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DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures
BACKGROUND: In recent years, epigenetics has gained a central role in the understanding of the process of natural selection. It is now clear how environmental impacts on the methylome could promote methylation variability with direct effects on disease etiology as well as phenotypic and genotypic va...
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/PMC5880022/ https://www.ncbi.nlm.nih.gov/pubmed/29606093 http://dx.doi.org/10.1186/s12864-018-4618-9 |
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author | Palumbo, Domenico Affinito, Ornella Monticelli, Antonella Cocozza, Sergio |
author_facet | Palumbo, Domenico Affinito, Ornella Monticelli, Antonella Cocozza, Sergio |
author_sort | Palumbo, Domenico |
collection | PubMed |
description | BACKGROUND: In recent years, epigenetics has gained a central role in the understanding of the process of natural selection. It is now clear how environmental impacts on the methylome could promote methylation variability with direct effects on disease etiology as well as phenotypic and genotypic variations in evolutionary processes. To identify possible factors influencing inter-individual methylation variability, we studied methylation values standard deviation of 166 healthy individuals searching for possible associations with genomic features and evolutionary signatures. RESULTS: We analyzed methylation variability values in relation to CpG cluster density and we found a strong association between them (p-value < 2.2 × 10(− 16)). Furthermore, we found that genes related to CpGs with high methylation variability values were enriched for immunological pathways; instead, those associated with low ones were enriched for pathways related to basic cellular functions. Finally, we found an association between methylation variability values and signals of both ancient (p-value < 2.2 × 10(− 16)) and recent selective pressure (p-value < 1 × 10(− 4)). CONCLUSION: Our results indicate the presence of an intricate interplay between genetics, epigenetic code and evolutionary constraints in humans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4618-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5880022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58800222018-04-04 DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures Palumbo, Domenico Affinito, Ornella Monticelli, Antonella Cocozza, Sergio BMC Genomics Research Article BACKGROUND: In recent years, epigenetics has gained a central role in the understanding of the process of natural selection. It is now clear how environmental impacts on the methylome could promote methylation variability with direct effects on disease etiology as well as phenotypic and genotypic variations in evolutionary processes. To identify possible factors influencing inter-individual methylation variability, we studied methylation values standard deviation of 166 healthy individuals searching for possible associations with genomic features and evolutionary signatures. RESULTS: We analyzed methylation variability values in relation to CpG cluster density and we found a strong association between them (p-value < 2.2 × 10(− 16)). Furthermore, we found that genes related to CpGs with high methylation variability values were enriched for immunological pathways; instead, those associated with low ones were enriched for pathways related to basic cellular functions. Finally, we found an association between methylation variability values and signals of both ancient (p-value < 2.2 × 10(− 16)) and recent selective pressure (p-value < 1 × 10(− 4)). CONCLUSION: Our results indicate the presence of an intricate interplay between genetics, epigenetic code and evolutionary constraints in humans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4618-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-02 /pmc/articles/PMC5880022/ /pubmed/29606093 http://dx.doi.org/10.1186/s12864-018-4618-9 Text en © The Author(s). 2018 Open Access This 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 Article Palumbo, Domenico Affinito, Ornella Monticelli, Antonella Cocozza, Sergio DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures |
title | DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures |
title_full | DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures |
title_fullStr | DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures |
title_full_unstemmed | DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures |
title_short | DNA Methylation variability among individuals is related to CpGs cluster density and evolutionary signatures |
title_sort | dna methylation variability among individuals is related to cpgs cluster density and evolutionary signatures |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880022/ https://www.ncbi.nlm.nih.gov/pubmed/29606093 http://dx.doi.org/10.1186/s12864-018-4618-9 |
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