Klarin, DerekZhu, QiuyuEmdin, ConnorChaffin, MarkHorner, StevenMcMillan, Brian J.Leed, AlisonWeale, Michael E.Spencer, Chris C. A.Aguet, FrançoisSegrè, Ayellet V.Ardlie, Kristin G.Khera, AmitKaushik, Virendar K.Natarajan, PradeepConsortium, CARDIoGRAMplusC4DKathiresan, Sekar2018-02-262017Klarin, D., Q. M. Zhu, C. A. Emdin, M. Chaffin, S. Horner, B. J. McMillan, A. Leed, et al. 2017. “Genetic Analysis in UK Biobank Links Insulin Resistance and Transendothelial Migration Pathways to Coronary Artery Disease.” Nature genetics 49 (9): 1392-1397. doi:10.1038/ng.3914. http://dx.doi.org/10.1038/ng.3914.http://nrs.harvard.edu/urn-3:HUL.InstRepos:34868858UK Biobank is among the world’s largest repositories for phenotypic and genotypic information in individuals of European ancestry1. We performed a genome-wide association study in UK Biobank testing ~9 million DNA sequence variants for association with coronary artery disease (4,831 cases; 115,455 controls) and carried out meta-analysis with previously published results. We identified fifteen novel loci, bringing the total number of coronary artery disease-associated loci to 95. Phenome-wide association scanning revealed that CCDC92 likely affects coronary artery disease through insulin resistance pathways whereas experimental analysis suggests that ARHGEF26 impacts the transendothelial migration of leukocytes.en-UScoronary artery diseasepopulation geneticsgenome-wide association studiesgene-expressionJournal Article2018-02-2610.1038/ng.3914