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Meta-Analysis
. 2011 Dec 20;124(25):2855-64.
doi: 10.1161/CIRCULATIONAHA.110.974899. Epub 2011 Dec 5.

Genome-wide association study for coronary artery calcification with follow-up in myocardial infarction

Collaborators, Affiliations
Meta-Analysis

Genome-wide association study for coronary artery calcification with follow-up in myocardial infarction

Christopher J O'Donnell et al. Circulation. .

Abstract

Background: Coronary artery calcification (CAC) detected by computed tomography is a noninvasive measure of coronary atherosclerosis, which underlies most cases of myocardial infarction (MI). We sought to identify common genetic variants associated with CAC and further investigate their associations with MI.

Methods and results: Computed tomography was used to assess quantity of CAC. A meta-analysis of genome-wide association studies for CAC was performed in 9961 men and women from 5 independent community-based cohorts, with replication in 3 additional independent cohorts (n=6032). We examined the top single-nucleotide polymorphisms (SNPs) associated with CAC quantity for association with MI in multiple large genome-wide association studies of MI. Genome-wide significant associations with CAC for SNPs on chromosome 9p21 near CDKN2A and CDKN2B (top SNP: rs1333049; P=7.58×10(-19)) and 6p24 (top SNP: rs9349379, within the PHACTR1 gene; P=2.65×10(-11)) replicated for CAC and for MI. Additionally, there is evidence for concordance of SNP associations with both CAC and MI at a number of other loci, including 3q22 (MRAS gene), 13q34 (COL4A1/COL4A2 genes), and 1p13 (SORT1 gene).

Conclusions: SNPs in the 9p21 and PHACTR1 gene loci were strongly associated with CAC and MI, and there are suggestive associations with both CAC and MI of SNPs in additional loci. Multiple genetic loci are associated with development of both underlying coronary atherosclerosis and clinical events.

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Conflict of interest statement

Disclosures: Dr. Ziegler reports receiving honoraria and ownership interest >$10K. Dr’s. Rotter, Murabito, Borecki, Bielack, Kardia, and Witteman report receiving government research grants relevant to the research topic. No other co-author has reported a conflict.

Figures

Figure 1
Figure 1
Plot of –log10(P) for association of SNPs and chromosomal position for all autosomal SNPs analyzed in the age and sex-adjusted model of CAC quantity in the meta-analysis of five independent discovery cohorts.
Figure 2
Figure 2
Observed –log(P) and recombination rates by chromosomal position for all associated SNPs nearby (a) rs1333049 near CDKN2B on 9p21.3 and (b) rs9349379 near PHACTR on 6p24. Results from the genome-wide association analysis of SNPs versus age and sex-adjusted CAC quantity in the meta-analysis of five independent discovery cohorts. Association plots were conducted using SNAP.[27] Top SNPs of interest and P values in each region are indicated (blue diamonds). Color coding indicates the strength of LD of each SNP with the top SNP in each region: red (r2≥0.08), orange (r2≥0.5), yellow (r2≥0.2), white with no color (r2<0.2).
Figure 2
Figure 2
Observed –log(P) and recombination rates by chromosomal position for all associated SNPs nearby (a) rs1333049 near CDKN2B on 9p21.3 and (b) rs9349379 near PHACTR on 6p24. Results from the genome-wide association analysis of SNPs versus age and sex-adjusted CAC quantity in the meta-analysis of five independent discovery cohorts. Association plots were conducted using SNAP.[27] Top SNPs of interest and P values in each region are indicated (blue diamonds). Color coding indicates the strength of LD of each SNP with the top SNP in each region: red (r2≥0.08), orange (r2≥0.5), yellow (r2≥0.2), white with no color (r2<0.2).

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