Chen, B.H.* ; Marioni, R.E.* ; Colicino, E.* ; Peters, M.J.* ; Ward-Caviness, C.K. ; Tsai, P.C.* ; Roetker, N.S.* ; Just, A.C.* ; Demerath, E.W.* ; Guan, W.* ; Bressler, J.* ; Fornage, M.* ; Studenski, S.* ; Vandiver, A.R.* ; Moore, A.Z.* ; Tanaka, T.* ; Kiel, D.P.* ; Liang, L.* ; Vokonas, P.* ; Schwartz, J.* ; Lunetta, K.L.* ; Murabito, J.M.* ; Bandinelli, S.* ; Hernandez, D.G.* ; Melzer, D.* ; Nalls, M.* ; Pilling, L.C.* ; Price, T.R.* ; Singleton, A.B.* ; Gieger, C. ; Holle, R. ; Kretschmer, A. ; Kronenberg, F.* ; Kunze, S. ; Linseisen, J. ; Meisinger, C. ; Rathmann, W.G.* ; Waldenberger, M. ; Visscher, P.M.* ; Shah, S.* ; Wray, N.R.* ; McRae, A.F.* ; Franco, O.H.* ; Hofman, A.* ; Uitterlinden, A.G.* ; Absher, D.* ; Assimes, T.L.* ; Levine, M.E.* ; Lu, A.T.* ; Tsao, P.S.* ; Hou, L.* ; Manson, J.E.* ; Carty, C.L.* ; LaCroix, A.Z.* ; Reiner, A.P.* ; Spector, T.D.* ; Feinberg, A.P.* ; Levy, D.* ; Baccarelli, A.* ; van Meurs, J.B.* ; Bell, J.T.* ; Peters, A. ; Deary, I.J.* ; Pankow, J.S.* ; Ferrucci, L.* ; Horvath, S.*
DNA methylation-based measures of biological age: Meta-analysis predicting time to death.
Aging 8, 1844-1865 (2016)
Estimates of biological age based on DNA methylation patterns, often referred to as "epigenetic age", "DNAm age", have been shown to be robust biomarkers of age in humans. We previously demonstrated that independent of chronological age, epigenetic age assessed in blood predicted all-cause mortality in four human cohorts. Here, we expanded our original observation to 13 different cohorts for a total sample size of 13,089 individuals, including three racial/ethnic groups. In addition, we examined whether incorporating information on blood cell composition into the epigenetic age metrics improves their predictive power for mortality. All considered measures of epigenetic age acceleration were predictive of mortality (p≤8.2x10(-9)), independent of chronological age, even after adjusting for additional risk factors (p<5.4x10(-4)), and within the racial/ethnic groups that we examined (non-Hispanic whites, Hispanics, African Americans). Epigenetic age estimates that incorporated information on blood cell composition led to the smallest p-values for time to death (p=7.5x10(-43)). Overall, this study a) strengthens the evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors, and b) demonstrates that epigenetic age estimates that incorporate information on blood cell counts lead to highly significant associations with all-cause mortality.
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Publication type
Article: Journal article
Document type
Scientific Article
Thesis type
Editors
Keywords
Dna Methylation ; All-cause Mortality ; Epigenetic Clock ; Epigenetics ; Lifespan ; Mortality; All-cause Mortality; Epigenetic Clock; Disease; Blood; Cohort; Epidemiology; Cancer; Brain; Life
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Language
english
Publication Year
2016
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2016
ISSN (print) / ISBN
1945-4589
e-ISSN
1945-4589
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Volume: 8,
Issue: 9,
Pages: 1844-1865
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Impact Journals LLC
Publishing Place
Albany
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0000-00-00
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0000-00-00
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0000-00-00
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Peer reviewed
POF-Topic(s)
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-504000-005
G-504091-004
G-505300-002
G-504091-001
G-504000-007
G-504000-006
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Erfassungsdatum
2016-10-13