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DNA methylation signatures in peripheral blood strongly predict all-cause mortality

DNA methylation (DNAm) has been revealed to play a role in various diseases. Here we performed epigenome-wide screening and validation to identify mortality-related DNAm signatures in a general population-based cohort with up to 14 years follow-up. In the discovery panel in a case-cohort approach, 1...

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Autores principales: Zhang, Yan, Wilson, Rory, Heiss, Jonathan, Breitling, Lutz P., Saum, Kai-Uwe, Schöttker, Ben, Holleczek, Bernd, Waldenberger, Melanie, Peters, Annette, Brenner, Hermann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357865/
https://www.ncbi.nlm.nih.gov/pubmed/28303888
http://dx.doi.org/10.1038/ncomms14617
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author Zhang, Yan
Wilson, Rory
Heiss, Jonathan
Breitling, Lutz P.
Saum, Kai-Uwe
Schöttker, Ben
Holleczek, Bernd
Waldenberger, Melanie
Peters, Annette
Brenner, Hermann
author_facet Zhang, Yan
Wilson, Rory
Heiss, Jonathan
Breitling, Lutz P.
Saum, Kai-Uwe
Schöttker, Ben
Holleczek, Bernd
Waldenberger, Melanie
Peters, Annette
Brenner, Hermann
author_sort Zhang, Yan
collection PubMed
description DNA methylation (DNAm) has been revealed to play a role in various diseases. Here we performed epigenome-wide screening and validation to identify mortality-related DNAm signatures in a general population-based cohort with up to 14 years follow-up. In the discovery panel in a case-cohort approach, 11,063 CpGs reach genome-wide significance (FDR<0.05). 58 CpGs, mapping to 38 well-known disease-related genes and 14 intergenic regions, are confirmed in a validation panel. A mortality risk score based on ten selected CpGs exhibits strong association with all-cause mortality, showing hazard ratios (95% CI) of 2.16 (1.10–4.24), 3.42 (1.81–6.46) and 7.36 (3.69–14.68), respectively, for participants with scores of 1, 2–5 and 5+ compared with a score of 0. These associations are confirmed in an independent cohort and are independent from the ‘epigenetic clock'. In conclusion, DNAm of multiple disease-related genes are strongly linked to mortality outcomes. The DNAm-based risk score might be informative for risk assessment and stratification.
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spelling pubmed-53578652017-04-05 DNA methylation signatures in peripheral blood strongly predict all-cause mortality Zhang, Yan Wilson, Rory Heiss, Jonathan Breitling, Lutz P. Saum, Kai-Uwe Schöttker, Ben Holleczek, Bernd Waldenberger, Melanie Peters, Annette Brenner, Hermann Nat Commun Article DNA methylation (DNAm) has been revealed to play a role in various diseases. Here we performed epigenome-wide screening and validation to identify mortality-related DNAm signatures in a general population-based cohort with up to 14 years follow-up. In the discovery panel in a case-cohort approach, 11,063 CpGs reach genome-wide significance (FDR<0.05). 58 CpGs, mapping to 38 well-known disease-related genes and 14 intergenic regions, are confirmed in a validation panel. A mortality risk score based on ten selected CpGs exhibits strong association with all-cause mortality, showing hazard ratios (95% CI) of 2.16 (1.10–4.24), 3.42 (1.81–6.46) and 7.36 (3.69–14.68), respectively, for participants with scores of 1, 2–5 and 5+ compared with a score of 0. These associations are confirmed in an independent cohort and are independent from the ‘epigenetic clock'. In conclusion, DNAm of multiple disease-related genes are strongly linked to mortality outcomes. The DNAm-based risk score might be informative for risk assessment and stratification. Nature Publishing Group 2017-03-17 /pmc/articles/PMC5357865/ /pubmed/28303888 http://dx.doi.org/10.1038/ncomms14617 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhang, Yan
Wilson, Rory
Heiss, Jonathan
Breitling, Lutz P.
Saum, Kai-Uwe
Schöttker, Ben
Holleczek, Bernd
Waldenberger, Melanie
Peters, Annette
Brenner, Hermann
DNA methylation signatures in peripheral blood strongly predict all-cause mortality
title DNA methylation signatures in peripheral blood strongly predict all-cause mortality
title_full DNA methylation signatures in peripheral blood strongly predict all-cause mortality
title_fullStr DNA methylation signatures in peripheral blood strongly predict all-cause mortality
title_full_unstemmed DNA methylation signatures in peripheral blood strongly predict all-cause mortality
title_short DNA methylation signatures in peripheral blood strongly predict all-cause mortality
title_sort dna methylation signatures in peripheral blood strongly predict all-cause mortality
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357865/
https://www.ncbi.nlm.nih.gov/pubmed/28303888
http://dx.doi.org/10.1038/ncomms14617
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