ReviewForensic sciences research2023
Prediction of chronological age and its applications in forensic casework: methods, current practices, and future perspectives.
Review in Forensic sciences research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
- Article
- Chronological age estimation from DNA methylation data in a Serbian population: a SNaPshot-based forensic model.International journal of legal medicine · 2026Article
- Digital PCR in forensic genetics: principles, applications, and challenges.International journal of legal medicine · 2026Review
- Development of a Model for Predicting Chronological Age Based on DNA Methylation Data from Buccal Swabs Using Ion Torrent S5 Technology.International journal of molecular sciences · 2026Article
- Forensic dental age estimation in a Pakistani population: validation of Atlas methods and development of a population-specific reference model.BMC oral health · 2026Article
- Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives.Genes · 2026Review
- Deep learning-based method for estimating age from periapical radiographs of upper incisors in a Thai population.Imaging science in dentistry · 2025Article
- Article
- A SNaPshot Assay for Epigenetic Age Prediction of Costal Cartilage.Electrophoresis · 2025Article
- Molecular age prediction using skull bone samples from individuals with and without signs of decomposition: a multivariate approach combining analysis of posttranslational protein modifications and DNA methylation.International journal of legal medicine · 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 at 18-year threshold: comparing Demirjian and Cameriere's methods for Thais.The Journal of forensic odonto-stomatology · 2024Article
- Time is encoded by methylation changes at clustered CpG sites.bioRxiv : the preprint server for biology · 2024Article
- Longitudinal changes and variation in human DNA methylation analysed with the Illumina MethylationEPIC BeadChip assay and their implications on forensic age prediction.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estimating an individual's age can be relevant in several areas primarily related to the clinical and forensic fields. In the latter, estimation of an individual's chronological age from biological material left by the perpetrator at a crime scene may provide helpful information for police investigation. Estimation of age is also beneficial in immigration cases, where age can affect the person's protection status under the law, or in disaster victim identification to narrow the list of potential missing persons. In the last decade, research has focused on establishing new approaches for age prediction in the forensic field. From the first forensic age estimations based on morphological inspections of macroscopic changes in bone and teeth, the focus has shifted to molecular methods for age estimation. These methods allow the use of samples from human biological material that does not contain morphological age features and can, in theory, be investigated in traces containing only small amounts of biological material. Molecular methods involving DNA analyses are the primary choice and estimation of DNA methylation levels at specific sites in the genome is the most promising tool. This review aims to provide an overview of the status of forensic age prediction using molecular methods, with particular focus in DNA methylation. The frequent challenges that impact forensic age prediction model development will be addressed, together with the importance of validation efforts within the forensic community.
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