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Genetic Risk Analysis of Coronary Artery Disease in a Population-based Study in Portugal, Using a Genetic Risk Score of 31 Variants

2018-07Journal article Open access
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dc.contributor.authorPereira, Andreia
dc.contributor.authorMendonça, Maria Isabel
dc.contributor.authorBorges, Sofia
dc.contributor.authorFreitas, Sónia
dc.contributor.authorHenriques, Eva
dc.contributor.authorRodrigues, Mariana
dc.contributor.authorFreitas, Ana Isabel
dc.contributor.authorSousa, Ana Célia
dc.contributor.authorBrehm, António
dc.contributor.authorPalma dos Reis, Roberto
dc.date.accessioned2019-01-17T12:24:15Z
dc.date.available2019-01-17T12:24:15Z
dc.date.issued2018-07
dc.description.abstractBackground: Genetic risk score can quantify individual’s predisposition to coronary artery disease; however, its usefulness as an independent risk predictor remains inconclusive. Objective: To evaluate the incremental predictive value of a genetic risk score to traditional risk factors associated with coronary disease. Methods: Thirty-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. Results: The 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). Conclusions: In 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPereira, A., Mendonça, M. I., Borges, S., Freitas, S., Henriques, E., Rodrigues, M., ... & Reis, R. P. D. (2018). Genetic risk analysis of coronary artery disease in a population-based study in portugal, using a genetic risk score of 31 variants. Arquivos brasileiros de cardiologiapt_PT
dc.identifier.doi10.5935/abc.20180107pt_PT
dc.identifier.issn0066-782X
dc.identifier.urihttp://hdl.handle.net/10400.26/25692
dc.language.isoengpt_PT
dc.publisherSociedade Brasileira de Cardiologiapt_PT
dc.subjectCase-Control Studiespt_PT
dc.subjectCoronary Artery Diseasept_PT
dc.subjectFemalept_PT
dc.subjectGenetic Predisposition to Diseasept_PT
dc.subjectGenetic Testingpt_PT
dc.subjectGenotypept_PT
dc.subjectHumanspt_PT
dc.subjectMalept_PT
dc.subjectMiddle Agedpt_PT
dc.subjectPortugalpt_PT
dc.subjectPrognosispt_PT
dc.subjectROC Curvept_PT
dc.subjectRisk Assessmentpt_PT
dc.subjectRisk Factorspt_PT
dc.titleGenetic Risk Analysis of Coronary Artery Disease in a Population-based Study in Portugal, Using a Genetic Risk Score of 31 Variantspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage61pt_PT
oaire.citation.startPage50pt_PT
oaire.citation.titleArquivos Brasileiros de Cardiologiapt_PT
oaire.citation.volume111(1)pt_PT
person.familyNamepereira
person.familyNameMendonca
person.familyNameBorges
person.familyNameFreitas
person.familyNameHenriques
person.familyNameRodrigues
person.familyNameSousa
person.familyNameReis
person.givenNameandreia
person.givenNameMaria Isabel
person.givenNameSofia
person.givenNameSónia
person.givenNameEva
person.givenNameMariana Rodrigues
person.givenNameAna Célia
person.givenNameRoberto
person.identifier.orcid0000-0001-5129-2478
person.identifier.orcid0000-0001-5450-5213
person.identifier.orcid0000-0002-9413-7942
person.identifier.orcid0000-0001-5204-8928
person.identifier.orcid0000-0002-7312-5272
person.identifier.orcid0000-0001-7280-0021
person.identifier.orcid0000-0002-2069-0278
person.identifier.orcid0000-0003-2803-8193
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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SESARAM - C - Unidade de Investigação Dr.ª Maria Isabel Mendonça