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.
|Author||Ilja M. Nolte|
|Date of publication||2017-12-05 13:44:39 UTC|
|Maintainer||Ilja M. Nolte <[email protected]>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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