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Author: Marioni RE¹, Harris SE², Shah S³, McRae AF³, von Zglinicki T⁴, Martin-Ruiz C⁵, Wray NR⁶, Visscher PM⁷, Deary IJ⁸
Affiliation:
¹Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK riccardo.marioni@ed.ac.uk.
²Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
³Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD, Australia.
⁴Institute for Cell & Molecular Biosciences, Newcastle University Institute for Ageing, University of Newcastle, Newcastle, UK.
⁵Institute of Neurosciences, NIHR Newcastle Biomedical Research Centre & Unit, Newcastle University Institute for Ageing, University of Newcastle, Newcastle, UK.
⁶Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia.
⁷Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK The University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD, Australia.
⁸Department of Psychology, University of Edinburgh, Edinburgh, UK.

Conference/Journal: Int J Epidemiol.
Date published: 2016 Apr 13
Other: Pages: dyw041 , Word Count: 258

BACKGROUND: Telomere length and DNA methylation have been proposed as biological clock measures that track chronological age. Whether they change in tandem, or contribute independently to the prediction of chronological age, is not known.

METHODS: We address these points using data from two Scottish cohorts: the Lothian Birth Cohorts of 1921 (LBC1921) and 1936 (LBC1936). Telomere length and epigenetic clock estimates from DNA methylation were measured in 920 LBC1936 participants (ages 70, 73 and 76 years) and in 414 LBC1921 participants (ages 79, 87 and 90 years).

RESULTS: The epigenetic clock changed over time at roughly the same rate as chronological age in both cohorts. Telomere length decreased at 48-67 base pairs per year on average. Weak, non-significant correlations were found between epigenetic clock estimates and telomere length. Telomere length explained 6.6% of the variance in age in LBC1921, the epigenetic clock explained 10.0%, and combined they explained 17.3% (allP< 1 × 10-7). Corresponding figures for the LBC1936 cohort were 14.3%, 11.7% and 19.5% (allP< 1 × 10-12). In a combined cohorts analysis, the respective estimates were 2.8%, 28.5% and 29.5%. Also in a combined cohorts analysis, a one standard deviation increase in baseline epigenetic age was linked to a 22% increased mortality risk (P= 2.6 × 10-4) whereas, in the same model, a one standard deviation increase in baseline telomere length was independently linked to an 11% decreased mortality risk (P= 0.06).

CONCLUSIONS: These results suggest that telomere length and epigenetic clock estimates are independent predictors of chronological age and mortality risk.

© The Author 2016. Published by Oxford University Press on behalf of the International Epidemiological Association.

KEYWORDS: Epigenetic clock; ageing; longitudinal; mortality; telomeres

PMID: 27075770 [PubMed - as supplied by publisher] Free full text

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The epigenetic clock and telomere length are independently associated with chronological age and mortality.