Linkage Disequilibrium: mapping and positional cloning

Information

  • Research Project
  • 6942981
  • ApplicationId
    6942981
  • Core Project Number
    R01GM069414
  • Full Project Number
    5R01GM069414-02
  • Serial Number
    69414
  • FOA Number
    PA-02-10
  • Sub Project Id
  • Project Start Date
    9/1/2004 - 19 years ago
  • Project End Date
    8/31/2007 - 16 years ago
  • Program Officer Name
    BROOKS, LISA
  • Budget Start Date
    9/1/2005 - 18 years ago
  • Budget End Date
    8/31/2006 - 17 years ago
  • Fiscal Year
    2005
  • Support Year
    2
  • Suffix
  • Award Notice Date
    8/8/2005 - 18 years ago
Organizations

Linkage Disequilibrium: mapping and positional cloning

DESCRIPTION (provided by applicant): Once a genetic determinant of disease susceptibility or resistance is localized, the function of the gene to which it belongs and the identity and effect of the determinant may be established. This process, called positional cloning, depends on the precision of localization, and therefore on the number of variable sites (markers). Fifty years ago only a handful of markers were known, but today there are several million, most of which are single nucleotide polymorphisms (SNPs). Neighbouring markers may be grouped into haplotypes that tend to be inherited together, but the useful length of a haplotype set (haploset) varies in the genome, and to a lesser extent among populations. This variation is an aid or obstacle to positional cloning, depending on how it is used. Association between neighbouring markers is called linkage disequilibrium (LD), which can be used to construct an LD map on which distances are additive and roughly proportional to genetic recombination, but at about 100 times greater resolution. Building on tested methods for positional cloning, our project aims to construct LD maps, determine the impact of population history on them, integrate LD, linkage, and physical maps, and extend these methods to create and apply the most efficient way of combining information from LD maps and haplotypes to localize genetic determinants of disease, beginning the path from understanding to treatment and prevention.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R01
  • Administering IC
    GM
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    162000
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    172
  • Ed Inst. Type
  • Funding ICs
    NHGRI:54000\NIGMS:108000\
  • Funding Mechanism
  • Study Section
    MGN
  • Study Section Name
    Mammalian Genetics Study Section
  • Organization Name
    UNIVERSITY OF SOUTHAMPTON
  • Organization Department
  • Organization DUNS
  • Organization City
    SOUTHAMPTON
  • Organization State
  • Organization Country
    UNITED KINGDOM
  • Organization Zip Code
    so17 1bj
  • Organization District
    UNITED KINGDOM