Causality-enriched epigenetic age uncouples damage and adaptation

K Ying, H Liu, AE Tarkhov, MC Sadler, AT Lu, M Moqri… - Nature aging, 2024 - nature.com
Abstract Machine learning models based on DNA methylation data can predict biological
age but often lack causal insights. By harnessing large-scale genetic data through …

[PDF][PDF] Causal epigenetic age uncouples damage and adaptation

K Ying, H Liu, AE Tarkhov, AT Lu, S Horvath, Z Kutalik… - bioRxiv, 2022 - scholar.archive.org
Machine learning models based on DNA methylation can be used to predict the age of
biological 17 samples, but their interpretability is limited due to the lack of causal inferences …

Nature of epigenetic aging from a single-cell perspective

AE Tarkhov, T Lindstrom-Vautrin, S Zhang, K Ying… - Nature Aging, 2024 - nature.com
Age-related changes in DNA methylation (DNAm) form the basis of the most robust
predictors of age—epigenetic clocks—but a clear mechanistic understanding of exactly …

Making sense of the ageing methylome

K Seale, S Horvath, A Teschendorff, N Eynon… - Nature Reviews …, 2022 - nature.com
Over time, the human DNA methylation landscape accrues substantial damage, which has
been associated with a broad range of age-related diseases, including cardiovascular …

[HTML][HTML] DNA methylation aging clocks: challenges and recommendations

CG Bell, R Lowe, PD Adams, AA Baccarelli, S Beck… - Genome biology, 2019 - Springer
Epigenetic clocks comprise a set of CpG sites whose DNA methylation levels measure
subject age. These clocks are acknowledged as a highly accurate molecular correlate of …

[HTML][HTML] Epigenetic drift underlies epigenetic clock signals, but displays distinct responses to lifespan interventions, development, and cellular dedifferentiation

EM Bertucci-Richter, EP Shealy, BB Parrott - Aging (Albany NY), 2024 - ncbi.nlm.nih.gov
Abstract Changes in DNA methylation with age are observed across the tree of life. The
stereotypical nature of these changes can be modeled to produce epigenetic clocks capable …

Aging through an epitranscriptomic lens

M McMahon, C Forester, R Buffenstein - Nature Aging, 2021 - nature.com
The mechanistic causes of aging, the time-related decline in function and good health that
leads to increased mortality, remain poorly understood. Here we propose that age …

[HTML][HTML] Targeted methods for epigenetic age predictions in mice

Y Han, M Nikolić, M Gobs, J Franzen, G de Haan… - Scientific reports, 2020 - nature.com
Age-associated DNA methylation reflects aspect of biological aging—therefore epigenetic
clocks for mice can elucidate how the aging process in this model organism is affected by …

A computational solution for bolstering reliability of epigenetic clocks: Implications for clinical trials and longitudinal tracking

AT Higgins-Chen, KL Thrush, Y Wang, CJ Minteer… - Nature aging, 2022 - nature.com
Epigenetic clocks are widely used aging biomarkers calculated from DNA methylation data,
but this data can be surprisingly unreliable. Here we show that technical noise produces …

[HTML][HTML] Biologically informed deep learning for explainable epigenetic clocks

A Prosz, O Pipek, J Börcsök, G Palla, Z Szallasi… - Scientific Reports, 2024 - nature.com
Ageing is often characterised by progressive accumulation of damage, and it is one of the
most important risk factors for chronic disease development. Epigenetic mechanisms …