Pérez-Gimeno, GloriaSeral-Cortes, MiguelSabroso-Lasa, SergioEsteban, Luis MarianoLurbe, EmparBéghin, LaurentGottrand, FredericMeirhaeghe, AlineMuntaner, ManonKafatos, AnthonyMolnár, DénesLeclercq, CatherineWidhalm, KurtKersting, MathildeNova, EstherSalazar-Tortosa, Diego FGonzalez-Gross, MarcelaBreidenassel, ChristinaSinningen, KathrinDe Ruyter, ThaïsLabayen, IdoiaRupérez, Azahara IBueno-Lozano, GloriaMoreno, Luis AHELENA study groupPérez-Gimeno, GloriaSeral-Cortes, MiguelSabroso-Lasa, SergioEsteban, Luis MarianoLurbe, EmparBéghin, LaurentGottrand, FredericMeirhaeghe, AlineMuntaner, ManonKafatos, AnthonyMolnár, DénesLeclercq, CatherineWidhalm, KurtKersting, MathildeNova, EstherSalazar-Tortosa, Diego FGonzalez-Gross, MarcelaBreidenassel, ChristinaSinningen, KathrinDe Ruyter, ThaïsLabayen, IdoiaRupérez, Azahara IBueno-Lozano, GloriaMoreno, Luis AHELENA study group2024-09-162024-09-162023-06-01Front Cardiovasc Med . 2023 :10:11189192297-055Xhttps://hdl.handle.net/20.500.12105/23124INTRODUCTION: From genome wide association study (GWAS) a large number of single nucleotide polymorphisms (SNPs) have previously been associated with blood pressure (BP) levels. A combination of SNPs, forming a genetic risk score (GRS) could be considered as a useful genetic tool to identify individuals at risk of developing hypertension from early stages in life. Therefore, the aim of our study was to build a GRS being able to predict the genetic predisposition to hypertension (HTN) in European adolescents. METHODS: Data were extracted from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study. A total of 869 adolescents (53% female), aged 12.5-17.5, with complete genetic and BP information were included. The sample was divided into altered (?130 mmHg for systolic and/or ?80 mmHg for diastolic) or normal BP. Based on the literature, a total of 1.534 SNPs from 57 candidate genes related with BP were selected from the HELENA GWAS database. RESULTS: From 1,534 SNPs available, An initial screening of SNPs univariately associated with HTN (p < 0.10) was established, to finally obtain a number of 16 SNPs significantly associated with HTN (p < 0.05) in the multivariate model. The unweighted GRS (uGRS) and weighted GRS (wGRS) were estimated. To validate the GRSs, the area under the curve (AUC) was explored using ten-fold internal cross-validation for uGRS (0.802) and wGRS (0.777). Further covariates of interest were added to the analyses, obtaining a higher predictive ability (AUC values of uGRS: 0.879; wGRS: 0.881 for BMI z-score). Furthermore, the differences between AUCs obtained with and without the addition of covariates were statistically significant (p < 0.05). CONCLUSIONS: Both GRSs, the uGRS and wGRS, could be useful to evaluate the predisposition to hypertension in European adolescents.engVoRhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacional3732461910111891910.3389/fcvm.2023.1118919Frontiers in cardiovascular medicineopen access