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

Article · Marioni RE, Harris SE, Shah S, McRae AF, von Zglinicki T, Martin-Ruiz C, Wray NR, Visscher PM, Deary IJ

- Archive id: doi:10.1093/ije/dyw041
- Published: 2016-04-13
- Venue: International journal of epidemiology
- DOI: https://doi.org/10.1093/ije/dyw041
- PMID: 27075770
- PMCID: PMC4864882
- Citations: 201
- Source URL: https://doi.org/10.1093/ije/dyw041
- PDF: https://europepmc.org/articles/PMC4864882/pdf
- Provenance: europepmc

## Abstract

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.

_Abstract reproduced under CC-BY (article license as recorded by Europe PMC; abstract reproduced unmodified apart from markup removal)._

Topics: [Biology of Aging & Longevity](https://space-kitty.com/topics/aging-longevity)

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