ArticleArquivos brasileiros de cardiologia2018
Genetic Risk Analysis of Coronary Artery Disease in a Population-based Study in Portugal, Using a Genetic Risk Score of 31 Variants.
Article in Arquivos brasileiros de cardiologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Genetic Polymorphisms and Genetic Risk Scores Contribute to the Risk of Coronary Artery Disease (CAD) in a North Indian Population.International journal of molecular sciences · 2024Article
- Genetic information improves the prediction of major adverse cardiovascular events in the GENEMACOR population.Genetics and molecular biology · 2021Article
- Genetic Basis of Obesity and Type 2 Diabetes in Africans: Impact on Precision Medicine.Current diabetes reports · 2019Review
- Genetic Risk in Coronary Artery Disease.Arquivos brasileiros de cardiologia · 2018Article
- Precision Medicine in Lifestyle Medicine: The Way of the Future?American journal of lifestyle medicineReview
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10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundGenetic risk score can quantify individual's predisposition to coronary artery disease; however, its usefulness as an independent risk predictor remains inconclusive.
objectiveTo evaluate the incremental predictive value of a genetic risk score to traditional risk factors associated with coronary disease.
methodsThirty-three genetic variants previously associated with coronary disease were analyzed in a case-control population with 2,888 individuals. A multiplicative genetic risk score was calculated and then divided into quartiles, with the 1st quartile as the reference class. Coronary risk was determined by logistic regression analysis. Then, a second logistic regression was performed with traditional risk factors and the last quartile of the genetic risk score. Based on this model, two ROC curves were constructed with and without the genetic score and compared by the Delong test. Statistical significance was considered when p values were less than 0.05.
resultsThe last quartile of the multiplicative genetic risk score revealed a significant increase in coronary artery disease risk (OR = 2.588; 95% CI: 2.090-3.204; p < 0.0001). The ROC curve based on traditional risk factors estimated an AUC of 0.72, which increased to 0.74 when the genetic risk score was added, revealing a better fit of the model (p < 0.0001).
conclusionsIn conclusion, a multilocus genetic risk score was associated with an increased risk for coronary disease in our population. The usual model of traditional risk factors can be improved by incorporating genetic data.
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