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>.
