repfdr: a tool for replicability analysis for genome-wide association studies

Ruth Heller; Shay Yaacoby; Daniel Yekutieli

doi:10.1093/bioinformatics/btu434

repfdr: a tool for replicability analysis for genome-wide association studies

Ruth Heller, Shay Yaacoby, Daniel Yekutieli

School of Mathematical Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

MOTIVATION: Identification of single nucleotide polymorphisms that are associated with a phenotype in more than one study is of great scientific interest in the genome-wide association studies (GWAS) research. The empirical Bayes approach for discovering whether results have been replicated across studies was shown to be a reliable method, and close to optimal in terms of power.

RESULTS: The R package repfdr provides a flexible implementation of the empirical Bayes approach for replicability analysis and meta-analysis, to be used when several studies examine the same set of null hypotheses. The usefulness of the package for the GWAS community is discussed.

AVAILABILITY AND IMPLEMENTATION: The R package repfdr can be downloaded from CRAN.

CONTACT: ruheller@gmail.com

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Original language	English
Pages (from-to)	2971-2972
Number of pages	2
Journal	Bioinformatics
Volume	30
Issue number	20
DOIs	https://doi.org/10.1093/bioinformatics/btu434
State	Published - 15 Oct 2014

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10.1093/bioinformatics/btu434

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repfdr: a tool for replicability analysis for genome-wide association studies

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