EnsembleAge Clock: A Reliable, Robust and Convenient Epigenetic Age Prediction Service for Promoting Healthy Aging
Hayan Lee, Akshay Anand, Yash Agarwal, Tanisha Gupta, Jason Lin, Mirna Ghemrawi, Glenn Gerhard

TL;DR
EnsembleAge Clock is a web service that predicts biological age using DNA methylation data, offering a more accurate and reliable way to track aging and promote healthy lifestyles.
Contribution
The paper introduces EnsembleAge Clock, a robust epigenetic age prediction method that combines multiple DNA methylation clocks to reduce variance and improve accuracy.
Findings
The EnsembleNaive model achieved a median absolute error of 4.04 years in whole blood.
The EnsembleLR model had a median absolute error of 6.35 years across multiple tissues.
The models were validated using DNA methylation data from nine organs in the GTEx dataset.
Abstract
Age is a major risk factor for various diseases, such as cancer, cardiovascular conditions, and neurodegenerative diseases. However, chronological age, the simple number of years one has lived and an unmodifiable risk factor, does not capture individual health differences, prompting the development of methods to accurately estimate biological age, modifiable by healthy habits, instead of relying on chronological age. One of the major molecular approaches exploits DNA methylation (DNAm), an essential epigenetic modifier for regulating gene expression, cell differentiation, and aging. DNAm-based aging clocks have been developed to predict biological age, but the prediction is highly dependent on training data, including assay technologies. To address these clocks’ high variance, we present EnsembleAge Clocks, leveraging previously developed DNAm clocks, harnessing the strengths of each…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsEpigenetics and DNA Methylation · Machine Learning in Healthcare · Health, Environment, Cognitive Aging
