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

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...

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Autores principales: Colicino, Elena, Marioni, Riccardo, Ward-Caviness, Cavin, Gondalia, Rahul, Guan, Weihua, Chen, Brian, Tsai, Pei-Chien, Huan, Tianxiao, Xu, Gao, Golareh, Agha, Schwartz, Joel, Vokonas, Pantel, Just, Allan, Starr, John M., McRae, Allan F., Wray, Naomi R., Visscher, Peter M., Bressler, Jan, Zhang, Wen, Tanaka, Toshiko, Moore, Ann Zenobia, Pilling, Luke C., Zhang, Guosheng, Stewart, James D., Li, Yun, Hou, Lifang, Castillo-Fernandez, Juan, Spector, Tim, Kiel, Douglas P., Murabito, Joanne M., Liu, Chunyu, Mendelson, Mike, Assimes, Tim, Absher, Devin, Tsaho, Phil S., Lu, Ake T., Ferrucci, Luigi, Wilson, Rory, Waldenberger, Melanie, Prokisch, Holger, Bandinelli, Stefania, Bell, Jordana T., Levy, Daniel, Deary, Ian J., Horvath, Steve, Pankow, Jim, Peters, Annette, Whitsel, Eric A., Baccarelli, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425458/
https://www.ncbi.nlm.nih.gov/pubmed/32697766
http://dx.doi.org/10.18632/aging.103408
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author Colicino, Elena
Marioni, Riccardo
Ward-Caviness, Cavin
Gondalia, Rahul
Guan, Weihua
Chen, Brian
Tsai, Pei-Chien
Huan, Tianxiao
Xu, Gao
Golareh, Agha
Schwartz, Joel
Vokonas, Pantel
Just, Allan
Starr, John M.
McRae, Allan F.
Wray, Naomi R.
Visscher, Peter M.
Bressler, Jan
Zhang, Wen
Tanaka, Toshiko
Moore, Ann Zenobia
Pilling, Luke C.
Zhang, Guosheng
Stewart, James D.
Li, Yun
Hou, Lifang
Castillo-Fernandez, Juan
Spector, Tim
Kiel, Douglas P.
Murabito, Joanne M.
Liu, Chunyu
Mendelson, Mike
Assimes, Tim
Absher, Devin
Tsaho, Phil S.
Lu, Ake T.
Ferrucci, Luigi
Wilson, Rory
Waldenberger, Melanie
Prokisch, Holger
Bandinelli, Stefania
Bell, Jordana T.
Levy, Daniel
Deary, Ian J.
Horvath, Steve
Pankow, Jim
Peters, Annette
Whitsel, Eric A.
Baccarelli, Andrea
author_facet Colicino, Elena
Marioni, Riccardo
Ward-Caviness, Cavin
Gondalia, Rahul
Guan, Weihua
Chen, Brian
Tsai, Pei-Chien
Huan, Tianxiao
Xu, Gao
Golareh, Agha
Schwartz, Joel
Vokonas, Pantel
Just, Allan
Starr, John M.
McRae, Allan F.
Wray, Naomi R.
Visscher, Peter M.
Bressler, Jan
Zhang, Wen
Tanaka, Toshiko
Moore, Ann Zenobia
Pilling, Luke C.
Zhang, Guosheng
Stewart, James D.
Li, Yun
Hou, Lifang
Castillo-Fernandez, Juan
Spector, Tim
Kiel, Douglas P.
Murabito, Joanne M.
Liu, Chunyu
Mendelson, Mike
Assimes, Tim
Absher, Devin
Tsaho, Phil S.
Lu, Ake T.
Ferrucci, Luigi
Wilson, Rory
Waldenberger, Melanie
Prokisch, Holger
Bandinelli, Stefania
Bell, Jordana T.
Levy, Daniel
Deary, Ian J.
Horvath, Steve
Pankow, Jim
Peters, Annette
Whitsel, Eric A.
Baccarelli, Andrea
author_sort Colicino, Elena
collection PubMed
description 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.
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spelling pubmed-74254582020-08-25 Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals Colicino, Elena Marioni, Riccardo Ward-Caviness, Cavin Gondalia, Rahul Guan, Weihua Chen, Brian Tsai, Pei-Chien Huan, Tianxiao Xu, Gao Golareh, Agha Schwartz, Joel Vokonas, Pantel Just, Allan Starr, John M. McRae, Allan F. Wray, Naomi R. Visscher, Peter M. Bressler, Jan Zhang, Wen Tanaka, Toshiko Moore, Ann Zenobia Pilling, Luke C. Zhang, Guosheng Stewart, James D. Li, Yun Hou, Lifang Castillo-Fernandez, Juan Spector, Tim Kiel, Douglas P. Murabito, Joanne M. Liu, Chunyu Mendelson, Mike Assimes, Tim Absher, Devin Tsaho, Phil S. Lu, Ake T. Ferrucci, Luigi Wilson, Rory Waldenberger, Melanie Prokisch, Holger Bandinelli, Stefania Bell, Jordana T. Levy, Daniel Deary, Ian J. Horvath, Steve Pankow, Jim Peters, Annette Whitsel, Eric A. Baccarelli, Andrea Aging (Albany NY) Research Paper 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. Impact Journals 2020-07-22 /pmc/articles/PMC7425458/ /pubmed/32697766 http://dx.doi.org/10.18632/aging.103408 Text en Copyright © 2020 Colicino et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Colicino, Elena
Marioni, Riccardo
Ward-Caviness, Cavin
Gondalia, Rahul
Guan, Weihua
Chen, Brian
Tsai, Pei-Chien
Huan, Tianxiao
Xu, Gao
Golareh, Agha
Schwartz, Joel
Vokonas, Pantel
Just, Allan
Starr, John M.
McRae, Allan F.
Wray, Naomi R.
Visscher, Peter M.
Bressler, Jan
Zhang, Wen
Tanaka, Toshiko
Moore, Ann Zenobia
Pilling, Luke C.
Zhang, Guosheng
Stewart, James D.
Li, Yun
Hou, Lifang
Castillo-Fernandez, Juan
Spector, Tim
Kiel, Douglas P.
Murabito, Joanne M.
Liu, Chunyu
Mendelson, Mike
Assimes, Tim
Absher, Devin
Tsaho, Phil S.
Lu, Ake T.
Ferrucci, Luigi
Wilson, Rory
Waldenberger, Melanie
Prokisch, Holger
Bandinelli, Stefania
Bell, Jordana T.
Levy, Daniel
Deary, Ian J.
Horvath, Steve
Pankow, Jim
Peters, Annette
Whitsel, Eric A.
Baccarelli, Andrea
Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals
title Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals
title_full Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals
title_fullStr Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals
title_full_unstemmed Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals
title_short Blood DNA methylation sites predict death risk in a longitudinal study of 12,300 individuals
title_sort blood dna methylation sites predict death risk in a longitudinal study of 12,300 individuals
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425458/
https://www.ncbi.nlm.nih.gov/pubmed/32697766
http://dx.doi.org/10.18632/aging.103408
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