ArticleInternational journal of legal medicine2018
DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups.
Article in International journal of legal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.
- 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
- A Meta-Analysis of Brain DNA Methylation Across Sex, Age, and Alzheimer's Disease Points for Accelerated Epigenetic Aging in Neurodegeneration.Frontiers in aging neuroscience · 2021Pooled it
- Lipid-driven membrane remodeling engages a lysosome-dependent adaptive repair program during retinal aging.Molecular neurodegeneration · 2026Article
- 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
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- Age-Driven Lipid Remodeling Activates Lysosome-Mediated Plasma Membrane Repair.Research square · 2026Article
- Retinal polyunsaturated fatty acid supplementation reverses aging-related vision decline in mice.Science translational medicine · 2025Article
- A new robust AI/ML based model for accurate forensic age estimation using DNA methylation markers.Forensic science, medicine, and pathology · 2025Article
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- EpiAge: a next-generation sequencing-basedAging · 2025Article
- Multiplexing and massive parallel sequencing of targeted DNA methylation to predict chronological age.Frontiers in aging · 2025Article
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- Investigating the Relationship between Epigenetic Age and Cardiovascular Risk in a Population with Overweight/Obesity.Biomedicines · 2024Article
- Polyunsaturated Fatty Acid - mediated Cellular Rejuvenation for Reversing Age-related Vision Decline.bioRxiv : the preprint server for biology · 2024Article
- 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
- Collaborative exercise: analysis of age estimation using a QIAGEN protocol and the PyroMark Q48 platform.Forensic sciences research · 2024Article
- Article
- Getting the chronological age out of DNA: using insights of age-dependent DNA methylation for forensic DNA applications.Genes & genomics · 2023Review
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 1 country.
Funding
Abstract
Improving accuracy of the available predictive DNA methods is important for their wider use in routine forensic work. Information on age in the process of identification of an unknown individual may provide important hints that can speed up the process of investigation. DNA methylation markers have been demonstrated to provide accurate age estimation in forensics, but there is growing evidence that DNA methylation can be modified by various factors including diseases. We analyzed DNA methylation profile in five markers from five different genes (ELOVL2, C1orf132, KLF14, FHL2, and TRIM59) used for forensic age prediction in three groups of individuals with diagnosed medical conditions. The obtained results showed that the selected age-related CpG sites have unchanged age prediction capacity in the group of late onset Alzheimer's disease patients. Aberrant hypermethylation and decreased prediction accuracy were found for TRIM59 and KLF14 markers in the group of early onset Alzheimer's disease suggesting accelerated aging of patients. In the Graves' disease patients, altered DNA methylation profile and modified age prediction accuracy were noted for TRIM59 and FHL2 with aberrant hypermethylation observed for the former and aberrant hypomethylation for the latter. Our work emphasizes high utility of the ELOVL2 and C1orf132 markers for prediction of chronological age in forensics by showing unchanged prediction accuracy in individuals affected by three diseases. The study also demonstrates that artificial neural networks could be a convenient alternative for the forensic predictive DNA analyses.
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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.