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Thirty-five common variants for coronary artery disease: the fruits of much collaborative labour.

ABSTRACT: Coronary artery disease (CAD) is the leading cause of death worldwide. Affected individuals cluster in families in patterns that reflect the sharing of numerous susceptibility genes. Genome-wide and large-scale gene-centric genotyping studies that involve tens of thousands of cases and controls have now mapped common disease variants to 34 distinct loci. Some coronary disease common variants show allelic heterogeneity or copy number variation. Some of the loci include candidate genes that imply conventional or emerging risk factor-mediated mechanisms of disease pathogenesis. Quantitative trait loci associations with risk factors have been informative in Mendelian randomization studies as well as fine-mapping of causative variants. But, for most loci, plausible mechanistic links are uncertain or obscure at present but provide potentially novel directions for research into this disease's pathogenesis. The common variants explain ~4% of inter-individual variation in disease risk and no more than 13% of the total heritability of coronary disease. Although many CAD genes are presently undiscovered, it is likely that larger collaborative genome-wide association studies will map further common/low-penetrance variants and hoped that low-frequency or rare high-penetrance variants will also be identified in medical resequencing experiments.

SUBMITTER: Peden JF

PROVIDER: S-EPMC3179381 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature

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Thirty-five common variants for coronary artery disease: the fruits of much collaborative labour.

Peden John F JF Farrall Martin M

Human molecular genetics 20110829 R2

Coronary artery disease (CAD) is the leading cause of death worldwide. Affected individuals cluster in families in patterns that reflect the sharing of numerous susceptibility genes. Genome-wide and large-scale gene-centric genotyping studies that involve tens of thousands of cases and controls have now mapped common disease variants to 34 distinct loci. Some coronary disease common variants show allelic heterogeneity or copy number variation. Some of the loci include candidate genes that imply ...[more]

PMID: 21875899

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Project description:PurposeThe mechanisms by which depressive symptoms negatively affect clinical outcomes in patients with coronary artery disease (CAD) remain poorly understood. Previous interventions that have attempted to treat depressive symptoms in patients with CAD to improve their clinical outcomes have been disappointing. Our objectives were, among a cohort of CAD patients, to evaluate the impact of depressive symptoms over time, controlling for comorbidity, in determining both successful long-term lifestyle change (ie, increased physical activity), and cardiovascular morbidity and mortality outcomes. In addition, we examined the impact of physical activity changes over time on 2 known mediators of cardiovascular morbidity: parasympathetic tone and inflammation.MethodsClinical data were previously collected (2004-2006) from 242 elective/urgent coronary angioplasty patients who participated in a prospective randomized controlled trial evaluating the efficacy of a behavioral intervention versus an educational control to motivate physical activity over 12 months. Exclusion criteria included: (1) inability to walk; (2) enrollment in other risk-reduction trials; (3) non-English speaking; and (4) lack of cardiologist's permission to increase physical activity. Participants were assessed every 2 months for interval clinical events and physical activity. In addition, biomarkers were collected at baseline and at 12 months in a subset of 54 participants; these biomarkers included low-frequency heart rate variability (lfHRV), high-frequency heart rate variability (hfHRV), serum C-reactive protein, interleukin-6, and salivary cortisol.FindingsThe mean age of participants was 63 years and 30% were female. Overall, 37% had high depressive symptoms at baseline. Patients with high depressive symptoms who achieved an increase in physical activity of ≥336 kilocalories(kcal)/week by 12 months had significantly lower rates of cardiovascular morbidity/mortality (5.1% vs. 21.3%; odds ratio [OR], 0.20, [95% CI, 0.04-0.98]; P = 0.03). In a multivariate model examining cardiovascular morbidity/mortality in patients with high depressive symptoms, an increase in physical activity of ≥336 kcal/week reduced the risk of new cardiovascular morbidity/mortality (OR, 0.11 [95% CI, 0.02-0.81]; P < 0.03), and comorbidity increased the risk (OR, 1.58 [95% CI, 1.18-2.13]; P = 0.002). In a generalized structural equation model, increasing physical activity by ≥336 kcal/week decreased the risk of complications, and comorbidity increased the risk. Furthermore, increasing physical activity (≥336 kcal/week) predicted an increase in hfHRV, a marker of parasympathetic tone, and the increase in hfHRV predicted a reduction in the proinflammatory mediators interleukin-6 and C-reactive protein.ImplicationsThis study found a threshold in physical activity in CAD patients with depressive symptoms that is associated with a decrease in cardiovascular morbidity and mortality. Exercise maintenance at this level may improve clinical outcomes via enhanced parasympathetic tone and decreased inflammation. ClinicalTrials.gov identifier: NCT00248846.

Project description:ObjectiveOnly a small fraction of coronary artery disease (CAD) heritability has been explained by common variants identified to date. Interactions between genes of importance to cardiovascular regulation may account for some of the missing heritability of CAD. This study aimed to investigate the role of gene-gene interactions in common variants in candidate cardiovascular genes in CAD.Approach and results2,101 patients with CAD from the British Heart Foundation Family Heart Study and 2,426 CAD-free controls were included in the discovery cohort. All subjects were genotyped with the Illumina HumanCVD BeadChip enriched for genes and pathways relevant to the cardiovascular system and disease. The primary analysis in the discovery cohort examined pairwise interactions among 913 common (minor allele frequency >0.1) independent single nucleotide polymorphisms (SNPs) with at least nominal association with CAD in single locus analysis. A secondary exploratory interaction analysis was performed among all 11,332 independent common SNPs surviving quality control criteria. Replication analyses were conducted in 2,967 patients and 3,075 controls from the Myocardial Infarction Genetics Consortium. None of the interactions amongst 913 SNPs analysed in the primary analysis was statistically significant after correction for multiple testing (required P<1.2x10-7). Similarly, none of the pairwise gene-gene interactions in the secondary analysis reached statistical significance after correction for multiple testing (required P = 7.8x10-10). None of 36 suggestive interactions from the primary analysis or 31 interactions from the secondary analysis was significant in the replication cohort. Our study had 80% power to detect odds ratios > 1.7 for common variants in the primary analysis.ConclusionsModerately large additive interactions between common SNPs in genes relevant to cardiovascular disease do not appear to play a major role in genetic predisposition to CAD. The role of genetic interactions amongst less common SNPs and with medium and small magnitude effects remain to be investigated.

Project description:ObjectiveApproximately 10% of patients undergoing cardiac surgery have perioperative myocardial injury. A recent genome-wide association study identified an association between myocardial infarction in nonsurgical populations and common genetic variants on chromosome 9p21. We hypothesized that these variants are also associated with perioperative myocardial injury after isolated primary coronary artery bypass graft surgery.MethodsIn a prospective observational study of 846 Caucasian patients undergoing primary coronary bypass surgery at 2 US centers, we genotyped 61 linkage-disequilibrium tagging single nucleotide polymorphisms, encompassing 436 kbp of the 9p21 region. A multivariable logistic model was used to adjust for previously identified clinical covariates of perioperative myocardial injury. Perioperative myocardial injury was defined as a postoperative day 1 cardiac troponin I in the top 10th percentile (>9.13 microg/L) of the cohort. Multiple testing of single nucleotide polymorphisms was corrected for with family-wise errors.ResultsPrior myocardial infarction and longer cardiopulmonary bypass time were significant independent predictors of perioperative myocardial injury. Levels of postoperative cardiac troponin I were incrementally increased for each additional copy of the risk alleles of 3 single nucleotide polymorphisms: rs10116277, rs6475606, and rs2383207. Adjusted additive odds ratios ranged between 1.64 and 1.79 (asymptotic P value between 3.7 x 10(-3) and 6 x 10(-4)) and remained significantly associated with perioperative myocardial injury even after accounting for clinical covariates including severity of coronary disease, and multiple comparisons.ConclusionsWe have now demonstrated that common genetic variants in the same 9p21 locus, previously known to be associated with myocardial infarction in nonsurgical populations, are also associated with perioperative myocardial injury after coronary artery bypass grafting. Further investigation is warranted to elucidate functional mechanisms.

Project description:BackgroundAdiponectin, an adipokine facilitating insulin action, has antiatherogenic effects. This study investigated whether common single nucleotide polymorphisms (SNPs) in the adiponectin gene influenced plasma adiponectin level and whether they were associated with the risk of coronary artery disease (CAD) and its angiographical severity in type 2 diabetes in Chinese population.Methods11 tagging SNPs were genotyped in 1110 subjects with or without CAD in type 2 diabetes. Variants of adiponectin gene were determined by Taqman polymerase chain reaction method. The plasma adiponectin concentrations were measured by sandwich enzyme-linked immunosorbent assay. The severity and extent of coronary atherosclerosis were assessed using the angiographic Gensini score and Sullivan Extent score.ResultsAmong the 11 SNPs, the minor G allele of SNP rs266729 was significantly associated with higher odds of CAD (odds ratio (95% CI) = 1.49 (1.10 - 2.16), P = 0.022) after adjusting for covariates. In stepwise multivariate logistic regression, SNP rs266729 was a significant independent factor of CAD. Multivariate linear regression analysis revealed that rs266729 (β = -0.101, P < 0.0001), rs182052 (β = -0.044, P = 0.0035), and rs1501299 (β = 0.073, P < 0.0001) were significantly associated with adiponectin level, and also indicated that the minor G allele of SNP rs266729 had higher Gensini score (β = 0.139, P < 0.001) and Sullivan Extent score (β = 0.107, P < 0.001). Haplotypes analysis revealed different haplotype distributions in case and control subjects (P = 0.0003), with two common haplotypes GGG and GAG of the rs266729, rs182052, and rs1501299 being associated in heterozygotes with a greater than threefold increase in cardiovascular risk (odds ratio (95% CI)=3.39 (1.83 - 6.30), P = 0.0001).ConclusionsIn our population, genetic variants in the adiponectin gene influence plasma adiponectin levels, and one of them is a strong determinant of CAD susceptibility and its angiographical severity in type 2 diabetes. This study has provided further evidence for a role of adiponectin in the development of CAD.

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Thirty-five common variants for coronary artery disease: the fruits of much collaborative labour.

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Thirty-five common variants for coronary artery disease: the fruits of much collaborative labour.

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