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Article

Semi-parametric empirical Bayes factor for genome-wide association studies.

European journal of human genetics : EJHG - 1 May 2021

Morisawa Junji, Otani Takahiro, Nishino Jo, Emoto Ryo, Takahashi Kunihiko, Matsui Shigeyuki

Abstract excerpt

Bayes factor analysis has the attractive property of accommodating the risks of both false negatives and false positives when identifying susceptibility gene variants in genome-wide association studies (GWASs). For a particular SNP, the critical aspect of this analysis is that it incorporates the probability of obtaining the observed value of a statistic on disease association under the alternative hypotheses of...

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PMID: 33495595
DOI: 10.1038/s41431-020-00800-x
PMCID: PMC8110551

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