DNA methylation aging clocks: challenges and recommendations
By C. Bell, R. Lowe, P. Adams, Andrea A. Baccarelli, Stephan Beck, Jordana T. Bell, Brock C. Christensen, Vadim N. Gladyshev, B. Heijmans, Steve Horvath and 11 more. Genome Biology, 2019
841 citations recorded by the source corpus.
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 chronological age in humans and other vertebrates. Also, extensive research is aimed at their potential to quantify biological aging rates and test longevity or rejuvenating interventions. Here, we discuss key challenges to understand clock mechanisms and biomarker utility. This requires dissecting the drivers and regulators of age-related changes in single-cell, tissue- and disease-specific models, as well as exploring other epigenomic marks, longitudinal and diverse population studies, and non-human models. We also highlight important ethical issues in forensic age determination and predicting the trajectory of biological aging in an individual.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/cd94f6ce0c1bc108aa164fb261e2c0b82388b888
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In Molecular Biology
Citations in the corpus
- Measuring biological age using omics data (2022, background): “Methylation levels in blood cells have been observed to correlate strongly with cell composition, which may be a result of changes in chromatin state with age 148 .”
- MethylNet: an automated and modular deep learning approach for DNA methylation analysis (2019, background): “More advanced treatment of the data underlying prediction of age will allow opportunities for mechanistically informed intervention studies that aim to reduce age acceleration and improve public health [9].”