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Updated: Jun 14, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
[Association between DNA methylation clock and obesity-related indicators: A longitudinal twin study]
1Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Obesity indicators like BMI correlate with accelerated DNA methylation aging. Higher baseline obesity may increase epigenetic aging over time, suggesting long-term health impacts. Shared genetic or environmental factors may confound these associations.
Area of Science:
- Epigenetics
- Aging Research
- Metabolic Health
Background:
- Obesity is a growing global health concern linked to various chronic diseases.
- DNA methylation clocks are biomarkers of biological aging.
- Understanding the interplay between obesity and epigenetic aging is crucial for public health.
Purpose of the Study:
- To investigate the association between obesity indicators and DNA methylation clock acceleration.
- To analyze the temporal sequence of obesity and epigenetic aging.
Main Methods:
- Utilized data from the Chinese National Twin Registry (2013 and 2017-2018).
- Measured DNA methylation using Illumina 450K and EPIC BeadChips.
- Calculated DNA methylation clocks (GrimAA, PCGrimAA, DunedinPACE) and analyzed associations using mixed-effects and cross-lagged panel models in twin pairs.
Main Results:
- Obesity indicators (weight, BMI, waist circumference, WHR, WHtR) positively correlated with DunedinPACE, with WHtR showing the strongest association.
- Weight and BMI were negatively associated with GrimAA and PCGrimAA.
- Cross-lagged models suggested baseline obesity may accelerate epigenetic aging (GrimAA, PCGrimAA, DunedinPACE) over time, though within-pair analyses showed no significant correlations.
Conclusions:
- Obesity indicators are associated with DNA methylation clock acceleration.
- Obesity may influence epigenetic aging, potentially contributing to long-term health effects.
- Shared genetic or environmental factors within twin pairs may confound observed associations.
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