DNA methylation age of blood predicts all-cause mortality in later life

Riccardo E. Marioni(The University of Queensland), Sonia Shah(Translational Research Institute), Allan F. McRae(Translational Research Institute), Brian H. Chen(National Heart Lung and Blood Institute), Elena Colicino(Harvard University), Sarah E. Harris(Edinburgh Cancer Research), Jude Gibson(Western General Hospital), Anjali K. Henders(QIMR Berghofer Medical Research Institute), Paul Redmond(University of Edinburgh), Simon R Cox(University of Edinburgh), Alison Pattie(University of Edinburgh), Janie Corley(University of Edinburgh), Lee Murphy(Western General Hospital), Nicholas G. Martin(QIMR Berghofer Medical Research Institute), Grant W. Montgomery(QIMR Berghofer Medical Research Institute), Andrew P. Feinberg(Johns Hopkins University), M. Daniele Fallin(Johns Hopkins University), Michael Multhaup(Johns Hopkins University), Andrew E. Jaffe(Johns Hopkins University), Roby Joehanes(Harvard University), Joel Schwartz(Harvard University), Allan C. Just(Harvard University), Kathryn L. Lunetta(Boston University), Joanne M. Murabito(Boston University), John M. Starr(Alzheimer Scotland), Steve Horvath(University of California, Los Angeles), Andrea Baccarelli(Harvard University), Daniel Levy(National Heart Lung and Blood Institute), Peter M. Visscher(Translational Research Institute), Naomi R. Wray(The University of Queensland), Ian J. Deary(University of Edinburgh)
Genome Biology
January 29, 2015
Cited by 1,356Open Access
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Abstract

BACKGROUND: DNA methylation levels change with age. Recent studies have identified biomarkers of chronological age based on DNA methylation levels. It is not yet known whether DNA methylation age captures aspects of biological age. RESULTS: Here we test whether differences between people's chronological ages and estimated ages, DNA methylation age, predict all-cause mortality in later life. The difference between DNA methylation age and chronological age (Δage) was calculated in four longitudinal cohorts of older people. Meta-analysis of proportional hazards models from the four cohorts was used to determine the association between Δage and mortality. A 5-year higher Δage is associated with a 21% higher mortality risk, adjusting for age and sex. After further adjustments for childhood IQ, education, social class, hypertension, diabetes, cardiovascular disease, and APOE e4 status, there is a 16% increased mortality risk for those with a 5-year higher Δage. A pedigree-based heritability analysis of Δage was conducted in a separate cohort. The heritability of Δage was 0.43. CONCLUSIONS: DNA methylation-derived measures of accelerated aging are heritable traits that predict mortality independently of health status, lifestyle factors, and known genetic factors.


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