ArticleScientific reports2017
Forensic age prediction for saliva samples using methylation-sensitive high resolution melting: exploratory application for cigarette butts.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 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
- DNA recovery and STR profiling from heated tobacco sticks for forensic personal identification.Forensic science, medicine, and pathology · 2026Article
- Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis.BMC genomics · 2025Article
- EpiAge: a next-generation sequencing-basedAging · 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
- Uncovering Forensic Evidence: A Path to Age Estimation through DNA Methylation.International journal of molecular sciences · 2024Review
- Loss of the Y Chromosome: A Review of Molecular Mechanisms, Age Inference, and Implications for Men's Health.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
- 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
- Promising applications of human-derived saliva biomarker testing in clinical diagnostics.International journal of oral science · 2023Review
- Article
- Age estimation using methylation-sensitive high-resolution melting (MS-HRM) in both healthy felines and those with chronic kidney disease.Scientific reports · 2021Article
- Developments in forensic DNA analysis.Emerging topics in life sciences · 2021Review
- Article
- Artificial neural network, predictor variables and sensitivity threshold for DNA methylation-based age prediction using blood samples.Scientific reports · 2021Article
- Facial Genetics: A Brief Overview.Frontiers in genetics · 2018Review
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
There is high demand for forensic age prediction in actual crime investigations. In this study, a novel age prediction model for saliva samples using methylation-sensitive high resolution melting (MS-HRM) was developed. The methylation profiles of ELOVL2 and EDARADD showed high correlations with age and were used to predict age with support vector regression. ELOVL2 was first reported as an age predictive marker for saliva samples. The prediction model showed high accuracy with a mean absolute deviation (MAD) from chronological age of 5.96 years among 197 training samples. The model was further validated with an additional 50 test samples (MAD = 6.25). In addition, the age prediction model was applied to saliva extracted from seven cigarette butts, as in an actual crime scene. The MAD (7.65 years) for these samples was slightly higher than that of intact saliva samples. A smoking habit or the ingredients of cigarettes themselves did not significantly affect the prediction model and could be ignored. MS-HRM provides a quick (2 hours) and cost-effective (95% decreased compared to that of DNA chips) method of analysis. Thus, this study may provide a novel strategy for predicting the age of a person of interest in actual crime scene investigations.
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