DNA methylation dynamics have emerged as a promising biomarker of mammalian aging,
with multivariate machine learning models ('epigenetic clocks') enabling measurement of …

Aging is often perceived as a degenerative process resulting from random accrual of cellular
damage over time. Despite this, age can be accurately estimated by epigenetic clocks based …

Aging, often considered a result of random cellular damage, can be accurately estimated
using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we …

The ability to measure human aging from molecular profiles has practical implications in
many fields, including disease prevention and treatment, forensics, and extension of life …

Epigenetic alterations are a hallmark of aging and age‐related diseases. Computational
models using DNA methylation data can create “epigenetic clocks” which are proposed to …

Epigenetic changes during ageing have been characterized by multiple epigenetic clocks
that allow the prediction of chronological age based on methylation status. Despite their …

All mammals progress through similar physiological stages throughout life, from early
development to puberty, aging, and death. Yet, the extent to which this conserved …

Background Global but predictable changes impact the DNA methylome as we age, acting
as a type of molecular clock. This clock can be hastened by conditions that decrease …

Motivation Ageing is a biological and psychosocial process related to diseases and
mortality. It correlates with changes in DNA methylation (DNAm) in all human tissues …

Background DNA methylation changes at a discrete set of sites in the human genome are
predictive of chronological and biological age. However, it is not known whether these …