Abstract
Identifying and validating molecular targets of interventions that extend the human health span and lifespan has been difficult, as most clinical biomarkers are not sufficiently representative of the fundamental mechanisms of ageing to serve as their indicators. In a recent breakthrough, biomarkers of ageing based on DNA methylation data have enabled accurate age estimates for any tissue across the entire life course. These 'epigenetic clocks' link developmental and maintenance processes to biological ageing, giving rise to a unified theory of life course. Epigenetic biomarkers may help to address long-standing questions in many fields, including the central question: why do we age?
Keywords
EpigeneticsBiologyAgeingDNA methylationComputational biologyEpigenesisEvolutionary biologyLife spanBiological ageBiomarkerGeneticsBioinformaticsGeneGene expression
MeSH Terms
AgingAnimalsDNA MethylationEpigenesisGeneticHumans
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Publication Info
- Year
- 2018
- Type
- review
- Volume
- 19
- Issue
- 6
- Pages
- 371-384
- Citations
- 2904
- Access
- Closed
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Cite This
Steve Horvath,
Kenneth Raj
(2018).
DNA methylation-based biomarkers and the epigenetic clock theory of ageing.
Nature Reviews Genetics
, 19
(6)
, 371-384.
https://doi.org/10.1038/s41576-018-0004-3
Identifiers
- DOI
- 10.1038/s41576-018-0004-3
- PMID
- 29643443