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r / packages / r-metasubtract

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>.

Type Size Name Uploaded Downloads Labels
conda 187.1 kB | noarch/r-metasubtract-1.60-r43h142f84f_0.tar.bz2  10 months and 3 days ago 15 main
conda 186.6 kB | noarch/r-metasubtract-1.60-r42h142f84f_0.tar.bz2  2 years and 4 months ago 47 main
conda 183.3 kB | noarch/r-metasubtract-1.50-r36h6115d3f_0.tar.bz2  4 years and 8 months ago 107 main

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