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-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.

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Description file content

Package
MetaSubtract
Type
Package
Title
Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results
Version
1.3
Date
2017-12-07
Author
Ilja M. Nolte
Maintainer
Ilja M. Nolte
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-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.
License
GPL (>= 3)
NeedsCompilation
no
Packaged
2017-12-05 13:28:49 UTC; NolteIM
Repository
CRAN
Date/Publication
2017-12-05 13:44:39 UTC

install.packages('MetaSubtract')

1.3

6 days ago

Ilja M. Nolte

GPL (>= 3)

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