Yoichiro Kamatani, Markus Scholz, Pin Huang, Marcus E. Kleber, Chang Liu, Aldons J. Lusis, Zhiheng Cai, Janet Gukasyan, Yi Han, Georgios J. Vlachojannis, W.H. Wilson Tang, Satoshi Koyama, Johan L.M. Björkegren, Margarete Mehrabian, David-Alexandre Trégouët, Hooman Allayee, Folkert W. Asselbergs, Peter Bazeley, Elizabeth R. Hauser, Casey E. Romanoski, Mohammad Daud Khan, Leo-Pekka Lyytikäinen, Riyaz S. Patel, Issei Komuro, Tuomo Nieminen, Stanley L. Hazen, Qiong Jia, Muredach P. Reilly, Redouane Aherrahrou, Xuling Chang, Jari Laurikka, James R. Hilser, Marion van Vugt, William E. Kraus, Clint L. Miller, Kaoru Ito, Jaana Hartiala, Marcus M. Seldin, Calvin Pan, Winfried März, Joachim Thiery, Jane F. Ferguson, Yan V. Sun, Chew-Kiat Heng, Pekka Kuukasjärvi, Mika Kähönen, Mete Civelek, Lindsey K. Stolze, S. Ram Kumar, Graciela E. Delgado, Nicholas L. Smith, Subarna Biswas, William S Schwartzman, Laurence J. Howe, Lijiang Ma, Rong Jiang, Adam W. Turner, Arshed A. Quyyumi, Terho Lehtimäki, Cardiology, Tampere University, Clinical Medicine, Department of Clinical Chemistry, TAYS Heart Centre, Department of Clinical Physiology and Nuclear Medicine, Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Aims While most patients with myocardial infarction (MI) have underlying coronary atherosclerosis, not all patients with coronary artery disease (CAD) develop MI. We sought to address the hypothesis that some of the genetic factors which establish atherosclerosis may be distinct from those that predispose to vulnerable plaques and thrombus formation. Methods and results We carried out a genome-wide association study for MI in the UK Biobank (n∼472 000), followed by a meta-analysis with summary statistics from the CARDIoGRAMplusC4D Consortium (n∼167 000). Multiple independent replication analyses and functional approaches were used to prioritize loci and evaluate positional candidate genes. Eight novel regions were identified for MI at the genome wide significance level, of which effect sizes at six loci were more robust for MI than for CAD without the presence of MI. Confirmatory evidence for association of a locus on chromosome 1p21.3 harbouring choline-like transporter 3 (SLC44A3) with MI in the context of CAD, but not with coronary atherosclerosis itself, was obtained in Biobank Japan (n∼165 000) and 16 independent angiography-based cohorts (n∼27 000). Follow-up analyses did not reveal association of the SLC44A3 locus with CAD risk factors, biomarkers of coagulation, other thrombotic diseases, or plasma levels of a broad array of metabolites, including choline, trimethylamine N-oxide, and betaine. However, aortic expression of SLC44A3 was increased in carriers of the MI risk allele at chromosome 1p21.3, increased in ischaemic (vs. non-diseased) coronary arteries, up-regulated in human aortic endothelial cells treated with interleukin-1β (vs. vehicle), and associated with smooth muscle cell migration in vitro. Conclusions A large-scale analysis comprising ∼831 000 subjects revealed novel genetic determinants of MI and implicated SLC44A3 in the pathophysiology of vulnerable plaques.