Using functional annotation for the empirical determination of Bayes Factors for genome-wide association study analysis.

A genome wide association study (GWAS) typically results in a few highly significant 'hits' and a much larger set of suggestive signals ('near-hits'). The latter group are expected to be a mixture of true and false associations. One promising strategy to help separate these is to...

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Bibliographic Details
Main Authors: Jo Knight, Michael R Barnes, Gerome Breen, Michael E Weale
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-04-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3083387?pdf=render