Molecular PsychiatryNeurosciencePeer-reviewed journal article
An epigenetic predictor of death captures multi-modal measures of brain health
Robert Francis HillaryiD, Anna J. StevensoniD, Simon R. CoxiD, Daniel L. McCartneyiD, Sarah E. HarrisiD, Anne Seeboth, Jonathan HighamiD, Duncan SprouliD, Adele M. TayloriD, Paul H. RedmondiD, Janie CorleyiD, Alison Pattie, María del C. Valdés HernándeziD, Susana Muñoz ManiegaiD, Mark E. BastiniD, Joanna Marguerite WardlawiD, Steve HorvathiD, Craig William RitchieiD, Tara L. Spires‐JonesiD, Andrew Mark McIntoshiD, Kathryn Louise EvansiD, Ian J. DearyiD, Riccardo Emilio MarioniiD
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 commonly studied epigenetic mechanism. A novel epigenetic clock, termed DNAm GrimAge has outperformed its predecessors in predicting the risk of mortality as well as a number of 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 twelve years of follow-up (Hazard Ratio per standard deviation increase in GrimAge: 1.81, P < 2.0 x 10-16). Higher DNAm GrimAge was associated with lower age 11 IQ ({beta}=-0.11), lower age 73 general cognitive ability ({beta}=-0.18), decreased brain volume ({beta}=-0.25) and increased brain white matter hyperintensities ({beta}=0.17). Sixty-eight of 137 health- and brain-related phenotypes tested were significantly associated with DNAm GrimAge. Adjusting all models for childhood cognitive ability attenuated to non-significance a small number of associations (12/68 associations; 6 of which were cognitive traits), but not the association with general cognitive ability (33.9% attenuation). Higher DNAm GrimAge cross-sectionally associates with lower cognitive ability and brain vascular lesions in older age, independently of early life cognitive ability. Thus, this epigenetic predictor of mortality is also associated with multiple different measures of brain health and may aid in the prediction of age-related cognitive decline.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: benchmarking
- approach: statistical model
- Citations
- 139
- FWCI
- 4.72
- Field percentile
- top 3%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Epigenetic age acceleration is related to cognition and cognitive decline in the Elderly: Results of the Austrian Stroke Prevention Study
Piyush G. Gampawar, Sai Pavan Kumar Veeranki, … Helena Schmidt·Psychiatry and Clinical NeurosciencesPeer-reviewed·Feb 8, 2025
- Childhood intelligence attenuates the association between biological ageing and health outcomes in later life
Anna J. Stevenson, Daniel L. McCartney, … Riccardo Emilio Marioni·Translational PsychiatryPeer-reviewed·Nov 28, 2019
- Biological age acceleration measured by DunedinPACE associates most consistently with cognitive decline in elderly individuals
Anna Marit Weißenburg, Marit Philine Junge, … Lars Bertram·medRxiv·Mar 25, 2026
- Epigenetic clocks predict prevalence and incidence of leading causes of death and disease burden
Robert Francis Hillary, Anna J. Stevenson, … Riccardo Emilio Marioni·Clinical EpigeneticsPeer-reviewed·Jul 31, 2020
- Aging the Brain: Multi-Region Methylation Principal Component Based Clock in the Context of Alzheimer's Disease
Kyra Thrush, David Alan Bennett, … Morgan E. Levine·AgingPeer-reviewed·Jul 30, 2022
- Epigenetic age acceleration predicts subject-specific white matter degeneration in the human brain.
Benjamin T. Newman, Joshua S. Danoff, … James P. Morris·Aging CellPeer-reviewed·Nov 28, 2024