Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study
De Miguel-Etayo, Pilar
De Henauw, Stefaan
Moreno, Luis A.
Mariano Esteban, Luis
AffiliationDepartment of Ecology and Evolutionary Biology, University of Arizona
MetadataShow full item record
CitationSeral-Cortes, M., Sabroso-Lasa, S., De Miguel-Etayo, P., Gonzalez-Gross, M., Gesteiro, E., Molina-Hidalgo, C., ... & Labayen, I. (2021). Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study. Scientific reports, 11(1), 1-11.
Rights© The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractObesity is the result of interactions between genes and environmental factors. Since monogenic etiology is only known in some obesity-related genes, a genetic risk score (GRS) could be useful to determine the genetic predisposition to obesity. Therefore, the aim of our study was to build a GRS able to predict genetic predisposition to overweight and obesity in European adolescents. A total of 1069 adolescents (51.3% female), aged 11–19 years participating in the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study were genotyped. The sample was divided in non-overweight (non-OW) and overweight/obesity (OW/OB). From 611 single nucleotide polymorphisms (SNP) available, a first screening of 104 SNPs univariately associated with obesity (p < 0.20) was established selecting 21 significant SNPs (p < 0.05) in the multivariate model. Unweighted GRS (uGRS) was calculated by summing the number of risk alleles and weighted GRS (wGRS) by multiplying the risk alleles to each estimated coefficient. The area under curve (AUC) was calculated in uGRS (0.723) and wGRS (0.734) using tenfold internal cross-validation. Both uGRS and wGRS were significantly associated with body mass index (BMI) (p <.001). Both GRSs could potentially be considered as useful genetic tools to evaluate individual’s predisposition to overweight/obesity in European adolescents. © 2021, The Author(s).
NoteOpen access journal
VersionFinal published version
SponsorsH2020 Marie Skłodowska-Curie Actions
Except where otherwise noted, this item's license is described as © The Author(s) 2021. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.