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Updated: Sep 22, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
Obesity and accelerated epigenetic aging in a high-risk cohort of children
Laura Etzel1, Waylon J Hastings1, Molly A Hall2
1Department of Biobehavioral Health, The Pennsylvania State University, 219 Biobehavioral Health Building, University Park, PA, 16802, USA.
Insights
Childhood obesity is linked to accelerated epigenetic aging, a marker of biological aging. This study found higher body mass index (BMI) in children predicted faster epigenetic aging, suggesting early-life impacts on future health risks.
Area of Science:
- Epigenetics
- Pediatric Health
- Aging Research
Background:
- Obesity is increasingly recognized as a disease linked to accelerated biological aging.
- While obesity's association with epigenetic aging is known in adults, its impact in childhood is less understood.
- Cellular aging pathways may mediate the link between obesity and adverse health outcomes.
Purpose of the Study:
- To investigate the association between body mass index (BMI) and accelerated epigenetic aging in a cohort of high-risk children.
- To determine if obesity in childhood predicts epigenetic aging markers.
- To explore the implications of early-life obesity on long-term health and mortality risk.
Main Methods:
- A prospective study of 273 children (aged 8-14 years) assessed for maltreatment.
- Body mass index (BMI) measured as a continuous variable.
- Epigenetic aging assessed using established clocks (Horvath, Hannum, GrimAge, PhenoAge) and the DunedinPoAm algorithm on blood leukocytes.
Main Results:
- Higher age- and sex-adjusted BMI z-scores were significantly correlated with GrimAge, PhenoAge, and DunedinPoAm.
- In fully adjusted models, GrimAge and DunedinPoAm remained significantly associated with higher BMI.
- Maltreatment status was not associated with accelerated epigenetic aging.
Conclusions:
- Accelerated epigenetic aging, as measured by GrimAge and DunedinPoAm, is associated with higher BMI in high-risk children.
- The link between obesity and accelerated epigenetic aging appears to begin in early life.
- These findings highlight potential long-term morbidity and mortality risks associated with childhood obesity.
Abstract:
New insights into mechanisms linking obesity to poor health outcomes suggest a role for cellular aging pathways, casting obesity as a disease of accelerated biological aging. Although obesity has been linked to accelerated epigenetic aging in middle-aged adults, the impact during childhood remains unclear. We tested the association between body mass index (BMI) and accelerated epigenetic aging in a cohort of high-risk children. Participants were children (N = 273, aged 8 to 14 years, 82% investigated for maltreatment) recruited to the Child Health Study, an ongoing prospective study of youth investigated for maltreatment and a comparison youth. BMI was measured as a continuous variable. Accelerated epigenetic aging of blood leukocytes was defined as the age-adjusted residuals of several established epigenetic aging clocks (Horvath, Hannum, GrimAge, PhenoAge) along with a newer algorithm, the DunedinPoAm, developed to quantify the pace-of-aging. Hypotheses were tested with generalized linear models. Higher age-and sex- adjusted z-scored BMI was significantly correlated with household income, blood cell counts, and three of the accelerated epigenetic aging measures: GrimAge (r = 0.31, P < .0001), PhenoAge (r = 0.24, P < .0001), and DunedinPoAm (r = 0.38, P < .0001). In fully adjusted models, GrimAge (β = 0.07; P = .0009) and DunedinPoAm (β = 0.0017; P < .0001) remained significantly associated with higher age- and sex-adjusted z-scored BMI. Maltreatment-status was not associated with accelerated epigenetic aging. In a high-risk cohort of children, higher BMI predicted epigenetic aging as assessed by two epigenetic aging clocks. These results suggest the association between obesity and accelerated epigenetic aging begins in early life, with implications for future morbidity and mortality risk.
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