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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.
Pereira, Andreia; Mendonça, Maria Isabel; Borges, Sofia; Freitas, Sónia; Henriques, Eva; Rodrigues, Mariana; Freitas, Ana Isabel; Sousa, Ana Célia; Brehm, António; Reis, Roberto Palma Dos.
Afiliação
  • Pereira A; Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal.
  • Mendonça MI; Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal.
  • Borges S; Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal.
  • Freitas S; Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal.
  • Henriques E; Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal.
  • Rodrigues M; Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal.
  • Freitas AI; Laboratório de Genética Humana, Universidade da Madeira, Funchal - Portugal.
  • Sousa AC; Unidade de Investigação, Hospital Dr. Nélio Mendonça, Funchal - Portugal.
  • Brehm A; Laboratório de Genética Humana, Universidade da Madeira, Funchal - Portugal.
  • Reis RPD; Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa - Portugal.
Arq Bras Cardiol ; 111(1): 50-61, 2018 Jul.
Article em En, Pt | MEDLINE | ID: mdl-29972410
ABSTRACT

BACKGROUND:

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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Predisposição Genética para Doença Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Limite: Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En / Pt Revista: Arq Bras Cardiol Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Predisposição Genética para Doença Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Aspecto: Patient_preference Limite: Female / Humans / Male / Middle aged País/Região como assunto: Europa Idioma: En / Pt Revista: Arq Bras Cardiol Ano de publicação: 2018 Tipo de documento: Article