report”, dated Jul. 27, 2009, 1 pg.
PCT/US2009/052730, , “International Search Report”, dated Sep. 28, 2009, 1 pg.
PCT/US2010/050824, , “International Search Report”, dated Nov. 15, 2010, 2 pgs.
PCT/US2011/037018, , “International Search Report”, dated Sep. 27, 2011, 2 pgs.
PCT/US2011/061506, , “International Search Report”, dated Mar. 16, 2012, 1 pgs.
PCT/US2011/066938, , “International Search Report”, dated Jun. 20, 2012, 1 pg.
PCT/US2012066339, , “International Search Report”, dated Mar. 5, 2013, 1 pg.
PCT/US2013/028378, , “International Search Report and Written Opinion”, dated May 28, 2013, 11 pgs.
PCT/US2013/57924, , “International Search Report and Written Opinion”, dated Feb. 18, 2014, 8 pgs.
PCT/US2014/051926, , “International Search Report and Written Opinion”, dated Dec. 9, 2014, 3 pgs.
Pearson, K. , “On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling”, Philosophical Magazine Series 5, vol. 50, Issue 302, 1900, 157-175.
Pena, Sergio D.J et al., “Paternity Testing in the DNA Era”, Trends in Genetics, 10, 6, 1994, 204-209.
Pergament, E. et al., “Single-Nucleotide Polymorphism-Based Noninvasive Prenatal Screening in a High-Risk and Low-Risk Cohort”, Obstetrics & Gynecology, vol. 124, No. 2, Part 1, Aug. 2014, 210-218 + Appendices.
Perkel, Jeffrey M. , “Overcoming the Challenges of Multiplex PCR”, Biocompare Editorial Article, NULL, 2012, 1-5.
Perry, George H. et al., “The Fine-Scale and Complex Architecture of Human Copy-Number Variation”, The American Journal of Human Genetics,82, 2008, 685-695.
Pertl, B. et al., “Detection of Male and Female Fetal DNA in Maternal Plasma by Multiplex Fluorescent Polymerase Chain Reaction Amplification of Short Tandem Repeats”, Hum. Genet., 106, 2000, 45-49.
Peters, D. , “List of Materials Considered by David Peters, Ph.D.”, Jun. 13, 2019, 2 pages.
Peters, David P. et al., “Noninvasive Prenatal Diagnosis of a Fetal Microdeletion Syndrome”, New England Journal of Medicine, 365(19), 2011, 1847-1848.
Pfaffl, Michael W. , “Relative Expression Software Tool (REST ©) for Group-Wise Comparison and Statistical Analysis of Relative Expression Results in real-Time PCR”, Nucleic Acids Research, 30(9), 2002, 10 pgs.
Phillips, C. et al., “Resolving Relationship Tests that Show Ambiguous STR Results Using Autosomal SNPs as Supplementary Markers”, Forensic Science International: Genetics 2, 2008, 198-204.
Podder, Mohua et al., “Robust SN P genotyping by multiplex PCR and arrayed primer”, BMC Medical Genomics,1(5), 2008, 1-15.
Poirier, K. et al., “Maternal mosaicism for mutations in the ARX gene in a family with X linked mental retardation”, Human Genetics, vol. 118, Aug. 3, 2005, 45-48.
Poon, L. L. et al., “Differential DNA Methylation between Fetus and Mother as a Strategy for Detecting Fetal DNA in Maternal Plasma”, Clinical Chemistry, vol. 48, No. 1, 2002, 35-41.
Popova, T. et al., “Genome Alteration Print (GAP): a tool to visualize and mine complex cancer genomic profiles obtained by SNP arrays”, Genome Biology, vol. 10, R128, Nov. 11, 2009, 1-14.
Porreca, Gregory J et al., “Multiplex Amplification of Large Sets of Human Exons”, Nature Methods, 4, (advance online publication), 2007, 6.
Price, T.S. et al., ““SW-ARRAY: a dynamic programming solution for the identification of copy-number changes in genomic DNA using array comparative genome hybridization data”,”, Nucleic Acids Research, vol. 33, No. 11, Jun. 16, 2005, 3455-3464.
Primdahl, H. et al., “Allelic Imbalances in Human Bladder Cancer: Genome-Wide Detection With High-Density Single-Nucleotide Polymorphism Arrays”, Journal of the National Cancer Institute, vol. 94, No. 3, Feb. 6, 2002, 216-223.
Quinn, G. P. et al., “Experimental Design and Data Analysis for Biologists”, Graphical Exploration of Data, 2002, 64-67.
Rabinowitz, et al., “Accurate Prediction of HIV-1 Drug Response from the Reverse Transcriptase and Protease Amino Acid Sequences Using Sparse Models Created by Convex Optimization”, Bioinformatics, 22, 5, 2006, 541-549.
Rabinowitz, Matthew et al., “Origins and rates of aneuploidy inhuman blastomeres”, Fertility and Sterility, vol. 97, No. 2, Feb. 2012, 395-401.
Rabinowitz, Matthew. et al., “Non-Invasive Prenatal Aneuploidy Testing of Chromosomes 13, 18, 21, X, and Y Using Targeted Sequencing of Polymorphic Loci”, The American Society of Human Genetics, meeting poster, 2012, 1 pg.
Rachlin, J. et al., “Computational tradeoffs in multiplex PCR assay design for SNP genotyping”, BMC Genomics, vol. 6, No. 102, Jul. 25, 2005, 11 pages.
Ragoussis, J. , “Genotyping Technologies for Genetic Research”, Annual Review of Genomics and Human Genetics, vol. 10 (1), Sep. 1, 2009, 117-133.
Rahmann, Sven et al., “Mean and variance of the Gibbs free energy of oligonucleotides in the nearest neighbor model under varying conditions”, Bioinformatics, 20(17), 2004, 2928-2933.
Rava, Richard P. et al., “Circulating Fetal Cell-Free DNA Fraction Differ in Autosomal Aneuploidies and Monosomy X”, Clinical Chemistry, 60(1), (papers in press), 2013, 8 pgs.
Rechitsky, Svetlana et al., “Preimplantation Genetic Diagnosis with HLA Matching”, Reproductive Bio Medicine Online, 9, 2, 2004, 210-221.
Reinert, T. et al., “Analysis of circulating tumour DNA to monitor disease burden following colorectal cancer surgery”, Gut, vol. 65, 2016, 625-634.
Renwick, P. et al., “Proof of Principle and First Cases Using Preimplantation Genetic Haplotyping—A Paradigm Shift for Embryo Diagnosis”, Reproductive BioMedicine Online, 13 (1), 2006, 110-119.
Ricciotti, Hope , “Eating by Trimester”, Online]. Retrieved from Internet:<http://www.youandyourfamily.com/article.php?story=Eating+by+Trimester>, 2014, 3.
Riley, D. E. , “DNA Testing: An Introduction for Non-Scientists an Illustrated Explanation”, Scientific Testimony: An Online Journal, http://www.scientific.org/tutorials/articles/riley/riley.html, Apr. 6, 2005, 22 pages.
Riva, F. , “Patient-Specific Circulating Tumor DNA Detection during Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer”, Clinical Chemistry, vol. 63, No. 3, 2017, 691-699.
Rogaeva, E. et al., “The Solved and Unsolved Mysteries of the Genetics of Early-Onset Alzheimer's Disease”, NeuroMolecular Medicine, vol. 2, 2002, 1-10.
Roper, Stephen M. et al., “Forensic Aspects of DNA-Based Human Identity Testing”, Journal of Forensic Nursing, 4, 2008, 150-156.
Roux, K. , “Optimization and Troubleshooting in PCR”, PCR Methods Appl. 4, 1995, 185-194.
Rozen, Steve et al., “Primer3 on the WWW for General Users and for Biologis Programmers”, Methods in Molecular Biology, 132: Bioinformatics Methods and Protocols, 1999, 365-386.
Russell, L. M. , “X Chromosome Loss and Ageing”, Cytogenetic and Genome Res., 116, 2007, 181-185.
Ryan, A. et al., “Informatics-Based, Highly Accurate, Noninvasive Prenatal Paternity Testing”, Genetics in Medicine (advance online publication), 2012, 5 pgs.
Rychlik, et al., “Optimization of the annealing temperature for DNA amplification in vitro”, Nucleic Acids Research, 18(21), 1990, 6409-6412.
Sahota, A. , “Evaluation of Seven PCR-Based Assays for the Analysis of Microchimerism”, Clinical Biochemistry, vol. 31, No. 8., 1998, 641-645.
Saker, A. et al., “Genetic characterisation of circulating fetal cells allows non-invasive prenatal diagnosis of cystic fibrosis”, Prenatal Diagnosis, vol. 26, Jul. 11, 2006, 906-916.
Samango-Sprouse, C. et al., “SNP-Based Non-Invasive Prenatal Testing Detects Sex Chromosome Aneuploidies with High Accuracy”, Prenatal Diagnosis, 33, 2013, 1-7.
Sander, Chris , “Genetic Medicine and the Future of Health Care”, Science, 287(5460), 2000, 1977-1978.
Santalucia, J. et al., “The Thermodynamics of DNA Structural Motifs”, Annu. Rev. Biophys. Biomol. Struct., 33, 2004, 415-440.
Santalucia, John J.R et al., “Improved Nearest-Neighbor Parameters for Predicting DNA Duplex Stability”, Biochemistry, 35, 1996, 3555-3562.
Sasabe, Yutaka , “Genetic Diagnosis of Gametes and Embryos Resulting from ART”, Japanese Journal of Fertility and Sterility, vol. 46, No. 1, 2001, 43-46.
Schmitt, M. W. et al., “Detection of ultra-rare mutations by next-generation sequencing”, PNAS, vol. 109, No. 36, Sep. 4, 2012, 14508-14513.
Schoumans, J et al., “Detection of chromosomal imbalances in children with idiopathic mental retardation by array based comparative genomic hybridisation (array-CGH)”, JMed Genet, 42, 2005, 699-705.
Sebat, Jonathan et al., “Strong Association of De Novo Copy Number Mutations with Autism”, Science, 316, 2007, 445-449.
Sehnert, A. et al., “Optimal Detection of Fetal Chromosomal Abnormalities by Massively Parallel DNA Sequencing of Cell-Free Fetal DNA from Maternal Blood”, Clinical Chemistry (papers in press), 57 (7), 2011, 8 pgs.
Sermon, Karen et al., “Preimplantation genetic diagnosis”, The Lancet, Lancet Limited. 363(9421), 2000, 1633-1641.
Servin, B et al., “MOM: A Program to Compute Fully Informative Genotype Frequencies in Complex Breeding Schemes”, Journal of Heredity, vol. 93, No. 3, Jan. 1, 2002 (Jan. 1, 2002), pp. 227-228.
Sham, P. et al., “DNA Pooling: A Tool for Large-Scale Association Studies”, Nature Reviews Genetics, vol. 3, Nov. 2002, 862-871.
Shaw-Smith, et al., “Microarray Based Comparative Genomic Hybridisation (array-CGH) Detects Submicroscopic Chromosomal Deletions and Duplications in Patients with Learning Disability/Mental Retardation and Dysmorphic Features”, J. Med. Genet., 41, 2004, 241-248.
Shen, et al., “High-quality DNA sequence capture of 524 disease candidate genes”, High-quality DNA sequence capture of 524 disease candidate genes, Proceedings of the National Academy of Sciences, vol. 108, No. 16, Apr. 5, 2011 (Apr. 5, 2011), pp. 6549-6554.
Shen, R. et al., “High-throughput SNP genotyping on universal bead arrays”, Mutation Research, vol. 573, Feb. 11, 2005, 70-82.
Shen, Zhiyong , “MPprimer: a program for reliable multiplex PCR primer design”, BMC Bioinformatics 2010, 11:143, 1-7.
Sherlock, J et al., “Assessment of Diagnostic Quantitative Fluorescent Multiplex Polymerase Chain Reaction Assays Performed on Single Cells”, Annals of Human Genetics,62, 1, 1998, 9-23.
Shiroguchi, K. et al., “Digital RNA sequencing minimizes sequencedependent bias and amplification noise with optimized single-molecule barcodes”, PNAS, vol. 109, No. 4, Jan. 24, 2012, 1347-1352.
Sigdel, T. et al., “Plasma Donor-Derived Cell-Free DNA Quantification by massively multiplex PCR Distinguishes Kidney Transplant Acute Rejection”, Transplantation, vol. 102, No. 7S, Jul. 2018, S178-S179.
Sigdel, T. K. et al., “Optimizing Detection of Kidney Transplant Injury by Assessment of Donor-Derived Cell-Free DNA via Massively Multiplex PCR”, Journal of Clinical Medicine, vol. 8, No. 19, Dec. 23, 2018, 17 pages.
Simpson, J. et al., “Fetal Cells in Maternal Blood: Overview and Historical Perspective”, Annals New York Academy of Sciences, 731, 1994, 1-8.
Sint, Daniela et al., “Advances in Multiplex PCR: Balancing Primer Efficiencies and Improving Detection Success”, Methods in Ecology and Evolution, 3, 2012, 898-905.
Slater, Howard et al., “High-Resolution Identification of Chromosomal Abnormalities Using Oligonucleotide Arrays Containing 116,204 SNPs”, Am. J. Hum. Genet., 77, 5, 2005, 709-726.
Snijders, Antoine et al., “Assembly of Microarrays for Genome-Wide Measurement of DNA Copy Number”, Nature Genetic, 29, 2001, 263-264.
Snyder, T. M. et al., “Universal noninvasive detection of solid organ transplant rejection”, PNAS, vol. 108, No. 15, Apr. 12, 2011, 6229-6234.
Sparks, A. et al., “Non-Invasive Prenatal Detection and Selective Analysis of Cell-Free DNA Obtained from Maternal Blood: Evaluation for Trisomy 21 and Trisomy 18”, American Journal of Obstetrics & Gynecology 206, 2012, 319.e1-319.e9.
Sparks, Andrew B. et al., “Selective Analysis of Cell-Free DNA in Maternal Blood for Evaluation of Fetal Trisomy”, Prenatal Diagnosis, 32, 2012, 1-7.
Spiro, Alexander et al., “A Bead-Based Method for Multiplexed Identification and Quantitation of DNA Sequences Using Flow Cytometry”, Applied and Environmental Microbiology, 66, 10, 2000, 4258-4265.
Spits, C et al., “Optimization and Evaluation of Single-Cell Whole Genome Multiple Displacement Amplification”, Human Mutation, 27(5), 496-503, 2006.
Srinivasan, et al., “Noninvasive Detection of Fetal Subchromosome Abnormalities via Deep Sequencing of Maternal Plasma”, The American Journal of Human Genetics 92, 167-176, Feb. 7, 2013.
Stephens, Mathews. et al., “A Comparison of Bayesian Methods for Haplotype Reconstruction from Population Genotype Data”, Am. J. Hum. Genet.,73, 2003, 1162-1169.
Stevens, Robert et al., “Ontology-Based Knowledge Representation for Bioinformatics”, Briefings in Bioinformatics, 1, 4, 2000, 398-414.
Steyerberg, E.W et al., “Application of Shrinkage Techniques in Logistic Regression Analysis: A Case Study”, Statistica Neerlandica, 55(1), 2001, 76-88.
Strom, C. et al., “Three births after preimplantation genetic diagnosis for cystic fibrosis with sequential first and second polar body analysis”, American Journal of Obstetrics and Gynecology, 178 (6), 1998, 1298-1306.
Strom, Charles M. et al., “Neonatal Outcome of Preimplantation Genetic Diagnosis by Polar Body Removal: The First 109 Infants”, Pediatrics, 106( 4), 2000, 650-653.
Stroun, Maurice et al., “Prehistory of the Notion of Circulating Nucleic Acids in Plasma/Serum (CNAPS): Birth of a Hypothesis”, Ann. N.Y. Acad. Sci., 1075, 2006, 10-20.
Su, S.Y. et al., ““Inferring combined CNV/SNP haplotypes from genotype data””, Bioinformatics, vol. 26, No. 11,1, Jun. 1, 2010, 1437-1445.
Sun, Guihua et al., “SNPs in human miRNA genes affect biogenesis and function”, RNA, 15(9), 2009, 1640-1651.
Sweet-Kind Singer, J. A. et al., “Log-penalized linear regression”, IEEE International Symposium on Information Theory, 2003. Proceedings, 2003, 286.
Taliun, D. et al., “Efficient haplotype block recognition of very long and dense genetic sequences”, BMC Bioinformatics, vol. 15 (10), 2014, 1-18.
Tamura, et al., “Sibling Incest and formulation of paternity probability case report”, Legal Medicine, 2000, vol. 2, p. 189-196.
Tang, et al., , Multiplex fluorescent PCR for noninvasive prenatal detection of fetal-derived paternally inherited diseases using circulatory fetal DNA in maternal plasma, Eur J Obstet Gynecol Reprod Biol, 2009, v.144, No. 1, p. 35-39.
Tang, N. et al., “Detection of Fetal-Derived Paternally Inherited X-Chromosome Polymorphisms in Maternal Plasma”, Clinical Chemistry, 45 (11), 1999, 2033-2035.
Tebbutt, S. J. et al., “Microarray genotyping resource to determine population stratification in genetic association studies of complex disease”, BioTechniques, vol. 37, Dec. 2004, 977-985.
Ten Bosch, J. , “Keeping Up With the Next Generation Massively Parallel Sequencing in Clinical Diagnostics”, Journal of Molecular Diagnostics, vol. 10, No. 6, 2008, 484-492.
Tewhey, R. et al., “The importance of phase information for human genomics”, Nature Reviews Genetics, vol. 12, No. 3, Mar. 1, 2011, 215-223.
The International Hapmap Consort, , “The International HapMap Project”, Nature, vol. 426, Dec. 18, 2003, 789-796.
Thermofisher Scientific, , “Ion AmpliSeq Cancer Hotspot Panel v2”, Retrieved from the Internet https://tools.thermofisher.com/content/sfs/brochures/Ion-AmpliSeq-Cancer-Hotspot-Panel-Flyer.pdf, 2015, 2 pages.
Thomas, M.R et al., “The Time of Appearance and Disappearance of Fetal DNA from the Maternal Circulation”, Prenatal Diagnosis, 15, 1995, 641-646.
Tiersch, T. R. et al., “Reference Standards for Flow Cytometry and Application in Comparative Studies of Nuclear DNA Content”, Cytometry, vol. 10, Mar. 21, 1989, 706-710.
Tong, Yu et al., “Noninvasive Prenatal Detection of Fetal Trisomy 18 by Epigenetic Allelic Ratio Analysis in Maternal Plasma: Theoretical and Empirical Considerations”, Clinical Chemistry, 52(12), 2006, 2194-2202.
Tong, Yu K. et al., “Noninvasive Prenatal Detection of Trisomy 21 by Epigenetic-Genetic Chromosome-Dosage Approach”, Clinical Chemistry, 56(1), 2010, 90-98.
Troyanskaya, Olga G. et al., “A Bayesian Framework for Combining Heterogeneous Data Sources for Gene Function Prediction (in Saccharomyces cerevisiae)”, PNAS, 100(14), 2003, 8348-8353.
Tsui, Nancy B.Y et al., “Non-Invasive Prenatal Detection of Fetal Trisomy 18 by RNA-SNP Allelic Ratio Analysis Using Maternal Plasma SERPINB2 mRNA: A Feasibility Study”, Prenatal Diagnosis, 29, 2009, 1031-1037.
Tu, J. et al., “Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis”, BMC Genomics, vol. 13, No. 43, Jan. 25, 2012, 1-9.
Turner, E. et al., “Massively Parallel Exon Capture and Library-Free Resequencing Across 16 Genomes”, Nature Methods, 6 (5), 2009, 315-316.
Tynan, J. A. et al., “Restriction Enzyme-Mediated Enhanced Detection of Circulating Cell-Free Fetal DNA in Maternal Plasma”, The Journal of Molecular Diagnostics, vol. 13, No. 4, Jul. 2011, 382-389.
Vallone, Peter , “AutoDimer: a Screening Tool for Primer-Dimer and Hairpin Structures”, Bio Techniques, 37, 2004, 226-231.
Varley, Katherine Elena et al., “Nested Patch PCR Enables Highly Multiplexed Mutation Discovery in Candidate Genes”, Genome Res., 18(11), 2008, 1844-1850.
Verlinsky, Y. et al., “Over a Decade of Experience with Preimplantation Genetic Diagnosis”, Fertility and Sterility, 82 (2), 2004, 302-303.
Wagner, Jasenka et al., “Non-Invasive Prenatal Paternity Testing from Maternal Blood”, Int. J. Legal Med., 123, 2009, 75-79.
Wang, D. G. et al., “Large-Scale Identification, Mapping, and Genotyping of Single-Nucleotide Polymorphisms in the Human Genome”, Science, vol. 280, May 15, 1998, 1077-1082.
Wang, Eric et al., “Gestational Age and Maternal Weight Effects on Fetal Cell-Free DNA in Maternal Plasma”, Prenatal Diagnosis, 33, 2013, 662-666.
Wang, Hui-Yun et al., “A genotyping system capable of simultaneously analyzing >1000 single nucleotide polymorphisms in a haploid genome”, Genome Res., 15, 2005, 276-283.
Wang, T.L. et al., “Digital karyotyping”, PNAS, vol. 99, No. 25, Dec. 10, 2002, 16156-16161.
Wang, Yuker et al., “Allele quantification using molecular inversion probes (MIP)”, Nucleic Acids Research, vol. 33, No. 21, Nov. 28, 2005, 14 pgs.
Wapner, R. et al., “Chromosomal Microarray Versus Karyotyping for Prenatal Diagnosis”, The New England Journal of Medicine, 367 (23), 2012, 2175-2184.
Wapner, R. et al., “First-Trimester Screening for Trisomies 21 and 18”, The New England Journal of Medicine, vol. 349, No. 15, Oct. 9, 2003, 1405-1413.
Watkins, N. et al., “Thermodynamic contributions of single internal rA ⋅dA, rC ⋅ dC, rG ⋅ dG and rU ⋅ dT mismatches in RNA/DNA duplexes”, Nucleic Acids Research, 9 (5),, 2010, 1894-1902.
Weiss, C. A. , “Chapter 8: Confidence Intervals for One Population Mean”, Introductory Statistics, Sixth Edition, 2002, 340-381.
Wells, D , “Microarray for Analysis and Diagnosis of Human Embryos”, 12th International Congress on Prenatal Diagnosis and Therapy, Budapest, Hungary, 2004, 9-17.
Wells, Dagan , “Advances in Preimplantation Genetic Diagnosis”, European Journal of Obstetrics and Gynecology and Reproductive Biology, 115S, 2004, S97-S101.
Wells, Dagan , “Detailed Chromosomal and Molecular Genetic Analysis of Single Cells by Whole Genome Amplification and Comparative Genomic Hybridisation”, Nucleic Acids Research, 27, 4, 1999, 1214-1218.
Wen, Daxing et al., “Universal Multiples PCR: A Novel Method of Simultaneous Amplification of Multiple DNA Fragments”, Plant Methods, 8(32), Null, 2012, 1-9.
Wikipedia, , “Buffy coat”, Retrieved from “https://en.wikipedia.orgJw/index.php?title=Buffy_coat&oldid=900992886”, Jun. 9, 2019, 2 pgs.
Wikipedia, , “Maximum a posteriori estimation”, https://en.wikipedia.org/w/index.php?title=Maximum_a_posteriori_estimation&oldid=26878808, [retrieved on Aug. 1, 2017], Oct. 30, 2005, 2 pages.
Wilton, et al., “Birth of a Healthy Infant After Preimplantation Confirmation of Euploidy by Comparative Genomic Hybridization”, N. Engl. J. Med., 345(21), 2001, 1537-1541.
Wilton, L. , “Preimplantation Genetic Diagnosis and Chromosome Analysis of Blastomeres Using Comparative Genomic Hybridization”, Human Reproduction Update, 11 (1), 2005, 33-41.
Wong, K. K. et al., “Allelic imbalance analysis by high-density single nucleotide polymorphic allele (SNP) array with whole genome amplified DNA”, Nucleic Acids Research, vol. 32, No. 9, May 17, 2004, 8 pages.
Wright, C. et al., “The use of cell-free fetal nucleic acids in maternal blood for non-invasive prenatal diagnosis”, Human Reproduction Update, vol. 15, No. 1, 2009, 139-151.
Wright, C. F. et al., “Cell-free fetal DNA and RNA in maternal blood implications for safer antenatal testing”, BMJ, vol. 39, Jul. 18, 2009, 161-165.
Wu, Y. Y. et al., “Rapid and/or high-throughput genotyping for human red blood cell, platelet and leukocyte antigens, and forensic applications”, Clinica Chimica Acta, vol. 363, 2006, 165-176.
Xia, Tianbing et al., “Thermodynamic Parameters for an Expanded Nearest-Neighbor Model for Formation of RNA Duplexes with Watson-Crick Base Pairs”, Biochemistry, 37, 1998, 14719-14735.
Xu, N. et al., “A Mutation in the Fibroblast Growth Factor Receptor 1 Gene Causes Fully Penetrant Normosmic Isolated Hypogonadotropic Hypogonadism”, The Journal of Clinical Endocrinology & Metabolism, vol. 92, No. 3, 2007, 1155-1158.
Xu, S. et al., “Circulating tumor DNA identified by targeted sequencing in advanced-stage non-small cell lung cancer patients”, Cancer Letters, vol. 370, 2016, 324-331.
Yeh, Iwei et al., “Knowledge Acquisition, Consistency Checking and Concurrency Control for Gene Ontology (GO)”, Bioinformatics, 19, 2, 2003, 241-248.
You, Frank M. et al., “BatchPrimer3: A high throughput web application for PCR and sequencing primer design”, BMC Bioinformatics, Biomed Central, London, GB, vol. 9, No. 1, May 29, 2008 (May 29, 2008), p. 253.
Yuan, X. et al., “Probability Theory-based SNP Association Study Method for Identifying Susceptibility Loci and Genetic Disease Models in Human Case-Control Data”, IEEE Trans Nanobioscience, vol. 9, No. 4, Dec. 2010, 232-241.
Zhang, L. et al., “Whole genome amplification from a single cell: Implications for genetic analysis”, Proc. Nat'L Acad. Sci. USA, vol. 89, Jul. 1992, 5847-5851.
Zhang, Rui et al., “Quantifying RNA allelic ratios by microfluidic multiplex PCR and sequencing”, Nature Methods, 11(1), 2014, 51-56.
Zhao, Xiaojun et al., “An Integrated View of Copy Number and Allelic Alterations in the Cancer Genome Using Single Nucleotide Polymorphism Arrays”, Cancer Research,64, 2004, 3060-3071.
Zhong, X. et al., “Risk free simultaneous prenatal identification of fetal Rhesus D status and sex by multiplex real-time PCR using cell free fetal DNA in maternal plasma”, Swiss Medical Weekly, vol. 131, Mar. 2001, 70-74.
Zhou, W. et al., “Counting Alleles Reveals a Connection Between Chromosome 18q Loss and Vascular Invasion”, Nature Biotechnology, 19, 2001, 78-81.
Zimmermann, et al., “Noninvasive Prenatal Aneuploidy Testing of Chromosomes 13, 18, 21 X, and Y, Using targeted Sequencing of Polymorphic Loci”, Prenatal Diagnosis, 32, 2012, 1-9.
Zimmermann, B. , “Noninvasive prenatal aneuploidy testing of chromosomes 13, 18, 21, X, and Y, using targeted sequencing of polymorphic loci, Supplemental Information”, Prenatal Diagnosis, vol. 32, 2012, 7 pages.
Wang, W.-P. et al., “Multiplex single nucleotide polymorphism genotyping by adapter ligation-mediated allele-specific amplification”, Analytical Biochemistry, vol. 355, May 5, 2006, 240-248.
Andras, S. C. et al., “Strategies for Signal Amplification in Nucleic Acid Detection”, Molecular Biotechnology, vol. 19, 2001, 29-44.
Bai, H. et al., “Detection and Clinical Significance of Intratumoral EGFR Mutational Heterogeneity in Chinese Patients with Advanced Non-Small Cell Lung Cancer”, PLOS One, vol. 8, No. 2, Feb. 2013, 7 pages.
Diehl, F. et al., “Detection and quantification of mutations in the plasma of patients with colorectal tumors”, PNAS, vol. 102, No. 45, Nov. 8, 2005, 16368-16373.
Fouquet, C. et al., “Rapid and Sensitive p53 Alteration Analysis in Biopsies from Lung Cancer Patients Using a Functional Assay and a Universal Oligonudeotide Array: A Prospective Study”, Clinical Cancer Research, vol. 10, May 15, 2004, 3479-3489.
Spertini, D. et al., “Screening of Transgenic Plants by Amplification of Unknown Genomic DNA Flanking T-DNA”, BioTechniques, vol. 27, Aug. 1999, 308-314.
Allan, J. et al., “Micrococcal Nuclease Does Not Substantially Bias Nucleosome Mapping”, Journal of Molecular Biology, vol. 417, Jan. 30, 2012, 152-164.
Beck, J. et al., “Digital Droplet PCR for Rapid Quantification of Donor DNA in the Circulation of Transplant Recipients as a Potential Universal Biomarker of Graft Injury”, Clinical Chemistry, vol. 59, No. 12, 2013, 1732-1741.
Cheung, V. G. et al., “Whole genome amplification using a degenerate oligonucleotide primer allows hundreds of genotypes to be performed on less than one nanogram of genomic DNA”, Proceedings of the National Academy of Sciences, USA, vol. 93, Dec. 1996, 14676-14679.
Dawson, S.J. et al., “Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer”, The New England Journal of Medicine, vol. 368, No. 13, Mar. 28, 20136, 1199-1209.
Diehl, F. et al., “Circulating mutant DNA to assess tumor dynamics”, Nature Medicine, vol. 14, No. 9, Jul. 31, 2008, 985-990.
Gielis, E. M. et al., “Plasma donor-derived cell-free DNA kinetics after kidney transplantation using a single tube multiplex PCR assay”, PLOS One, vol. 13, No. 12, e0208207, Dec. 6, 2018, 16 pgs.
Grskovic, M. et al., “Validation of a Clinical-Grade Assay to Measure Donor-Derived Cell-Free DNA in Solid Organ Transplant Recipients”, The Journal of Molecular Diagnostics, vol. 18, No. 6 + Supplemental Appendix S1, Nov. 2016, 890-902.
Imielinski, M. et al., “Mapping the Hallmarks of Lung Adenocarcinoma with Massively Parallel Sequencing”, Cell, vol. 150, Sep. 14, 2012, 1107-1120.
Lindberg, J. et al., “Exome Sequencing of Prostate Cancer Supports the Hypothesis of Independent Tumour Origins”, European Urology, vol. 63, 2013, 347-353.
NCBI, , “dbSNP record for rs1294331”, Retrieved from the Internet: <URL: www.ncbi.nlm.nih.gov/snp/?term=rs 1294331 >, 2019, 2 pgs.
NCBI, , “dbSNP record for rs1872575”, Retrieved from the Internet: <URL: www.ncbi.nlm.nih.gov/snp/?term=rs1872575, 2019, 2 pgs.
NCBI, , “dbSNP record for rs2362450”, Retrieved from the Internet: <URL: www.ncbi.nlm.nih.gov/snp/?term=rs2362450>, 2019, 1 pg.
NCBI, , “dbSNP record for rs2384571”, Retrieved from the Internet: <URL: www.ncbi.nlm.nih.gov/snp/?term=rs2384571>, 2019, 2 pgs.
NCBI, , “dbSNP record for rs2498982”, Retrieved from the Internet: <URL: www.ncbi.nlm.nih.gov/snp/?term=rs2498982>, 2019, 3 pgs.
NCBI, , “dbSNP record for rs3731877”, Retrieved from the Internet: <URL: www.ncbi.nlm.nih.gov/snp/?term=rs3731877>, 2019, 2 pgs.
Schwarzenbach, H. et al., “Cell-free nucleic acids as biomarkers in cancer patients”, Nature Reviews: Cancer, vol. 11, Jun. 2011, 426-437.
Shi, H. et al., “Melanoma whole-exome sequencing identifies V600E B-RAF amplification-mediated acquired B-RAF inhibitor resistance”, Nature Communications, vol. 3, No. 724, Mar. 6, 2012, 8 pages.
Takano, T. et al., “Epidermal Growth Factor Receptor Gene Mutations and Increased Copy Numbers Predict Gefitinib Sensitivity in Patients With Recurrent Non-Small-Cell Lung Cancer”, Journal of Clinical Oncology, vol. 23, No. 28, Oct. 1, 2005, 6829-6837.
Tounta, G. et al., “A Multiplex PCR for Non-invasive Fetal RHD Genotyping Using Cell-free Fetal DNA”, in vivo, vol. 25, 2011, 411-418.
Tzimagiorgis, G. et al., “Recovering circulating extracellular or cell-free RNA from bodily fluids”, Cancer Epidemiology, vol. 35, 2011, 580-589.
Wapner, R. J. et al., “Expanding the scope of noninvasive prenatal testing: detection of fetal microdeletion syndromes”, American Journal of Obstetrics & Gynecology, vol. 212, Dec. 17, 2014, 1.e1-1.e9.
Widlak, P. et al., “Cleavage Preferences of the Apoptotic Endonuclease DFF 40 (Caspase˜activated DNase or Nuclease) on Naked DNA and Chromatin Substrates”, The Journal of Biological Chemistry, vol. 275, No. 11, Mar. 17, 2000, 8228-8232.
Yung, T. K. et al., “Single-Molecule Detection of Epidermal Growth Factor Receptor Mutations in Plasma by Microfluidics Digital PCR in Non-Small Cell Lung Cancer Patients”, Clinical Cancer Research, vol. 15, Mar. 10, 2009, 2076-2084.
Zachariah, R. et al., “Circulating cell-free DNA as a potential biomarker for minimal and mild endometriosis”, Reproductive BioMedicine Online, vol. 18, No. 3, Jan. 27, 2009, 4007-411.
“Abstracts for CNAPS III Circulating Nucleic Acids in Plasma and Serum and Serum Proteomics”, Clinical Chemistry, vol. 49, No. 11, 2003, 33 pages.
“Abstracts for CNAPS IV Circulating Nucleic Acids in Plasma/Serum”, Fourth International Conference on Circulating Nucleic Acids in Plasma/Serum (CNAPS-IV), 2005, 40 pages.
Abaan, O. D. et al., “The Exomes of the NCI-60 Panel: A Genomic Resource for Cancer Biology and Systems Pharmacology”, Cancer Res., vol. 73, No. 14, Jul. 15, 2013, 4372-4382.
Abd-Elsalam, Kamel A. , “Bioinformatic Tools and Guideline for PCR Primer Design”, African Journal of Biotechnology, vol. 2, 2003, pp. 91-95.
Adalsteinsson, V. A. et al., “Scalable whole-exome sequencing of cell-free DNA reveals high concordance with metastatic tumors”, Nature Communications, vol. 18, No. 1324, 2017, 13 pages.
Adinolfi, M. et al., “Rapid Detection of Aneuploidies by Microsatellite and the Quantitative Fluorescent Polymerase Chain Reaction”, Prenatal Diagnosis, vol. 17, No. 13, 1997, 1299-1311.
Agbor-Enoh, S. et al., “Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation”, EBioMedicine, vol. 40, 2019, 541-553.
Ambardar, S. et al., “High Throughput Sequencing: An Overview of Sequencing Chemistry”, Indian J. Microbiol., vol. 56, No. 4, 2016, 394-404.
Amicucci, P. et al., “Prenatal Diagnosis of Myotonic Dystrophy Using Fetal DNA Obtained from Maternal Plasma”, Clinical Chemistry, vol. 46, No. 2, 2000, 301-302.
Anker, P. et al., “Circulating DNA in Plasma or Serum”, Medicina, vol. 60, 2000, 699-702.
Anker, P. et al., “The Second International Symposium on Circulating Nucleic Acids in Plasma and Serum (CNAPS-2) held in conjunction with the 6th Annual Scientific Symposium of the Hong Kong Cancer Institute”, Clinical Chemistry, vol. 47, No. 2, 2001, 361-370.
Arandjelovic, M. et al., “Two-Step Multiplex Polymerase Chain Reaction improves the Speed and Accuracy of Genotyping Using DNA from Noninvasive and Museum Samples”, Molecular Ecology Resources, vol. 9, 2009, pp. 28-36.
Auld, D. S. , “Use of Chelating Agents to Inhibit Enzymes”, Methods in Enzymology, vol. 158, 1988, 110-114.
Avgidou, K. et al., “Prospective first-trimester screening for trisomy 21 in 30,564 pregnancies”, American Journal of Obstetrics and Gynecology, vol. 192, 2005, 1761-1767.
Balavoine, Guillaume , “Identification of Members of Several Homeobox Genes in a Planarian Using a Ligation-Mediated Polymerase Chain Reaction Technique”, Nucleic Acids Research, vol. 24, 1996, pp. 1547-1553.
Bale, J. R. et al., “Reducing Birth Defects: Meeting the Challenge in the Developing World”, Institute of Medicine of the National Academies, 2003, 270 pgs.
Banfi, G. et al., “The role of ethylenediamine tetraacetic acid (EDTA) as in vitro anticoagulant for diagnostic purposes”, Clin. Chem., vol. 45, No. 5, 2007, 565-576.
Barra, G. B. et al., “EDTA-mediated inhibition of DNases protects circulating cell-free DNA from ex vivo degradation in blood samples”, Clinical Biochemistry, vol. 48, 2015, 976-981.
Barski, A. et al., “High-Resolution Profiling of Histone Methylations in the Human Genome”, Cell, vol. 129, May 18, 2007, 823-837.
Bartlett, John M. et al., “PCR Protocols”, PCR Protocols, vol. 226, 2003, 519 pages.
Bashashati, A. et al., “Distinct evolutionary trajectories of primary high-grade serous ovarian cancers revealed through spatial mutational profiling”, Journal of Pathology, vol. 231, 2013, 21-34.
Bauer, M. et al., “A prospective analysis of cell-free fetal DNA concentration in maternal plasma as an indicator for adverse pregnancy outcome”, Prenatal Diagnosis, vol. 26, 2006, 831-836.
Baxter, L. L. et al., “Discovery and genetic localization of Down syndrome cerebellar phenotypes using the Ts65Dn mouse”, Human Molecular Genetics, vol. 9, No. 2, Jan. 2000, 195-202.
Beck, J. et al., “Profile of the Circulating DNA in Apparently Healthy Individuals”, Clinical Chemistry, vol. 55, No. 4, 2009, 730-738.
Benjamini, Y. et al., “Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing”, Journal of the Royal Statistical Society, Series B (Methodological), vol. 57, No. 1, 1995, 289-300.
Bennett, S. T. et al., “Toward the $1000 human genome”, Pharmacogenomics, vol. 6, No. 4, 2005, 373-382.
Bergen, A. W. et al., “Effects of DNA mass on multiple displacement whole genome amplification and genotyping performance”, BMC Biotechnology, vol. 5, No. 24, Sep. 16, 2005, 11 pgs.
Bianchi, D W. et al., “Insights Into Fetal and Neonatal Development Through Analysis of Cell-Free RNA in Body Fluids”, Early Human Development, vol. 86, No. 11, Nov. 2010, 747-752.
Binladen, J. et al., “The Use of Coded PCR Primers Enables High-Throughput Sequencing of Multiple Homolog Amplification Products by 454 Parallel Sequencing”, PLOS One, Issue 2, Feb. 2007, 9 pages.
Bischoff, F. Z. et al., “Cell-free fetal DNA in maternal blood: kinetics, source and structure”, Human Reproduction Update, vol. 11, No. 1, 2005, 59-67.
Bischoff, F. Z. et al., “Intact fetal cells in maternal plasma: are they really there?”, Lancet, vol. 361, 2003, 139-140.
Blomquist, T M. et al., “Targeted RNA-Sequencing with Competitive Multiplex-PCR Amplicon Libraries”, Plos One, vol. 8, Issue 11, Nov. 2013, 14 pages.
Blow, N. , “The personal side of genomics”, Nature, vol. 449, Oct. 4, 2007, 627-630.
Board, R.E. et al., “Detection of BRAF mutations in the tumour and serum of patients enrolled in the AZD6244 (ARRY-142886) advanced melanoma phase II study”, British Journal of Cancer, vol. 101, 2009, 1724-1730.
Boudsocq, F. et al., “Sulfolobus solfataricus P2 DNA polymerase IV (Dpo4): an archael DinB-like DNA polymerase with lesion-bypass properties akin to eukaryotic poln”, Nucleic Acids Research, vol. 29, No. 22, 2001, 4607-4616.
Bouma, B. N. et al., “Human Blood Coagulation Factor”, The Journal of Biological Chemistry, vol. 252, No. 18, 1977, 6432-6437.
Brinza, D. et al., “2SNP: scalable phasing based on 2-SNP haplotypes”, Bioinformatics, vol. 22, No. 3, 2006, 371-373.
Broude, N E. et al., “High-Level Multiplex DNA Amplification”, Antisense & Nucleic Acid Drug Development, vol. 11, 2001, 327-332.
Broude, N. E. et al., “High Multiplexity PCR Based on PCR Suppression”, DNA Amplification Current Technologies and Applications, 2004, 61-76.
Broude, N. E. et al., “Multiplex Allele-specific Target Amplification based on PCR Suppression”, PNAS, vol. 98, No. 1, Jan. 2, 2001, 206-211.
Browning, S. R. et al., “Rapid and Accurate Haplotype Phasing and Missing-Data Inference for Whole-Genome Association Studies by Use of Localized Haplotype Clustering”, The American Journal of Human Genetics, vol. 81, Nov. 2007, 1084-1097.
Bryant, A. P. , “Terminology of Sugars”, Ind. Eng. Chem., vol. 26, No. 2, 1933, 231.
Burkey, B. F. et al., “Hepatic apolipoprotein J is secreted as a lipoprotein”, Journal of Lipid Research, vol. 33, 1992, 1517-1526.
Calin, G. A. et al., “A MicroRNA Signature Associated with Prognosis and Progression in Chronic Lymphocytic Leukemia”, N Engl J Med, vol. 353, 2005, 1793-1801.
Campbell, P. J. et al., “Subclonal phylogenetic structures in cancer revealed by ultra-deep sequencing”, PNAS, vol. 105, No. 35, Sep. 2, 2008, 13081-13086.
Canick, J. A. et al., “The impact of maternal plasma DNA fetal fraction on next generation sequencing tests for common fetal aneuploidies”, Prenatal Diagnosis, vol. 33, 2013, 667-674.
Cao, Y. et al., “Clinical Evaluation of Branched DNA Signal Amplification for Quantifying HIV Type 1 in Human Plasma”, AIDS Research and Human Retroviruses, vol. 11, No. 3, 1995, 353-361.
Chavali, Sreenivas et al., “Oligonucleotide Properties Determination and Primer Designing: A Critical Examination of Predictions”, Bioinformatics, vol. 21, 2005, pp. 3918-3925.
Chen, Bing-Yuan et al., “PCR Cloning Protocols”, PCR Cloning Protocols, vol. 192, 2002, 434 pages.
Chen, C. P. et al., “Fetal DNA in maternal plasma: the prenatal detection of a paternally inherited fetal aneuploidy”, Prenatal Diagnosis, vol. 20, 2000, 353-357.
Chim, S. S. et al., “Detection and Characterization of Placental MicroRNAs in Maternal Plasma”, Clinical Chemistry, vol. 54, No. 3, 2008, 482-490.
Chinnapapagari, S. K. et al., “Treatment of Maternal Blood Samples with Formaldehyde Does Not Alter the Proportion of Circulatory Fetal Nucleic Acids (DNA and mRNA) in Maternal Plasma”, Clinical Chemistry, vol. 51, No. 3, 2005, 653-655.
Chitty, L. S. et al., “Noninvasive Prenatal Screening for Genetic Diseases Using Massively Parallel Sequencing of Maternal Plasma DNA”, Cold Spring Harbor Perspectives in Medicine, vol. 5, No. 9, 2015, 20 pages.
Chiu, R.W.K. et al., “Hypermethylation of RASSF1A in Human and Rhesus Placentas”, The American Journal of Pathology, vol. 170, No. 3, Mar. 2007, 941-950.
Choi, Y. et al., “Comparison of phasing strategies for whole human genomes”, PLOS Genetics, Apr. 5, 2018, 26 pages.
Chung, G. T. et al., “Lack of Dramatic Enrichment of Fetal DNA in Maternal Plasma by Formaldehyde Treatment”, Clinical Chemistry, vol. 51, No. 3, 2005, 655-658.
Ciriello, G. et al., “Emerging landscape of oncogenic signatures across human cancers”, Nature Genetics, vol. 45, No. 10, Oct. 2013, 1127-1135.
Clausen, F. B. et al., “Improvement in fetal DNA extraction from maternal plasma. Evaluation of the NucliSens Magnetic Extraction system and the QIAamp DSP Virus Kit in comparison with the QIAamp DNA Blood Mini Kit”, Prenatal Diagnosis, vol. 27, 2007, 6-10.
Couraud, S. et al., “Noninvasive Diagnosis of Actionable Mutations by Deep Sequencing of Circulating Free DNA in lung Cancer from Never-Smokers: A Proof-of-Concept Study from BioCAST / IFCT-1002”, Clinical Cancer Research, vol. 20, No. 17, Jul. 10, 2014, 4613-4624.
Couraud, S. et al., “Supplementary Data for Noninvasive Diagnosis of Actionable Mutations by Deep Sequencing of Circulating Free DNA in lung Cancer from Never-Smokers: A Proof-of-Concept Study from BioCAST / IFCT-1002”, 2014, 13 pages.
Cronn, R. et al., “Multiplex sequencing of plant chloroplast genomes using Solexa sequencing-by-synthesis technology”, Nucleic Acids Research, vol. 36, No. 19, Aug. 27, 2008, 11 pgs.
Cunningham, K. S. et al., “An approach to endomyocardial biopsy interpretation”, Journal of Clinical Pathology, vol. 59, No. 2, Mar. 2006, 121-129.
De Jong, M. M. et al., “Genes other than BRCA 1 and BRCA2 involved in breast cancer susceptibility”, J. Med. Genet., vol. 39, 2009, 225-242.
Deb, Mahua et al., “Development of a Multiplexed PCR Detection Method for Barley and Cereal Yellow Dwarf Viruses, Wheat Spindle Streak Virus, Wheat Streak Mosaic Virus and Soil-Borne Wheat Mosaic Virus”, Journal of Virological Methods, vol. 148, 2008, pp. 17-24.
Delaneau, O. et al., “Shape-IT: new rapid and accurate algorithm for haplotype inference”, BMC Bioinformatics, vol. 9, No. 540, Dec. 16, 2008, 14 pages.
Di, X. et al., “Dynamic model based algorithms for screening and genotyping”, Bioinformatics, vol. 21, No. 9, 2005, 1958-1963.
Dias-Santagata, D. et al., “BRAF V600E Mutations Are Common in Pleomorphic Xanthoastrocytoma: Diagnostic and Therapeutic Implications”, PLoS One, vol. 6, No. 3, Mar. 2011, 9 pages.
Dickover, R. E. et al., “Optimization of Specimen-Handling Procedures for Accurate Quantitation of Levels of Human Immunodeficiency Virus RNA in Plasma by Reverse Transcriptase PCR”, Journal of Clinical Microbiology, vol. 36, No. 4, 1998, 1070-1073.
Ding, C. et al., “MS analysis of single-nucleotide differences in circulating nucleic acids: Application to noninvasive prenatal diagnosis”, PNAS, vol. 101, No. 29, Jul. 20, 2004, 10762-10767.
Dorit, D. L. , “cDNA Amplification Using One-sided (Anchored) Pcr”, Current Protocols in Molecular Biology, vol. 17, 1992, pp. 15.6.1-15.6.10.
Dorit, Robert L. et al., “One-sided Anchored Polymerase Chain Reaction for Amplification and Sequencing of Complementary DNA”, Methods in Enzymology, vol. 218., 1993, pp. 36-47.
Dowd, P. et al., “On the mechanism of the anticlotting action of vitamin R quinone”, Proc. Natl. Acad. Sci. USA, vol. 92, 1995, 8171-8175.
Downward, J. , “Targeting RAS Signalling Pathways in Cancer Therapy”, Nature Reviews, vol. 3, Jan. 2003, 11-22.
Dressman, D. et al., “Transforming single DNA molecules into fluorescent magnetic particles for detection and enumeration of genetic variations”, PNAS, vol. 100, No. 15, Jul. 22, 2003, 8817-8822.
Edwards, M. C. et al., “Multiplex PCR: Advantages, Development, and Applications”, Genome Research, vol. 3, 1994, S65-S75.
Efron, B. et al., “Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy”, Statistical Science, vol. 1, No. 1, 1986, 54-77.
Elnifro, Elfath M. , “Multiplex PCR: Optimization and Application in Diagnostic Virology”, Clinical Microbiology Reviews, vol. 13, 2000, pp. 559-570.
Eltoukhy, H. et al., “Modeling and Base-Calling for DNA Sequencing-By-Synthesis”, IEEE, 2006, II-1032-II-1035.
Erijman, Ariel et al., “Transfer-PCR (TPCR): A Highway for DNA Cloning and Protein Engineering”, Journal of Structural Biology, vol. 175, 2011, pp. 171-177.
Erlich, R. L. et al., “Next-generation sequencing for HLA typing of class loci”, BMC Genomics, vol. 12, No. 42, 2011, 13 pages.
Eronen, L. et al., “HaploRec: efficient and accurate large-scale reconstruction of haplotypes”, BMC Bioinformatics, vol. 7, No. 542, Dec. 22, 2006, 18 pages.
European Commission, , “The 7th International Conference on Circulating Nucleic Acids in Plasma and Serum (CNAPS VII) in Madrid—Spain”, The International Conference on Circulating Nucleic Acids in Plasma and Serum, Oct. 24, 2011, 2 pgs.
Fackenthal, J. D. et al., “Aberrant RNA splicing and its functional consequences in cancer cells”, Disease Models & Mechanisms, vol. 1, 2008, 37-42.
Faham, M. et al., “Deep-sequencing approach for minimal residual disease detection in acute lymphoblastic leukemia”, Blood Journal, vol. 120, No. 26, Dec. 20, 2012, 5173-5180.
Falcon, O. , “Screening for trisomy 21 by fetal tricuspid regurgitation, nuchal translucency and maternal serum free b-hCG and PAPP-A at 11 + 0 to 13 + 6 weeks”, Ultrasound Obstet Gynecol, vol. 27, 2006, 151-155.
Fan, C H. et al., “Detection of Aneuploidy with Digital Polymerase Chain Reaction”, Analytical Chemistry, vol. 79, No. 19, Oct. 1, 2007, 7576-7579.
Fan, H. C. et al., “In Principle Method for Noninvasive Determination of the Fetal Genome”, Nat. Prec., 2010, 16 pgs.
Fan, J.-B. et al., “Highly Parallel SNP Genotyping”, Cold Spring Harbor Symposia on Quantitative Biology, vol. LXVIII, Feb. 2003, 69-78.
Fortina, P. et al., “Detection of the most common mutations causing beta-thalassemia in Mediterraneans using a multiplex amplification refractory mutation system (MARMS)”, Genome Res., vol. 2, 1992, 163-166.
Fortina, P. et al., “DOP-PCR Amplification of Whole Genomic DNA and Microchip-Based Capillary Electrophoresis”, Methods in Molecular Biology: Capillary Electrophoresis of Nucleic Acids, vol. II Practical Applications of Capillary Electrophoresis, 2001, 211-219.
Frohman, M A. et al., “On Beyond Classic RACE (Rapid Amplification of cDNA Ends)”, Genome Research, vol. 4, 1994, S40-S58.
Gadi, V. K. et al., “Soluble Donor DNA Concentrations in Recipient Serum Correlate with Pancreas-Kidney Rejection”, Clinical Chemistry, vol. 52, No. 3, 2006, 379-382.
Gao, F. et al., “Characterizing Immunoglobulin Repertoire from Whole Blood by a Personal Genome Sequencer”, PLOS One, vol. 8, No. 9, Sep. 13, 2013, 8 pgs.
Gao, Ming et al., “Characterization of dull1, a Maize Gene Coding for a Novel Starch Synthase”, The Plant Cell, vol. 10, 1998, pp. 399-412.
Garcia Moreira, V. et al., “Cell-Free DNA as a Noninvasive Acute Rejection Marker in Renal Transplantation”, Clinical Chemistry, vol. 55, No. 11, 2009, 1958-1966.
Gautier, E. et al., “Fetal RhD genotyping by maternal serum analysis: A two-year experience”, American Journal of Obstetrics and Gynecology, vol. 192, 2005, 666-669.
Gnirke, A. et al., “Solution hybrid selection with ultra-long oligonucleotides for massively parallel targeted sequencing”, Nature Biotechnology, vol. 27, No. 2, Feb. 2009, 182-189.
Griffiths, A. J. et al., “An Introduction to Genetic Analysis”, Sixth Edition, 1996, 5 pages.
Grunenwald, H. , “Optimization of Polymerase Chain Reactions”, Methods in Biology, vol. 226, 2003, 89-99.
Gu, H. et al., “Diagnostic role of microRNA expression profile in the serum of pregnant women with fetuses with neural tube defects”, Journal of Neurochemistry, vol. 122, 2012, 641-649.
Guo, H et al., “A Specific and Versatile Genome Walking Technique”, Gene, vol. 381, 2006, 18-23.
Gwee, Pai-Chung et al., “Simultaneous Genotyping of Seven Single-nucleotide Polymorphisms in the Mdr1 Gene by Single-tube Multiplex Minisequencing”, Pai-Chung Gwee. et al., “Simultaneous Genotyping of Seven Single-nucleotide Polymorphisms in the Mdr1 Gene by Single-tube Multiplex Minisequencing”, Clinical chemistry, Apr. 2003, vol. 49, Issue. 3, pp. 672-676., Apr. 1, 2003, 672-676.
Hahn, S. et al., “Current applications of single-cell PCR”, CMLS Cellular and Molecular. Life Sciences, vol. 57, 2000, 96-105.
Hahn, S. et al., “Quantification of Circulating DNA: In the Preparation Lies the Rub”, Clinical Chemistry, vol. 47, No. 9, 2001, 1577-1578.
Halford, William P. , “The Essential Prerequisites for Quantitative RT-PCR”, Nature Biotechnology, vol. 17, 1999, 1 page.
Heaton, Paul R. et al., “Heminested PCR Assay for Detection of Six Genotypes of Rabies and Rabies-related Viruses”, Journal of Clinical Microbiology, vol. 35, 1997, pp. 2762-2766.
Heidary, M. et al., “The dynamic range of circulating tumor DNA in metastatic breast cancer”, Breast Cancer Research, vol. 16, No. 421, 2014, 10 pages.
Henegariu, O. et al., “Multiplex PCR: Critical Parameters and Step-by-Step Protocol”, Biotechniques, vol. 23, 1997, pp. 504-511.
Hodgkinson, C. L. et al., “Tumorigenicity and genetic profiling of circulating tumor cells in small-cell lung cancer”, Nature Medicine, vol. 20, No. 8, Aug. 2014, 897-905.
Hosmillo, Myra D. et al., “Development of Universal SYBR Green Real-time RT-PCR for the Rapid Detection and Quantitation of Bovine and Porcine Toroviruses”, Journal of Virological Methods, vol. 168, 2010, pp. 212-217.
Hosono, S. et al., “Unbiased Whole-Genome Amplification Directly From Clinical Samples”, Genome Research, vol. 13, 2003, 954-964.
Hou, X. et al., “Analysis of the Repertoire Features of TCR Beta Chain CDR3 in Human by High-Throughput Sequencing”, Cellular Physiology and Biochemistry, vol. 39, Jul. 21, 2019, 651-667.
Howie, B. N. et al., “A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies”, PLoS Genetics, vol. 5, No. 6, Jun. 2009, 15 pages.
Hu, Hao et al., “Mutation Screening in 86 Known X-linked Mental Retardation Genes by Droplet-based Multiplex Pcr and Massive Parallel Sequencing”, Hao Hu. et al., “Mutation Screening in 86 Known X-linked Mental Retardation Genes by Droplet-based Multiplex Pcr and Massive Parallel Sequencing”, Hugo J, Dec. 2009, vol. 3, pp. 41-49., Dec. 1, 2009, 41-49.
Hu, Y. et al., “Detection of Extrahepatic Hepatitis C Virus Replication by a Novel, Highly Sensitive, Single-Tube Nested Polymerase Chain Reaction”, Am. J. Clin Pathol., vol. 119, 2003, 95-100.
Huang, D. J. et al., “Reliable detection of Trisomy 21 using MALDI-TOF mass spectrometry”, Genetics in Medicine, vol. 8, Nov. 2006, 728-734.
Huang, D. J. et al., “Use of an Automated Method Improves the Yield and Quality of Cell-Free Fetal DNA Extracted from Maternal Plasma”, Clinical Chemistry, vol. 51, No. 12, 2005, 2419-2420.
Huang, J. et al., “Whole genome DNA copy number changes identified by high density oligonucleotide arrays”, Human Genomics, vol. 1, No. 4, May 2004, 287-299.
Hung, E.C.W. et al., “Detection of circulating fetal nucleic acids: a review of methods and applications”, J. Clin. Pathol., vol. 62, 2009, 308-313.
Hyndman, D L. et al., “PCR Primer Design”, Methods in Molecular Biology, vol. 226, Second Edition, 2003, 81-88.
Illumina, “Automated GoldenGate™ Genotyping on the BeadStation 500”, Pub. No. 970-2004-002, 2004, 2 pages.
Illumina, “GoldenGate Assay Workflow: Illumina's GoldenGate assay protocol provides high-quality, high-multiplex genotyping results with a streamlined workflow”, Pub. No. 370-2004-006, 2004, 2 pages.
Illumina, “HiSeq 2500 Sequencing System”, System Specification Sheet: Sequencing, available via URL https://www.illumina.com/documents/products/datasheets/datasheet_hiseq2500.pdf, 2015, 4 pgs.
Illumina, “History of Sequencing by Synthesis”, https://www.illumina.com/science/technology/next-generation-sequencing/illumina-sequencing-history.html, 2020, 3 pages.
Illumina, “Illumina Extends BeadArray Technology to Address Wider Range of SNP Genotyping Projects; New Microarray Offerings Enable Genotyping at 384 and 786 Multiplex”, Businesswire, May 4, 2004, 2 pages.
Illumina, “Illumina® Beadstation 500: A Scalable System That Grows With Your Research Requirements”, Pub. No. 970-2005-003, Jul. 1, 2005, 4 pages.
Illumina, “Illumina Announces Benchtop SNP Genotyping System”, Press Release, Nov. 5, 2003, 3 pages.
Illumina, “Illumina Begins Shipment of BeadStation 500G Benchtop Genotyping System”, Press Release, Apr. 15, 2004, 3 pages.
Illumina, “MiSeq System Information Sheet”, 2018, 3 pgs.
Illumina, “Preparing Samples for Sequencing Genomic DNA”, Part # 11251892 Rev. A, 2007, 18 pages.
Illumina, “Preparing Samples for Sequencing Genomic DNA”, Part # 1003806 Rev. A, 2007, 20 pages.
Illumina, “Products & Services”, Product Literature, Mar. 21, 2007, 3 pages.
Illumina, “Technology: Solexa Sequencing Technology”, May 21, 2007, 1 page.
Illumina, “TruSeq™ RNA and DNA Library Preparation Kits v2”, Data Sheet: Illumina® Sequencing, 2014, 4.
Innan, H. et al., “The Pattern of Polymorphism on Human Chromosome 21”, Genome Research, vol. 13, 2003, 1158-1168.
Iskow, R. C. et al., “Natural Mutagenesis of Human Genomes by Endogenous Retrotransposons”, Cell, vol. 141, Jun. 25, 2010, 1253-1261.
Ivanov, M. et al., “Non-random fragmentation patterns in circulating cell-free DNA reflect epigenetic regulation”, BMC Genomics, vol. 16 (Suppl 13):S1, Jun. 2015, 12 pgs.
Jen, J. et al., “An Overview on the Isolation and Analysis of Circulating Tumor DNA in Plasma and Serum”, Annals New York Academy of Sciences, 2000, 8-12.
Jennings, C. et al., “Investigation of Effects of Acid Citrate Dextrose and EDTA on Ability to Quantitatively Culture Human Immunodeficiency Virus”, Journal of Clinical Microbiology, vol. 38, No. 9, 2000, 3522.
Jett, K. et al., “Clinical and genetic aspects of neurofibromatosis 1”, Genetics in Medicine, vol. 12, No. 1, Jan. 2010, 11 pages.
Jewesburty, E.C.O. , “Reactions after Transfusion of Stored Blood”, The British Medical Journal, vol. 1, No. 4191, 1941, 664-665.
Jiang, P. et al., “The Long and Short of Circulating Cell-Free DNA and the Ins and Outs of Molecular Diagnostics”, Trends in Genetics, vol. 32, No. 6, Jun. 2016, 360-371.
Johnson, D. S. et al., “Genome-Wide Mapping of in Vivo Protein-DNA Interactions”, Science, vol. 316, Jun. 8, 2007, 1497-1502.
Johnson, J. B. et al., “Differential mechanisms of complementmediated neutralization of the closely related paramyxoviruses simian virus 5 and mumps virus”, Virology, vol. 376, No. 1, 2008, 112-123.
Johnson, K. L. et al., “Interlaboratory Comparison of Fetal Male DNA Detection from Common Maternal Plasma Samples by Real-Time PC”, Clinical Chemistry, vol. 50, No. 3, 2004, 516-521.
Juppner, H. et al., “Functional Properties of the PTH/PTHrP Receptor”, Bone, vol. 17, No. 2 Supplement, Aug. 1995, 39S-42S.
Kalendar, Ruslan et al., “Java Web Tools for PCR, in Silico PCR, and Oligonucleotide Assembly and Analysis”, Genomics, vol. 98, 2011, pp. 137-144.
Kamel, A. M. et al., “A simple strategy for breakpoint fragment determination in chronic myeloid leukemia”, Cancer Genetics and Cytogenetics, vol. 122, 2000, 110-115.
Kane, M. et al., “Application of Less Primer Method to Commercial Kits”, Forensic Science International: Genetics Supplement Series, vol. 1, Issue 1, 2008, 41-43.
Kane, M. , “Application of Less Primer Method to Multiplex PCR”, International Congress Series, vol. 1288, 2006, pp. 694-696.
Kanou, et al., “Cell-free DNA in human ex vivo lung perfusate as a potential biomarker to predict the risk of primary graft dysfunction in lung transplantation”, The Journal of Heart and Lung Transplantation, vol. 36, No. 45, 2017, S187.
Keith, L. et al., “Clinical Experience With the Prevention of Rh-Isoimmunization: A Historical Comparative Analysis”, American Journal of Reproductive Immunology, vol. 5, 1984, 84-89.
Keller, M. C. et al., “Non-Pathological Paternal Isodisomy of Chromosome 2 Detected From a Genome-Wide SNP Scan”, American Journal of Medical Genetics, Part A, 2009, 1823-1826.
Kennedy, S. R. et al., “Detecting ultralow-frequency mutations by Duplex Sequencing”, Nature Protocols, vol. 9, No. 11, 2014, 2586-2606.
Kibbe, Warren A. , “Oligocalc: An Online Oligonucleotide Properties Calculator”, Nucleic Acids Research, vol. 35, 2007, pp. W43-W46.
Kiernan, J. A. , “Formaldehyde, formalin, paraformaldehyde and glutaraldehyde: What they are and what they do.”, Microscopy Today, vol. 1, 2000, 8-12.
Kimmel, G. et al., “GERBIL: Genotype resolution and block identification using likelihood”, PNAS, vol. 102, No. 1, Jan. 4, 2005, 158-162.
Kirkness, E. F. et al., “Sequencing of isolated sperm cells for direct haplotyping of a human genome”, Genome Research, vol. 23, 2013, 826-832.
Kivioja, T. et al., “Counting absolute number of molecules using unique molecular identifiers”, Nature Proceedings, Apr. 14, 2011, 18 pgs.
Kivioja, T. et al., “Counting absolute numbers of molecules using unique molecular identifiers”, Nature Methods, vol. 9, No. 1, Jan. 2012, 72-76.
Kohler, C. et al., “Levels of plasma circulating cell free nuclear and mitochondrial DNA as potential biomarkers for breast tumors”, Molecular Cancer, vol. 8, No. 105, Nov. 17, 2009, 9 pages.
Koide, K. et al., “Fragmentation of cell-free fetal DNA in plasma and urine of pregnant women”, Prenatal Diagnosis, vol. 25, 2005, 604-607.
Konfortov, B A. et al., “A High-Resolution HAPPY Map of Dictyostelium discoideum Chromosome 6”, Genome Research, vol. 10, No. 11, Nov. 2000, 1737-1742.
Kopreski, MS et al., “Detection of mutant K-ras DNA in plasma or serum of patients with colorectal cancer”, British Journal of Cancer, vol. 76, No. 10, 1997, 1293-1299.
Koressaar, Triinu et al., “Enhancements and Modifications of Primer Design Program Primer3”, Bioinformatics, vol. 23, 2007, pp. 1289-1291.
Kuhn, H. et al., “Rolling-circle amplification under topological constraints”, Nucleic Acids Research, vol. 30, No. 2, 2002, 574-580.
Kukita, Y. et al., “High-fidelity target sequencing of individual molecules identified using barcode sequences: de nova detection and absolute quantitation of mutations in plasma cell-free DNA from cancer patients”, DNA Research, vol. 22, No. 4, Jun. 29, 2015, 269-277.
Kumar, P. et al., “Ethylenegycol-Bis-(B-Aminoethylether)Tetraacetate as a Blood Anticoagulant: Preservation of Antigen-Presenting Cell Function and Antigen-Specific Proliferative Response of Peripheral Blood Mononuclear Cells from Stored Blood”, Clinical and Diagnostic Laboratory Immunology, vol. 7, No. 4, 2000, 578-583.
Landegren, U. et al., “Padlock and proximity probes for in situ and array-based analyses: tools for the post-genomic era”, Comparative and Functional Genomics, vol. 4, 2003, 525-530.
Langmore, J. , “Quality Control and Pre-Qualifications of NGS Libraries Made from Clinical Samples”, ABRF 2013 Satellite Workshop, Mar. 2, 2013, 35 pages.
Lapaire, O. et al., “Array-CGH analysis of cell-free fetal DNA in 10 mL of amniotic fluid supernatant”, Prenatal Diagnosis, vol. 27, May 17, 2007, 616-621.
Lapierre, J.M. et al., “Analysis of uncultured amniocytes by comparative genomic hybridization: a prospective prenatal study”, Prenatal Diagnosis, vol. 20, 2000, 123-131.
Lardeux, Frederic et al., “Optimization of a Semi-nested Multiplex PCR to Identify Plasmodium Parasites in Wild-Caught Anopheles in Bolivia, and Its Application to Field Epidemiological Studies”, Transactions of the Royal Society of Tropical Medicine and Hygiene, vol. 102, 2008, pp. 485-492.
Larsen, J. B. et al., “Single-step Nested Multiplex PCR to Differentiate Between Various Bivalve Larvae”, Marine Biology, vol. 146, 2005, pp. 1119-1129.
Lasken, R. S. et al., “Whole genome amplification: abundant supplies of DNA from precious samples or clinical specimens”, Trends in Biotechnology, vol. 21, No. 12, Dec. 2003, 531-535.
Lavrentieva, I et al., “High Polymorphism Level of Genomic Sequences Flanking Insertion Sites of Human Endogenous Retroviral Long Terminal Repeats”, FEBS Letters, vol. 443, No. 3, Jan. 29, 1999, 341-347.
Lecomte, T. et al., “Detection of Free-Circulating Tumor-Associated DNA in Plasma of Colorectal Cancer Patients and Its Association With Prognosis”, Int. J. Cancer, vol. 100, 2002, 542-548.
Lee, J et al., “Anchored Multiplex PCR Enables Sensitive and Specific Detection of Variants in Circulating Tumor DNA by Next-Generation Sequencing”, DOI:https://doi.org/10.1016/j.cancergen.2017.04.049, Cancer Genetics 214-215, 2017, 47.
Lee, T. et al., “Down syndrome and cell-free fetal DNA in archived maternal serum”, AmJ Obstet Gynecol, vol. 187, No. 5, 1217-1221, Nov. 2002.
Lee, T.H. et al., “Quantitation of genomic DNA in plasma and serum samples: higher concentrations of genomic DNA found in serum than in plasma”, Transfusion, vol. 41, Feb. 2001, 276-282.
Li, R. et al., “SNP detection for massively parallel whole-genome resequencing”, Genome Research, vol. 19, 2009, 1124-1132.
Li, Y. et al., “Detection of Paternally Inherited Fetal Point Mutations for b-Thalassemia Using Size-Fractionated Cell-Free DNA in Maternal Plasma”, JAMA, vol. 293, No. 7, Apr. 13, 2005, 843-849.
Li, Ying et al., “Ready detection of donor-specific single-nucleotide polymorphisms in the urine of renal transplant recipients by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry”, Ying Li. et al., “Ready detection of donor-specific single-nucleotide polymorphisms in the urine of renal transplant recipients by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry”,Clin Chem,Oct. 2005,vol. 51,lssue.10,pp. 1903-1904, Oct. 1, 2005, 1903-1904.
Lichtenstein, A. V. et al., “Circulating Nucleic Acids and Apoptosis”, Annals New York Academy of Sciences, vol. 945, Aug. 1, 2001, 239-249.
Lo, Y.M.D. , “Fetal DNA in Maternal Plasma: Biology and Diagnostic Applications”, Clinical Chemistry, vol. 46, No. 12, 2000, 1903-1906.
Lo, Y.M.D. et al., “Prenatal diagnosis: progress through plasma nucleic acids”, Nature Reviews, vol. 8, 2007, 71-77.
Loh, Elwyn , “Anchored PCR: Amplification with Single-sided Specificity”, Methods, vol. 2, 1991, pp. 11-19.
Lovmar, L. et al., “Quantitative evaluation by minisequencing and microarrays reveals accurate multiplexed SNP genotyping of whole genome amplified DN”, Nucleic Acids Research, vol. 31, No. 21, 2003,, 9 pgs.
Lu, S. et al., “Probing Meiotic Recombination and Aneuploidy of Single Sperm Cells by Whole-Genome Sequencing”, Science, vol. 338, Dec. 21, 2012, 1627-1630.
Mackiewicz, D. et al., “Distribution of Recombination Hotspots in the Human Genome—A Comparison of Computer Simulations with Real Data”, PLOS One, vol. 8, No. 6, Jun. 2013, 11 pages.
Marguiles, M. et al., “Genome Sequencing in Open Microfabricated High Density Picoliter Reactors”, Nature, vol. 437, No. 7057, Sep. 15, 2005, 376-380.
Marianes, Alexis E. et al., “Targets of Somatic Hypermutation within Immunoglobulin Light Chain Genes in Zebrafish”, Immunology, vol. 132, 2010, pp. 240-255.
Marshutina, N. V. et al., “Comparative Clinical and Diagnostic Significance of Some Serological Tumor Associated Markers for Different Histological Types of Lung Cancer”, Russian Oncological Journal, vol. 3, 2010, 13-16.
Masuzaki, H. et al., “Detection of cell free placental DNA in maternal plasma: direct evidence from three cases of confined placental mosaicism”, J Med Genet, vol. 41, 2004, 289-292.
Matsubara, T. et al., “Pantropic Retroviral Vectors Integrate and Express in Cells of the Malaria Mosquito, Anopheles Gambiae”, PNAS, vol. 93, 1996, pp. 6181-6185.
Matsuzaki, H. et al., “Genotyping over 100,000 SNPs on a pair of oligonucleotide arrays”, Nature Methods, vol. 1, No. 2, Nov. 2004, 109-111.
McDonald, J. P. et al., “Novel thermostable Y-family polymerases: applications for the PCR amplification of damaged or ancient DNAs”, Nucleic Acids Research, vol. 34, No. 4, 2006, 1102-1111.
Messmer, Trudy O. et al., “Application of a Nested, Multiplex PCR to Psittacosis Outbreaks”, Journal of Clinical Microbiology, vol. 35, No. 8, 1997, pp. 2043-2046.
Metzker, M. L. et al., “Polymerase Chain Reaction”, Encyclopedia of Medical Devices and Instrumentation, vol. 5, Second Edition, 2006, 380-387.
Metzker, M. L. et al., “Quantitation of Mixed-Base Populations of HIV-1 Variants by Automated DNA Sequencing with BODIPY* Dye-Labeled Primers”, BioTechniques, vol. 25, Sep. 1998, 446-462.
Meuzelaar, Linda S. et al., “Megaplex PCR: A Strategy for Multiplex Amplification”, Nature Methods, vol. 4, 2007, pp. 835-837.
Meyer, M et al., “Illumina Sequencing Library Preparation for Highly Multiplexed Target Capture and Sequencing”, Cold Spring Harbor Protocols, vol. 2010, Issue 6, Jun. 2010, 1-10.
Meyerson, M. et al., “Advances in understanding cancer genomes through second-generation sequencing”, Nature Reviews: Genetics, vol. 11, Oct. 2010, 685-696.
Mikkelsen, T. S. et al., “Genome-wide maps of chromatin state in pluripotent and lineage-committed cells”, Nature, vol. 448, No. 2, Aug. 2007, 553-562.
Miramontes, Pedro et al., “DNA Dimer Correlations Reflect in Vivo Conditions and Discriminate Among Nearest-neighbor Base Pair Free Energy Parameter Measures”, Physica A, vol. 321, 2003, pp. 577-586.
Moreau, Valerie et al., “Zip Nucleic Acids: New High Affinity Oligonucleotides as Potent Primers for PCR and Reverse Transcription”, Nucleic Acids Research, vol. 37, No. 19, e130, 2009, 14 pages.
Morris, J. K. et al., “Trends in Down's syndrome live births and antenatal diagnoses in England and Wales from 1989 to 2008: analysis of data from the National Down Syndrome Cytogenetic Register”, BMJ Online, vol. 339, Oct. 2009, 5 pages.
Murali, R. et al., “Crystal structure of Taq DNA polymerase in complex with an inhibitory Fab: The Fab is directed against an intermediate in the helix-coil dynamics of the enzyme”, Proc. Natl. Acad. Sci. USA, vol. 95, Oct. 1998, 12562-12567.
Nagalla, S. R. et al., “Proteomic Analysis of Maternal Serum in Down Syndrome: Identification of Novel Protein Biomarkers”, Journal of Proteome Research, vol. 6, Mar. 21, 2007, 1245-1257.
Namlos, H. M. et al., “Noninvasive Detection of ctDNA Reveals Intratumor Heterogeneity and Is Associated with Tumor Burden in Gastrointestinal Stromal Tumor”, Molecular Cancer Therapeutics, vol. 17, No. 11, 2018, 2473-2480.
Nawroz, H et al., “Microsatellite Alterations in Serum DNA of Head and Neck Cancer Patients”, Nature Medicine, vol. 2, No. 9, Sep. 1996, 1035-1037.
Nilsson, M. et al., “Padlock Probes: Circularizing Oligonucleotides for Localized DNA Detection”, Science, vol. 265, Sep. 10, 1994, 2085-2088.
Nishigaki, K. et al., “Random PCR-Based Genome Sequencing: A Non-Divide-and-Conquer Strategy”, DNA Research, vol. 7, 2000, 19-26.
Nishiwaki, Morie et al., “Genotyping of Human Papillomaviruses by a Novel One-step Typing Method With Multiplex PCR and Clinical Applications”, Journal of Clinical Microbiology, vol. 46, 2008, pp. 1161-1168.
O'Connell, G. C. et al., “High Interspecimen Variability in Nucleic Acid Extraction Efficiency Necessitates the Use of Spike-In Control for Accurate qPCR-based Measurement of Plasma Cell-Free DNA Levels”, Lab Medicine, vol. 48, 2017, 332-338.
Ohara, O et al., “One-sided Polymerase Chain Reaction: The Amplification of cDNA”, Proceedings of the National Academy of Sciences, vol. 86, 1989, 5673-5677.
Ohira, T. et al., “Tumor volume determines the feasibility of cell-free DNA sequencing for mutation detection in non-small cell lung cancer”, Cancer Science, vol. 107, 2016, 1660-1666.
Oliphant, A. et al., “Bead.Array™ Technology: Enabling an Accurate, Cost-Effective Approach to High-Throughput Genotyping”, Bio Techniques, vol. 32, Jun. 2002, S56-S6.
Olivarius, S et al., “High-throughput Verification of Transcriptional starting Sites by Deep-RACE”, Bio Techniques, vol. 46, No. 2, Feb. 2009, 130-132.
Olive, M. et al., “Characterization of the DiFi Rectal Carcinoma Cell Line Derived from a Familial Adenomatous Polyposis Patient”, In Vitro Cellular & Developmental Biology, vol. 29A, No. 3, Part 1, Mar. 1993, 239-248.
Olney, R. S. et al., “Chorionic Villus Sampling and Amniocentesis Recommendations for Prenatal Counseling”, MMWR: Recommendations and Reports, 44(RR-9), Jul. 21, 1995, 1-12.
Owczarzy, Richard et al., “Melting Temperatures of Nucleic Acids Discrepancies in Analysis”, Biophysical Chemistry, vol. 117, 2005, pp. 207-215.
Palka-Santini, Maria et al., “Large Scale Multiplex PCR Improves Pathogen Detection by DNA Microarrays”, BMC Microbiology, vol. 9, No. 1, 2009, 14 pages.
Panjkovich, Alejandro et al., “Comparison of Different Melting Temperature Calculation Methods for Short DNA Sequences”, Bioinformatics, vol. 21, 2005, pp. 711-722.
Parameswaran, P. et al., “A pyrosequencing-tailored nucleotide barcode design unveils opportunities for large-scale sample multiplexing”, Nucleic Acids Research, vol. 35, No. 19, Oct. 11, 2007, 9 pages.
Parker, A. V. et al., “The Effect of Sodium Citrate on the Stimulation of Polymorphonuclear Leukocytes”, Investigative Ophthalmology & Visual Science, vol. 26, 1985, 1257-1261.
Pask, R. et al., “Investigating the utility of combining 29 whole genome amplification and highly multiplexed single nucleotide polymorphism BeadArray TM genotyping”, BMC Biotechnology, vol. 4, No. 15, Jul. 27, 2004, 8 pages.
Patil, N. et al., “Blocks of Limited Haplotype Diversity Revealed by High-Resolution Scanning of Human Chromosome 21”, Science, vol. 294, Nov. 23, 2001, 1719-1723.
Paunio, T. et al., “Preimplantation diagnosis by whole-genome amplification, PCR amplification, and solid-phase minisequencing of blastomere DNA”, Clinical Chemistry, vol. 42, No. 9, 1996, 1382-1390.
Pelizzari, C. A. et al., “Quantitative analysis of DNA array autoradiographs”, Nucleic Acids Research, vol. 28, No. 22, 2000, 4577-4581.
Perakis, S. et al., “Advances in Circulating Tumor DNA Analysis”, Advances in Clinical Chemistry, vol. 80, 2017, 73-153.
Pfaffl, Michael W. , “Quantification Strategies in Real-time PCR”, A-Z of quantitative PCR, 2004, pp. 87-112.
Philip, J. et al., “Late First-Trimester Invasive Prenatal Diagnosis Results of an International Randomized Trial”, American College of Obstetricians and Gynecologists, vol. 103, No. 6, Jun. 2004, 1164-1173.
Pirker, C. et al., “Whole Genome Amplification for CGH Analysis: Linker-Adapter PCR as the Method of Choice for Difficult and Limited Samples”, Cytometry Part A, vol. 61A, 2004, 26-34.
Pont-Kingdon, G. et al., “Rapid Detection of Aneuploidy (Trisomy 21) by Allele Quantification Combined with Melting Curves Analysis of Single-Nucleotide Polymorphism Loci”, Clinical Chemistry, vol. 49, No. 7, 2003, 1087-1094.
Profitt, J et al., “Isolation and Characterisation of Recombination Events Involving Immunoglobulin Heavy Chain Switch Regions in Multiple Myeloma Using Long Distance Vectorette PCR (Ldv-pcr)”, Leukemia, vol. 13, No. 7, Jul. 1999, 1100-1107.
Qiagen, , “QIAamp DNA Mini Kit and QIAamp DNA Blood Mini Kit Handbook”, QIAamp DNA Mini Kit and QIAamp DNA Blood Mini Kit Handbook, Feb. 2003 (“Qiagen (2003)”), 2003, 68 pages.
Qin, Z. S. et al., “Partition-Ligation-Expectation-Maximization Algorithm for Haplotype Inference with Single-Nucleotide Polymorphisms”, Am. J. Hum Genet., vol. 71, 2002, 1242-1247.
Quan, P. C. et al., “Studies on the mechanism of NK cell lysis”, The Journal of Immunology, vol. 128, 1982, 1786-1791.
Quinlan, M. P. , “Amniocentesis: Indications and Risks”, American Medical Association Journal of Ethics: Virtual Mentor, vol. 10, No. 5, May 2008, 304-306.
Rabinowitz, M. , “A System and Method for Integrating, Validating and Applying Genetic and Clinical Data to Enhance Medical Decisions”, Nov. 29, 2005, 155 pgs.
Reeves, R. H. et al., “Too much of a good thing: mechanisms of gene action in Down syndrome”, Trends in Genetics, vol. 17, No. 2, Feb. 2, 2001, 83-88.
Rhoads, A. et al., “PacBio Sequencing and Its Applications”, Genomics Proteomics Bioinformatics, vol. 13, Nov. 2, 2015, 278-289.
Robertson, G. et al., “Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing”, Nature Methods, vol. 4, No. 8, Aug. 2007, 651-657.
Roman, B. L. et al., “Non-Radioisotopic AFLP Method Using PCR Primers Fluorescently Labeled with CyA 5”, BioTechniques, vol. 26, Feb. 1999, 236-238.
Rosado, J. A. et al., “Tyrosine kinases activate store-mediated Ca2+ entry in human platelets through the reorganization of the actin cytoskeleton”, Biochem. J., vol. 351, 2000, 429-437.
Rosen, D. R. et al., “Mutations in Cu/Zn superoxide dismutase gene are associated with familial amyotrophic lateral sclerosis”, Nature, vol. 362, Mar. 4, 1993, 59-62.
Ross, P. et al., “Quantitative Approach to Single-Nucleotide Polymorphism Analysis Using MALDI-TOF Mass Spectrometry”, BioTechniques, vol. 29, Sep. 2000, 620-629.
Ruano, G. et al., “Haplotype of multiple polymorphisms resolved by enzymatic amplification of single DNA molecules”, Proc. Nati. Acad. Sci. USA, vol. 87, Aug. 1990, 6296-6300.
Rubio, J. M. et al., “Semi-nested, Multiplex Polymerase Chain Reaction for Detection of Human Malaria Parasites and Evidence of Plasmodium Vivax Infection in Equatorial Guinea”, The American Journal of Tropical Medicine and Hygiene, vol. 60, 1999, pp. 183-187.
Ryan, B. M. et al., “A prospective study of circulating mutant KRAS2 in the serum of patients with colorectal neoplasia: strong prognostic indicator in postoperative follow up”, Gut, vol. 52, 2003, 101-108.
Sahukhal, G. S. et al., “msaABCR operon positively regulates biofilm development by repressing proteases and autolysis in Staphlococcus aureus”, FEMS Microbiology Letters, vol. 362, No. 4, 2015, 1-10.
Saito, H. et al., “Prenatal DNA diagnosis of a single-gene disorder from maternal plasma”, The Lancet, vol. 356, Sep. 30, 2000, 1170.
Samura, O. et al., “Diagnosis of Trisomy 21 in Fetal Nucleated Erythrocytes from Maternal Blood by Use of Short Tandem Repeat Sequences”, Clinical Chemistry, vol. 47, No. 9, 2001, 1622-1626.
Santalucia, Jr., J. , “Physical Principles and Visual-OMP Software for Optimal PCR Design”, Methods in Molecular Biology, vol. 402, 2007, 3-33.
Scarpa, A. et al., “Molecular Typing of Lung Adenocarcinoma on Cytological Samples Using a Multigene Next Generation Sequencing Panel”, PLOS One, vol. 8, No. 11, Nov. 13, 2013, 6 pgs.
Scheet, P. et al., “A Fast and Flexible Statistical Model for Large-Scale Population Genotype Data: Applications to Inferring Missing Genotypes and Haplotypic Phase”, The American Journal of Human Genetics, vol. 78, Apr. 2006, 629-644.
Schoske, R et al., “Multiplex PCR Design Strategy used for the Simultaneous Amplification of 10 Y Chromosome Short Tandem Repeat (STR) Loci”, Analytical and Bioanalytical Chemistry, vol. 375, 2003, 333-343.
Schubert, , “Picking out prenatal DNA”, Nature Medicine, vol. 10, No. 785, Aug. 2004, 1 page.
Schwarzenbach, H. et al., “Detection and Characterization of Circulating Microsatellite—DNA in Blood of Patients with Breast Cancer”, Ann. N.Y. Acad. Sci., vol. 1022, 2004, 25-32.
Schwarzenbach, H. et al., “Evaluation of cell-free tumour DNA and RNA in patients with breast cancer and benign breast disease”, Molecular BioSystems, vol. 7, 2011, 2848-2854.
Seppo, A. et al., “Detection of circulating fetal cells utilizing automated microscopy: potential for noninvasive prenatal diagnosis of chromosomal aneuploidies”, Prenatal Diagnosis, vol. 28, Jul. 22, 2008, 815-821.
Shapero, M. H. et al., “MARA: A Novel Approach for Highly Multiplexed Locus-specific SNP Genotyping Using High-density DNA Oligonucleotide Arrays”, Nucleic Acids Research, vol. 32, No. 22, 2004, 1-9.
Shendure, J. et al., “Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome”, Science, Nov. 30, 2007, 18-24.
Shendure, J. et al., “Next-generation DNA sequencing”, Nature Biotechnology, vol. 26, No. 10, Oct. 2008, 1135-1145.
Shinozaki, M. et al., “Utility of Circulating B-RAF DNA Mutation in Serum for Monitoring Melanoma Patients Receiving Biochemotherapy”, Clin Cancer Res, vol. 13, No. 7, Apr. 1, 2007, 2068-2074.
Shokralla, S. et al., “Next-generation DNA barcoding: using nextgeneration sequencing to enhance and accelerate DNA barcode capture from single specimens”, Molecular Ecology Resources, vol. 14, 2014, 892-901.
Short, N. J. et al., “Targeted next-generation sequencing of circulating cell-free DNA vs bone marrow in patients with acute myeloid leukemia”, Blood Advances, vol. 4, No. 8, Apr. 23, 2020, 1670-1677.
Shyamala, Venkatakrishna et al., “Genome Walking by Single-Specific-Primer Polymerase Chain Reaction: SSP-PCR”, Gene, vol. 84, 1989, pp. 1-8.
Siebert, P. D. et al., “An improved PCR method for walking in uncloned genomic DNA”, Nucleic Acids Research, vol. 23, No. 6, 1995, 1087-1088.
Singh, Vinayak K. et al., “PCR Primer Design”, Molecular Biology Today, vol. 2, 2001, pp. 27-32.
Sivertsson, A. et al., “Pyrosequencing as an Alternative to Single-Strand Conformation Polymorphism Analysis for Detection of N-ras Mutations in Human Melanoma Metastases”, Clinical Chemistry, vol. 48, No. 12, 2002, 2164-2170.
Solomon, M. J. et al., “Formaldehyde-mediated DNA-protein crosslinking: A probe for in vivo chromatin structures”, Proc. Natl. Acad. Sci. USA, vol. 82, 1985, 6470-6474.
Sorenson, G. D. et al., “Soluble Normal and Mutated DNA Sequences from Single-Copy Genes in Human Blood”, Cancer Epdemiology, Biomarkers & Prevention, vol. 3, Jan./Feb. 1994, 67-71.
Spencer, K. et al., “Maternal serum levels of dimeric inhibin A in pregnancies affected by trisomy 21 in the first trimester”, Prenatal Diagnosis, vol. 21, 2001, 441-444.
Spencer, K. et al., “Maternal serum levels of total activin-A in first-trimester trisomy 21 pregnancies”, Prenatal Diagnosis, vol. 21, 2001, 270-273.
Spindler, K.-L. G. et al., “Cell-Free DNA in Metastatic Colorectal Cancer: A Systematic Review and Meta-Analysis”, The Oncologist, vol. 22, 2017, 1049-1055.
Stephens, M. et al., “Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation”, Am. J. Hum. Genet., vol. 76, 2005, 449-462.
Stewart, C. M. et al., “Circulating cell-free DNA for non-invasive cancer management”, Cancer Genetics, vol. 228-229, 2018, 169-179.
Stewart, S. et al., “Revision of the 1990 Working Formulation for the Standardization of Nomenclature in the Diagnosis of Heart Rejection”, The Journal of Heart and Lung Transplantation, vol. 24, No. 11, Nov. 2005, 1710-1720.
Su, Z. et al., “A Platform for Rapid Detection of Multiple Oncogenic Mutations With Relevance to Targeted Therapy in Non-Small-Cell Lung Cancer”, The Journal of Molecular Diagnostics,, vol. 13, No. 1, Jan. 2011, 74-84.
Swarup, V. et al., “Circulating (cell-free) nucleic acids—A promising, non-invasive tool for early detection of several human diseases”, FEBS Letters, vol. 581, 2007, 795-799.
Swinkels, D. W. et al., “Effects of Blood-Processing Protocols on Cell-free DNA Quantification in Plasma”, Clinical Chemistry, vol. 49, No. 3, 2003, 525-526.
Syvanen, A.C. , “Toward genome-wide SNP genotyping”, Nature Genetics Supplement, vol. 37, Jun. 2005, S5-S10.
Taback, B. et al., “Quantification of Circulating DNA in the Plasma and Serum of Cancer Patients”, Ann. N.Y. Acad. Sci, vol. 1022, 2004, 17-24.
Takashima, Y. et al., “Expansion-contraction of photoresponsive artificial muscle regulated by host-guest interactions”, Nature Communications, vol. 3, No. 1270, Dec. 11, 2012, 8 pages.
Tewhey, R. et al., “Microdroplet-based PCR enrichment for large-scale targeted sequencing”, Nature Biotechnology, vol. 27, No. 11, Nov. 2009, 1025-1031.
Thavarajah, R. et al., “Chemical and physical basics of routine formaldehyde fixation”, Journal of Oral and Maxillofacial Pathology, vol. 16, No. 3, 2012, 400-405.
Thompson, J. C. et al., “Detection of Therapeutically Targetable Driver and Resistance Mutations in Lung Cancer Patients by Next-Generation Sequencing of Cell-Free Circulating Tumor DNA”, Clin Cancer Res, vol. 22, No. 23, Dec. 1, 2016, 5772-5782.
Thornton, Brenda et al., “Real-time Pcr (qPCR) Primer Design Using Free Online Software”, Biochemistry and Molecular Biology Education, vol. 39, 2011, pp. 145-154.
Tounta, G et al., “Non-invasive prenatal diagnosis using cell-free fetal nucleic acids in maternal plasma: Progress overview beyond predictive and personalized diagnosis”, EPMA Journal, vol. 2, Issue 2, 2011, 163-171.
Treff, N. R. et al., “Single Cell Whole Genome Amplification Technique Significantly Impacts the Accuracy and Precision of Microarray Based 23 Chromosome Aneuploidy Screening”, Poster Presentations Preimplantation Genetic Diagnosis, vol. 88, Supplement 1, Sep. 1, 2007, S231.
Troutt, et al., “Ligation-anchored PCR: A Simple Amplification Technique with Single-sided Specificity”, Proceedings of the National Academy of Sciences, vol. 89, Oct. 1992, 9823-9825.
Tsangaris, G. T. et al., “Proteomic analysis of amniotic fluid in pregnancies with Down syndrome”, Proteomics, vol. 6, 2006, 4410-4419.
Tsui, N. B. et al., “Systematic micro-array based identification of placental mRNA in maternal plasma: towards non-invasive prenatal gene expression profiling”, J. Med. Genet, vol. 41, 2004, 461-467.
Tufan, N L. et al., “Analysis of Cell-Free Fetal DNA from Maternal Plasma and Serum Using a Conventional Multiplex PCR: Factors Influencing Success”, The Turkish Journal of Medical Sciences, vol. 35, 2005, 85-92.
Urbaniak, S. J. et al., “RhD haemolytic disease of the fetus and the newborn”, Blood Reviews, vol. 14, 2000, 44-61.
Urbanova, M. et al., “Circulating Nucleic Acids as a New Diagnostic Tool”, Cellular & Molecular Biology Letters, vol. 15, 2010, 242-259.
Vallone, Peter M. et al., “Demonstration of Rapid Multiplex PCR Amplification Involving 16 Genetic Loci”, Forensic Science International: Genetics, vol. 3, 2008, pp. 42-45.
Van Uitert, I. et al., “The influence of different membrane components on the electrical stability of bilayer lipid membranes”, Biochimica et Biophysica Acta, vol. 1798, 2010, 21-31.
Vanneste, Marion et al., “Functional Genomic Screening Independently Identifies CUL3 as a Mediator of Vemurafenib Resistance via Src-RAC1 Signaling Axis”, Frontiers in Oncology, vol. 10, 2020, 16 pages.
Vogelstein, B. et al., “Digital PCR”, Proc. Natl. Acad. Sci. USA, vol. 96, Aug. 1999, 9236-9241.
Von Ahsen, Nicolas et al., “Oligonucleotide Melting Temperatures under PCR Conditions: Nearest-Neighbor Corrections for Mg2+, Deoxynucleotide Triphosphate, and Dimethyl Sulfoxide Concentrations with Comparison to Alternative Empirical Formulas”, Clinical Chemistry, vol. 47, 2001, pp. 1956-1961.
Von Eggeling, F. et al., “Applications of Random PCR”, Cellular and Molecular Biology, vol. 41, No. 5, 1995, 653-670.
Wang, J. et al., “Genome-wide Single-Cell Analysis of Recombination Activity and De Novo Mutation Rates in Human Sperm”, Cell, vol. 150, Jul. 20, 2012, 402-412.
Wang, S. et al., “Potential Clinical Significance of a Plasma-Based KRAS Mutation Analysis in Patients with Advanced Non-Small Cell Lung Cancer”, Clin Cancer Res, vol. 16, No. 4, Feb. 15, 2010, 1324-1330.
Wartell, Roger M. et al., “Thermal Denaturation of DNA Molecules: A Comparison of Theory with Experiment”, Physics Reports, vol. 126, 1985, pp. 67-107.
Watt, Heather L. , “Sex Diagnosis of Preimplantation Porcine Embryos through PCR Amplification of the Sry Gene”, Sex Diagnosis of Preimplantation Porcine Embryos Through PCR Amplification of the SRY Gene (1998) (“Watt (1998)”), 1998, 151 pages.
Wei, C. et al., “Detection and Quantification by Homogeneous PCR of Cell-free Fetal DNA in Maternal Plasma”, Clinical Chemistry, vol. 47, No. 2, 2001, 336-338.
Wei, Ting et al., “Novel Approaches to Mitigate Primer Interaction and Eliminate Inhibitors in Multiplex PCR, Demonstrated Using an Assay for Detection of three Strawberry Viruses”, Journal of Virological Methods, vol. 151, 2008, pp. 132-139.
Wilkinson, Sarah T. et al., “Decreased MHC Class II Expression in Diffuse Large B-Cell Lymphoma does not Correlate with CPG Methylation of Ciita Promoters III and IV”, Leuk Lymphoma, vol. 50, 2009, pp. 1875-1878.
Winsor, E. J. et al., “Maternal Cell Contamination in Uncultured Amniotic Fluid”, Prenatal Diagnosis, vol. 16, 1996, 49-54.
Witherspoon, David J. et al., “Mobile Element Scanning (Me-scan) by Targeted High-throughput Sequencing”, BMC Genomics, vol. 410, 2010, 15 pages.
Wu, T.L. et al., “Cell-free DNA: measurement in various carcinomas and establishment of normal reference range”, Clinica Chimica Acta, vol. 321, 2002, 77-87.
Xu, W. et al., “A Novel Universal Primer-Multiplex-PCR Method with Sequencing Gel Electrophoresis Analysis”, PLOS One, vol. 7, No. 1, Jan. 17, 2012, 10 pgs.
Yamada, T. et al., “Detection of K-ras Gene Mutations in Plasma DNA of Patients with Pancreatic Adenocarcinoma: Correlation with Clinicopathological Features”, Clinical Cancer Research, vol. 4, Jun. 1998, 1527-1532.
Yamada, T. et al., “PrimerStation: a highly specific multiplex genomic PCR primer design server for the human genome”, Nucleic Acids Research, vol. 34, 2006, W665-W669.
Yaron, Y. , “The implications of non-invasive prenatal testing failures: a review of an under-discussed phenomenon”, Prenatal Diagnosis, vol. 36, 2016, 391-396.
Yilmaz, A. et al., “Comparative Evaluation of Left and Right Ventricular Endomyocardial Biopsy”, Circulation, vol. 122, No. 9, Aug. 31, 2010, 900-909.
Yuanxin, Yan et al., “T-linker-specific Ligation PCR (T-linker Pcr): An Advanced PCR Technique for Chromosome Walking or for Isolation of Tagged DNA Ends”, Nucleic Acids Research, vol. 31, No. 12, e68, 2003, 7 pages.
Zheng, S. et al., “Whole Genome Amplification Increases the Efficiency and Validity of Buccal Cell Genotyping in Pediatric Populations1”, Cancer Epidemiology, Biomarkers & Prevention, vol. 10, Jun. 2001, 697-700.
Zheng, Z et al., “Anchored Multiplex PCR for Targeted Next-generation Sequencing”, Nature Medicine, vol. 20, No. 12, Dec. 2014, 1479-1486.
Zhong, X Y. et al., “Detection of Fetal Rhesus D and Sex Using Fetal DNA from Maternal Plasma by Multiplex Polymerase Chain Reaction”, British Journal of Obstetrics and Gynaecology, vol. 107, Jun. 2000, 766-769.
Zhou, W. et al., “Counting alleles to predict recurrence of early-stage colorectal cancers”, The Lancet, vol. 359, Jan. 19, 2002, 219-225.
Zimmermann, B. et al., “Digital PCR: a powerful new tool for noninvasive prenatal diagnosis?”, Prenatal Diagnosis, vol. 28, Nov. 10, 2008, 1087-1093.
Zimmermann, B. et al., “Novel Real-Time Quantitative PCR Test for Trisomy 21”, Clinical Chemistry, vol. 48, No. 2, 2002, 362-363.
Zimmermann, B. et al., “Optimized Real-Time Quantitative PCR Measurement of Male Fetal DNA in Maternal Plasma”, Clinical Chemistry, vol. 51, No. 9, 2005, 1598-1604.
Zimmermann, B. et al., “Real-Time Quantitative Polymerase Chain Reaction Measurement of Male Fetal DNA in Maternal Plasma”, Methods in Molecular Medicine, vol. 132, 2007, 43-49.
Zimmermann, B. et al., “Use of Real-Time Polymerase Chain Reaction for the Detection of Fetal Aneuploidies”, Methods in Molecular Biology, vol. 336, Feb. 2006, 83-100.
Zlotogora, J. , “Penetrance and expressivity in the molecular age”, Genetics in Medicine, vol. 5, No. 5, 2003, 347-352.
Alizadeh, Mehdi et al., “Quantitative Assessment of Hematopoietic Chimerism after Bone Marrow Transplantation by Real-time Quantitative Polymerase Chain Reaction”, Blood, vol. 99, No. 12, Jun. 15, 2002, 4618-4625.
Ansorge, Wilhelm J. , “Next-generation DNA Sequencing Techniques”, New Biotechnology, vol. 25, No. 4, Feb. 2, 2009, 195-203.
Avent, Neil D. et al., “Cell-free Fetal DNA in the Maternal Serum and Plasma: Current and Evolving Applications”, Current Opinion in Obstretrics and Gynecology, vol. 21, No. 2, Apr. 1, 2009, 175-179.
Ayala, et al., “Long-Term Follow-Up of Donor Chimerism Tolerance After Human Liver Transplantation”, Liver Transplantation, vol. 15, No. 6, May 28, 2009, 581-591.
Balduini, et al., “Utility of Biochemical Markers in the Follow-up Heart Transplant Recipients”, Transplantation Proceedings, vol. 35, No. 8, Dec. 1, 2003, 3075-3078.
Barbazuk, et al., “SNP Discovery via 454 Transcriptome Sequencing”, The Plant Journal, vol. 51, Jul. 27, 2007, 910-918.
Baxter-Lowe, et al., “Tracking Microchimeric DNA in Plasma to Diagnose and Manage Organ Transplant Rejection”, Clinical Chemistry, vol. 52, No. 4, Apr. 1, 2006, 559-561.
Beck, et al., “Next Generation Sequencing of Serum Circulating Nucleic Acids from Patients with Invasive Ductal Breast Cancer Reveals Differences to Healthy and Nonmalignant Controls”, Molecular Cancer Research, vol. 8, No. 3, Mar. 1, 2010, 335-342.
Belostotsky, Dmitry A. et al., “Plant Systems Biology”, Methods in Molecular Biology, vol. 553, Aug. 25, 2009, 3-408.
Bender, et al., “A Multiplex SNP Typing Approach for the DNA Pyrosequencing Technology”, International Congress Series, vol. 1288, Apr. 20, 2006, 73-75.
Bentley, et al., “High-resolution, High-throughput HLA Genotyping by Next-generation Sequencing”, Tissue Antigens, vol. 74, No. 5, Nov. 1, 2009, 393-403.
Bordoni, et al., “Evaluation of Human Gene Variant Detection in Amplicon Pools by the GS-FLX Parallel Pyrosequencer”, BMC Genomics, vol. 9, Oct. 8, 2008, 1-8.
Brastianos, P. K. et al., “Genomic Characterization of Brain Metastases Reveals Branched Evolution and Potential Therapeutic Targets”, Cancer Discovery, vol. 5, Sep. 26, 2015, 1164-1177.
Brockman, et al., “Quality Scores and SNP Detection in Sequencing-by-synthesis Systems”, Genome Research, vol. 18, No. 5, May 1, 2008, 763-770.
Burkova, E. E. et al., “Extremely Stable Soluble High Molecular Mass Multi-Protein Complex with DNase Activity in Human Placental Tissue”, PLOS One, vol. 9, No. 11: e011234, Nov. 26, 2014, 26 pages.
Bustamante-Aragones, Ana et al., “New Strategy for the Prenatal Detection/Exclusion of Paternal Cystic Fibrosis Mutations in Maternal Plasma”, Journal of Cystic Fibrosis, vol. 7, Issue 6, Nov. 1, 2008, 505-510.
Butler, et al., “Cardiovascular Magnetic Resonance in the Diagnosis of Acute Heart Transplant Rejection: A Review”, Journal of Cardiovascular Magnetic Resonance, vol. 11, No. 1, Mar. 12, 2009, 1-11.
Castleberry, C. D. et al., “Quantification of Circulating Cell—Free DNA in Pediatric Heart Transplant Recipients”, Journal of Heart and Lung Transplantation, vol. 30, No. 4, Apr. 1, 2011, S139.
Chan, Allen K. et al., “Cell-free Nucleic Acids in Plasma, Serum and Urine: A New Tool in Molecular Diagnosis”, Annals of Clinical Biochemistry, vol. 40, Issue 2, Mar. 1, 2003, 122-130.
Church, et al., “Multiplex DNA Sequencing”, Science, vol. 240, No. 4849, Apr. 8, 1988, 185-188.
Crespo-Leiro, et al., “Gene Expression Profiling for Monitoring Graft Rejection in Heart Transplant Recipients”, Transplantation Proceedings, vol. 41, No. 6, Jul. 1, 2009, 2240-2243.
Dahl, et al., “Multigene Amplification and Massively Parallel Sequencing for Cancer Mutation Discovery”, Proceedings of the National Academy of Sciences, vol. 104, No. 22, May 29, 2007, 9387-9392.
Dambrin, et al., “A New Rejection Criteria in the Heterotopically Placed Rat Heart by Non-invasive Measurement of Dp/Dtmax”, The Journal of Heart and Lung Transplantation, vol. 18, No. 6, Jun. 18, 1999, 524-531.
Delgado, P. O. et al., “Characterization of cell-free circulating DNA in plasma in patients with prostate cancer”, Tumor Biol., vol. 34, 983-986, 2013.
Doostzadeh, et al., “High Throughput Automated Allele Frequency Estimation by Pyrosequencing”, PLoS ONE, vol. 3, No. 7, Jul. 16, 2008, 1-4.
Fitzgerald, , “Intravascular Ultrasound Imaging of Coronary Arteries: Is Three Layers the Norm?”, Circulation, vol. 86, No. 1, Jul. 1, 1992, 154-158.
Fournie, et al., “Plasma DNA as a Marker of Cancerous Cell Death. Investigations in Patients Suffering From Lung Cancer and in Nude Mice Bearing Human Tumours”, Cancer Letters, vol. 91, No. 2, May 8, 1995, 221-227.
Fredriksson, M et al., “Assessing Hematopoietic Chimerism After Allogeneic Stem Cell Transplantation by Multiplexed SNP Genotyping Using Microarrays and Quantitive Analysis of SNP Alleles”, Leukemia, vol. 18, Issue 2, Dec. 4, 2003, 255-266.
Fu, Yao-Wen et al., “Presence of Donor-and-recipientderived Dna Microchimerism in the Cell-free Blood Samples of Renal Transplantation Recipients Associates With the Acceptance of Transplanted Kidneys”, Asian Journal of Andrology, vol. 8, No. 4, Jul. 1, 2006, 477-482.
Gao, et al., “Relation of Donor Age and Preexisting Coronary Artery Disease on Angiography and Intracoronary Ultrasound to Later Development of Accelerated Allograft Coronary Artery Disease”, The American Journal of Cardiology, vol. 29, No. 3, Mar. 1, 1997, 623-629.
Geifman-Holtzman, et al., “Prenatal Diagnosis: Update on Invasive Versus Noninvasive Fetal Diagnostic Testing From Maternal Blood”, Expert Review of Molecular Diagnostics, vol. 8, No. 6, Nov. 1, 2008, 727-751.
Gielis, E. M. et al., “Cell-Free DNA: An Upcoming Biomarker in Transplantation”, American Journal of Transplantation, vol. 15, 2015, 2541-2551.
Gineikiene, Egle et al., “Single Nucleotide Polymorphism-based System Improves the Applicability of Quantitative PCR for Chimerism Monitoring”, Journal of Molecular Diagnostics, vol. 11, No. 1, Jan. 1, 2009, 66-74.
Gingeras, et al., “Fifty Years of Molecular (DNA/RNA) Diagnostics”, Clinical Chemistry, vol. 51, No. 3, Jan. 13, 2005, 661-671.
Girnita, Diana M. et al., “Disparate Distribution of 16 Candidate Single Nucleotide Polymorphisms Among Racial and Ethnic Groups of Pediatric Heart Transplant Patients”, Transplantation, vol. 82, No. 12, Dec. 27, 2006, 1774-1780.
Go, A. T. et al., “Non-invasive aneuploidy detection using free fetal DNA and RNA in maternal plasma: recent progress and future possibilities”, Human Reproduction Update, vol. 17, No. 3, 2011, 372-382.
Goncalves-Primo, A. et al., “Investigation of Apoptosis-Related Gene Expression Levels in Preimplantation Biopsies as Predictors of Delayed Kidney Graft Function”, Transplantation, vol. 97, No. 12, Jun. 27, 2014.
Gordon, et al., “Disease-Specific Motifs Can Be Identified in Circulating Nucleic Acids From Live Elk and Cattle Infected With Transmissible Spongiform Encephalopathies”, Nucleic Acids Research, vol. 37. No. 2, Feb. 1, 2009, 550-556.
Gorringe, et al., “Large-scale Genomic Analysis of Ovarian Carcinomas”, Molecular oncology, vol. 3, No. 2, Apr. 1, 2009, 157-164.
Gouya, et al., “Coronary Artery Stenosis in High-risk Patients: 64-section Ct and Coronary Angiography—Prospective Study and Analysis of Discordance”, Radiology, vol. 252, No. 2, Aug. 1, 2009, 377-385.
Gregory, et al., “Comparison of Sixty-Four-Slice Multidetector Computed Tomographic Coronary Sngiography to Coronary Angiography With Intravascular Ultrasound for The Detection of Transplant Vasculopathy”, The American Journal of Cardiology, vol. 98, No. 7, Aug. 4, 2006, 877-884.
Hahn, et al., “Non-invasive Prenatal Diagnostics Using Next Generation Sequencing: Technical, Legal and Social Challenges”, Expert Opinion on Medical Diagnostics, vol. 6, No. 6, Nov. 1, 2012, 517-528.
Handley, D. et al., “Noninvasive prenatal chromosomal aneuploidy detection using plasma cell-free nucleic acid”, Expert Rev Obstet. Gynecol, vol. 5, No. 5, 2010, 581-590.
Hao, T. B. et al., “Circulating cell-free DNA in serum as a biomarker for diagnosis and prognostic prediction of colorectal cancer”, British Journal of Cancer, vol. 111, Aug. 26, 2014, 1482-1489.
Hidestrand, M. et al., “Highly Sensitive Noninvasive Cardiac Transplant Rejection Monitoring Using Targeted Quantification of Donor-Specific Cell-Free Deoxyribonucleic Acid”, Journal of the American College of Cardiology, vol. 63, No. 12, 1224-1226, 2014.
Hoberman, Rose et al., “A Probabilistic Approach for SNP Discovery in High-throughput Human Resequencing Data”, Genome Research, vol. 19, Jul. 15, 2009, 1542-1552.
Hochberg, et al., “A Novel Rapid Single Nucleotide Polymorphism (SNP)-Based Method for Assessment of Hematopoietic Chimerism After Allogeneic Stem Cell Transplantation”, Blood, vol. 101, No. 1, Jan. 1, 2003, 363-369.
Hodges, et al., “Genome-wide In Situ Exon Capture for Selective Resequencing”, Nature Genetics, vol. 39, No. 12, Nov. 4, 2007, 1522-1527.
Hoffmann, Steven et al., “Donor Genomics Influence Graft Events: The Effect of Donor Polymorphisms on Acute Rejection and Chronic Allograft Nephropathy”, Kidney International, vol. 66, No. 4, Oct. 1, 2004, 1686-1693.
Holt, et al., “Detecting SNPS and Estimating Allele Frequencies in Clonal Bacterial Populations by Sequencing Pooled DNA”, Bioinformatics, vol. 25, No. 16, Aug. 15, 2009, 2074-2075.
Horai, et al., “Novel Implantable Device to Detect Cardiac Allograft Rejection”, Circulation, vol. 120, No. Suppl 1, Sep. 15, 2009, 185-190.
Hubacek, et al., “Detection of Donor DNA After Heart Transplantation How Far Could It Be Affected by Blood Transfusion and Donor Chimerism?”, Transplantation Proceedings, vol. 39, Jun. 1, 2007, 1593-1595.
Illumina, “Genomic Sequencing”, Data Sheet: Sequencing, 2010, 38939-38944.
Ingman, et al., “SNP Frequency Estimation Using Massively Parallel Sequencing of Pooled DNA”, European Journal of Human Genetics, vol. 17, No. 3, Oct. 15, 2008, 383-386.
Interewicz, B. et al., “DNA Released from Ischemic and Rejecting Organs as an Indicator of Graft Cellular Damage”, Annals of Transplantation, vol. 9, No. 2, May 1, 2004, 42-45.
Jung, K. et al., “Cell-free DNA in the blood as a solid tulnor biomarker—A critical appraisal of the literature”, Clinica Chimica Acta, vol. 411, 2010, 1611-1624.
Kapadia, Samir R. et al., “Impact of Intravascular Ultrasound in Understanding Transplant Coronary Artery Disease”, Current Opinion in Cardiology, vol. 14, No. 2, Mar. 1, 1999, 1-19.
Karger, et al., “DNA Sequencing by Capillary Electrophoresis”, Electrophoresis, vol. 30, Supplement 1, Jun. 1, 2009, 1-11.
Karoui, Noureddine E. et al., “Getting More from Digital SNP Data”, Statistics in Medicine, vol. 25, Issue 18, Jan. 5, 2006, 3124-3133.
Kass, et al., “Diagnosis of Graft Coronary Artery Disease”, Current Opinion in Cardiology, vol. 22, No. 2, Mar. 1, 2007, 139-145.
Kathiresan, Sekar et al., “Genome-wide Association of Early-onset Myocardial Infarction With Common Single Nucleotide Polymorphisms, Common Copy Number Variants, and Rare Copy Number Variants”, Nature Genetics, vol. 41, No. 3, Mar. 1, 2009, 1-23.
Kircher, Martin et al., “Improved Base Calling for the Illumina Genome Analyzer Using Machine Learning Strategies”, Genome Biology, vol. 10, Issue 8, Article No. R83, Aug. 14, 2009, 83.2-83.9.
Kobashigawa, et al., “Multicenter Intravascular Ultrasound Validation Study Among Heart Transplant Recipients”, Journal of the American College of Cardiology, vol. 45, No. 9, May 3, 2005, 1532-1537.
Koboldt, et al., “VarScan: Variant Detection in Massively Parallel Sequencing of Individual and Pooled Samples”, Bioinformatics, vol. 25, No. 17, Jun. 19, 2009, 2283-2285.
Koelman, et al., “Donor-derived Soluble HLA Plasma Levels Can Not Be Used to Monitor Graft Rejection in Heart Transplant Recipients”, Transplant Immunology, vol. 8, No. 1, Mar. 1, 2000, 57-64.
Koldehoff, Michael et al., “Quantitative analysis of chimerism after allogeneic stem cell transplantation by real-time polymerase chain reaction with single nucleotide polymorphisms, standard tandem repeats, and Y-chromosome-specific sequences”, American Journal of Hematology, vol. 81, No. 10, Jul. 12, 2006, 735-746.
Korn, et al., “Integrated Genotype Calling and Association Analysis of SNPS, Common Copy Number Polymorphisms and Rare CNVS”, Nature Genetics, vol. 40, No. 10, Oct. 1, 2008, 1253-1260.
Lambert, et al., “Quantification of Maternal Microchimerism by HLA-Specific Real-time Polymerase Chain Reaction”, Arthritis and Rheumatism, vol. 50, No. 3, Mar. 1, 2004, 906-914.
Lavebrat, et al., “Single Nucleotide Polymorphism (SNP) Allele Frequency Estimation in DNA Pools Using Pyrosequencing”, Nature Protocols, vol. 1, No. 6, Jan. 11, 2007, 2573-2582.
Lavebratt, Catharina et al., “Pyrosequencing-based SNP Allele Frequency Estimation in DNA Pools”, Human Mutation, vol. 23, Issue 1, Dec. 19, 2003, 92-97.
Leamon, John H. et al., “A massively parallel PicoTiterPlate based platform for discrete picoliter-scale polymerase chain reactions”, Electrophoresis, vol. 24, No. 21, Nov. 1, 2003, 3769-3777.
Levsky, Jeffrey M. et al., “Efficacy of Coronary Ct Angiography Where We Are, Where We Are Going and Where We Want to Be”, Journal Of Cardiovascular Computed Tomography, vol. 3, Supplement 2, Nov. 2, 2009, s99-s108.
Li, et al., “Detection of SNPs in the Plasma of Pregnant Women and in the Urine of Kidney Transplant Recipients by Mass Spectrometry”, Annals of the New York Academy of Sciences, vol. 1075, Sep. 5, 2006, 144-147.
Li, et al., “Mapping Short DNA Sequencing Reads and Calling Variants Using Mapping Quality Scores”, Genome Research, vol. 18, No. 11,, Aug. 19, 2008, 1851-1858.
Li, et al., “Multiplex Padlock Targeted Sequencing Reveals Human Hypermutable CpG Variations”, Genome Research, vol. 19, No. 9, Jun. 12, 2009, 1606-1615.
Li, et al., “SOAP2: An Improved Ultrafast Tool for Short Read Alignment”, Bioinformatics, vol. 25, No. 15, Aug. 1, 2009, 1966-1967.
Li, Ying et al., “Detection of Donor-specific DNA Polymorphisms in the Urine of Renal Transplant Recipients”, Clinical Chemistry, vol. 49, No. 4, Apr. 1, 2003, 655-658.
Liljedahl, Ulrika et al., “Detecting Imbalanced Expression of SNP Alleles by Minisequencing on Microarrays”, BMC Biotechnology, vol. 4, Article No. 24, Oct. 22, 2004, 1-10.
Lo, et al., “Next-generation Sequencing of Plasma/Serum DNA: An Emerging Research and Molecular Diagnostic Tool”, Clinical Chemistry, vol. 55, No. 4, Apr. 1, 2009, 607-608.
Lo, et al., “Presence of Donor-specific Dna in Plasma of Kidney and Liver-transplant Recipients”, Lancet, vol. 351, No. 9112, May 2, 1998, 1329-1330.
Lo, Y M. et al., “Circulating Nucleic Acids in Plasma and Serum: An Overview”, Annals of the New York Academy of Sciences, vol. 945, Sep. 1, 2001, 1-7.
Lui, Yanni Y. et al., “Circulating DNA in Plasma and Serum: Biology, Preanalytical Issues and Diagnostic Applications”, Clinical Chemistry and Laboratory Medicine, vol. 40, No. 10, Oct. 29, 2002, 962-968.
Lui, Yanni Y. et al., “Origin of Plasma Cell-Free DNA after Solid Organ Transplantation”, Clinical Chemistry, vol. 49, No. 3, Mar. 1, 2003, 495-496.
Lun, Fiona M. et al., “Microfluidics Digital PCR Reveals a Higher Than Expected Fraction of Fetal DNA in Maternal Plasma”, Clinical Chemistry, vol. 54, No. 10, Aug. 14, 2008, 1664-1672.
Maron, Jill L. et al., “Cell-free Fetal DNA Plasma Extraction and Realtime Polymerase Chain Reaction Quantification”, Methods in Molecular Medicine, vol. 132, Aug. 1, 2007, 51-63.
Martinez-Lopez, J. et al., “Real-time PCR Quantification of Haematopoietic Chimerism after Transplantation: A Comparison Between TaqMan and Hybridization Probes Technologies”, International Journal of Laboratory Hematology, vol. 32, Issue 1, Part 1, May 12, 2009, e17-e25.
Martins, et al., “Quantification of Donor-derived DNA in Serum: A New Approach of Acute Rejection Diagnosis in a Rat Kidney Transplantation Model”, Transplantation Proceedings, vol. 37, No. 1,, Jan. 1, 2005, 87-88.
Milani, et al., “Genotyping Single Nucleotide Polymorphisms by Multiplex Minisequencing Using Tag-arrays”, DNA Microarrays for Biomedical Research, vol. 529, Jan. 16, 2009, 215-229.
Mitra, S. et al., “Chapter 4 Classification Techniques”, Introduction to Machine Learning and Bioinformatics, First Edition, 2008, 101-127.
Moreira, et al., “Increase in and Clearance of Cell-free Plasma DNA in Hemodialysis Quantified by Real-time PCR”, Clinical Chemistry and Laboratory Medicine, vol. 44, No. 12, Dec. 13, 2006, 1410-1415.
Nakamura, N. et al., “Ex Vivo Liver Perfusion with Arterial Blood from a Pig with Ischemic Liver Failure”, Artificial Organs, vol. 23, No. 2, 1999, 153-160.
Neve, B. et al., “Rapid SNP Allele Frequency Determination in Genomic DNA Pools by Pyrosequencing”, BioTechniques, vol. 32, No. 5, May 1, 2002, 1138-1142.
Ng, et al., “Multiplex Sequencing of Paired-end Ditags (MS-PET): A Strategy for The Ultra-high-throughput Analysis of Transcriptomes and Genomes”, Nucleic Acids Research, vol. 34, No. 12, Jul. 13, 2006, 1-10.
Norton, S. E. et al., “A stabilizing reagent prevents cell-free DNA contamination by cellular DNA in plasma during blood sample storage and shipping as determined by digital PCR”, Clin Biochem., vol. 46, No. 15, Oct. 2013, 1561-1565.
Nui, A. et al., “The Functional Integrity of a Normothermic Perfusion System Using Artificial Blood in Pig Liver”, Journal of Surgical Research, Vo. 131, 2006, 189-198.
Oeth, et al., “iPLEX™ Assay: Increased Plexing Efficiency and Flexibility for MassARRAY System Through Single Base Primer Extension with Mass-Modified Terminators”, Sequenom Application Note Doc. No. 8876-006, Apr. 28, 2005, 1-12.
Okou, et al., “Microarray-based Genomic Selection for High-throughput Resequencing”, Nature Methods, vol. 4, No. 11, Oct. 14, 2007, 907-909.
Okou, David T. et al., “Combining Microarray-based Genomic Selection (MGS) with the Illumina Genome Analyzer Platform to Sequence Diploid Target Regions”, Annals of Human Genetics, vol. 73, No. 5, Aug. 6, 2009, 502-513.
Olerup, O. et al., “HLA-DR typing by PCR amplification with sequence-specific primers (PCR-SSP) in 2 hours: an alternative to serological DR typing in clinical practice including donor-recipient matching in cadaveric transplantation”, Tissue Antigens, vol. 39, No. 5, May 1992, 225-235.
Oliver, Dwight H. et al., “Use of Single Nucleotide Polymorphisms (SNP) and Real-time Polymerase Chain Reaction for Bone Marrow Engraftment Analysis”, The Journal of Molecular Diagnostics, vol. 2, No. 4, Nov. 1, 2000, 202-208.
Olivier, et al., “The Invader Assay for SNP Genotyping”, Mutation Research, vol. 573, No. 1-2, Jun. 3, 2005, 103-110.
Orsouw, et al., “Complexity Reduction of Polymorphic Sequences (Crops): A Novel Approach for Large-scale Polymorphism Discovery in Complex Genomes”, PLoS ONE, vol. 11:e1172, Nov. 14, 2017, 1-10.
Paik, P. K. et al., “Next-Generation Sequencing of Stage IV Squamous Cell Lung Cancers Reveals an Association of P13K Aberrations and Evidence of Clonal Heterogeneity in Patients with Brain Metastases”, Cancer Discovery, vol. 5, Apr. 30, 2015, 610-621.
Pakstis, et al., “Candidate SNPs for a Universal Individual Identification Panel”, Human Genetics, vol. 121, No. 3-4,, Feb. 27, 2007, 305-317.
Pakstis, et al., “SNPS for Individual Identification”, Forensic Science International, vol. 1, May 22, 2008, 479-481.
Pinard, et al., “Assessment of Whole Genome Amplification-induced Bias Through High-throughput, Massively Parallel Whole Genome Sequencing”, BMC Genomics, vol. 7:216, Aug. 23, 2006, 1-21.
Pourmand, et al., “Multiplex Pyrosequencing”, Nucleic Acid Research, vol. 30, No. 7, Apr. 1, 2002, 1-5.
Prabhu, et al., “Overlapping Pools for High-throughput Targeted Resequencing”, Genome Research, vol. 19, May 15, 2009, 1254-1261.
Puszyk, William M. et al., “Noninvasive Prenatal Diagnosis of Aneuploidy Using Cell-free Nucleic Acids in Maternal Blood: Promises and Unanswered Questions”, Prenatal Diagnosis, vol. 28, No. 1, Nov. 16, 2007, 1-6.
Raindance Technologies, et al., “RainDance Technologies Introduces the RDT 1000”, RainDance Technologies, Nov. 12, 2008.
Ravipati, Goutham et al., “Comparison of Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value of Stress Testing Versus 64-Multislice Coronary Computed Tomography Angiography in Predicting Obstructive Coronary Artery Disease Diagnosed by Coronary Angiogr”, The American Journal of Cardiology, Coronary Artery Disease. vol. 101, Issue 6, Mar. 15, 2008, 774-775.
Roche Diagnostics, et al., “Versatile Nucleic Acid Purification”, MagnaPure Manual, Feb. 3, 2012.
Rothberg, et al., “The Development and Impact of 454 Sequencing”, Nature Biotechnology, vol. 26, No. 10, Oct. 9, 2008, 1117-1124.
Ruschendorf, et al., “Alohomora: A Tool for Linkage Analysis Using 10K SNP Array Data”, Bioinformatics Applications Notes, vol. 21, No. 9, Jan. 12, 2005, 2123-2125.
Sanger, et al., “Nucleotide Sequence of Bacteriophage Lambda DNA”, Journal of Molecular Biology, vol. 162, No. 4, Dec. 25, 1982, 729-773.
Schaaf, C. P. et al., “Copy Number and SNP Arrays in Clinical Diagnostics”, Annu. Rev. Genomics Hum. Genet., vol. 12, 2011, 25-51.
Sharples, et al., “Diagnostic Accuracy of Coronary Angiography and Risk Factors for Post-heart-transplant Cardiac Allograft Vasculopathy”, Transplantation, vol. 76, No. 4, Aug. 27, 2003, 679-682.
Smith, et al., “Rapid Whole-genome Mutational Profiling using Nextgeneration Sequencing Technologies”, Genome Research, vol. 18, Sep. 4, 2008, 1638-1642.
Smith, James F. et al., “Cell-free Fetal DNA in Maternal Plasma”, Neo Reviews, vol. 9, No. 8, Aug. 1, 2008, e332-e337.
Solexa, “Application Note: DNA Sequencing”, 2006, pp. 1-2.
Spes, et al., “Diagnostic and Prognostic Value of Serial Dobutamine Stress Echocardiography for Noninvasive Assessment of Cardiac Allograft Vasculopathy: A Comparison With Coronary Angiography and Intravascular Ultrasound”, Circulation, vol. 100, No. 5, Aug. 3, 1999, 509-515.
Spindler, K.L. G. et al., “Cell-free DNA in healthy individuals, noncancerous disease and strong prognostic value in colorectal cancer”, International Journal of Cancer, vol. 135, 2014, 2984-2991.
Stiller, et al., “Direct Multiplex Sequencing (DMPS)—A Novel Method for Targeted High-thoroughput Sequencing of Ancient and Highly Degraded DNA”, Genome Research, vol. 19, No. 10, Jul. 27, 2009, 1843-1848.
Stolerman, Elliot S. et al., “Haplotype structure of the ENPP1 Gene and Nominal Association of the K121Q missense single nucleotide polymorphism with glycemic traits in the Framingham Heart Study”, Diabetes, vol. 57, Issue 7, Jul. 1, 2008, 1971-1977.
Stone, J. P. et al., “Ex Vivo Normothermic Perfusion Induces Donor-Derived Leukocyte Mobilization and Removal Prior to Renal Transplantation”, Kidney Int Rep., vol. 1, No. 4, Aug. 6, 2016, 230-239.
Takala, et al., “A High-throughput Method for Quantifying Alleles and Haplotypes of the Malaria Vaccine Candidate Plasmodium Falciparum Merozoite Surface Protein-1 19 kDa”, Malaria Journal, vol. 5:31, Apr. 20, 2006, 1-10.
Tong, et al., “Diagnostic Developments Involving Cell-free (Circulating) Nucleic Acids”, Clinica Chimica Acta, vol. 363, No. (1-2), Aug. 26, 2005, 187-196.
Toshikazu, et al., “Estimation of Haplotype Frequencies, Linkagedisequilibrium Measures, and Combination of Haplotype Copies in Each Pool by Use of Pooled DNA Data”, American Journal of Human Genetics, vol. 72, Jan. 17, 2003, 384-398.
Troeger, C. et al., “Approximately Half of the Erythroblasts in Maternal Blood are of Fetal Origin”, Molecular Human Reproduction, vol. 5, No. 12, Dec. 1, 1999, 1162-1165.
Tsang, Jason C. et al., “Circulating Nucleic Acids in Plasma/Serum”, Pathology, vol. 39, No. 2, Apr. 1, 2007, 197-207.
Tuzcu, et al., “Intravascular Ultrasound Evidence of Angiographically Silent Progression in Coronary Atherosclerosis Predicts Long-term Morbidity and Mortality After Cardiac Transplantation”, The American Journal of Cardiology, vol. 45, No. 9, May 3, 2005, 1538-1542.
Umetani, N. et al., “Increased Integrity of Free Circulating DNA in Sera of Patients with Colorectal or Periampullary Cancer: Direct Quantitative PCR for ALU Repeats”, Clinical Chemistry, vol. 52, No. 6, 2006, 1062-1069.
Verlaan, et al., “Allele-specific Chromatin Remodeling in the ZPBP22/GSDMB/ORMDL3 Locus Associated with the Risk of Asthma and Autoimmune Disease”, The American Journal of Human Genetics, vol. 85, No. 3, Sep. 11, 2009, 377-393.
Verlaan, et al., “Targeted Screening of Cis-Regulatory Variation in Human Haplotypes”, Genome Research, vol. 19, No. 1, Jan. 1, 2009, 118-127.
Vlaminck, I. D. et al., “Circulating Cell-Free DNA Enables Noninvasive Diagnosis of Heart Transplant Rejection”, Sci Transl Med., vol. 6, No. 241, Jun. 18, 2018, 26 pages.
Voelkerding, et al., “Next-generation Sequencing: From Basic Research to Diagnostics”, Clinical Chemistry, vol. 55, No. 4, Apr. 1, 2009, 641-658.
Wasson, Jon et al., “Assessing Allele Frequencies of Single Nucleotide Polymorphisms in DNA Pools by Pyrosequencing Technology”, BioTechniques, vol. 32, No. 5, May 1, 2002, 1144-1152.
Wellnhofer, et al., “Angiographic Assessment of Cardiac Allograft Vasculopathy: Results of a Consensus Conference of the Task Force for Thoracic Organ Transplantation of the German Cardiac Society”, Transplant International, vol. 23, No. 11, Aug. 19, 2010, 1094-1104.
Wiedmann, Ralph T. et al., “SNP Discovery in Swine by Reduced Representation and High Throughput Pyrosequencing”, BMC Genetics, vol. 9, Article No. 81, Dec. 4, 2008, 1-7.
Wilkening, Stefan et al., “Determination of Allele Frequency in Pooled DNA: Comparison of Three PCR-based Methods”, Bio Techniques, vol. 39, No. 6, May 30, 2005, 853-857.
Wong, K. H. et al., “Multiplex Illumina Sequencing Using DNA Barcoding”, Current Protocols in Molecular Biology, vol. 101, Jan. 2013, 7.11.1-7.11.11.
Wright, Caroline et al., “Cell-free Fetal Nucleic Acids for Noninvasive Prenatal Diagnosis”, PHG Foundation, Jan. 1, 2009, 1-64.
Xia, et al., “Simultaneous Quantitative Assessment of Circulating Cell-free Mitochondrial and Nuclear DNA by Multiplex Real-time PCR”, Genetics and Molecular Biology, vol. 32, No. 1, Mar. 1, 2009, 20-24.
Xian, et al., “Advances on Circulating Fetal DNA in Maternal Plasma”, Chinese Medical Journal, vol. 120, No. 14, Jul. 2, 2007, 1256-1259.
Xie, et al., “CNV-SEQ, A New Method to Detect Copy Number Variation Using Highthroughput Sequencing”, BMC Bioinformatics, vol. 10:80, Mar. 6, 2009, 1-9.
Xue, et al., “Optimizing the Yield and Utility of Circulating Cell-free DNA From Plasma and Serum”, Clinica Chimica Acta, vol. 404, No. 2, Jun. 27, 2009, 100-104.
Yang, Lin et al., “64-MDCT Coronary Angiography of Patients With Atrial Fibrillation: Influence of Heart Rate on Image Quality and Efficacy in Evalution of Coronary Artery Disease”, AJR, vol. 193, No. 3, Sep. 1, 2009, 795-801.
Yijen, et al., “Noninvasive Evaluation of Cardiac Allograft Rejection by Cellular and Functional Cardiac Magnetic Resonance”, JACC Cardiovacular Imaging, vol. 2, No. 6, Jun. 1, 2009, 731-741.
Zhang, et al., “Diagnosis of Acute Rejection by Analysis of Urinary DNA of Donor Origin in Renal Transplant Recipients”, Transplantation Proceedings, vol. 33, No. 1-2, Feb. 2001, 380-381.
Zhang, et al., “Use of PCR and PCR-SSP for Detection of Urinary Donor-Origin Dna in Renal Transplant Recipients With Acute Rejection”, Chinese Medical Journal, vol. 116, No. 2, Feb. 2003, 191-194.
Zhang, Kun et al., “Digital RNA Alleotyping Reveals Tissue-specific and Allele-specific Gene Expression in Human”, Nature Methods, vol. 6, No. 8, Jul. 20, 2009, 613-618.
Zhao, et al., “Urinary Thromboxane B2 In Cardiac Transplant Patients as a Screening Method of Rejection”, Prostaglandins, vol. 54, No. 6, Dec. 1, 1997, 881-889.
Zhong, Xiao Y. et al., “Cell-free DNA in Urine: A Marker for Kidney Graft Rejection, but Not for Prenatal Diagnosis ?”, Annals of the New York Academy of Sciences, vol. 945, Sep. 1, 2001, 250-257.
Zhou, et al., “Pyrosequencing, A High-throughput Method for Detecting Single Nucleotide Polymorphisms in the Dihydrofolate Reductase and Dihydropteroate Synthetase Genes of Plasmodiym Falciparum”, Journal of Clinical Microbiology, vol. 44, No. 11, Nov. 1, 2006, 3900-3910.
Zimmer, et al., “Transplant Coronary Artery Disease”, JACC: Cardiovascular Interventions, vol. 3, No. 4, Apr. 1, 2010, 367-377.
Bau, Stephan et al., “Targeted next-generation sequencing by specific capture of multiple genomic loci using low-volume microfluidic DNA arrays”, Anal Bioanal Chem, vol. 393, 2009, 171-175.
Lanman, et al., “Analytical and Clinical Validation of a Digital Sequencing Panel for Quantitative, Highly Accurate Evaluation of Cell-Free Circulating Tumor DNA”, Plos One, DOI:10.1371/journal.pone.0140712, 2015, 1-27.
Lee, et al., “ERBB2 kinase domain mutation in the lung squamous cell carcinoma”, Cancer Letters, vol. 237, 2006, 89-94.
Park, et al., “First-Line Erlotinib Therapy Until and Beyond Response Evaluation Criteria in Solid Tumors Progression in Asian Patients With Epidermal Growth Factor Receptor Mutation-Positive Non-Small-Cell Lung Cancer”, JAMA Oncol., 2(3), 2015, 305-312.
Paruzynski, A. et al., “Genome-wide high-throughput integrome analyses by nrLAM-PCR and next-generation sequencing”, Nature Protocols, vol. 5, No. 8, Jul. 8, 2010, 1379-1395.
Tseng, Jeng-Sen et al., “Dynamic Plasma EGFR Mutation Status as a Predictor of EGFR-TKI Efficacy in Patients with fGFR-Mutant Lung Adenocarcinoma”, Thorac Oncol., vol. 10, 2015, 603-610.
Ahmadian, A et al., “Analysis of the p53 Tumor Suppressor Gene by Pyrosequencing”, BioTechniques, vol. 28, Jan. 2000, 140-147.
Benesova, et al., “Mutation-based detection and monitoring of cell-free tumor DNA in peripheral blood of cancer patients”, Analytical Biochemistry, vol. 433, 2013, 227-234.
Cawkwell, L et al., “Rapid detection of allele loss in colorectal tumours using microsatellites and fluorescent DNA technology”, Br. J. Cancer, vol. 67, 1993, 1262-1267.
Chun, et al., “Dual priming oligonucleotide system for the multiplex detection of respiratory viruses and SNP genotyping of CYP2C19 gene”, Nucleic Acids Research, vol. 35, No. 6, 2007, 1-6.
Croft, Jr., Daniel et al., “Performance of Whole-Genome Amplified DNA Isolated from Serum and Plasma on High-Density Single Nucleotide Polymorphism Arrays”, Journal of Molecular Diagnostics, 10(3), 2008, 249-257.
Deusen, et al., “Comprehensive Detection of Driver Mutations in Acute Myeloid Leukemia Including Internal Tandem Duplications with Anchored Multiplex PCR and Next-Generation Sequencing”, Blood, vol. 128, No. 22, 2016, 5251.
Diehl, et al., “Detection and quantification of mutations in the plasma of patients with colorectal tumors”, Proceedings of the National Academy of Sciences, vol. 102, 2005, 16368-16373.
Findlay, I. et al., “Allelic drop-out and preferential amplification in single cells and human blastomeres: implications for preimplantation diagnosis of sex and cystic fibrosis”, Molecular Human Reproduction, vol. 1, 1995, 1609-1618.
Gusella, J. et al., “Precise localization of human B-globin gene complex on chromosome 11*”, Proc. Natl. Acad. Sci USA, vol. 76, No. 10, Oct. 1979, 5239-5243.
Hainer & Fazzio, “High-Resolution Chromatin Profiling Using CUT&RUN”, Current Protocols in Molecular Biology, 2019, 1-22.
Illumina, “Illumina Adapter Sequences”, Published by Illumina, 2018, 1-45.
Jordens, et al., “Amplification with molecular beacon primers and reverse line blotting for the detection and typing of human papillomaviruses”, Journal of Virological Methods, vol. 89, 2000, 29-37.
Kaboev, et al., “PCR hot start using primers with the structure of molecular beacons (hairpin-like structure)”, Nucleic Acids Research, vol. 28, 2000, 1-2.
Kittler, R. et al., “A Whole Genome Amplification Method to Generate Long Fragments from Low Quantities of Genomic DNA”, Analytical Biochemistry, vol. 300, 2002, 237-244.
Ku, et al., “Exome versus transcriptome sequencing in identifying coding region variants”, Expert Review of Molecular Diagnostics, vol. 12, 2012, 241-251.
Landegren, U. et al., “Reading Bits of Genetic Information: Methods for Single-Nucleotide Polymorphism Analysis”, Genome Research, vol. 8, No. 8, 769-776, 1997.
Lo, Y.M. D et al., “Prenatal Diagnosis of Fetal RhD Status by Molecular Analysis of Maternal Plasma”, The New England Journal of Medicine, vol. 339, No. 24, 1998, 1734-1738.
Marusyk, et al., “Causes and consequences”, Biochimica et Biophysica Acta, vol. 1805, 2010, 105-117.
Namlos, H.M et al., “Use of liquid biopsies to monitor disease progression in a sarcoma patient: a case report”, Bmc Cancer, vol. 17, No. 1, 2017, 2-3.
Nelson, C. M. et al., “Whole genome transcription profiling of Anaplasma phagocytohilum in human and tick host cells by tiling array analysis”, BMC Genomics, vol. 9, No. 364, Jul. 31, 2008, 16 pgs.
Ohya, K. et al., “Detection of the CTG Repeat Expansion in Congenital Myotonic Dystrophy”, Jpn J. Human Genet, vol. 42, 1997, 169-180.
Rechitsky, S et al., “Allele Dropout in Polar Bodies and Blastomeres”, Journal of Assisted Reproduction and Genetics, vol. 15, No. 5, 1998, 253-257.
Toth, T et al., “Prenatal Detection of Trisomy 13 From Amniotic Fluid by Quantitative Fluorescent Polymerase Chain Reaction”, Prenatal Diagnosis, vol. 18, 1998, 669-674.
Volckmar, et al., “A field guide for cancer diagnostics using cell-free DNA: From principles to practice and clinical applications”, Genes Chromosomes Cancer, 2018, 123-139.
Wagner, F. F. et al., “RHD gene deletion occurred in the Rhesus box”, Blood, vol. 95, No. 12, 2000, 3662-3668.
Burnham, P et al., “Single-stranded DNA library preparation uncovers the origin and diversity of ultrashort cell-free DNA in plasma”, Scientific Reports, vol. 6, No. 27859, Jun. 14, 2016, 9 pages.
Diaz, et al., “Liquid Biopsies: Genotyping Circulating Tumor DNA”, Journal of Clinical Oncology, vol. 32, No. 6, 2014, 579-586.
Grenda, R., “Torque teno (TTV) viral load as a biomarker of immunosuppressive strength after kidney transplantation in children”, Pediatric Nephrology, vol. 36, May 27, 2020, 3 pages.
Kulifaj, D. et al., “Development of a standardized real time PCR for Torque teno viruses (TTV) viral load detection and quantification: A new tool for immune monitoring”, Journal of Clinical Virology, vol. 105, 2018, 118-127.
Tie, et al., “Circulating tumor DNA as an early marker of therapeutic response in patients with metastatic colorectal cancer”, Annals of Oncology, vol. 26, No. 8, 2015, 1715-1722.
Related Publications (1)
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20200024653 A1 Jan 2020 US
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62404176 Oct 2016 US