ArticleNature aging2024
Probabilistic inference of epigenetic age acceleration from cellular dynamics.
Article in Nature aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Enhancing the performance and interpretability of epigenetic clocks.Nucleic acids research · 2026Article
- Non-Invasive Measures of DNA Methylation Capture Molecular Aging in Wild Capuchin Monkeys.Molecular ecology · 2026Article
- Epigenetic entropy, socioeconomic differences, and health and lifespan in the Women's Health Initiative.Clinical epigenetics · 2026Article
- A unifying model of stem cell dynamics explains age-related methylation patterns across mammals.Nature aging · 2026Article
- Longitudinal changes in epigenetic clocks predict survival in the InCHIANTI cohort.Nature aging · 2026Article
- Statistical Methods in Aging Research: Improving Current Practices and Embracing Emerging Approaches.Annual review of statistics and its application · 2026Article
- EWAS Open Platform 2026: a deeply integrated resource for epigenome-wide association studies.Nucleic acids research · 2026Article
- Methods for analysing wildlife DNA methylation data.Conservation physiology · 2026Article
- Article
- Variations in Innate Immune Cell Subtypes Correlate with Epigenetic Clocks, Inflammaging and Health Outcomes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Poor-prognosis young-onset colorectal cancer is defined by the mesenchymal subtype and can be predicted by integrating molecular and histopathological characteristics.ESMO gastrointestinal oncology · 2025Article
- Refining the generation, interpretation and application of multi-organ, multi-omics biological aging clocks.Nature aging · 2025Article
- A Novel Framework for the Design of Minimized Epigenetic Clocks Using the Analysis of DNA Methylation Heterogeneity.International journal of molecular sciences · 2025Article
- Epigenetic ageing clocks: statistical methods and emerging computational challenges.Nature reviews. Genetics · 2025Review
- Cross-tissue comparison of epigenetic aging clocks in humans.Aging cell · 2025Article
- Deep learning to quantify the pace of brain aging in relation to neurocognitive changes.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- What makes biological age epigenetic clocks tick.Nature aging · 2025Article
- PRC2-AgeIndex as a universal biomarker of aging and rejuvenation.Nature communications · 2024Article
- Aging clocks based on accumulating stochastic variation.Nature aging · 2024Article
- Insights into ageing rates comparison across tissues from recalibrating cerebellum DNA methylation clock.GeroScience · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
The emergence of epigenetic predictors was a pivotal moment in geroscience, propelling the measurement and concept of biological aging into a quantitative era; however, while current epigenetic clocks show strong predictive power, they are data-driven in nature and are not based on the underlying biological mechanisms driving methylation dynamics. We show that predictions of these clocks are susceptible to several confounding non-age-related phenomena that make interpretation of these estimates and associations difficult. To address these limitations, we developed a probabilistic model describing methylation transitions at the cellular level. Our approach reveals two measurable components, acceleration and bias, which directly reflect perturbations of the underlying cellular dynamics. Acceleration is the proportional increase in the speed of methylation transitions across CpG sites, whereas bias corresponds to global changes in methylation levels. Using data from 15,900 participants from the Generation Scotland study, we develop a robust inference framework and show that these are two distinct processes confounding current epigenetic predictors. Our results show improved associations of acceleration and bias with physiological traits known to impact healthy aging, such as smoking and alcohol consumption, respectively. Furthermore, a genome-wide association study of epigenetic age acceleration identified seven genomic loci.
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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.