Article

metGWAS 1.0: An R workflow for network-driven over-representation analysis between independent metabolomic and meta-genome wide association studies

2022-08-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Many diseases may result from disrupted metabolic regulation. Metabolite-GWAS studies assess the association of polymorphic variants with metabolite levels in body fluids. While these studies are successful, they have a high cost and technical expertise burden due to combining the analytical biochemistry of metabolomics with the computational genetics of GWAS. Currently, the...

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Literature Corpus work: f6cf972e-1f57-514e-a757-367ee4058142
DOI: 10.1101/2022.08.09.503325

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