期刊
BRIEFINGS IN BIOINFORMATICS
卷 23, 期 4, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbac274
关键词
methylation; epigenetic clock; regression; age acceleration
There has been a growing interest in researching biomarkers of aging that can predict physiological vulnerability better than chronological age. DNA methylation-based biological age is one of the most promising biomarkers. This article presents a systematic review of these biomarkers and provides a comparison of their performance across different tissues and diseases, which can guide future research.
In recent years there has been a widespread interest in researching biomarkers of aging that could predict physiological vulnerability better than chronological age. Aging, in fact, is one of the most relevant risk factors for a wide range of maladies, and molecular surrogates of this phenotype could enable better patients stratification. Among the most promising of such biomarkers is DNA methylation-based biological age. Given the potential and variety of computational implementations (epigenetic clocks), we here present a systematic review of such clocks. Furthermore, we provide a large-scale performance comparison across different tissues and diseases in terms of age prediction accuracy and age acceleration, a measure of deviance from physiology. Our analysis offers both a state-of-the-art overview of the computational techniques developed so far and a heterogeneous picture of performances, which can be helpful in orienting future research.
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