MetaSubtract: Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results
Version 1.3

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-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 be used for whole GWAS, but also for a limited set of SNPs or other genetic markers.

Package details

AuthorIlja M. Nolte
Date of publication2017-12-05 13:44:39 UTC
MaintainerIlja M. Nolte <[email protected]>
LicenseGPL (>= 3)
Version1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MetaSubtract")

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MetaSubtract documentation built on Dec. 5, 2017, 5:06 p.m.