ArticleGeroScience2025
Epigenetic age acceleration and mortality risk prediction in US adults.
Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Residential exposure to deadly gun violence and accelerated biological aging in a national sample of U.S. adolescents.SSM - population health · 2026Article
- Article
- Age-dependent prognostic value of biological age for metastasis and survival in gastrointestinal cancer.Scientific reports · 2026Article
- Article
- Biological age acceleration, longitudinal change and mortality risk in the Dutch Lifelines cohort.GeroScience · 2026Article
- Environmental exposures and epigenetic alterations in common chronic diseases: insights and challenges.Environmental epigenetics · 2026Review
- GrimAge and GrimAge2 Age Acceleration effectively predict mortality risk: a retrospective cohort study.Epigenetics · 2025Article
- From Steatosis to Immunosenescence: The Impact of Metabolic Dysfunction on Immune Aging in HIV and Non-HIV Populations.Biomedicines · 2025Review
- Telomere Length, Epigenetic Age Acceleration, and Mortality Risk in US Adult Populations: An Additive Bayesian Network Analysis.Aging cell · 2025Article
- Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025Review
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2 authors.
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Abstract
Epigenetic clocks have emerged as novel measures of biological aging and potential predictors of mortality. We examined all-cause, cardiovascular, and cancer mortality prediction by epigenetic age acceleration (EAA) estimated using different epigenetic clocks. Among 2105 participants to the 1999-2002 National Health and Nutrition Examination Survey aged ≥ 50 years old and followed for mortality through 2019, we calculated EAAs from the residuals of nine epigenetic clocks regressed on chronological age. We assessed the association of EAAs and pace of aging with mortality adjusting for covariates. During 17.5 years of median follow-up, 998 deaths occurred, including 272 from cardiovascular disease and 209 from cancer. Overall mortality was most significantly predicted by Grim EAA (P < 0.0001) followed by Hannum (P = 0.005), Pheno (P = 0.004), Horvath (P = 0.03), and Vidal-Bralo (P = 0.04) EAAs. Grim EAA predicted cardiovascular mortality (P < 0.0001), whereas Hannum (P = 0.006), Horvath (P = 0.009), and Grim (P = 0.01) EAAs predicted cancer mortality. Overall mortality prediction differed by race/ethnicity between non-Hispanic White and White participants for Horvath (P
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Registered trials
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.