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

Majid Nikpay, Anuj Goel, Hong-Hee Won, Leanne M. Hall, Christina Willenborg, Stavroula Kanoni, Danish Saleheen, Theodosios Kyriakou, Christopher P. Nelson, Jemma C. Hopewell, Thomas R. Webb, Lingyao Zeng, Abbas Dehghan, Maris Elver, Sebastian M. Armasu, Kirsi Auro, Andrew Bjonnes, Daniel I. Chasman, Shufeng Chen, Ian FordNora Franceschini, Christian Gieger, Christopher Grace, Stefan Gustafsson, Jie Huang, Shih-Jen Hwang, Yun Kyoung Kim, Marcus E. Kleber, King Wai Lau, Xiangfeng Lu, Yingchang Lu, Leo-Pekka Lyytikäinen, Evelin Mihailov, Alanna C. Morrison, Natalia Pervjakova, Liming Qu, Lynda M. Rose, Elias Salfati, Richa Saxena, Markus Scholz, Albert V. Smith, Emmi Tikkanen, Andre Uitterlinden, Xueli Yang, Weihua Zhang, Wei Zhao, Mariza de Andrade, Paul S. de Vries, Natalie R. van Zuydam, Colin N. Palmer, for the CARDIoGRAMplusC4D Consortium, Hugh Watkins, Sekar Kathiresan, Ruth McPherson, Martin Farrall

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    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 ∼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.

    Original languageEnglish
    Pages (from-to)1121-1130
    Number of pages10
    JournalNature Genetics
    Issue number10
    Early online date7 Sep 2015
    Publication statusPublished - Oct 2015

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