MetaSubtract: Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results

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>.

Package details

AuthorIlja M. Nolte
MaintainerIlja M. Nolte <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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MetaSubtract documentation built on March 31, 2020, 5:17 p.m.