DNA methylation age of blood predicts all-cause mortality in later life - PubMed
- ️Thu Jan 01 2015
doi: 10.1186/s13059-015-0584-6.
Riccardo E Marioni 1 2 3 , Allan F McRae 6 7 , Brian H Chen 8 9 , Elena Colicino 10 , Sarah E Harris 11 12 , Jude Gibson 13 , Anjali K Henders 14 , Paul Redmond 15 , Simon R Cox 16 17 , Alison Pattie 18 , Janie Corley 19 , Lee Murphy 20 , Nicholas G Martin 21 , Grant W Montgomery 22 , Andrew P Feinberg 23 24 , M Daniele Fallin 25 26 , Michael L Multhaup 27 , Andrew E Jaffe 28 29 , Roby Joehanes 30 31 32 , Joel Schwartz 33 34 , Allan C Just 35 , Kathryn L Lunetta 36 37 , Joanne M Murabito 38 39 , John M Starr 40 41 , Steve Horvath 42 43 , Andrea A Baccarelli 44 45 , Daniel Levy 46 47 , Peter M Visscher 48 49 50 , Naomi R Wray 51 , Ian J Deary 52 53
Affiliations
- PMID: 25633388
- PMCID: PMC4350614
- DOI: 10.1186/s13059-015-0584-6
DNA methylation age of blood predicts all-cause mortality in later life
Riccardo E Marioni et al. Genome Biol. 2015.
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.
Figures

Plot of predicted methylation age against chronological age and plot of Hannum versus Horvath predicted methylation age. *To prevent the potential identification of individual participants, only FHS data points with chronological ages between 45 and 85, and NAS data points between ages 56 and 100 are displayed. r = Pearson correlation coefficient. FHS: Framingham Heart Study, LBC: Lothian Birth Cohort, NAS: Normative Aging Study.

Meta-analysis results of Δ age versus mortality. The basic adjusted models controlled for chronological age, sex (NAS had only male participants), and laboratory batch (FHS only). The fully adjusted models controlled for chronological age, sex, smoking, education, childhood IQ (LBC1921 and LBC1936 only), social class (LBC1921 and LBC1936 only), APOE (LBC1921, LBC1936, and NAS only), cardiovascular disease, high blood pressure, and diabetes. CI: confidence interval, FHS: Framingham Heart Study, HR: hazard ratio, LBC: Lothian Birth Cohort, NAS: Normative Aging Study, W: fixed effect weight.

Survival probability by quartiles of Δ age in LBC1921 adjusted for sex, and chronological age. LBC: Lothian Birth Cohort.

Heritability of methylation Δ age . (A) Intra-class correlation of Hannum and Horvath Δage across relationship class. (B) Heritability of Hannum and Horvath Δage in BSGS data. Both plots show estimates with standard errors. *Pseudo-independent pairs. r represents the degree of relatedness.
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