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

Marioni, Riccardo E., Shah, Sonia, McRae, Allan F., Chen, Brian H., Colicino, Elena, Harris, Sarah E., Gibson, Jude, Henders, Anjali K., Redmond, Paul, Cox, Simon R., Pattie, Alison, Corley, Janie, Murphy, Lee, Martin, Nicholas G., Montgomery, Grant W., Feinberg, Andrew P., Fallin, M. Daniele, Multhaup, Michael L., Jaffe, Andrew E., Joehanes, Roby, Schwartz, Joel, Just, Allan C., Lunetta, Kathryn L., Murabito, Joanne M., Starr, John M., Horvath, Steve, Baccarelli, Andrea A., Levy, Daniel, Visscher, Peter M., Wray, Naomi R. and Deary, Ian J. (2015) DNA methylation age of blood predicts all-cause mortality in later life. Genome Biology, 16 1: 25.1-25.12. doi:10.1186/s13059-015-0584-6


Author Marioni, Riccardo E.
Shah, Sonia
McRae, Allan F.
Chen, Brian H.
Colicino, Elena
Harris, Sarah E.
Gibson, Jude
Henders, Anjali K.
Redmond, Paul
Cox, Simon R.
Pattie, Alison
Corley, Janie
Murphy, Lee
Martin, Nicholas G.
Montgomery, Grant W.
Feinberg, Andrew P.
Fallin, M. Daniele
Multhaup, Michael L.
Jaffe, Andrew E.
Joehanes, Roby
Schwartz, Joel
Just, Allan C.
Lunetta, Kathryn L.
Murabito, Joanne M.
Starr, John M.
Horvath, Steve
Baccarelli, Andrea A.
Levy, Daniel
Visscher, Peter M.
Wray, Naomi R.
Deary, Ian J.
Title DNA methylation age of blood predicts all-cause mortality in later life
Journal name Genome Biology   Check publisher's open access policy
ISSN 1474-760X
Publication date 2015-01-30
Sub-type Article (original research)
DOI 10.1186/s13059-015-0584-6
Open Access Status DOI
Volume 16
Issue 1
Start page 25.1
End page 25.12
Total pages 12
Place of publication London, United Kingdom
Publisher BioMed Central
Collection year 2016
Language eng
Formatted 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.
Keyword Telomere Length
Human Longevity
T-Cells
Intelligence
Association
Dementia
Families
Disease
Traits
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2016 Collection
UQ Diamantina Institute Publications
 
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