Evidence map›Paper›PMID 35073279›Full record

ArticleAging2022

A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk.

Erin Macdonald-Dunlop, Nele Taba, Lucija Klarić, Azra Frkatović, Rosie Walker, Caroline Hayward, Tõnu Esko, Chris Haley, Krista Fischer, James F Wilson and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. [Application of biological age for cardiovascular risk prediction in a community-based Chinese cohort].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
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  15. How to measure and model cardiovascular aging.Cardiovascular research · 2025
    Review
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  19. Association of Epigenetic Markers of Aging With Prevalent and Incident Type 2 Diabetes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
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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

11 authors at 7 institutions in 4 countries.

Erin Macdonald-DunlopCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.
Nele TabaEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Lucija KlarićMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK.
Azra FrkatovićGenos Glycoscience Research Laboratory, Zagreb 10000, Croatia.
Rosie WalkerCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
Caroline HaywardMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK.
Tõnu EskoEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Chris HaleyMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK.
Krista FischerEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
James F WilsonCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.
Peter K JoshiCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK.
University of Edinburgh · GBUniversity of Tartu · EEBroad Institute · USEdinburgh Cancer Research · GBMRC Institute of Genetics and Molecular Medicine · GBScience Research Laboratory · USWestern General Hospital · GB

Funding

Arthritis Research UKChief Scientist Office CZB/4/276Chief Scientist Office CZB/4/710Chief Scientist Office CZD/16/6Medical Research Council MC_PC_U127592696Medical Research Council MC_UU_00007/10Medical Research Council MR/R026408/1Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 216767/Z/19/Z
6 · The paper itself

Abstract

Biological age (BA), a measure of functional capacity and prognostic of health outcomes that discriminates between individuals of the same chronological age (chronAge), has been estimated using a variety of biomarkers. Previous comparative studies have mainly used epigenetic models (clocks), we use ~1000 participants to compare fifteen omics ageing clocks, with correlations of 0.21-0.97 with chronAge, even with substantial sub-setting of biomarkers. These clocks track common aspects of ageing with 95% of the variance in chronAge being shared among clocks. The difference between BA and chronAge - omics clock age acceleration (OCAA) - often associates with health measures. One year's OCAA typically has the same effect on risk factors/10-year disease incidence as 0.09/0.25 years of chronAge. Epigenetic and IgG glycomics clocks appeared to track generalised ageing while others capture specific risks. We conclude BA is measurable and prognostic and that future work should prioritise health outcomes over chronAge.

Indexed as

AgingEpigenesis, GeneticBiological ClocksBiomarkersDNA MethylationEpigenomicsHumansBiomarkersageingageing clocksbiological agebiomarkers

Identifiers

PMID35073279
PMCPMC8833109
OpenAlexW4221131056

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.