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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, Jonathan Higham, Duncan Sproul, Adele M. Taylor, Paul Redmond, Janie Corley, Alison Pattie, María del C. Valdés Hernández, Susana Muñoz Maniega, Mark E. Bastin

Molecular Psychiatry · 2019 · ▲ 146 citations

Abstract

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(definition), 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 −16 ). Higher DNAm GrimAge was associated with lower age 11 IQ ( β = −0.11), lower age 73 general cognitive ability ( β = −0.18), decreased brain volume ( β = −0.25) and increased brain white matter hyperintensities ( β = 0.17). There was tentative evidence for a longitudinal association between DNAm GrimAge and cognitive decline from age 70 to 79. Sixty-nine of 137 health- and brain-related phenotypes tested were significantly associated with GrimAge. Adjusting all models for childhood intelligence attenuated to non-significance a small number of associations (12/69 associations; 6 of which were cognitive traits), but not the association with general cognitive ability (33.9% attenuation). Higher DNAm GrimAge associates with lower cognitive ability and brain vascular lesions in older age, independently of early-life cognitive ability. This epigenetic predictor of mortality associates with different measures of brain health and may aid in the prediction of age-related cognitive decline.

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Provenance

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OpenAlex
DOI
10.1038/s41380-019-0616-9
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2026-07-15 MST

Cite this

APA
Hillary, R.F., Stevenson, A.J., Cox, S.R., McCartney, D.L., Harris, S.E., Seeboth, A., Higham, J., Sproul, D., Taylor, A.M., Redmond, P., Corley, J., Pattie, A., Hernández, M.D.C.V., Maniega, S.M., Bastin, M.E., Wardlaw, J.M., Horvath, S., Ritchie, C., Spires‐Jones, T.L., &amp; McIntosh, A.M. (2019). An epigenetic predictor of death captures multi-modal measures of brain health. <em>Molecular Psychiatry</em>. https://doi.org/10.1038/s41380-019-0616-9
Vancouver
Hillary RF, Stevenson AJ, Cox SR, McCartney DL, Harris SE, Seeboth A, et al. An epigenetic predictor of death captures multi-modal measures of brain health. Molecular Psychiatry. 2019. doi:10.1038/s41380-019-0616-9.
BibTeX
@article{robert2019Anepig, title = {An epigenetic predictor of death captures multi-modal measures of brain health}, author = {Robert F. Hillary and Anna J. Stevenson and Simon R. Cox and Daniel L. McCartney and Sarah E. Harris and Anne Seeboth and Jonathan Higham and Duncan Sproul and Adele M. Taylor and Paul Redmond and Janie Corley and Alison Pattie and María del C. Valdés Hernández and Susana Muñoz Maniega and Mark E. Bastin and Joanna M. Wardlaw and Steve Horvath and Craig Ritchie and Tara L. Spires‐Jones and Andrew M. McIntosh and Kathryn L. Evans and Ian J. Deary and Riccardo E. Marioni}, journal = {Molecular Psychiatry}, year = {2019}, doi = {10.1038/s41380-019-0616-9}, }

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