Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results R package MetaSubtract version 1.60 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) If results from a meta-GWAS are used for validation in one of the cohorts that was included in the meta-analysis, this will yield biased (i.e. too optimistic) results. The validation cohort needs to be independent from the meta-Genome-Wide-Association-Study (meta-GWAS) results. 'MetaSubtract' will subtract the results of the respective cohort from the meta-GWAS results analytically without having to redo the meta-GWAS analysis using the leave-one-out methodology. It can handle different meta-analyses methods and takes into account if single or double genomic control correction was applied to the original meta-analysis. It can also handle different meta-analysis methods. It can be used for whole GWAS, but also for a limited set of genetic markers. See for application: Nolte I.M. et al. (2017); <doi: 10.1038/ejhg.2017.50>. Software Ilja M. Nolte <i.m.nolte@umcg.nl> Comprehensive R Archive Network (CRAN) Ilja M. Nolte GPL (>= 3) 2020-03-30 application/tgz https://CRAN.R-project.org/package=MetaSubtract doi:10.32614/CRAN.package.MetaSubtract