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Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study

Obesity 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...

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Autores principales: Seral-Cortes, Miguel, Sabroso-Lasa, Sergio, De Miguel-Etayo, Pilar, Gonzalez-Gross, Marcela, Gesteiro, Eva, Molina-Hidalgo, Cristina, De Henauw, Stefaan, Gottrand, Frederic, Mavrogianni, Christina, Manios, Yannis, Plada, Maria, Widhalm, Kurt, Kafatos, Anthony, Erhardt, Éva, Meirhaeghe, Aline, Salazar-Tortosa, Diego, Ruiz, Jonatan, Moreno, Luis A., Esteban, Luis Mariano, Labayen, Idoia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862459/
https://www.ncbi.nlm.nih.gov/pubmed/33542408
http://dx.doi.org/10.1038/s41598-021-82712-4
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author Seral-Cortes, Miguel
Sabroso-Lasa, Sergio
De Miguel-Etayo, Pilar
Gonzalez-Gross, Marcela
Gesteiro, Eva
Molina-Hidalgo, Cristina
De Henauw, Stefaan
Gottrand, Frederic
Mavrogianni, Christina
Manios, Yannis
Plada, Maria
Widhalm, Kurt
Kafatos, Anthony
Erhardt, Éva
Meirhaeghe, Aline
Salazar-Tortosa, Diego
Ruiz, Jonatan
Moreno, Luis A.
Esteban, Luis Mariano
Labayen, Idoia
author_facet Seral-Cortes, Miguel
Sabroso-Lasa, Sergio
De Miguel-Etayo, Pilar
Gonzalez-Gross, Marcela
Gesteiro, Eva
Molina-Hidalgo, Cristina
De Henauw, Stefaan
Gottrand, Frederic
Mavrogianni, Christina
Manios, Yannis
Plada, Maria
Widhalm, Kurt
Kafatos, Anthony
Erhardt, Éva
Meirhaeghe, Aline
Salazar-Tortosa, Diego
Ruiz, Jonatan
Moreno, Luis A.
Esteban, Luis Mariano
Labayen, Idoia
author_sort Seral-Cortes, Miguel
collection PubMed
description Obesity 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.
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spelling pubmed-78624592021-02-08 Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study Seral-Cortes, Miguel Sabroso-Lasa, Sergio De Miguel-Etayo, Pilar Gonzalez-Gross, Marcela Gesteiro, Eva Molina-Hidalgo, Cristina De Henauw, Stefaan Gottrand, Frederic Mavrogianni, Christina Manios, Yannis Plada, Maria Widhalm, Kurt Kafatos, Anthony Erhardt, Éva Meirhaeghe, Aline Salazar-Tortosa, Diego Ruiz, Jonatan Moreno, Luis A. Esteban, Luis Mariano Labayen, Idoia Sci Rep Article Obesity 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. Nature Publishing Group UK 2021-02-04 /pmc/articles/PMC7862459/ /pubmed/33542408 http://dx.doi.org/10.1038/s41598-021-82712-4 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Seral-Cortes, Miguel
Sabroso-Lasa, Sergio
De Miguel-Etayo, Pilar
Gonzalez-Gross, Marcela
Gesteiro, Eva
Molina-Hidalgo, Cristina
De Henauw, Stefaan
Gottrand, Frederic
Mavrogianni, Christina
Manios, Yannis
Plada, Maria
Widhalm, Kurt
Kafatos, Anthony
Erhardt, Éva
Meirhaeghe, Aline
Salazar-Tortosa, Diego
Ruiz, Jonatan
Moreno, Luis A.
Esteban, Luis Mariano
Labayen, Idoia
Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study
title Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study
title_full Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study
title_fullStr Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study
title_full_unstemmed Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study
title_short Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study
title_sort development of a genetic risk score to predict the risk of overweight and obesity in european adolescents from the helena study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862459/
https://www.ncbi.nlm.nih.gov/pubmed/33542408
http://dx.doi.org/10.1038/s41598-021-82712-4
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