A Bayesian measure of the probability of false discovery in genetic epidemiology studies.

By J. Wakefield. American Journal of Human Genetics, 2007

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Replication in genome-wide association studies (2009, background): “In the framework of the Bayes theorem, the probability that an observed association truly exists in the sampled population depends not only on the observed p-value for association, but also on the power to detect the association (a function of minor allele frequency, effect size and sample size), th”
The genetics of Alzheimer disease: back to the future. (2010, methodology): “…help to assess the ''solidity'' of a finding until sufficient data are available (e.g., using Bayesian analyses to estimate the odds that a finding is ''real'' [Wellcome Trust Case Control Consortium, 2007; Wakefield, 2007], or grading its ''epidemiologic credibility'' [Ioannidis et al., 2008]).”
Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics (2013, methodology): “These lexical counts are combined with the experimental OR in a Bayesian model – Bayesian False Discovery Probability (BFDP [71]).”
Gene-Environment-Wide Association Studies: Emerging Approaches (2010, unknown): “Bayesian versions of the FDR have also been describe”
Estimation of Significance Thresholds for Genomewide Association Scans (2008, background): “In fact, there is now sufficient background knowledge to allow this to be done rather objectively [Wachholder et al., 2004; Wakefield, 2007], and it can be argued that the major obstacle to widespread use of this paradigm is convention.”