Hybrid Bayes factors for genome-wide association studies when a robust test is used

Gang Zheng, Ao Yuan and Neal Jeffries

Computational Statistics & Data Analysis, 2011, vol. 55, issue 9, 2698-2711

Abstract: Bayes factor (BF) is often used to measure evidence against the null hypothesis in Bayesian hypothesis testing. In the analysis of genome-wide association (GWA) studies, extreme BF values support the associations detected based on significant p-values. Results from recent GWA studies are presented, which show that existing BFs may not be consistent withp-values when a robust test is used due to using different genetic models in the BF and p-value approaches and this may result in misleading conclusions. Two hybrid BFs, which combine the advantages of both the frequentist and Bayesian methods, are then proposed for the markers showing at least moderate associations (p-value

Keywords: Bayesian; model; averaging; Bayes; factors; Genetic; models; Genome-wide; scan; and; ranking; Posterior; weighted; likelihood; Profile; likelihood (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:55:y:2011:i:9:p:2698-2711

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