A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.
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.
Duke Scholars
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- Phenotype
- Humans
- Genome-Wide Association Study
- Genome, Human
- Developmental Biology
- Coronary Artery Disease
- 3105 Genetics
- 3102 Bioinformatics and computational biology
- 3001 Agricultural biotechnology
- 11 Medical and Health Sciences
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Phenotype
- Humans
- Genome-Wide Association Study
- Genome, Human
- Developmental Biology
- Coronary Artery Disease
- 3105 Genetics
- 3102 Bioinformatics and computational biology
- 3001 Agricultural biotechnology
- 11 Medical and Health Sciences