ArticleAging2019
DNA methylation profile is a quantitative measure of biological aging in children.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
49 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.
- Chemical and climatic environmental exposures and epigenetic aging: A systematic review.Environmental research · 2025Pooled it
- Development of a precise saliva-based epigenetic clock using a six-CpG-marker panel.International journal of legal medicine · 2026Article
- Epigenetic age acceleration in adolescence: cross-sectional associations with dietary intake and prospective associations with cardiometabolic risk indicators in a Mexico City cohort.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2026Article
- The joint effects of exposure to prenatal pesticides and psychosocial factors on epigenetic age acceleration in the first 5 years of life in a South African birth cohort.medRxiv : the preprint server for health sciences · 2026Article
- Longitudinal changes in epigenetic age acceleration prior to type 1 diabetes onset in the Diabetes Autoimmunity Study in the Young (DAISY).BMJ open diabetes research & care · 2026Article
- Nasopharyngeal Microbiome-Epigenome-Wide Association Analysis in Infants With Severe Bronchiolitis.Allergy · 2026Article
- BRIDGING THE GAP: ENHANCING THE GENERALIZABILITY OF EPIGENETIC CLOCKS THROUGH TRANSFER LEARNING.The annals of applied statistics · 2026Article
- EpigeneticAgePipeline: An R Package for Comprehensive Assessment of Epigenetic Age Metrics From Methylation Microarrays.Bioinformatics and biology insights · 2026Article
- Analysis of blood-based DNA methylation signatures of aging and disease progression in inflammatory bowel disease.Human genetics · 2025Article
- Child and adolescent internalizing and externalizing traits, and epigenetic summary scores: A scoping review.Biological psychology · 2025Article
- Adolescent dietary patterns and methyl-donor nutrient intakes in relation to blood leukocyte DNA methylation of circadian genes.Chronobiology international · 2025Article
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- Uncertainty Quantification in Epigenetic Clocks via Conformalized Quantile Regression.Genetic epidemiology · 2025Article
- Glucocorticoid exposure-induced alterations in epigenetic age from human preterm infants and human lung fibroblasts and hippocampal neuronal cells.Clinical epigenetics · 2025Article
- Uncertainty quantification in epigenetic clocks via conformalized quantile regression.medRxiv : the preprint server for health sciences · 2025Article
- Roles, Functions, and Pathological Implications of Exosomes in the Central Nervous System.International journal of molecular sciences · 2025Review
- DNA methylation-based age prediction and sex-specific epigenetic aging in a lizard with female-biased longevity.Science advances · 2025Article
- Epigenomic Landscape of Human Cumulus Cells in Premature Ovarian Insufficiency Using Single-Base Resolution Methylome and Hydroxymethylome.Journal of cellular and molecular medicine · 2024Article
- Associations of epigenetic age acceleration at birth and age 12 years with adolescent cardiometabolic risk: the HOME study.Clinical epigenetics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation changes within the genome can be used to predict human age. However, the existing biological age prediction models based on DNA methylation are predominantly adult-oriented. We established a methylation-based age prediction model for children (9-212 months old) using data from 716 blood samples in 11 DNA methylation datasets. Our elastic net model includes 111 CpG sites, mostly in genes associated with development and aging. The model performed well and exhibited high precision, yielding a 98% correlation between the DNA methylation age and the chronological age, with an error of only 6.7 months. When we used the model to assess age acceleration in children based on their methylation data, we observed the following: first, the aging rate appears to be fastest in mid-childhood, and this acceleration is more pronounced in autistic children; second, lead exposure early in life increases the aging rate in boys, but not in girls; third, short-term recombinant human growth hormone treatment has little effect on the aging rate of children. Our child-specific methylation-based age prediction model can effectively detect epigenetic changes and health imbalances early in life. This may thus be a useful model for future studies of epigenetic interventions for age-related diseases.
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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.