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Updated: Jul 1, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Epigenetic gestational age acceleration and indicators of BMI trajectories in childhood
Aminata Hallimat Cissé1, Irene F Marques2,3, Wen Lun Yuan1
1Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France.
Insights
Positive epigenetic gestational age acceleration is linked to a later adiposity peak and lower BMI rebound in children. This finding sheds light on epigenetic influences on childhood BMI trajectories.
Area of Science:
- Epigenetics
- Pediatrics
- Human Development
Background:
- Epigenetic gestational age acceleration (EGAA) is linked to birth weight and later childhood weight.
- Understanding EGAA's role in childhood BMI trajectories is crucial for public health.
Purpose of the Study:
- To investigate associations between EGAA and age/BMI at adiposity peak and rebound.
- To explore epigenetic mechanisms influencing childhood BMI trajectories.
Main Methods:
- Utilized DNA methylation data from the EDEN and Generation R studies.
- Applied linear regression and meta-analysis to assess EGAA's impact on adiposity timing.
- Adjusted for multiple covariates including maternal and child factors.
Main Results:
- Higher EGAA correlated with a later age at adiposity peak (3.96 days later per week acceleration).
- Higher EGAA was associated with lower BMI at adiposity rebound (–0.08 kg/m²).
- No significant associations found for BMI at adiposity peak or age at adiposity rebound.
Conclusions:
- Positive EGAA is associated with later adiposity peak and lower BMI rebound.
- Residual acceleration showed no associations, suggesting clinical gestational age influences findings.
- Further research is needed to clarify EGAA's role in programming adiposity trajectories.
Abstract:
Positive epigenetic gestational age acceleration, an epigenetic gestational age higher than the clinical gestational age, has been associated with higher birthweight and lower weight from 5 years onwards. We investigated the associations of epigenetic gestational age acceleration with age and BMI at adiposity peak and rebound to better understand epigenetic mechanisms associated with childhood BMI trajectories. DNA methylation, adiposity peak and adiposity rebound were available in 157 and 1247 children of the EDEN and Generation R Studies, respectively. We used linear regression models to test associations of epigenetic gestational age acceleration, estimated using the Bohlin and Knight clocks, with age and BMI at adiposity peak and rebound in both studies, and meta-analysed the results. Models were adjusted for maternal age, maternal and paternal education, maternal and paternal BMI, gestational weight gain, maternal smoking during pregnancy, child sex, and cell types. Multiple imputation was used to deal with missing values for covariates. In the meta-analysis, a higher raw epigenetic gestational age acceleration was associated with a later age at adiposity peak with an increase of one week in epigenetic gestational age acceleration being associated with 3.96 days later age at adiposity peak [95% confidence interval: 1.43; 6.49], and with a lower BMI at adiposity rebound (β[CI95%] =-0.08 [-0.13; -0.02] kg/m2). No associations were found with BMI at adiposity peak or age at adiposity rebound. In conclusion, positive raw epigenetic gestational age acceleration was associated with later age at adiposity peak and lower BMI at adiposity rebound. Residual acceleration showed no associations, suggesting that shared variance with clinical gestational age may partly explain the findings. Further studies are needed to better understand whether and how epigenetic gestational age acceleration contributes to early programming of adiposity trajectories.
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