A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
By M. Nikpay, A. Goel, H. Won, Leanne M. Hall, C. Willenborg, S. Kanoni, D. Saleheen, T. Kyriakou, C. Nelson, J. Hopewell and 141 more. Nature Genetics, 2015
2,034 citations recorded by the source corpus.
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.
Subfields: Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/44b3f3b8fde1dee72fa725cf0189f806c377ce5d
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Citations in the corpus
- High-coverage whole-genome sequencing of the expanded 1000 Genomes Project cohort including 602 trios (2021, methodology): “The 1kGP resources have been collectively cited over 16,000 times to date and have been utilized for foundational applications such as genotype imputation, eQTL mapping, variant pathogenicity prioritization, population history, and evolutionary genetics studies (Almeida et al., 2014; Hara et al., 20”