A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis.

ABSTRACT:

Background

The success achieved by genome-wide association (GWA) studies in the identification of candidate loci for complex diseases has been accompanied by an inability to explain the bulk of heritability. Here, we describe the algorithm V-Bay, a variational Bayes algorithm for multiple locus GWA analysis, which is designed to identify weaker associations that may contribute to this missing heritability.

Results

V-Bay provides a novel solution to the computational scaling constraints of most multiple locus methods and can complete a simultaneous analysis of a million genetic markers in a few hours, when using a desktop. Using a range of simulated genetic and GWA experimental scenarios, we demonstrate that V-Bay is highly accurate, and reliably identifies associations that

SUBMITTER: Logsdon BA 

PROVIDER: S-EPMC2824680 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature