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DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns
BACKGROUND: Multiple epigenome-wide association studies have been performed to identify DNA methylation patterns regulated by aging or correlated with risk of death. However, the inter-relatedness of the epigenetic basis of aging and mortality has not been well investigated. METHODS: Using genome-wi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368749/ https://www.ncbi.nlm.nih.gov/pubmed/30736859 http://dx.doi.org/10.1186/s13148-019-0622-4 |
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author | Lund, Jesper Beltoft Li, Shuxia Baumbach, Jan Svane, Anne Marie Hjelmborg, Jacob Christiansen, Lene Christensen, Kaare Redmond, Paul Marioni, Riccardo E. Deary, Ian J. Tan, Qihua |
author_facet | Lund, Jesper Beltoft Li, Shuxia Baumbach, Jan Svane, Anne Marie Hjelmborg, Jacob Christiansen, Lene Christensen, Kaare Redmond, Paul Marioni, Riccardo E. Deary, Ian J. Tan, Qihua |
author_sort | Lund, Jesper Beltoft |
collection | PubMed |
description | BACKGROUND: Multiple epigenome-wide association studies have been performed to identify DNA methylation patterns regulated by aging or correlated with risk of death. However, the inter-relatedness of the epigenetic basis of aging and mortality has not been well investigated. METHODS: Using genome-wide DNA methylation data from the Lothian Birth Cohorts, we conducted a genome-wide association analysis of all-cause mortality and compared this with age-associated methylation patterns reported on the same samples. RESULTS: Survival analysis using the Cox regression model identified 2552 CpG sites with genome-wide significance (false discovery rate < 0.05) for all-cause mortality. CpGs whose methylation levels are associated with increased mortality appear more distributed from the gene body to the intergenic regions whereas CpGs whose methylation levels are associated with decreased mortality is more concentrated at the promoter regions. In comparison with reported CpGs displaying significant age-dependent methylation patterns in the same samples, we observed a limited but highly significant overlap between mortality-associated and age-associated CpGs (p value 2.52e−06). Most importantly, the overlapping CpGs are dominated by those whose overall age-related methylation patterns reduce the risk of death. CONCLUSION: All-cause mortality is significantly associated with altered methylation at multiple genomic sites with differential distribution in gene regions for CpGs correlated with increased or decreased risk of death. The age-dependent methylation changes could reflect an active response to the aging process that contributes to maintain individual survival. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-019-0622-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6368749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63687492019-02-15 DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns Lund, Jesper Beltoft Li, Shuxia Baumbach, Jan Svane, Anne Marie Hjelmborg, Jacob Christiansen, Lene Christensen, Kaare Redmond, Paul Marioni, Riccardo E. Deary, Ian J. Tan, Qihua Clin Epigenetics Research BACKGROUND: Multiple epigenome-wide association studies have been performed to identify DNA methylation patterns regulated by aging or correlated with risk of death. However, the inter-relatedness of the epigenetic basis of aging and mortality has not been well investigated. METHODS: Using genome-wide DNA methylation data from the Lothian Birth Cohorts, we conducted a genome-wide association analysis of all-cause mortality and compared this with age-associated methylation patterns reported on the same samples. RESULTS: Survival analysis using the Cox regression model identified 2552 CpG sites with genome-wide significance (false discovery rate < 0.05) for all-cause mortality. CpGs whose methylation levels are associated with increased mortality appear more distributed from the gene body to the intergenic regions whereas CpGs whose methylation levels are associated with decreased mortality is more concentrated at the promoter regions. In comparison with reported CpGs displaying significant age-dependent methylation patterns in the same samples, we observed a limited but highly significant overlap between mortality-associated and age-associated CpGs (p value 2.52e−06). Most importantly, the overlapping CpGs are dominated by those whose overall age-related methylation patterns reduce the risk of death. CONCLUSION: All-cause mortality is significantly associated with altered methylation at multiple genomic sites with differential distribution in gene regions for CpGs correlated with increased or decreased risk of death. The age-dependent methylation changes could reflect an active response to the aging process that contributes to maintain individual survival. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-019-0622-4) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-08 /pmc/articles/PMC6368749/ /pubmed/30736859 http://dx.doi.org/10.1186/s13148-019-0622-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Lund, Jesper Beltoft Li, Shuxia Baumbach, Jan Svane, Anne Marie Hjelmborg, Jacob Christiansen, Lene Christensen, Kaare Redmond, Paul Marioni, Riccardo E. Deary, Ian J. Tan, Qihua DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns |
title | DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns |
title_full | DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns |
title_fullStr | DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns |
title_full_unstemmed | DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns |
title_short | DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns |
title_sort | dna methylome profiling of all-cause mortality in comparison with age-associated methylation patterns |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368749/ https://www.ncbi.nlm.nih.gov/pubmed/30736859 http://dx.doi.org/10.1186/s13148-019-0622-4 |
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