A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.

Nature Genetics
Majid NikpayMartin Farrall

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 ∼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 causal 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.

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Methods Mentioned

BETA
genotyping

Software Mentioned

Funcgen Perl API
ANNOVAR
Metabochip
Geuvadis Data Browser
eQTL browser
ENCODE
Ensembl
qqvalue Stata
GWAMA
GTEx Portal

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