ArticleInternational journal of molecular sciences2023
Forensic Age Estimation through a DNA Methylation-Based Age Prediction Model in the Italian Population: A Pilot Study.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline 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
- Development of a precise saliva-based epigenetic clock using a six-CpG-marker panel.International journal of legal medicine · 2026Article
- Evaluation of the use of molecular markers for the prediction of human facial features for forensic purposes: a systematic review.International journal of legal medicine · 2026Review
- Chronological age estimation using CpG methylation signatures in Pakistani population.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
- Immunohistological detection of pentosidine in the epiglottis:A contribution to molecular age estimation.International journal of legal medicine · 2026Article
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives.Genes · 2026Review
- A new robust AI/ML based model for accurate forensic age estimation using DNA methylation markers.Forensic science, medicine, and pathology · 2025Article
- Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis.BMC genomics · 2025Article
- A Ge.F.I. Collaborative Study: Evaluating Reproducibility and Accuracy of a DNA-Methylation-Based Age-Predictive Assay for Routine Implementation in Forensic Casework.Electrophoresis · 2025Article
- Age estimation of burnt human remains through DNA methylation analysis.International journal of legal medicine · 2025Article
- Studying eruption patterns of mandibular third molars for forensic age assessment: Introducing current reference data from a population of black South Africans.International journal of legal medicine · 2024Article
- Uncovering Forensic Evidence: A Path to Age Estimation through DNA Methylation.International journal of molecular sciences · 2024Review
- Estimation of Human Chronological Age from Buccal Swab Samples through a DNA Methylation Analysis Approach of a Five-Locus Multiple Regression Model.International journal of molecular sciences · 2024Article
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7 authors.
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Abstract
DNA methylation is one of the epigenetic marks which has been studied intensively in recent years for age predicting purposes in the forensic area. In order to integrate age prediction into routine forensic workflow, the purpose of this study was to standardize and optimize a DNA methylation-based protocol tailored to the Italian context. A previously published protocol and age-predictive method was implemented for the analysis of 84 blood samples originating from Central Italy. The study here presented is based on the Single Base Extension method, considering five genes: ELOVL2, FHL2, KLF14, C1orf132, now identified as MIR29B2C, and TRIM59. The precise and specific steps consist of DNA extraction and quantification, bisulfite conversion, amplification of converted DNA, first purification, single base extension, second purification, capillary electrophoresis, and analysis of the results to train and test the tool. The prediction error obtained, expressed as mean absolute deviation, showed a value of 3.12 years in the training set and 3.01 years in the test set. Given that population-based differences in DNA methylation patterns have been previously reported in the literature, it would be useful to further improve the study implementing additional samples representative of the entire Italian population.
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