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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Dna Methylation ; All-cause Mortality ; Epigenetic Clock ; Epigenetics ; Lifespan ; Mortality; All-cause Mortality; Epigenetic Clock; Disease; Blood; Cohort; Epidemiology; Cancer; Brain; Life
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2016
Prepublished im Jahr
HGF-Berichtsjahr
2016
ISSN (print) / ISBN
1945-4589
e-ISSN
1945-4589
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 8,
Heft: 9,
Seiten: 1844-1865
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Impact Journals LLC
Verlagsort
Albany
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30202 - Environmental Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-005
G-504091-004
G-505300-002
G-504091-001
G-504000-007
G-504000-006
Förderungen
Copyright
Erfassungsdatum
2016-10-13