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Blood DNA methylation sites predict death risk in a longitudinal study of 12, 300 individuals

Authors :
Juan E. Castillo-Fernandez
Riccardo E. Marioni
Andrea A. Baccarelli
Luigi Ferrucci
Steve Horvath
Joel Schwartz
Daniel Levy
Luke C. Pilling
Rahul Gondalia
James S. Pankow
Naomi R. Wray
Allan C. Just
Ian J. Deary
Toshiko Tanaka
Melanie Waldenberger
Wen Zhang
Gao Xu
Allan F. McRae
Phil S. Tsaho
Holger Prokisch
James D. Stewart
Tim Assimes
Rory P. Wilson
Cavin K. Ward-Caviness
John M. Starr
Weihua Guan
Yun Li
Devin Absher
Pantel S. Vokonas
Peter M. Visscher
Mike Mendelson
Ann Zenobia Moore
Agha Golareh
Chunyu Liu
Jan Bressler
Eric A. Whitsel
Ake T. Lu
Pei-Chien Tsai
Joanne M. Murabito
Lifang Hou
Tim D. Spector
Annette Peters
Guosheng Zhang
Tianxiao Huan
Elena Colicino
Jordana T. Bell
Stefania Bandinelli
Brian H. Chen
Douglas P. Kiel
Source :
Aging (Albany NY), Aging 12, 14092-14124 (2020), Colicino, E, Marioni, R, Ward-Caviness, C, Gondalia, R, Guan, W, Chen, B H, Tsai, P-C, Huan, T, Xu, G, Agha, G, Schwartz, J, Vokonas, P, Just, A C, Starr, J, Mcrae, A F, Wray, N, Visscher, P, Bressler, J, Zhang, W, Toshiko, T, Moore, A Z, Pilling, L C, Zhang, G, Stewart, J, Li, Y, Hou, L, Castillo-Fernandez, J, Spector, T D, Kiel, D P, Murabito, J M, Liu, C, Mendelson, M, Assimes, T, Absher, D, Tsaho, P S, Lu, A T, Ferrucci, L, Wilson, R P, Waldenberger, M, Prokisch, H, Bandinelli, S, Bell, J T, Levy, D, Deary, I, Horvath, S, Pankow, J, Peters, A, Whitsel, E A & Baccarelli, A A 2020, ' Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals ', Aging, vol. 12, no. 14, pp. 14092—14124 . https://doi.org/10.18632/aging.103408
Publication Year :
2020
Publisher :
Impact Journals, LLC, 2020.

Abstract

DNA methylation has fundamental roles in gene programming and aging that may help predict mortality. However, no large-scale study has investigated whether site-specific DNA methylation predicts all-cause mortality. We used the Illumina-HumanMethylation450-BeadChip to identify blood DNA methylation sites associated with all-cause mortality for 12, 300 participants in 12 Cohorts of the Heart and Aging Research in Genetic Epidemiology (CHARGE) Consortium. Over an average 10-year follow-up, there were 2,561 deaths across the cohorts. Nine sites mapping to three intergenic and six gene-specific regions were associated with mortality (P < 9.3x10-7) independently of age and other mortality predictors. Six sites (cg14866069, cg23666362, cg20045320, cg07839457, cg07677157, cg09615688)—mapping respectively to BMPR1B, MIR1973, IFITM3, NLRC5, and two intergenic regions—were associated with reduced mortality risk. The remaining three sites (cg17086398, cg12619262, cg18424841)—mapping respectively to SERINC2, CHST12, and an intergenic region—were associated with increased mortality risk. DNA methylation at each site predicted 5%¬¬–15% of all deaths. We also assessed the causal association of those sites to age-related chronic diseases by using Mendelian randomization, identifying weak causal relationship between cg18424841 and cg09615688 with coronary heart disease. Of the nine sites, three (cg20045320, cg07839457, cg07677157) were associated with lower incidence of heart disease risk and two (cg20045320, cg07839457) with smoking and inflammation in prior CHARGE analyses. Methylation of cg20045320, cg07839457, and cg17086398 was associated with decreased expression of nearby genes (IFITM3, IRF, NLRC5, MT1, MT2, MARCKSL1) linked to immune responses and cardiometabolic diseases. These sites may serve as useful clinical tools for mortality risk assessment and preventative care.

Details

ISSN :
19454589
Volume :
12
Database :
OpenAIRE
Journal :
Aging
Accession number :
edsair.doi.dedup.....b6fcd1ed2aa3f2ec0241f86d61f2f28d
Full Text :
https://doi.org/10.18632/aging.103408