ArticleInternational journal of legal medicine2015
Age-related DNA methylation changes for forensic age-prediction.
Article in International journal of legal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 41 citations in OpenAlex.
- Molecular Age Estimation: Current Perspectives and Future Considerations.International journal of molecular sciences · 2026Review
- A methylation panel of 10 CpGs for accurate age inference via stepwise conditional epigenome-wide association study.International journal of legal medicine · 2025Article
- Collaborative exercise: analysis of age estimation using a QIAGEN protocol and the PyroMark Q48 platform.Forensic sciences research · 2024Article
- Predicting Chronological Age from DNA Methylation Data: A Machine Learning Approach for Small Datasets and Limited Predictors.Methods in molecular biology (Clifton, N.J.) · 2022Article
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- [Quantitative analysis of DNA methylation by pyrosequencing and MassARRAY technique for age estimation: a comparative study].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020Article
- AgeGuess, a Methylomic Prediction Model for Human Ages.Frontiers in bioengineering and biotechnology · 2020Article
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- Dynamic DNA Methylation During Aging: A "Prophet" of Age-Related Outcomes.Frontiers in genetics · 2019Review
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- DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing.Forensic science international. Genetics · 2017Article
- Analysis of DNA methylation of potential age-related methylation sites in canine peripheral blood leukocytes.The Journal of veterinary medical science · 2017Article
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Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is no available method of age-prediction for biological samples. The accumulating evidences indicate that DNA methylation patterns change with age. Aging resembles a developmentally regulated process that is tightly controlled by specific epigenetic modifications and age-associated methylation changes exist in human genome. In this study, three age-related methylation fragments were isolated and identified in blood of 40 donors. Age-related methylation changes with each fragment was validated and replicated in a general population sample of 65 donors over a wide age range (11-72 years). Methylation of these fragments is linearly correlated with age over a range of six decades (r = 0.80-0.88). Using average methylation of CpG sites of three fragments, a regression model that explained 95 % of the variance in age was built and is able to predict an individual's age with great accuracy (R (2 )= 0.93). The predicted value is highly correlated with the observed age in the sample (r = 0.96) and has great accuracy of average 4 years difference between predicted age and true age. This study implicates that DNA methylation can be an available biological marker of age-prediction. Further measurement of relevant markers in the genome could be a tool in routine screening to predict age of forensic biological samples.
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