ArticleAging2015
Stochastic epigenetic mutations (DNA methylation) increase exponentially in human aging and correlate with X chromosome inactivation skewing in females.
Article in Aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.
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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
59 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- DNA methylation-based biomarkers of aging were slowed down in a two-year diet and physical activity intervention trial: the DAMA study.Aging cell · 2021Trial
- Fluorescent Analysis of KBiomolecules · 2026Article
- Y-CpG-based semen age prediction: analysis of vasectomized samples and development of an optimized multiplex assay evaluated in independent and mixed samples.International journal of legal medicine · 2026Article
- Epigenetic entropy, socioeconomic differences, and health and lifespan in the Women's Health Initiative.Clinical epigenetics · 2026Article
- Epimutations in migraine and in medication overuse headache: a longitudinal study after acute medication withdrawal.The journal of headache and pain · 2026Article
- Blood-based epigenetic instability linked to human aging and disease.Nature communications · 2026Article
- Epimutation analysis reveals involvement of SLIT2/ROBO signaling pathway in painful diabetic neuropathy.Human genomics · 2026Article
- Epigenetic Signatures in an Italian Cohort of Parkinson's Disease Patients from Sicily.Brain sciences · 2025Article
- Whole-genome profiling of age- and sex-associated DNA methylation signatures in human plasma cell-free DNA.Communications medicine · 2025Article
- Stochastic epigenetic mutation profiles as biomarkers of clinical activity in juvenile idiopathic arthritis: a multi-omic machine learning approach for gene prioritization.Molecular medicine (Cambridge, Mass.) · 2025Article
- Epigenetic clocks and DNA methylation biomarkers of brain health and disease.Nature reviews. Neurology · 2025Review
- Improved epigenetic age prediction models by combining sex chromosome and autosomal markers.Epigenetics & chromatin · 2025Article
- A State of the Science Review of Human Health Effects of the Michigan Polybrominated Biphenyl Contamination after Five Decades.Environmental health perspectives · 2025Review
- Epigenetic ageing clocks: statistical methods and emerging computational challenges.Nature reviews. Genetics · 2025Review
- Multi-omic analysis of biological aging biomarkers in long-term calorie restriction and endurance exercise practitioners: A cross-sectional study.Aging cell · 2025Article
- Article
- Article
- Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024Review
- Reliable detection of stochastic epigenetic mutations and associations with cardiovascular aging.GeroScience · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study we applied a new analytical strategy to investigate the relations between stochastic epigenetic mutations (SEMs) and aging. We analysed methylation levels through the Infinium HumanMethylation27 and HumanMethylation450 BeadChips in a population of 178 subjects ranging from 3 to 106 years. For each CpG probe, epimutated subjects were identified as the extreme outliers with methylation level exceeding three times interquartile ranges the first quartile (Q1-(3 x IQR)) or the third quartile (Q3+(3 x IQR)). We demonstrated that the number of SEMs was low in childhood and increased exponentially during aging. Using the HUMARA method, skewing of X chromosome inactivation (XCI) was evaluated in heterozygotes women. Multivariate analysis indicated a significant correlation between log(SEMs) and degree of XCI skewing after adjustment for age (β = 0.41; confidence interval: 0.14, 0.68; p-value = 0.0053). The PATH analysis tested the complete model containing the variables: skewing of XCI, age, log(SEMs) and overall CpG methylation. After adjusting for the number of epimutations we failed to confirm the well reported correlation between skewing of XCI and aging. This evidence might suggest that the known correlation between XCI skewing and aging could not be a direct association but mediated by the number of SEMs.
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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.