ArticleForensic science international. Genetics2017
DNA methylation-based forensic age prediction using artificial neural networks and next generation sequencing.
Article in Forensic science international. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 4 of them syntheses that pooled it.
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Who cites it
74 citing papers in PubMed, 4 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
- Pooled it
- An ELOVL2-Based Epigenetic Clock for Forensic Age Prediction: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Advancement in Human Face Prediction Using DNA.Genes · 2023Pooled it
- Artificial intelligence in forensic genetics: a multi-database bibliometric and science-mapping analysis (2003-2026).Forensic science, medicine, and pathology · 2026Article
- Chronological age estimation using CpG methylation signatures in Pakistani population.International journal of legal medicine · 2026Article
- Integrating biological aging into clinical practice: a review and path forward for precision longevity medicine.GeroScience · 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
- Accuracy and challenges in age estimation in adults: a scoping review of anthropological, dental, biochemical, and molecular methods.Forensic science, medicine, and pathology · 2025Article
- Common DNA sequence variation influences epigenetic aging in African populations.Communications biology · 2025Article
- A new robust AI/ML based model for accurate forensic age estimation using DNA methylation markers.Forensic science, medicine, and pathology · 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
- Development of a microRNA-Based age estimation model using whole-blood microRNA expression profiling.Non-coding RNA research · 2025Article
- Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis.BMC genomics · 2025Article
- Insights to aging prediction with AI based epigenetic clocks.Epigenomics · 2025Review
- 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
- Multiplexing and massive parallel sequencing of targeted DNA methylation to predict chronological age.Frontiers in aging · 2025Article
- Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning algorithms.Science advances · 2024Article
- Review
14 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The ability to estimate the age of the donor from recovered biological material at a crime scene can be of substantial value in forensic investigations. Aging can be complex and is associated with various molecular modifications in cells that accumulate over a person's lifetime including epigenetic patterns. The aim of this study was to use age-specific DNA methylation patterns to generate an accurate model for the prediction of chronological age using data from whole blood. In total, 45 age-associated CpG sites were selected based on their reported age coefficients in a previous extensive study and investigated using publicly available methylation data obtained from 1156 whole blood samples (aged 2-90 years) analysed with Illumina's genome-wide methylation platforms (27K/450K). Applying stepwise regression for variable selection, 23 of these CpG sites were identified that could significantly contribute to age prediction modelling and multiple regression analysis carried out with these markers provided an accurate prediction of age (R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.