A Bayesian approach using covariance of single nucleotide polymorphism data to detect differences in linkage disequilibrium patterns between groups of individuals

Taane Clark, Susana Campino, Elisa Anastasi, Sarah Auburn, Yik Teo, Kerrin Small, Kirk Rockett, Dominic Kwiatkowski, Christopher Holmes

Research output: Contribution to journalArticle

Abstract

Motivation: Quantifying differences in linkage disequilibrium (LD) between sub-groups can highlight genetic regions or sites under selection and/or associated with disease, and may have utility in trans-ethnic mapping studies.

Results: We present a novel pseudo Bayes factor (PBF) approach that assess differences in covariance of genotype frequencies from single nucleotide polymorphism (SNP) data from a genome-wide study. The magnitude of the PBF reflects the strength of evidence for a difference, while accounting for the sample size and number of SNPs, without the requirement for permutation testing to establish statistical significance. Application of the PBF to HapMap and Gambian malaria SNP data reveals regional LD differences, some known to be under selection.

Availability and implementation: The PBF approach has been implemented in the BALD (Bayesian analysis of LD differences) C++ software, and is available from http://homepages.lshtm.ac.uk/tgclark/downloads

Contact: taane.clark@lshtm.ac.uk
Original languageEnglish
Pages (from-to)1999-2003
Number of pages5
JournalBioinformatics
Volume26
Issue number16
DOIs
Publication statusPublished - 15 Aug 2010
Externally publishedYes

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