The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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>.

Version: 1.60
Published: 2020-03-30
DOI: 10.32614/CRAN.package.MetaSubtract
Author: Ilja M. Nolte
Maintainer: Ilja M. Nolte <i.m.nolte at umcg.nl>
License: GPL (≥ 3)
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: MetaSubtract results

Documentation:

Reference manual: MetaSubtract.pdf

Downloads:

Package source: MetaSubtract_1.60.tar.gz
Windows binaries: r-devel: MetaSubtract_1.60.zip, r-release: MetaSubtract_1.60.zip, r-oldrel: MetaSubtract_1.60.zip
macOS binaries: r-release (arm64): MetaSubtract_1.60.tgz, r-oldrel (arm64): MetaSubtract_1.60.tgz, r-release (x86_64): MetaSubtract_1.60.tgz, r-oldrel (x86_64): MetaSubtract_1.60.tgz
Old sources: MetaSubtract archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MetaSubtract to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.