Evidence map›Paper›PMID 42817953›Full record

ArticlebioRxiv : the preprint server for biology2026

DNA methylation variability provides a complementary epigenetic signature of aging heterogeneity: Findings from the Canadian Longitudinal Study on Aging and the Baltimore Longitudinal Study of Aging.

Olga Vishnyakova, Joosung Min, Ann Z Moore, Toshiko Tanaka, Luigi Ferrucci, Xiaowei Song, Kenneth Rockwood, Angela Brooks-Wilson, Lloyd T Elliott

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Olga VishnyakovaDepartment of Basic and Translational Research, BC Cancer, Vancouver, BC, Canada.ORCID 0000-0002-7707-4740
Joosung MinDepartment of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, Canada.ORCID 0000-0002-5541-5014
Ann Z MooreLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Toshiko TanakaLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
Xiaowei SongDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
Kenneth RockwoodDivision of Geriatric Medicine, Dalhousie University, Halifax, NS, Canada, and Frailty & Elder Care Network, Nova Scotia Health, Halifax, NS, Canada.ORCID 0000-0002-6674-995X
Angela Brooks-WilsonDepartment of Basic and Translational Research, BC Cancer, Vancouver, BC, Canada.ORCID 0000-0003-1009-6408
Lloyd T ElliottDepartment of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, Canada.ORCID 0000-0003-2187-7314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman aging does not follow a single trajectory. Epigenetic changes offer insight into the heterogeneity in aging by reflecting the combined influence of genetic, environmental, and lifestyle factors on the timing and progression of age-related changes beyond what chronological age alone can explain. Recent studies in cancer and aging underscore the importance of methylation variability as a marker of biological dysregulation.

methodsWe investigated the role of DNA methylation in aging heterogeneity by performing epigenome-wide differential methylation and variance association analyses in blood samples from 1,445 Canadians aged 45 to 85 from the Canadian Longitudinal Study on Aging.

resultsWe identified 448 differentially methylated regions and 488 differentially variable regions associated with health decline as measured by the health deficit accumulation Frailty Index, cognitive function, and physical function. These two classes of regions showed minimal overlap, with distinct gene coverage, suggesting that variability contributes a complementary signal to aging heterogeneity. Genes overlapped by differentially methylated regions were enriched for immune and inflammation-related pathways, whereas differentially variable regions highlighted additional localized, CpG island-enriched signals shared across health domains, consistent with regionally structured rather than diffuse dysregulation. By integrating significant CpGs from both analyses, we constructed an epigenetic biomarker. The biomarker was associated with all-cause mortality and showed higher discrimination than biomarkers constructed from differential methylation or variability alone, with a similar pattern reproduced in the Baltimore Longitudinal Study of Aging.

conclusionsThese findings suggest that DNA methylation variability may provide a complementary dimension of epigenetic aging and support further evaluation in larger cohorts with more mortality events.

Indexed as

aging biomarkerBLSACLSAepigeneticshealthy aging

Identifiers

PMID42817953
PMCPMC13622014

What Socratic holds

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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 Socratic graph.