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Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception
BACKGROUND: The well-established association of chronological age with changes in DNA methylation is primarily founded on the analysis of large sets of blood samples, while conclusions regarding tissue-specificity are typically based on small number of samples, tissues and CpGs. Here, we systematica...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975493/ https://www.ncbi.nlm.nih.gov/pubmed/29848354 http://dx.doi.org/10.1186/s13072-018-0191-3 |
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author | Slieker, Roderick C. Relton, Caroline L. Gaunt, Tom R. Slagboom, P. Eline Heijmans, Bastiaan T. |
author_facet | Slieker, Roderick C. Relton, Caroline L. Gaunt, Tom R. Slagboom, P. Eline Heijmans, Bastiaan T. |
author_sort | Slieker, Roderick C. |
collection | PubMed |
description | BACKGROUND: The well-established association of chronological age with changes in DNA methylation is primarily founded on the analysis of large sets of blood samples, while conclusions regarding tissue-specificity are typically based on small number of samples, tissues and CpGs. Here, we systematically investigate the tissue-specific character of age-related DNA methylation changes at the level of the CpG, functional genomic region and nearest gene in a large dataset. RESULTS: We assembled a compendium of public data, encompassing genome-wide DNA methylation data (Illumina 450k array) on 8092 samples from 16 different tissues, including 7 tissues with moderate to high sample numbers (Dataset size range 96–1202, N(total) = 2858). In the 7 tissues (brain, buccal, liver, kidney, subcutaneous fat, monocytes and T-helper cells), we identified 7850 differentially methylated positions that gained (gain-aDMPs; cut-offs: P(bonf) ≤ 0.05, effect size ≥ 2%/10 years) and 4,287 that lost DNA methylation with age (loss-aDMPs), 92% of which had not previously been reported for whole blood. The majority of all aDMPs identified occurred in one tissue only (gain-aDMPs: 85.2%; loss-aDMPs: 97.4%), an effect independent of statistical power. This striking tissue-specificity extended to both the functional genomic regions (defined by chromatin state segmentation) and the nearest gene. However, aDMPs did accumulate in regions with the same functional annotation across tissues, namely polycomb-repressed CpG islands for gain-aDMPs and regions marked by active histone modifications for loss-aDMPs. CONCLUSION: Our analysis shows that age-related DNA methylation changes are highly tissue-specific. These results may guide the development of improved tissue-specific markers of chronological and, perhaps, biological age. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13072-018-0191-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5975493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59754932018-05-31 Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception Slieker, Roderick C. Relton, Caroline L. Gaunt, Tom R. Slagboom, P. Eline Heijmans, Bastiaan T. Epigenetics Chromatin Research BACKGROUND: The well-established association of chronological age with changes in DNA methylation is primarily founded on the analysis of large sets of blood samples, while conclusions regarding tissue-specificity are typically based on small number of samples, tissues and CpGs. Here, we systematically investigate the tissue-specific character of age-related DNA methylation changes at the level of the CpG, functional genomic region and nearest gene in a large dataset. RESULTS: We assembled a compendium of public data, encompassing genome-wide DNA methylation data (Illumina 450k array) on 8092 samples from 16 different tissues, including 7 tissues with moderate to high sample numbers (Dataset size range 96–1202, N(total) = 2858). In the 7 tissues (brain, buccal, liver, kidney, subcutaneous fat, monocytes and T-helper cells), we identified 7850 differentially methylated positions that gained (gain-aDMPs; cut-offs: P(bonf) ≤ 0.05, effect size ≥ 2%/10 years) and 4,287 that lost DNA methylation with age (loss-aDMPs), 92% of which had not previously been reported for whole blood. The majority of all aDMPs identified occurred in one tissue only (gain-aDMPs: 85.2%; loss-aDMPs: 97.4%), an effect independent of statistical power. This striking tissue-specificity extended to both the functional genomic regions (defined by chromatin state segmentation) and the nearest gene. However, aDMPs did accumulate in regions with the same functional annotation across tissues, namely polycomb-repressed CpG islands for gain-aDMPs and regions marked by active histone modifications for loss-aDMPs. CONCLUSION: Our analysis shows that age-related DNA methylation changes are highly tissue-specific. These results may guide the development of improved tissue-specific markers of chronological and, perhaps, biological age. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13072-018-0191-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-30 /pmc/articles/PMC5975493/ /pubmed/29848354 http://dx.doi.org/10.1186/s13072-018-0191-3 Text en © The Author(s) 2018 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 Slieker, Roderick C. Relton, Caroline L. Gaunt, Tom R. Slagboom, P. Eline Heijmans, Bastiaan T. Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
title | Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
title_full | Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
title_fullStr | Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
title_full_unstemmed | Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
title_short | Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception |
title_sort | age-related dna methylation changes are tissue-specific with elovl2 promoter methylation as exception |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975493/ https://www.ncbi.nlm.nih.gov/pubmed/29848354 http://dx.doi.org/10.1186/s13072-018-0191-3 |
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