ArticleAging2020
DNA methylation-based age estimation in pediatric healthy tissues and brain tumors.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 33 citations in OpenAlex.
- Epigenetic signatures of intergenerational exposure to violence in three generations of Syrian refugees.Scientific reports · 2025Article
- Untangling the Role of MYC in Sarcomas and Its Potential as a Promising Therapeutic Target.International journal of molecular sciences · 2025Review
- Impact of age-related changes in buccal epithelial cells on pediatric epigenetic biomarker research.Nature communications · 2025Article
- Associations of depression and anxiety symptoms in childhood and adolescence with epigenetic aging.Journal of affective disorders · 2024Article
- Uncovering Forensic Evidence: A Path to Age Estimation through DNA Methylation.International journal of molecular sciences · 2024Review
- Evaluation of DNAmAge in paired fresh, frozen, and formalin-fixed paraffin-embedded heart tissues.PloS one · 2024Article
- Current status of DNA methylation profiling in neuro-oncology as a diagnostic support tool: A review.Neuro-oncology practice · 2023Review
- Clinical application of facial aging clocks.The Lancet regional health. Western Pacific · 2023Article
- CRISPR-Cas9 knockout screen identifies novel treatment targets in childhood high-grade glioma.Clinical epigenetics · 2023Article
- A new blood based epigenetic age predictor for adolescents and young adults.Scientific reports · 2023Article
- Long-term impact of paediatric critical illness on the difference between epigenetic and chronological age in relation to physical growth.Clinical epigenetics · 2023Article
- Impact ofFrontiers in genetics · 2023Article
- Review
- Association of Pediatric Buccal Epigenetic Age Acceleration With Adverse Neonatal Brain Growth and Neurodevelopmental Outcomes Among Children Born Very Preterm With a Neonatal Infection.JAMA network open · 2022Article
- Spatial heterogeneity in DNA methylation and chromosomal alterations in diffuse gliomas and meningiomas.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022Article
- Molecular targeted therapies for pediatric atypical teratoid/rhabdoid tumors.Pediatric investigation · 2022Review
- Sex-specific aging in animals: Perspective and future directions.Aging cell · 2022Review
- Pediatric Pan-Central Nervous System Tumor Methylome Analyses Reveal Immune-Related LncRNAs.Frontiers in immunology · 2022Article
- Epigenetic age acceleration and cardiovascular outcomes in school-age children: The Generation R Study.Clinical epigenetics · 2021Article
- NEOage clocks - epigenetic clocks to estimate post-menstrual and postnatal age in preterm infants.Aging · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several DNA methylation clocks have been developed to reflect chronological age of human tissues, but most clocks have been trained on adult samples. The rapid methylome changes in children and the role of epigenetics in pediatric tumors calls for tools accurately estimating methylation age in children. We aimed to evaluate seven methylation clocks in multiple tissues from healthy children to inform future studies on the optimal clock for pediatric cohorts, and analyzed the methylation age in brain tumors. We found that clocks trained on pediatric samples were the best in all tested tissues, highlighting the need for dedicated clocks. For blood samples, the Skin and blood clock had the best correlation with chronological age, while PedBE was the most accurate for saliva and buccal samples, and Horvath for brain tissue. Horvath methylation age was accelerated in pediatric brain tumors and the acceleration was subtype-specific for atypical teratoid rhabdoid tumor (ATRT), ependymoma, medulloblastoma and glioma. The subtypes with the highest acceleration corresponded to the worst prognostic categories in ATRT, ependymoma and glioma, whereas the relationship was reversed in medulloblastoma. This suggests that methylation age has potential as a prognostic biomarker in pediatric brain tumors and should be further explored.
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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.