Evidence map›Paper›PMID 33211845›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

GrimAge Outperforms Other Epigenetic Clocks in the Prediction of Age-Related Clinical Phenotypes and All-Cause Mortality.

Cathal McCrory, Giovanni Fiorito, Belinda Hernandez, Silvia Polidoro, Aisling M O'Halloran, Ann Hever, Cliona Ni Cheallaigh, Ake T Lu, Steve Horvath, Paolo Vineis and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 285 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
285citing papers in PubMed, 1 pooled it
18.1field-weighted citation impact, top 1% 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

285 citing papers in PubMed, 1 synthesis or guideline pooled it, 452 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Exploring Epigenetic Aging and Cognitive Change in Middle Adulthood.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Extracellular vesicles and epigenetic aging clocks in tissue aging: an exosome-focused conceptual framework with a focus on skin.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
  17. Article
  18. Article
  19. Review
  20. MethylCog predicts six-year cognitive ability beyond blood-based ADRD biomarkers.medRxiv : the preprint server for health sciences · 2026
    Article

225 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

11 authors at 6 institutions in 4 countries.

Cathal McCroryDepartment of Medical Gerontology, Trinity College Dublin, Ireland.
Giovanni FioritoDepartment of Biomedical Sciences, University of Sassari, Italy.
Belinda HernandezDepartment of Medical Gerontology, Trinity College Dublin, Ireland.
Silvia PolidoroItalian Institute for Genomic Medicine, Turin, Italy.
Aisling M O'HalloranDepartment of Medical Gerontology, Trinity College Dublin, Ireland.
Ann HeverDepartment of Medical Gerontology, Trinity College Dublin, Ireland.
Cliona Ni CheallaighDepartment of Clinical Medicine, St. James Hospital, Dublin, Ireland.
Ake T LuDepartment of Human Genetics, David Geffen School of Medicine, Department of Biostatistics Fielding School of Public Health, University of California Los Angeles.
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, Department of Biostatistics Fielding School of Public Health, University of California Los Angeles.
Paolo VineisMRC Centre for Environment and Health, School of Public Medicine, Imperial College London, UK.
Rose Anne KennyDepartment of Medical Gerontology, Trinity College Dublin, Ireland.
Trinity College Dublin · IEUniversity of California, Los Angeles · USImperial College London · GBItalian institute for Genomic Medicine · ITSt. James's Hospital · IEUniversity of Sassari · IT

Funding

Validation and optimization of epigenetic clocksU01AG060908 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2018 to 2022
$3.4M
Medical Research Council MR/S019669/1NIA NIH HHS U01 AG060908
6 · The paper itself

Abstract

The aging process is characterized by the presence of high interindividual variation between individuals of the same chronical age prompting a search for biomarkers that capture this heterogeneity. Epigenetic clocks measure changes in DNA methylation levels at specific CpG sites that are highly correlated with calendar age. The discrepancy resulting from the regression of DNA methylation age on calendar age is hypothesized to represent a measure of biological aging with a positive/negative residual signifying age acceleration (AA)/deceleration, respectively. The present study examines the associations of 4 epigenetic clocks-Horvath, Hannum, PhenoAge, GrimAge-with a wide range of clinical phenotypes (walking speed, grip strength, Fried frailty, polypharmacy, Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MOCA), Sustained Attention Reaction Time, 2-choice reaction time), and with all-cause mortality at up to 10-year follow-up, in a sample of 490 participants in the Irish Longitudinal Study on Ageing (TILDA). HorvathAA and HannumAA were not predictive of health; PhenoAgeAA was associated with 4/9 outcomes (walking speed, frailty MOCA, MMSE) in minimally adjusted models, but not when adjusted for other social and lifestyle factors. GrimAgeAA by contrast was associated with 8/9 outcomes (all except grip strength) in minimally adjusted models, and remained a significant predictor of walking speed, .polypharmacy, frailty, and mortality in fully adjusted models. Results indicate that the GrimAge clock represents a step-improvement in the predictive utility of the epigenetic clocks for identifying age-related decline in an array of clinical phenotypes promising to advance precision medicine.

Indexed as

Epigenesis, GeneticMortalityAgingDNA MethylationFemaleFrailtyGenetic MarkersHand StrengthHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsPhenotypePolypharmacyWalking SpeedGenetic MarkersDNA methylationEpigeneticsHealthMortality

Identifiers

PMID33211845
PMCPMC8087266
OpenAlexW3106296722

What OpenQuestion holds

Textmetadata
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.