Accession Number:

ADA509842

Title:

In Silico Genome Mismatch Scanning to Map Breast Cancer Genes in Extended Pedigrees

Descriptive Note:

Annual rept. 15 Jun 2008-14 Jun 2009

Corporate Author:

UTAH UNIV SALT LAKE CITY

Personal Author(s):

Report Date:

2009-07-01

Pagination or Media Count:

89.0

Abstract:

This project aims to map breast cancer genes using dense single nucleotide polymorphism assays in large extended pedigrees. Data has been collected using 1,000,000 SNP genotype assays for 25 women affected by breast cancer in three high risk Utah pedigrees. Analysis of control data from the HapMap project has been completed and methods that will model linkage disequilibrium for genome wide, dense, SNP data have been developed. Papers describing these methods have been published. Programs implementing these methods have been written, tested and released. The programs are now being applied to the Utah breast cancer susceptibility families and we expect the results to be submitted for publication by the new end of this project.

Subject Categories:

  • Medicine and Medical Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE