DNA methylation-based measures of biological age: meta-analysis predicting time to death.

TitleDNA methylation-based measures of biological age: meta-analysis predicting time to death.
Publication TypeJournal Article
Year of Publication2016
AuthorsChen, BH, Marioni, RE, Colicino, E, Peters, MJ, Ward-Caviness, CK, Tsai, P-C, Roetker, NS, Just, AC, Demerath, EW, Guan, W, Bressler, J, Fornage, M, Studenski, S, Vandiver, AR, Moore, AZenobia, Tanaka, T, Kiel, DP, Liang, L, Vokonas, P, Schwartz, J, Lunetta, KL, Murabito, JM, Bandinelli, S, Hernandez, DG, Melzer, D, Nalls, M, Pilling, LC, Price, TR, Singleton, AB, Gieger, C, Holle, R, Kretschmer, A, Kronenberg, F, Kunze, S, Linseisen, J, Meisinger, C, Rathmann, W, Waldenberger, M, Visscher, PM, Shah, S, Wray, NR, McRae, AF, Franco, OH, Hofman, A, Uitterlinden, AG, Absher, D, Assimes, T, Levine, ME, Lu, AT, Tsao, PS, Hou, L, Manson, JAE, Carty, CL, LaCroix, AZ, Reiner, AP, Spector, TD, Feinberg, AP, Levy, D, Baccarelli, A, van Meurs, J, Bell, JT, Peters, A, Deary, IJ, Pankow, JS, Ferrucci, L, Horvath, S
JournalAging (Albany NY)
Volume8
Issue9
Pagination1844-1865
Date Published2016 Sep 28
ISSN1945-4589
Abstract

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
DOI10.18632/aging.101020
Alternate JournalAging (Albany NY)
PubMed ID27690265
PubMed Central IDPMC5076441
Grant ListHHSN268201100012C / HL / NHLBI NIH HHS / United States
RC2 HL102419 / HL / NHLBI NIH HHS / United States
HHSN268201100001I / HL / NHLBI NIH HHS / United States
HHSN268201100009I / HL / NHLBI NIH HHS / United States
HHSN268201100010C / HL / NHLBI NIH HHS / United States
HHSN268201100008C / HL / NHLBI NIH HHS / United States
HHSN268201500001C / HL / NHLBI NIH HHS / United States
HHSN268201100005G / HL / NHLBI NIH HHS / United States
HHSN268201100004I / HL / NHLBI NIH HHS / United States
HHSN268201100008I / HL / NHLBI NIH HHS / United States
HHSN268201100007C / HL / NHLBI NIH HHS / United States
HHSN268201100046C / HL / NHLBI NIH HHS / United States
HHSN268201100011I / HL / NHLBI NIH HHS / United States
HHSN268201100011C / HL / NHLBI NIH HHS / United States
HHSN268201100003C / WH / WHI NIH HHS / United States
HHSN268201100006C / HL / NHLBI NIH HHS / United States
HHSN268201100005I / HL / NHLBI NIH HHS / United States
HHSN271201100004C / AG / NIA NIH HHS / United States
R01 AG029451 / AG / NIA NIH HHS / United States
HHSN268201500001I / HL / NHLBI NIH HHS / United States
HHSN268201100002C / WH / WHI NIH HHS / United States
HHSN268201100009C / HL / NHLBI NIH HHS / United States
HHSN268201100005C / HL / NHLBI NIH HHS / United States
N01HC25195 / HL / NHLBI NIH HHS / United States
HHSN268201100007I / HL / NHLBI NIH HHS / United States
HHSN268201100002I / HL / NHLBI NIH HHS / United States
U34 AG051425 / AG / NIA NIH HHS / United States
R01 AG042511 / AG / NIA NIH HHS / United States
HHSN268201100001C / WH / WHI NIH HHS / United States
HHSN268201100004C / WH / WHI NIH HHS / United States