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Impact Journals, Aging, 9(8), p. 1844-1865, 2016

DOI: 10.18632/aging.101020

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

Journal article published in 2016 by Bh H. (Brian) Chen, Re E. (Riccardo) Marioni, Elena Colicino, Mj J. (Marjolein) Peters, Ck K. (Cavin K.) Ward-Caviness, Pc-C. (Pei-Chien) Tsai, Ns S. (Nicholas S.) Roetker, Ac C. (Allan C.) Just, Ew W. (Ellen) Demerath, Weihua Guan, Jan Bressler, Myriam Fornage, Stephanie Studenski, Ar R. (Amy R.) Vandiver, Az Z. (Ann Zenobia) Moore and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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 ≤ 8.2 x 10-9), independent of chronological age, even after adjusting for additional risk factors (p