Cited by 369Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model OrganismsTelomeres, Telomerase, and Senescence

The epigenetic clock as a predictor of disease and mortality risk: a systematic review and meta-analysis

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Fransquet, Peter D., Wrigglesworth, Jo, Woods, Robyn L., Ernst, Michael E., Ryan, Joanne·2019·Clinical Epigenetics

Abstract

BACKGROUND: Ageing is one of the principal risk factors for many chronic diseases. However, there is considerable between-person variation in the rate of ageing and individual differences in their susceptibility to disease and death. Epigenetic mechanisms may play a role in human ageing, and DNA methylation age biomarkers may be good predictors of age-related diseases and mortality risk. The aims of this systematic review were to identify and synthesise the evidence for an association between peripherally measured DNA methylation age and longevity, age-related disease, and mortality risk. METHODS: A systematic search was conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Using relevant search terms, MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and PsychINFO databases were searched to identify articles meeting the inclusion criteria. Studies were assessed for bias using Joanna Briggs Institute critical appraisal checklists. Data was extracted from studies measuring age acceleration as a predictor of age-related diseases, mortality or longevity, and the findings for similar outcomes compared. Using Review Manager 5.3 software, two meta-analyses (one per epigenetic clock) were conducted on studies measuring all-cause mortality. RESULTS: Twenty-three relevant articles were identified, including a total of 41,607 participants. Four studies focused on ageing and longevity, 11 on age-related disease (cancer, cardiovascular disease, and dementia), and 11 on mortality. There was some, although inconsistent, evidence for an association between increased DNA methylation age and risk of disease. Meta-analyses indicated that each 5-year increase in DNA methylation age was associated an 8 to 15% increased risk of mortality. CONCLUSION: Due to the small number of studies and heterogeneity in study design and outcomes, the association between DNA methylation age and age-related disease and longevity is inconclusive. Increased epigenetic age was associated with mortality risk, but positive publication bias needs to be considered. Further research is needed to determine the extent to which DNA methylation age can be used as a clinical biomarker.

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  • Mortality risk has shown an overall weak and variable association with DNA methylation clocks.

    “However, mortality risk, which is widely used as a measure of ‘global’ biological age, has shown an overall weak and variable association with these clocks46,58, which raises questions as to what biology they actually measure.”

    From Measuring biological age using omics data (2022) · cites this paper as [58]

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References 86 · Cited by 369

Research works printed but not linked: 2

  1. [25]The Joanna Briggs Institute Joanna Briggs Institute Reviewers’ Manual: 2014 edition 2014 Adelaide The Joanna Briggs Institute
  2. [26]Review Manager (RevMan) [Computer Program] Version 5.3 2014 Copenhagen The Nordic Cochrane Center, The Cochrane Collaboration

Authors
Fransquet, P. D., Wrigglesworth, J., Woods, R. L., Ernst, M. E., & Ryan, J.
Affiliations
  • The University of Melbourne (AU)
  • The Alfred Hospital (AU)
  • University of Iowa (US)
  • Inserm (FR)
Corresponding author
Ryan, Joanne
Venue
Clinical Epigenetics
Published
2019-04-11
Volume
11
Issue
1
Pages
62-62
ISSN
  • 1868-7075 (ISSN-L)
  • 1868-7083
OpenAlex
W2940776377
Cited by
369
References
86
Citations by year
2026: 51 · 2025: 52 · 2024: 72 · 2023: 53 · 2022: 62 · 2021: 45 · 2020: 30 · 2019: 4
FWCI
3.13
Type
journal article
Language
en
Open access
Locations
  • Clinical Epigenetics (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Monash University Research Portal (Monash University) (submittedVersion, other-oa)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Own your potential (DEAKIN) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
National Health and Medical Research Council (APP1135727)
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
  • Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
Keywords
epigenetic clocks, DNA methylation age, biological age, accelerated aging, mortality risk, age-related diseases, longevity, cancer, cardiovascular disease, dementia, aging biomarkers
MeSH terms
Aging, Genetic Markers, Humans, Mortality, DNA Methylation, Genetic Predisposition to Disease, Epigenesis, Genetic, Genetic Association Studies

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