A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis |
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| Authors: | Benjamin A Logsdon Gabriel E Hoffman Jason G Mezey |
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| Institution: | (1) Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, USA;(2) Department of Genetic Medicine, Weill Cornell Medical College, NY, NY, USA |
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| 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. |
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