ArticleAging2018
Age prediction of children and adolescents aged 6-17 years: an epigenome-wide analysis of DNA methylation.
Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.
- DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies.Genome medicine · 2020Pooled it
- Interactive effects of genotype with prenatal stress on DNA methylation at birth.Molecular psychiatry · 2025Article
- A methylation panel of 10 CpGs for accurate age inference via stepwise conditional epigenome-wide association study.International journal of legal medicine · 2025Article
- Multi-omics analysis reveals novel causal pathways in psoriasis pathogenesis.Journal of translational medicine · 2025Article
- Sex-Specific Associations between Prenatal Exposure to Bisphenols and Phthalates and Infant Epigenetic Age Acceleration.Epigenomes · 2024Article
- Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease.Frontiers in aging · 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
- Phenome-wide analyses identify an association between the parent-of-origin effects dependent methylome and the rate of aging in humans.Genome biology · 2023Article
- Integrating DNA Methylation Measures of Biological Aging into Social Determinants of Health Research.Current environmental health reports · 2022Review
- Effects of stressful life-events on DNA methylation in panic disorder and major depressive disorder.Clinical epigenetics · 2022Article
- Circular RNA as a Potential Biomarker for Forensic Age Prediction.Frontiers in genetics · 2022Article
- Genome-wide associations between alcohol consumption and blood DNA methylation: evidence from twin study.Epigenomics · 2021Article
- The use of DNA methylation clock in aging research.Experimental biology and medicine (Maywood, N.J.) · 2021Review
- Measuring biological aging in humans: A quest.Aging cell · 2020Review
- Promoter methylation changes and vascular dysfunction in pre-eclamptic umbilical vein.Clinical epigenetics · 2019Article
- Review
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The DNA methylation age, a good reflection of human aging process, has been used to predict chronological age of adults and newborns. However, the prediction model for children and adolescents was absent. In this study, we aimed to generate a prediction model of chronological age for children and adolescents aged 6-17 years by using age-specific DNA methylation patterns from 180 Chinese twin individuals. We identified 6,350 age-related CpGs from the epigenome-wide association analysis (N=179). 116 known age-related sites in children were confirmed. 83 novel CpGs were selected as predictors from all age-related loci by elastic net regression and they could accurately predict the chronological age of the pediatric population, with a correlation of 0.99 and the error of 0.23 years in the training dataset (N=90). The predictive accuracy in the testing dataset (N=89) was high (correlation=0.93, error=0.62 years). Among the 83 predictors, 49 sites were novel probes not existing on the Illumina 450K BeadChip. The top two predictors of age were on the
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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.