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Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
Published on: January 30, 2026
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DNA methylation-based age prediction from various tissues and body fluids
Sang-Eun Jung1, Kyoung-Jin Shin1, Hwan Young Lee1
1Department of Forensic Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
BMB Reports
|September 27, 2017
Summary
DNA methylation patterns change with age, enabling accurate age prediction from forensic samples. This review explores age-associated DNA methylation and its forensic applications.
Area of Science:
- Epigenetics
- Forensic Science
- Molecular Biology
Background:
- Aging is a natural process influenced by genetics, environment, lifestyle, and disease.
- DNA methylation patterns exhibit age-related variations.
- Predicting donor age from DNA in forensic evidence is highly valuable.
Purpose of the Study:
- To review age-associated DNA methylation changes.
- To examine age prediction models using DNA methylation from various tissues and body fluids.
- To discuss the applicability of DNA methylation-based age prediction in forensic investigations.
Main Methods:
- Review of recent studies on age prediction models based on DNA methylation.
- Analysis of age-associated DNA methylation patterns in different tissues and body fluids.
- Evaluation of the forensic applicability of these predictive models.
Main Results:
- Numerous promising age prediction models based on DNA methylation have been developed with high accuracy.
- DNA methylation markers show potential as biomarkers in both forensic and clinical fields.
- Understanding these markers can enhance forensic investigations.
Conclusions:
- Age-related DNA methylation patterns offer a promising tool for forensic age prediction.
- Further understanding of DNA methylation markers will improve their utility in forensic and clinical settings.
- This approach holds significant potential for advancing forensic science.
