ArticleInternational journal of cardiology. Heart & vasculature2015
Cumulative effects of common genetic variants on risk of sudden cardiac death.
Article in International journal of cardiology. Heart & vasculature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- The Role of Genetics in the Management of Heart Failure Patients.International journal of molecular sciences · 2023Review
- New Concepts in Sudden Cardiac Arrest to Address an Intractable Epidemic: JACC State-of-the-Art Review.Journal of the American College of Cardiology · 2019Review
- KCNN2 polymorphisms and cardiac tachyarrhythmias.Medicine · 2016Article
- New approaches to predicting the risk of sudden death.Clinical medicine (London, England) · 2016Review
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundGenome-wide association studies and candidate-gene based approaches have identified multiple common variants associated with increased risk of sudden cardiac death (SCD). However, the independent contribution of these individual loci to disease risk is modest.
objectiveTo investigate the cumulative effects of genetic variants previously associated with SCD risk.
methodsA total of 966 SCD cases from the Oregon-Sudden Unexpected Death Study and 1,926 coronary artery disease controls from the Wellcome Trust Case-Control Consortium were investigated. We generated genetic risk scores (GRS) for each trait composed of variants previously associated with SCD or with abnormalities in specific electrocardiographic traits such as QRS duration, QTc interval and heart rate. GRSs were calculated using a weighted approach based on the number of risk alleles weighted by the beta coefficients derived from the original studies. We also compared the highest and lowest quintiles for the GRS composed of SCD SNPs.
resultsIncreased cumulative risk was observed for a GRS composed of 14 SCD-SNPs (OR=1.17 [1.05-1.29], P = 0.002). The risk for SCD was 1.5 fold higher in the highest quintile when compared to the lowest quintile (OR = 1.46[1.11-1.92]). We did not observe significant associations with SCD for SNPs that determine electrocardiographic traits.
conclusionsA modest but significant effect on SCD risk was identified for a GRS composed of 14 previously associated SCD SNPs. While next generation sequencing methodology will continue to identify additional novel variants, these findings represent proof of concept for the additive effects of gene variants on SCD risk.
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