Evidence mapPaperPMID 35501397Full record

ReviewNature reviews. Genetics2022

Making sense of the ageing methylome.

Kirsten Seale, Steve Horvath, Andrew Teschendorff, Nir Eynon, Sarah Voisin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 2 pooled it
22.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

146 citing papers in PubMed, 2 syntheses or guidelines pooled it, 263 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
    Review
  5. Epigenetic Mechanisms of Vitamin D in the Aging Process: A Narrative Review.International journal of molecular sciences · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. CD8Science China. Life sciences · 2026
    Review
  18. Review
  19. Article
  20. Article

86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 4 countries.

Kirsten SealeInstitute for Health and Sport (iHeS), Victoria University, Footscray, Melbourne, Victoria, Australia.
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-4110-3589
Andrew TeschendorffCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0001-7410-6527
Nir EynonInstitute for Health and Sport (iHeS), Victoria University, Footscray, Melbourne, Victoria, Australia. nir.eynon@vu.edu.au.ORCID http://orcid.org/0000-0003-4046-8276
Sarah VoisinInstitute for Health and Sport (iHeS), Victoria University, Footscray, Melbourne, Victoria, Australia. sarah.voisin@vu.edu.au.ORCID http://orcid.org/0000-0002-4074-7083
Victoria University · AUChinese Academy of Sciences · CNUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Epigenesis, GeneticEpigenomeAgingDNA MethylationEpigenomicsHumans

Identifiers

PMID35501397
OpenAlexW4225270242

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.