Evidence map›Paper›PMID 34425884›Full record

ArticleClinical epigenetics2021

Epigenetic age is associated with baseline and 3-year change in frailty in the Canadian Longitudinal Study on Aging.

Chris P Verschoor, David T S Lin, Michael S Kobor, Oxana Mian, Jinhui Ma, Guillaume Pare, Gustavo Ybazeta

Abstract readComparative Study
In one paragraph

Article in Clinical epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

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  7. Associations of summary measures of longitudinal frailty assessments with health outcomes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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  18. Temporal Dynamics of Epigenetic Aging and Frailty From Midlife to Old Age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

7 authors.

Chris P VerschoorHealth Sciences North Research Institute, 41 Ramsey Lake Road, Sudbury, ON, P3E 5J1, Canada. cverschoor@hsnri.ca.ORCID 0000-0001-6190-2655
David T S LinBC Children's Hospital Research Institute, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Michael S KoborBC Children's Hospital Research Institute, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Oxana MianHealth Sciences North Research Institute, 41 Ramsey Lake Road, Sudbury, ON, P3E 5J1, Canada.
Jinhui MaDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Guillaume PareDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Gustavo YbazetaHealth Sciences North Research Institute, 41 Ramsey Lake Road, Sudbury, ON, P3E 5J1, Canada.

Funding

CIHR ACD-170293
6 · The paper itself

Abstract

backgroundThe trajectory of frailty in older adults is important to public health; therefore, markers that may help predict this and other important outcomes could be beneficial. Epigenetic clocks have been developed and are associated with various health-related outcomes and sociodemographic factors, but associations with frailty are poorly described. Further, it is uncertain whether newer generations of epigenetic clocks, trained on variables other than chronological age, would be more strongly associated with frailty than earlier developed clocks. Using data from the Canadian Longitudinal Study on Aging (CLSA), we tested the hypothesis that clocks trained on phenotypic markers of health or mortality (i.e., Dunedin PoAm, GrimAge, PhenoAge and Zhang in Nat Commun 8:14617, 2017) would best predict changes in a 76-item frailty index (FI) over a 3-year interval, as compared to clocks trained on chronological age (i.e., Hannum in Mol Cell 49:359-367, 2013, Horvath in Genome Biol 14:R115, 2013, Lin in Aging 8:394-401, 2016, and Yang Genome Biol 17:205, 2016).

resultsWe show that in 1446 participants, phenotype/mortality-trained clocks outperformed age-trained clocks with regard to the association with baseline frailty (mean = 0.141, SD = 0.075), the greatest of which is GrimAge, where a 1-SD increase in ΔGrimAge (i.e., the difference from chronological age) was associated with a 0.020 increase in frailty (95% CI 0.016, 0.024), or ~ 27% relative to the SD in frailty. Only GrimAge and Hannum (Mol Cell 49:359-367, 2013) were significantly associated with change in frailty over time, where a 1-SD increase in ΔGrimAge and ΔHannum 2013 was associated with a 0.0030 (95% CI 0.0007, 0.0050) and 0.0028 (95% CI 0.0007, 0.0050) increase over 3 years, respectively, or ~ 7% relative to the SD in frailty change.

conclusionBoth prevalence and change in frailty are associated with increased epigenetic age. However, not all clocks are equally sensitive to these outcomes and depend on their underlying relationship with chronological age, healthspan and lifespan. Certain clocks were significantly associated with relatively short-term changes in frailty, thereby supporting their utility in initiatives and interventions to promote healthy aging.

Indexed as

Cause of DeathEpigenesis, GeneticAgedAged, 80 and overAge FactorsAgingCanadaDNA MethylationFemaleFrailtyGenetic VariationHumansLongitudinal StudiesMaleMiddle AgedSociodemographic FactorsCLSADNA methylationEpigenetic clockFrailty

Identifiers

PMID34425884
PMCPMC8381580

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Registered trials

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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 OpenQuestion graph.