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Nature Research, Nature Genetics, 10(47), p. 1121-1130

DOI: 10.1038/ng.3396

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A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease

Journal article published in 2015 by Majid Nikpay, Hong-Hee Won ORCID, Leanne M. Hall, Christina Willenborg, Stavroula Kanoni, Danish Saleheen, Theodosios Kyriakou, Christopher P. Nelson, Jemma C. Hopewell, Thomas R. Webb, Lingyao Zeng, Jie Huang, Shih-Jen Hwang, Yun Kyoung Kim, Marcus E. Kleber ORCID and other authors.
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association study (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of [sim]185,000 CAD cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 million low-frequency (0.005 < MAF < 0.05) variants. In addition to confirming most known CAD-associated loci, we identified ten new loci (eight additive and two recessive) that contain candidate casual genes newly implicating biological processes in vessel walls. We observed intralocus allelic heterogeneity but little evidence of low-frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD, showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect size.