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>.
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