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Polygenic risk for obesity and its interaction with lifestyle and sociodemographic factors in European children and adolescents

BACKGROUND: Childhood obesity is a complex multifaceted condition, which is influenced by genetics, environmental factors, and their interaction. However, these interactions have mainly been studied in twin studies and evidence from population-based cohorts is limited. Here, we analyze the interacti...

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Detalles Bibliográficos
Autores principales: Hüls, Anke, Wright, Marvin N., Bogl, Leonie H., Kaprio, Jaakko, Lissner, Lauren, Molnár, Dénes, Moreno, Luis A., De Henauw, Stefaan, Siani, Alfonso, Veidebaum, Toomas, Ahrens, Wolfgang, Pigeot, Iris, Foraita, Ronja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8159747/
https://www.ncbi.nlm.nih.gov/pubmed/33753884
http://dx.doi.org/10.1038/s41366-021-00795-5
Descripción
Sumario:BACKGROUND: Childhood obesity is a complex multifaceted condition, which is influenced by genetics, environmental factors, and their interaction. However, these interactions have mainly been studied in twin studies and evidence from population-based cohorts is limited. Here, we analyze the interaction of an obesity-related genome-wide polygenic risk score (PRS) with sociodemographic and lifestyle factors for BMI and waist circumference (WC) in European children and adolescents. METHODS: The analyses are based on 8609 repeated observations from 3098 participants aged 2–16 years from the IDEFICS/I.Family cohort. A genome-wide polygenic risk score (PRS) was calculated using summary statistics from independent genome-wide association studies of BMI. Associations were estimated using generalized linear mixed models adjusted for sex, age, region of residence, parental education, dietary intake, relatedness, and population stratification. RESULTS: The PRS was associated with BMI (beta estimate [95% confidence interval (95%—CI)] = 0.33 [0.30, 0.37], r(2) = 0.11, p value = 7.9 × 10(−81)) and WC (beta [95%—CI] = 0.36 [0.32, 0.40], r(2) = 0.09, p value = 1.8 × 10(−71)). We observed significant interactions with demographic and lifestyle factors for BMI as well as WC. Children from Southern Europe showed increased genetic liability to obesity (BMI: beta [95%—CI] = 0.40 [0.34, 0.45]) in comparison to children from central Europe (beta [95%—CI] = 0.29 [0.23, 0.34]), p-interaction = 0.0066). Children of parents with a low level of education showed an increased genetic liability to obesity (BMI: beta [95%—CI] = 0.48 [0.38, 0.59]) in comparison to children of parents with a high level of education (beta [95%—CI] = 0.30 [0.26, 0.34]), p-interaction = 0.0012). Furthermore, the genetic liability to obesity was attenuated by a higher intake of fiber (BMI: beta [95%—CI] interaction = −0.02 [−0.04,−0.01]) and shorter screen times (beta [95%—CI] interaction = 0.02 [0.00, 0.03]). CONCLUSIONS: Our results highlight that a healthy childhood environment might partly offset a genetic predisposition to obesity during childhood and adolescence.