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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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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. |
format | Online Article Text |
id | pubmed-5357865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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