DNA methylation-based biomarkers of age acceleration and all-cause death, myocardial infarction, stroke, and cancer in two cohorts: The NAS, and KORA F4

被引：47

作者：

Wang, Cuicui ^{[1
]}

Ni, Wenli ^{[2
]}

Yao, Yueli ^{[2
]}

Just, Allan ^{[3
]}

Heiss, Jonathan ^{[3
]}

Wei, Yaguang ^{[1
]}

Gao, Xu ^{[4
]}

Coull, Brent A. ^{[1
,5
]}

Kosheleva, Anna ^{[1
]}

Baccarelli, Andrea A. ^{[4
]}

Peters, Annette ^{[2
,6
]}

Schwartz, Joel D. ^{[1
]}

机构：

[1] Harvard TH Chan Sch Publ Hlth, Dept Environm Hlth, West Landmark Ctr, 401 Pk Dr, Boston, MA 02215 USA

[2] Helmholtz Zentrum Munchen, Inst Epidemiol, Neuherberg, Germany

[3] Icahn Sch Med Mt Sinai, Dept Environm Med & Publ Hlth, New York, NY 10029 USA

[4] Columbia Univ, Dept Environm Hlth Sci, Mailman Sch Publ Hlth, New York, NY USA

[5] Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

[6] Ludwig Maximilians Univ Munchen, Inst Med Informat Sci Biometry & Epidemiol, Munich, Germany

来源：

EBIOMEDICINE | 2021年 / 63卷

关键词：

DNA methylation based biomarkers of age acceleration; All-cause death; Myocardial infarction; Stroke; Cancer; Competing risk; COMPETING RISKS; EPIGENETIC AGE; AIR-POLLUTION; BLOOD; MORTALITY; PREDICTORS; HAZARDS; DISEASE;

D O I：

10.1016/j.ebiom.2020.103151

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Background: DNA methylation (DNAm) may play a role in age-related outcomes. It is not yet known which DNAm-based biomarkers of age acceleration (BoAA) has the strongest association with age-related endpoints. Methods: We collected the blood samples from two independent cohorts: the Normative Ageing Study, and the Cooperative Health Research in the Region of Augsburg cohort. We measured epigenome-wide DNAm level, and generated five DNAm BoAA at baseline. We used Cox proportional hazards model to analyze the relationships between BoAA and all-cause death. We applied the Fine and Gray competing risk model to estimate the risk of BoAA on myocardial infarction (MI), stroke, and cancer, accounting for death of other reasons as the competing risks. We used random-effects meta-analyses to pool the individual results, with adjustment for multiple testing. Findings: The mean chronological ages in the two cohorts were 74, and 61, respectively. Baseline GrimAgeAccel, and DNAm-related mortality risk score (DNAmRS) both had strong associations with all-cause death, MI, and stroke, independent from chronological age. For example, a one standard deviation (SD) increment in GrimAgeAccel was significantly associated with increased risk of all-cause death [hazard ratio (HR): 2.01; 95% confidence interval (CI), 1.15, 3.50], higher risk of MI (HR: 1.44; 95% CI, 1.16, 1.79), and elevated risk of stroke (HR: 1.42; 95% CI, 1.06, 1.91). There were no associations between any BoAA and cancer. Interpretation: From the public health perspective, GrimAgeAccel is the most useful tool for identifying at-risk elderly, and evaluating the efficacy of anti-aging interventions. (C) 2020 The Authors. Published by Elsevier B.V.

引用

页数：9