Sciweavers

Share
BMCBI
2010

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

9 years 10 months ago
A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis
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 are too weak to be discovered by single-marker testing approaches. V-Bay can also outperform a multiple locus analysis method based on the lasso, which has similar scaling properties for large numbers of genetic ...
Benjamin A. Logsdon, Gabriel E. Hoffman, Jason G.
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2010
Where BMCBI
Authors Benjamin A. Logsdon, Gabriel E. Hoffman, Jason G. Mezey
Comments (0)
books