ArticleEpigenetics2015
Improved age determination of blood and teeth samples using a selected set of DNA methylation markers.
Article in Epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 5 of them syntheses that pooled it.
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Who cites it
92 citing papers in PubMed, 5 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
- Dental color measurement to estimate age in adults: a systematic review and meta-analysis.Forensic science, medicine, and pathology · 2025Pooled it
- Epigenetic changes in patients with post-acute COVID-19 symptoms (PACS) and long-COVID: A systematic review.Expert reviews in molecular medicine · 2024Pooled it
- Pooled it
- An ELOVL2-Based Epigenetic Clock for Forensic Age Prediction: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Pubertal development in healthy children is mirrored by DNA methylation patterns in peripheral blood.Scientific reports · 2016Trial
- Age estimation from DNA methylation in sectioned pulp-free teeth.International journal of legal medicine · 2026Article
- Chronological age estimation from DNA methylation data in a Serbian population: a SNaPshot-based forensic model.International journal of legal medicine · 2026Article
- Chronological age estimation using CpG methylation signatures in Pakistani population.International journal of legal medicine · 2026Article
- DNA methylation-based multi-tissue age prediction model for blood, saliva, and buccal swab samples.International journal of legal medicine · 2026Article
- Article
- Validation and comparison of Blenkin Taylor Atlas and the London Atlas on an Australian population subset for dental age estimation.International journal of legal medicine · 2026Article
- Review
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives.Genes · 2026Review
- Association of the methylation of age-related epigenetic marker ELOVL2 with neurophysiological alterations and immunosenescence during aging and its modulation by the APOE genotype.Frontiers in immunology · 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
- Exploring Epigenetic Ageing Using Direct Methylome Sequencing.Epigenomes · 2025Article
- A Novel Framework for the Design of Minimized Epigenetic Clocks Using the Analysis of DNA Methylation Heterogeneity.International journal of molecular sciences · 2025Article
- A SNaPshot Assay for Epigenetic Age Prediction of Costal Cartilage.Electrophoresis · 2025Article
32 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Age estimation from DNA methylation markers has seen an exponential growth of interest, not in the least from forensic scientists. The current published assays, however, can still be improved by lowering the number of markers in the assay and by providing more accurate models to predict chronological age. From the published literature we selected 4 age-associated genes (ASPA, PDE4C, ELOVL2, and EDARADD) and determined CpG methylation levels from 206 blood samples of both deceased and living individuals (age range: 0-91 years). This data was subsequently used to compare prediction accuracy with both linear and non-linear regression models. A quadratic regression model in which the methylation levels of ELOVL2 were squared showed the highest accuracy with a Mean Absolute Deviation (MAD) between chronological age and predicted age of 3.75 years and an adjusted R(2) of 0.95. No difference in accuracy was observed for samples obtained either from living and deceased individuals or between the 2 genders. In addition, 29 teeth from different individuals (age range: 19-70 years) were analyzed using the same set of markers resulting in a MAD of 4.86 years and an adjusted R(2) of 0.74. Cross validation of the results obtained from blood samples demonstrated the robustness and reproducibility of the assay. In conclusion, the set of 4 CpG DNA methylation markers is capable of producing highly accurate age predictions for blood samples from deceased and living individuals.
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