Package: MetaSubtract
Type: Package
Title: Subtracting Summary Statistics of One or more Cohorts from
        Meta-GWAS Results
Version: 1.60
Date: 2020-03-29
Author: Ilja M. Nolte
Maintainer: Ilja M. Nolte <i.m.nolte@umcg.nl>
Description: 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>.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-10-07 10:23:58 UTC; root
Repository: https://imnolte73.r-universe.dev
Date/Publication: 2020-03-30 11:10:06 UTC
RemoteUrl: https://github.com/cran/MetaSubtract
RemoteRef: HEAD
RemoteSha: f61d763e1527c2d86d8caccd6d700723c2a2b6a0