ArticleEpigenetics2025
GrimAge and GrimAge2 Age Acceleration effectively predict mortality risk: a retrospective cohort study.
Article in Epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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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.
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Who cites it
7 citing papers in PubMed.
- Multimodal Ageing Biomarkers and Plasma Proteomic Signatures Associated With All-Cause Mortality.Aging cell · 2026Article
- Mortality associated biological age improves independently of weight loss after bariatric surgery.npj aging · 2026Article
- Immunosenescence and cancer predisposition in pediatric transplant recipients: An emerging paradigm.World journal of transplantation · 2026Review
- The aging paradox of Cushing's syndrome: Stress without clear senescence?Journal of neuroendocrinology · 2026Review
- Oral microbiome signatures predict biological age and host health.Nature communications · 2026Article
- Epigenetic aging is a hallmark of HIV pathogenesis and phenotypic outcomes.Current HIV/AIDS reports · 2026Review
- Phenotypic Age Acceleration as a Mediator in Thyroid Hormone-Related Cardiovascular Risk Among the Elderly.Cardiology research and practice · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetic clocks have been widely applied to assess biological ageing, with Age Acceleration (AA) serving as a key metric linked to adverse health outcomes, including mortality. However, the comparative predictive value of AAs derived from different epigenetic clocks for mortality risk has not been systematically evaluated. In this retrospective cohort study based on 1,942 NHANES participants (median age 65 years; 944 women), we examined the associations between AAs from multiple epigenetic clocks and the risks of all-cause, cancer-specific, and cardiac mortality. Restricted cubic spline models were used to assess the shape of these associations, and Cox proportional hazards regression was employed to quantify risk estimates. Model performance was compared using the Akaike Information Criterion (AIC) and concordance index (C-index). Our findings revealed that only GrimAge AA and GrimAge2 AA demonstrated approximately linear and positive associations with all three mortality outcomes. Both were significantly associated with increased risks of death, and these associations were consistent across most subgroups. GrimAge and GrimAge2 AAs showed very similar performance in predicting all-cause, cancer and cardiac mortality, with only small differences in AIC values and C-index scores. These findings suggest that both GrimAge and GrimAge2 are effective epigenetic biomarkers for mortality risk prediction and may be valuable tools in future ageing-related research.
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Registered trials
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