Abstract
Abstract – Background: Childhood obesity is a global health challenge driven by a complex interplay of genetic predispositions and environmental exposures. Genome-wide association studies have identified many obesity-associated loci, and polygenic risk scores (PRS) enable quantification of genetic susceptibility. Concurrently, lifestyle factors – including diet, physical activity, sleep, stress, and socioeconomic status – modify these genetic risks. Summary: Healthy lifestyle practices can mitigate genetic risk, while unhealthy diets and sedentary habits amplify it. The review details how PRS, by capturing the cumulative effect of numerous small-effect variants, facilitate risk stratification in children. Furthermore, gene-environment interactions – from diet and exercise to sleep, stress, and socioeconomic conditions – might inform personalized intervention strategies, including tailored nutritional guidance, behavior modification, and targeted physical activity interventions initiated early. Key Message: Understanding gene-environment interactions is essential for refining risk assessments and developing personalized, equitable public health strategies. Future research should focus on enhancing multi-ancestry PRS accuracy, elucidating underlying biological pathways, and translating genetic insights into actionable, context-specific interventions to combat childhood obesity.
| Original language | English |
|---|---|
| Pages (from-to) | 228-236 |
| Number of pages | 9 |
| Journal | Hormone Research in Paediatrics |
| Volume | 99 |
| Issue number | 2 |
| Early online date | 17 Jun 2025 |
| DOIs | |
| Publication status | Published - Mar 2026 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Polygenic Childhood Obesity: Integrating Genetics and Environment for Early Intervention'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver