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 …

Epigenetic clocks, developed using DNA methylation data, have been widely used to
quantify biological aging in multiple tissues/cells. However, many existing epigenetic clocks …

Regression models are often used to predict age of an individual based on methylation
patterns. Artificial neural network (ANN) however was recently shown to be more accurate …

The Geoscience paradigm suggests that targeting the aging process could delay or prevent
the risk of multiple major age-related diseases, such as cancer, cardiovascular disease …

Epigenetic clocks have come to be regarded as powerful tools for estimating aging.
However, a major drawback in their application is our lack of mechanistic understanding. We …

Background Human aging is associated with profound changes in one of the major
epigenetic mechanisms, DNA methylation. Some of these changes occur in a clock-like …

DNA methylation-based biomarkers of aging are highly correlated with actual age.
Departures of methylation-estimated age from actual age can be used to define epigenetic …

The number of age predictors based on DNA methylation (DNAm) profile is rising due to
their potential in predicting healthspan and application in age-related illnesses, such as …

Background The well-established association of chronological age with changes in DNA
methylation is primarily founded on the analysis of large sets of blood samples, while …

DNA methylation profiles have been used to develop biomarkers of aging known as
epigenetic clocks, which predict chronological age with remarkable accuracy and show …