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

Abstract

This project aims to map breast cancer genes using dense single nucleotide polymorphism arrays in large extended pedigrees. Data has been collected using a 1,000,000 SNP genotype assay for 25 women affected by breast cancer in three high risk Utah pedigrees. Preliminary analysis of control data has been performed and significant progress has been made on the problem of modeling linkage disequilibrium between genetic loci at the density and scale required by this project. Programs to perform the modeling and analysis have been written and tested. Two papers describing the methodological developments have been published and a third describing initial analyses of control data is in preparation. The project is proceeding as planned and we expect to carry out the remainder in good time.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2008
Accession Number
ADA489763

Entities

People

  • Alun Thomas

Organizations

  • University of Utah

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Breast Cancer
  • Computational Science
  • Data Science
  • Diseases And Disorders
  • Genes
  • Genetic Phenomena
  • Genetic Structures
  • Genetic Variation
  • Genetics
  • Genome
  • Genotypes
  • Health Services
  • Information Science
  • Medical Genetics
  • Microsatellites
  • Monte Carlo Method
  • Random Variables

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology