Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort
German Cancer Research Center · Heidelberg University · +1 more institution
Abstract
Previous studies have developed models predicting methylation age from DNA methylation in blood and other tissues (epigenetic clock) and suggested the difference between DNA methylation and chronological ages as a marker of healthy aging. The goal of this study was to confirm and expand such observations by investigating whether different concepts of the epigenetic clocks in a population-based cohort are associated with cancer, cardiovascular, and all-cause mortality.
DNA methylation age was estimated in a cohort of 1863 older people, and the difference between age predicted by DNA methylation and chronological age (Δage) was calculated. A case-cohort design and weighted proportional Cox hazard models were used to estimate associations of Δage with cancer, cardiovascular, and all-cause mortality. Hazard ratios for Δage (per 5 years) calculated using the epigenetic clock developed by Horvath were 1.23 (95 % CI 1.10-1.38) for all-cause mortality, 1.22 (95 % CI 1.03-1.45) for cancer mortality, and 1.19 (95 % CI 0.98-1.43) for cardiovascular mortality after adjustment for batch effects, age, sex, educational level, history of chronic diseases, hypertension, smoking status, body mass index, and leucocyte distribution. Associations were similar but weaker for Δage calculated using the epigenetic clock developed by Hannum.
Citation impact
- FWCI
- 29.94
- Percentile
- 100%
- References
- 22
Authors
6- LPLaura PernaCorresponding
German Cancer Research Center, Heidelberg University
- YZYan Zhang
German Cancer Research Center, Heidelberg University
- UMUte Mons
German Cancer Research Center, Heidelberg University
- BHBernd Holleczek
Krebsregister Saarland
- KSKai-Uwe Saum
German Cancer Research Center, Heidelberg University
Topics & keywords
- Epigenetics
- DNA methylation
- Cohort
- Hazard ratio
- Proportional hazards model
- Medicine
- Demography
- Cohort study
- Good health and well-being