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MetaSubtract
View on CRAN: Click
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Download and install MetaSubtract package within the R console
Install from CRAN:
install.packages("MetaSubtract")
Install from Github:
library("remotes")
install_github("cran/MetaSubtract")
Install by package version:
library("remotes")
install_version("MetaSubtract", "1.60")
Attach the package and use:
library("MetaSubtract")
Maintained by
Ilja M. Nolte
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-11
Latest Update: 2020-03-30
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); .
How to cite:
Ilja M. Nolte (2017). MetaSubtract: Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results. R package version 1.60, https://cran.r-project.org/web/packages/MetaSubtract
Previous versions and publish date:
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Some associated functions: MetaSubtract-package . alternative_headers . meta.subtract .
Some associated R codes: Full MetaSubtract package functions and examples
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