title: repfdr: a tool for replicability analysis for genome-wide association studies.
abstract: BACKGROUND
  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.
  
  
  METHODS
  The R package repfdr can be downloaded from CRAN.
  
  
  BACKGROUND
  ruheller@gmail.com
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Statistics and Operations Research, Tel-Aviv University, Tel-Aviv 6997801, Israel.
authors.forename: Ruth
authors.initials: R
authors.lastname: Heller
authors.affiliation: Department of Statistics and Operations Research, Tel-Aviv University, Tel-Aviv 6997801, Israel.
authors.forename: Shay
authors.initials: S
authors.lastname: Yaacoby
authors.affiliation: Department of Statistics and Operations Research, Tel-Aviv University, Tel-Aviv 6997801, Israel.
authors.forename: Daniel
authors.initials: D
authors.lastname: Yekutieli
mesh_terms: D001499:Bayes Theorem; D056808:Biostatistics / Q000379:methods*; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D015201:Meta-Analysis as Topic; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide