Network based conditional genome wide association analysis of human metabolomics
Yakov A. Tsepilov, Sodbo Sharapov, Olga O. Zaytseva, J. Krumsek, Cornelia P. Prehn, Jerzy Adamski, Gabi Kastenmüller, Rui Wang‐Sattler, Konstantin Strauch, Christian Gieger, Yurii S. Aulchenko
The paper introduces a network-based conditional GWAS method to analyze metabolomics data, identifying additional loci by improving genetic effect precision and handling pleiotropic scenarios.
GigaScience · Nov 29, 2018Peer-reviewedGenomics