ArticleScientific reports2015
A novel strategy for forensic age prediction by DNA methylation and support vector regression model.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Advancing Forensic Human Chronological Age Estimation: Biochemical, Genetic, and Epigenetic Approaches from the Last 15 Years: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- An ELOVL2-Based Epigenetic Clock for Forensic Age Prediction: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Trial
- A novel approach for age estimation based on blood mitochondrial DNA analysis.International journal of legal medicine · 2026Article
- Less-invasive age estimation using hair based on DNA methylation in brown bears.Scientific reports · 2025Article
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- Improved epigenetic age prediction models by combining sex chromosome and autosomal markers.Epigenetics & chromatin · 2025Article
- Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis.BMC genomics · 2025Article
- A methylation panel of 10 CpGs for accurate age inference via stepwise conditional epigenome-wide association study.International journal of legal medicine · 2025Article
- Epigenetic Clock in Bears: A Simple Cost-Effective Blood DNA Methylation-Based Age Estimation Method Applicable to Multiple Bear Species.Ecology and evolution · 2025Article
- Relationship between physical activity and DNA methylation-predicted epigenetic clocks.npj aging · 2025Article
- Redox Regulation by Priming Agents Toward a Sustainable Agriculture.Plant & cell physiology · 2024Review
- Collaborative exercise: analysis of age estimation using a QIAGEN protocol and the PyroMark Q48 platform.Forensic sciences research · 2024Article
- Machine learning and deep learning enabled age estimation on medial clavicle CT images.International journal of legal medicine · 2024Article
- Getting the chronological age out of DNA: using insights of age-dependent DNA methylation for forensic DNA applications.Genes & genomics · 2023Review
- Prediction of chronological age and its applications in forensic casework: methods, current practices, and future perspectives.Forensic sciences research · 2023Review
- A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator.BMC bioinformatics · 2023Article
- Refining epigenetic prediction of chronological and biological age.Genome medicine · 2023Article
- Article
- Genome-wide DNA methylation status of Mongolians exhibits signs of cellular stress response related to their nomadic lifestyle.Journal of physiological anthropology · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High deviations resulting from prediction model, gender and population difference have limited age estimation application of DNA methylation markers. Here we identified 2,957 novel age-associated DNA methylation sites (P < 0.01 and R(2) > 0.5) in blood of eight pairs of Chinese Han female monozygotic twins. Among them, nine novel sites (false discovery rate < 0.01), along with three other reported sites, were further validated in 49 unrelated female volunteers with ages of 20-80 years by Sequenom Massarray. A total of 95 CpGs were covered in the PCR products and 11 of them were built the age prediction models. After comparing four different models including, multivariate linear regression, multivariate nonlinear regression, back propagation neural network and support vector regression, SVR was identified as the most robust model with the least mean absolute deviation from real chronological age (2.8 years) and an average accuracy of 4.7 years predicted by only six loci from the 11 loci, as well as an less cross-validated error compared with linear regression model. Our novel strategy provides an accurate measurement that is highly useful in estimating the individual age in forensic practice as well as in tracking the aging process in other related applications.
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