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Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Howson, JMM 
Zhao, W 
Barnes, DR 
Ho, W-K 
Young, R 

Abstract

Coronary artery disease (CAD) is a leading cause of morbidity and mortality worldwide. Although 58 genomic regions have been associated with CAD thus far, most of the heritability is unexplained, indicating that additional susceptibility loci await identification. An efficient discovery strategy may be larger-scale evaluation of promising associations suggested by genome-wide association studies (GWAS). Hence, we genotyped 56,309 participants using a targeted gene array derived from earlier GWAS results and performed meta-analysis of results with 194,427 participants previously genotyped, totaling 88,192 CAD cases and 162,544 controls. We identified 25 new SNP-CAD associations (P < 5 × 10(-8), in fixed-effects meta-analysis) from 15 genomic regions, including SNPs in or near genes involved in cellular adhesion, leukocyte migration and atherosclerosis (PECAM1, rs1867624), coagulation and inflammation (PROCR, rs867186 (p.Ser219Gly)) and vascular smooth muscle cell differentiation (LMOD1, rs2820315). Correlation of these regions with cell-type-specific gene expression and plasma protein levels sheds light on potential disease mechanisms.

Description

Keywords

cardiovascular diseases, genome-wide association studies

Journal Title

Nature Genetics

Conference Name

Journal ISSN

1061-4036
1546-1718

Volume Title

49

Publisher

Nature Publishing Group
Sponsorship
Medical Research Council (MR/L003120/1)
Medical Research Council (G0800270)
European Research Council (268834)
British Heart Foundation (CH/12/2/29428)
British Heart Foundation (None)
British Heart Foundation (SP/09/002/27676)
British Heart Foundation (SP/02/002/14543)
Medical Research Council (G0800270/1)
J.D. is a British Heart Foundation Professor, European Research Council Senior Investigator and NIHR Senior Investigator. J.D.E. and A.D.J. were supported by NHLBI Intramural Research Program funds. N.F. is supported by R21HL123677-01 and R56 DK104806-01A1. N.S. is supported by the British Heart Foundation and is an NIHR Senior Investigator. T.L.A. is supported by NIH career development award K23DK088942. This work was funded by the UK Medical Research Council (G0800270), the British Heart Foundation (SP/09/002), the UK National Institute for Health Research Cambridge Biomedical Research Centre, the European Research Council (268834), European Commission Framework Programme 7 (HEALTH-F2-2012-279233) and Pfizer. The eQTL database construction was supported by NHLBI intramural funds.