Application of the Optimal Discovery Procedure to Genetic Case-Control Studies: Comparison with p Values and Asymptotic Bayes Factors | Zendy

Ioanna Tachmazidou | Zendy; Maria De Iorio | Zendy; Frank Dudbridge | Zendy

Open Access

Application of the Optimal Discovery Procedure to Genetic Case-Control Studies: Comparison with p Values and Asymptotic Bayes Factors

Author(s) -

Ioanna Tachmazidou,

Maria De Iorio,

Frank Dudbridge

Publication year - 2011

Publication title -

human heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.423

H-Index - 62

eISSN - 1423-0062

pISSN - 0001-5652

DOI - 10.1159/000323518

Subject(s) - estimator , bayes' theorem , false discovery rate , statistical power , statistics , power (physics) , multiple comparisons problem , bayes factor , single nucleotide polymorphism , mathematics , computer science , biology , computational biology , genetics , bayesian probability , gene , genotype , physics , quantum mechanics

The power of genetic association studies is limited by stringent levels of statistical significance. To improve power, Bayes factors (BFs) have been suggested as an alternative measure to the p value, and Storey recently introduced an optimal discovery procedure (ODP) for multiple testing. We aimed to adapt the ODP to genetic case-control studies and to compare its power to p values and asymptotic BFs (ABFs).

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