Advanced search
1 file | 1.35 MB Add to list

Development of a genetic risk score to predict the risk of overweight and obesity in European adolescents from the HELENA study

Author
Organization
Project
Abstract
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.

Downloads

  • published.pdf
    • full text (Published version)
    • |
    • open access
    • |
    • PDF
    • |
    • 1.35 MB

Citation

Please use this url to cite or link to this publication:

MLA
Seral-Cortes, Miguel, et al. “Development of a Genetic Risk Score to Predict the Risk of Overweight and Obesity in European Adolescents from the HELENA Study.” SCIENTIFIC REPORTS, vol. 11, no. 1, Nature Research, 2021, doi:10.1038/s41598-021-82712-4.
APA
Seral-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). https://doi.org/10.1038/s41598-021-82712-4
Chicago author-date
Seral-Cortes, Miguel, Sergio Sabroso-Lasa, Pilar De Miguel-Etayo, Marcela Gonzalez-Gross, Eva Gesteiro, Cristina Molina-Hidalgo, Stefaan De Henauw, et al. 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). https://doi.org/10.1038/s41598-021-82712-4.
Chicago author-date (all authors)
Seral-Cortes, Miguel, Sergio Sabroso-Lasa, Pilar De Miguel-Etayo, Marcela Gonzalez-Gross, Eva Gesteiro, Cristina Molina-Hidalgo, Stefaan De Henauw, Frederic Gottrand, Christina Mavrogianni, Yannis Manios, Maria Plada, Kurt Widhalm, Anthony Kafatos, Eva Erhardt, Aline Meirhaeghe, Diego Salazar-Tortosa, Jonatan Ruiz, Luis A. Moreno, Luis Mariano Esteban, and Idoia Labayen. 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). doi:10.1038/s41598-021-82712-4.
Vancouver
1.
Seral-Cortes M, Sabroso-Lasa S, De Miguel-Etayo P, Gonzalez-Gross M, Gesteiro E, Molina-Hidalgo C, et al. Development of a genetic risk score to predict the risk of overweight and obesity in European adolescents from the HELENA study. SCIENTIFIC REPORTS. 2021;11(1).
IEEE
[1]
M. Seral-Cortes et al., “Development of a genetic risk score to predict the risk of overweight and obesity in European adolescents from the HELENA study,” SCIENTIFIC REPORTS, vol. 11, no. 1, 2021.
@article{01GW4DDQQKKM1MJ76X8AAKJFJG,
  abstract     = {{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.}},
  articleno    = {{3067}},
  author       = {{Seral-Cortes, Miguel and  Sabroso-Lasa, Sergio and  De Miguel-Etayo, Pilar and  Gonzalez-Gross, Marcela and  Gesteiro, Eva and  Molina-Hidalgo, Cristina and De Henauw, Stefaan and  Gottrand, Frederic and  Mavrogianni, Christina and  Manios, Yannis and  Plada, Maria and  Widhalm, Kurt and  Kafatos, Anthony and  Erhardt, Eva and  Meirhaeghe, Aline and  Salazar-Tortosa, Diego and  Ruiz, Jonatan and  Moreno, Luis A. and  Mariano Esteban, Luis and  Labayen, Idoia}},
  issn         = {{2045-2322}},
  journal      = {{SCIENTIFIC REPORTS}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{11}},
  publisher    = {{Nature Research}},
  title        = {{Development of a genetic risk score to predict the risk of overweight and obesity in European adolescents from the HELENA study}},
  url          = {{http://doi.org/10.1038/s41598-021-82712-4}},
  volume       = {{11}},
  year         = {{2021}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: