Projects per year
Abstract / Description of output
The identification of biomarkers that discriminate individual ageing trajectories is a principal target of ageing research. Some of the most promising predictors of biological ageing have been developed using DNA methylation. One recent candidate, which tracks age-related phenotypes in addition to chronological age, is ‘DNAm PhenoAge’. Here, we performed a phenome-wide association analysis of this biomarker in a cohort of older adults to assess its relationship with a comprehensive set of both historical, and contemporaneously-measured, phenotypes. Higher than expected DNAm PhenoAge compared to chronological age, known as epigenetic age acceleration, was found to associate with a number of blood, cognitive, physical fitness and lifestyle variables, and with mortality. Notably, DNAm PhenoAge, assessed at age 70, was associated with cognitive ability at age 11, and with educational attainment. Adjusting for age 11 cognitive ability attenuated the majority of the cross-sectional later-life associations between DNAm PhenoAge and health outcomes. These results highlight the importance of early-life factors on healthy older ageing.
Original language | English |
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Article number | 323 |
Journal | Translational Psychiatry |
Volume | 9 |
DOIs | |
Publication status | Published - 28 Nov 2019 |
Keywords / Materials (for Non-textual outputs)
- genetics
- genomics
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Chancellors fellowship – Takanori Kitamura (G37048)
31/07/12 → …
Project: University Awarded Project Funding
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RA2665 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.
1/09/13 → 31/08/19
Project: Research
Research output
- 1 Doctoral Thesis
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A multi–omics approach to understand the role of plasma proteins in cognitive ageing and dementia
Hillary, R., 2021Research output: Thesis › Doctoral Thesis