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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

2018Journal 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.authorReis, Roberto Palma dos
dc.date.accessioned2020-11-13T10:33:54Z
dc.date.available2020-11-13T10:33:54Z
dc.date.issued2018
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 Cardiologia, 111(1), 50-61.pt_PT
dc.identifier.doi10.5935/abc.20180107pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/2974
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSociedade Brasileira de Cardiologiapt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCoronary artery diseasept_PT
dc.subjectHistorypt_PT
dc.subjectMorbiditypt_PT
dc.subjectMortalitypt_PT
dc.subjectPolymorphismpt_PT
dc.subjectEpidemiologypt_PT
dc.subjectRisk factorspt_PT
dc.subjectPortugalpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências da Vidapt_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.familyNameBrehm
person.familyNamePalma dos Reis
person.givenNameAntonio
person.givenNameRoberto José
person.identifier.ciencia-id3613-8D1F-0EDF
person.identifier.ciencia-idE915-4E29-A5FA
person.identifier.orcid0000-0003-3168-5340
person.identifier.scopus-author-idAuthor ID 7006085833
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication62d279e2-247a-4652-a370-3e8c2a846e31
relation.isAuthorOfPublication5c115130-eb5e-4d69-a0fb-096a1260410a
relation.isAuthorOfPublication.latestForDiscovery5c115130-eb5e-4d69-a0fb-096a1260410a

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