Fine Mapping of Disease Genes Using Tagging SNPs

Arvid Sjölander, Ola Hössjer, Linda Werner Hartman, Keith Humphreys

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)815-827
JournalAnnals of Human Genetics
Volume71
Issue number6
DOIs
Publication statusPublished - 2007

Bibliographical note

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

Subject classification (UKÄ)

  • Probability Theory and Statistics

Free keywords

  • association
  • Bayesian inference
  • haplotype clustering

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