Making sense of the ageing methylome
Abstract
Over time, the human DNA methylation landscape accrues substantial damage, which has been associated with a broad range of age-related diseases, including cardiovascular disease and cancer. Various age-related DNA methylation changes have been described, including at the level of individual CpGs, such as differential and variable methylation, and at the level of the whole methylome, including entropy and correlation networks. Here, we review these changes in the ageing methylome as well as the statistical tools that can be used to quantify them. We detail the evidence linking DNA methylation to ageing phenotypes and the longevity strategies aimed at altering both DNA methylation patterns and machinery to extend healthspan and lifespan. Lastly, we discuss theories on the mechanistic causes of epigenetic ageing.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Human DNA shows age-associated global hypomethylation and hypermethylation of several tumor suppressor genes.
“Human DNA displays features of age-associated global hypomethylation, but also the hypermethylation of several tumor suppressor genes.”
From Meta-hallmarks of aging and cancer (2023) · cites this paper as [42]
The citation lists haven’t been fetched yet
References 286 · Cited by 274
- Authors
- Seale, K., Horvath, S., Teschendorff, A., Eynon, N., & Voisin, S.
- Affiliations
- Victoria University (AU)
- University of California, Los Angeles (US)
- Chinese Academy of Sciences (CN)
- Venue
- Nature Reviews Genetics
- Published
- 2022-05-02
- Volume
- 23
- Issue
- 10
- Pages
- 585-605
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W4225270242
- Cited by
- 274
- References
- 286
- Citations by year
- 2026: 60 · 2025: 67 · 2024: 79 · 2023: 47 · 2022: 20
- FWCI
- 5.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Victoria University Research Repository (Victoria University) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- DNA methylation, epigenetic aging, age-related diseases, CpG methylation, differential methylation, correlation networks, healthspan, lifespan extension
- MeSH terms
- Epigenome, Aging, Humans, DNA Methylation, Epigenesis, Genetic, Epigenomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
