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| Pereira,Andreia; Mendonca,Maria Isabel; Borges,Sofia; Sousa,Ana Célia; Freitas,Sónia; Henriques,Eva; Rodrigues,Mariana; Freitas,Ana Isabel; Guerra,Graça; Freitas,Carolina; Pereira,Décio; Brehm,António; Reis,Roberto Palma Dos. |
| Abstract The utility of genetic risk scores (GRS) as independent risk predictors remains inconclusive. Here, we evaluate the additive value of a multi-locus GRS to the Framingham risk score (FRS) in coronary artery disease (CAD) risk prediction. A total of 2888 individuals (1566 coronary patients and 1322 controls) were divided into three subgroups according to FRS. Multiplicative GRS was determined for 32 genetic variants associated to CAD. Logistic Regression and Area Under the Curve (AUC) were determined first, using the TRF for each FRS subgroup, and secondly, adding GRS. Different models (TRF, TRF+GRS) were used to classify the subjects into risk categories for the FRS 10-year predicted risk. The improvement offered by GRS was expressed as Net... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Coronary artery disease; Genetic risk score; Framingham score; Risk prediction; Risk factors. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572018000500766 |
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