Evidence map›Paper›PMID 31796892›Full record

ArticleMolecular psychiatry2021

An epigenetic predictor of death captures multi-modal measures of brain health.

Robert F Hillary, Anna J Stevenson, Simon R Cox, Daniel L McCartney, Sarah E Harris, Anne Seeboth, Jon Higham, Duncan Sproul, Adele M Taylor, Paul Redmond and 13 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 2 pooled it
–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

96 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Epigenetic Clock Trajectories and Brain Health in Midlife.medRxiv : the preprint server for health sciences · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
  11. Translational Geroscience Strategies for Delaying Multimorbidity.ACS pharmacology & translational science · 2026
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Human Brain Cell-Type-Specific Aging Clocks Based on Single-Nuclei Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Observational
  19. Article
  20. Article

36 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

23 authors.

Robert F Hillary *Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Anna J Stevenson *Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0435-3562
Simon R CoxCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4036-3642
Daniel L McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Sarah E HarrisCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4941-5106
Anne SeebothCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Jon HighamMedical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Duncan SproulMedical Research Council Human Genetics Unit, Medical Research Council Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Adele M TaylorCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Paul RedmondCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Janie CorleyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Alison PattieCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Maria Del C Valdés HernándezCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Susana Muñoz-ManiegaCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9812-6642
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.ORCID http://orcid.org/0000-0002-4110-3589
Craig W RitchieEdinburgh Dementia Prevention, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Tara L Spires-JonesUK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, UK.
Andrew M McIntoshCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0198-4588
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK. riccardo.marioni@ed.ac.uk.

Funding

Validation and optimization of epigenetic clocksU01AG060908 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2018 to 2022
$3.4M
Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
Biotechnology and Biological Sciences Research Council BB/F019394/1Cancer Research UK 20837Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/M013111/1Medical Research Council MR/R024065/1NIA NIH HHS R01 AG054628NIA NIH HHS U01 AG060908Wellcome Trust
6 · The paper itself

Abstract

Individuals of the same chronological age exhibit disparate rates of biological ageing. Consequently, a number of methodologies have been proposed to determine biological age and primarily exploit variation at the level of DNA methylation (DNAm). A novel epigenetic clock, termed 'DNAm GrimAge' has outperformed its predecessors in predicting the risk of mortality as well as many age-related morbidities. However, the association between DNAm GrimAge and cognitive or neuroimaging phenotypes remains unknown. We explore these associations in the Lothian Birth Cohort 1936 (n = 709, mean age 73 years). Higher DNAm GrimAge was strongly associated with all-cause mortality over the eighth decade (Hazard Ratio per standard deviation increase in GrimAge: 1.81, P < 2.0 × 10

Indexed as

Birth CohortEpigenesis, GeneticAgedAgingBrainChildDNA MethylationEpigenomicsHumans

Identifiers

PMID31796892
PMCPMC8550950

What OpenQuestion holds

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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.