Non-invasive determination of complete fetal genomes from cfDNA using HaploSeq

Information

  • Research Project
  • 9139622
  • ApplicationId
    9139622
  • Core Project Number
    R43HD087113
  • Full Project Number
    1R43HD087113-01A1
  • Serial Number
    087113
  • FOA Number
    PA-15-269
  • Sub Project Id
  • Project Start Date
    5/15/2016 - 8 years ago
  • Project End Date
    4/30/2017 - 7 years ago
  • Program Officer Name
    PARISI, MELISSA
  • Budget Start Date
    5/15/2016 - 8 years ago
  • Budget End Date
    4/30/2017 - 7 years ago
  • Fiscal Year
    2016
  • Support Year
    01
  • Suffix
    A1
  • Award Notice Date
    5/11/2016 - 8 years ago
Organizations

Non-invasive determination of complete fetal genomes from cfDNA using HaploSeq

? DESCRIPTION (provided by applicant): Genetic defects including single-gene Mendelian disorders and aneuploidies are among the leading causes of miscarriages and congenital birth disorders. Non-invasive prenatal testing (NIPT) is currently used to detect aneuploidies, but given the falling cost of next-generation sequencing (NGS), growing sophistication in molecular/biochemical methods, and ever increasing computational power, complete determination of the fetal genome (i.e., genotypes and haplotypes at the level of both SNVs and large aneuploidies) seems within reach. In this regard, cell-free DNA (cfDNA) in the maternal plasma has been targeted for non-invasive detection and diagnosis of fetal genetic defects, as cfDNA contains a mixture of genetic material derived from both the mother and the fetus. But because the fraction of cfDNA derived from the fetus is small (~10-15%), and consists of DNA that is highly fragmented, determination of fetal genotypes to the level of single-nucleotide variants (SNV) remains challenging, and presently involves excessively costly deep sequencing of cfDNA (up to 70X). In addition to knowledge of genotypes for diagnosing single gene Mendelian disorders, non-invasive deconvolution of fetal haplotypes is likely necessary for assessing the risk for complex multi-genic disorders. Efforts have been made to determine fetal genome with parental haplotypes, but the current methods to haplotype parents generally suffer from excessive costs, methodological and instrumentation complexity, and/or reliance on genetic material that is difficult or impossible to obtain; and they provide only partial haplotype information (short haplotype blocks and incomplete phasing of variants), hindering their utility in cost-effective complete fetal genome determination. Our team previously developed an innovative approach, HaploSeq, that can solve this problem. The HaploSeq method preserves haplotype information by preferentially recovering physically linked DNA variants on a homologous chromosome via proximity-ligation and NGS as per the established HiC protocol. HaploSeq achieves truly chromosome-spanning haplotypes, resolving the vast majority of alleles (>93%) at high accuracy (~99%) in human genomes, thus constituting the first scalable, cost-effective method for assembling complete human haplotypes. Here, we propose an innovative approach, HaploSeq-Ft, for non-invasive determination of complete fetal genotype and haplotype, using HaploSeq to generate chromosome-spanning parental haplotypes from blood samples. In addition, HaploSeq's whole-genome phasing capabilities also facilitate utilization of very low-depth cfDNA sequencing from maternal plasma for complete fetal genotype and haplotype determination. Taken together, by leveraging our proprietary haplotyping technology to inform novel cfDNA sequencing analysis algorithms, one HaploSeq- Ft blood test will enable parents to know the complete genotype and haplotype of their fetus in a cost-effective manner that does not endanger the pregnancy.

IC Name
EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT
  • Activity
    R43
  • Administering IC
    HD
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    290577
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    865
  • Ed Inst. Type
  • Funding ICs
    NICHD:290577\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    ARIMA GENOMICS, LLC
  • Organization Department
  • Organization DUNS
    079163557
  • Organization City
    SAN DIEGO
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    921221937
  • Organization District
    UNITED STATES