Revista: | Genetics and molecular biology |
Base de datos: | PERIÓDICA |
Número de sistema: | 000424544 |
ISSN: | 1415-4757 |
Autores: | Pereira, Andreia1 Mendonca, Maria Isabel1 Borges, Sofia1 Sousa, Ana Célia2 Freitas, Sónia1 Henriques, Eva1 Rodrigues, Mariana1 Freitas, Ana Isabel3 Guerra, Graça3 Freitas, Carolina1 Pereira, Décio1 Brehm, António3 Reis, Roberto Palma Dos2 |
Instituciones: | 1Hospital Dr. Nelio Mendonca, Unidade de Investigação, Funchal, Madeira. Portugal 2Universidade Nova de Lisboa, Faculdade de Ciencias Medicas, Lisboa. Portugal 3Universidade da Madeira, Laboratório de Genética Humana, Madeira. Portugal |
Año: | 2018 |
Periodo: | Dic |
Volumen: | 41 |
Número: | 4 |
Paginación: | 766-774 |
País: | Brasil |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Analítico, descriptivo |
Resumen en inglés | 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 predic-tion. A total of 2888 individuals (1566 coronary patients and 1322 controls) were divided into three subgroups accord-ing to FRS. Multiplicative GRS was determined for 32 genetic variants associated to CAD. Logistic Regression andArea Under the Curve (AUC) were determined first, using the TRF for each FRS subgroup, and secondly, addingGRS. Different models (TRF, TRF+GRS) were used to classify the subjects into risk categories for the FRS 10-yearpredicted risk. The improvement offered by GRS was expressed as Net Reclassification Index and Integrated Dis-crimination Improvement. Multivariate analysis showed that GRS was an independent predictor for CAD (OR = 1.87;p<0.0001). Diabetes, arterial hypertension, dyslipidemia and smoking status were also independent CAD predictors(p<0.05). GRS added predictive value to TRF across all risk subgroups. NRI showed a significant improvement in allcategories. In conclusion, GRS provided a better incremental value in intermediate subgroup. In this subgroup, inclu-sion of genotyping may be considered to better stratify cardiovascular risk |
Disciplinas: | Medicina, Química |
Palabras clave: | Sistema cardiovascular, Genética, Bioquímica, Enfermedad de la arteria coronaria, Puntuacion de Riesgo genético, Puntuación de riesgo de Framingham, Predicción de riesgo, Factores de riesgo |
Keyword: | Cardiovascular system, Genetics, Biochemistry, Coronary artery disease, Genetic risk score, Framingham risk score, Risk prediction, Risk factors |
Texto completo: | Texto completo (Ver PDF) |