MetaSubtract: Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results
Version 1.43

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.

Package details

AuthorIlja M. Nolte
Date of publication2018-07-10 11:10:04 UTC
MaintainerIlja M. Nolte <[email protected]>
LicenseGPL (>= 3)
Version1.43
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MetaSubtract")

Try the MetaSubtract package in your browser

Any scripts or data that you put into this service are public.

MetaSubtract documentation built on July 10, 2018, 5:01 p.m.