Fine Mapping of Disease Genes Using Tagging SNPs

Research output: Contribution to journalArticle

Abstract

We describe a haplotype clustering approach for localising a disease mutation within a fixed genomic region, which supplements tagging SNP (tSNP) information with (external) information on linkage disequilibrium. By applying our method to simulated data based on the coalescent, and on real haplotype data, we demonstrate that there are situations where significant gains can be made by incorporating tagged SNPs into the analysis. The issues we explore are important not only to these types of studies, but also to studies that select tSNPs based on (external) HapMap phase II data, and those that use genome-wide markers.

Details

Authors
  • Arvid Sjölander
  • Ola Hössjer
  • Linda Werner Hartman
  • Keith Humphreys
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Probability Theory and Statistics

Keywords

  • association, Bayesian inference, haplotype clustering
Original languageEnglish
Pages (from-to)815-827
JournalAnnals of Human Genetics
Volume71
Issue number6
Publication statusPublished - 2007
Publication categoryResearch
Peer-reviewedYes

Bibliographic note

Author list should read Arvid Sjölander, Ola Hössjer, Linda Werner Hartman and Keith Humphreys