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An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells
BACKGROUND: Gene expression can be influenced by DNA methylation 1) distally, at regulatory elements such as enhancers, as well as 2) proximally, at promoters. Our current understanding of the influence of distal DNA methylation changes on gene expression patterns is incomplete. Here, we characteriz...
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/PMC6006777/ https://www.ncbi.nlm.nih.gov/pubmed/29914364 http://dx.doi.org/10.1186/s12864-018-4842-3 |
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author | Kennedy, Elizabeth M. Goehring, George N. Nichols, Michael H. Robins, Chloe Mehta, Divya Klengel, Torsten Eskin, Eleazar Smith, Alicia K. Conneely, Karen N. |
author_facet | Kennedy, Elizabeth M. Goehring, George N. Nichols, Michael H. Robins, Chloe Mehta, Divya Klengel, Torsten Eskin, Eleazar Smith, Alicia K. Conneely, Karen N. |
author_sort | Kennedy, Elizabeth M. |
collection | PubMed |
description | BACKGROUND: Gene expression can be influenced by DNA methylation 1) distally, at regulatory elements such as enhancers, as well as 2) proximally, at promoters. Our current understanding of the influence of distal DNA methylation changes on gene expression patterns is incomplete. Here, we characterize genome-wide methylation and expression patterns for ~ 13 k genes to explore how DNA methylation interacts with gene expression, throughout the genome. RESULTS: We used a linear mixed model framework to assess the correlation of DNA methylation at ~ 400 k CpGs with gene expression changes at ~ 13 k transcripts in two independent datasets from human blood cells. Among CpGs at which methylation significantly associates with transcription (eCpGs), > 50% are distal (> 50 kb) or trans (different chromosome) to the correlated gene. Many eCpG-transcript pairs are consistent between studies and ~ 90% of neighboring eCpGs associate with the same gene, within studies. We find that enhancers (P < 5e-18) and microRNA genes (P = 9e-3) are overrepresented among trans eCpGs, and insulators and long intergenic non-coding RNAs are enriched among cis and distal eCpGs. Intragenic-eCpG-transcript correlations are negative in 60–70% of occurrences and are enriched for annotated gene promoters and enhancers (P < 0.002), highlighting the importance of intragenic regulation. Gene Ontology analysis indicates that trans eCpGs are enriched for transcription factor genes and chromatin modifiers, suggesting that some trans eCpGs represent the influence of gene networks and higher-order transcriptional control. CONCLUSIONS: This work sheds new light on the interplay between epigenetic changes and gene expression, and provides useful data for mining biologically-relevant results from epigenome-wide association studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4842-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6006777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60067772018-06-26 An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells Kennedy, Elizabeth M. Goehring, George N. Nichols, Michael H. Robins, Chloe Mehta, Divya Klengel, Torsten Eskin, Eleazar Smith, Alicia K. Conneely, Karen N. BMC Genomics Research Article BACKGROUND: Gene expression can be influenced by DNA methylation 1) distally, at regulatory elements such as enhancers, as well as 2) proximally, at promoters. Our current understanding of the influence of distal DNA methylation changes on gene expression patterns is incomplete. Here, we characterize genome-wide methylation and expression patterns for ~ 13 k genes to explore how DNA methylation interacts with gene expression, throughout the genome. RESULTS: We used a linear mixed model framework to assess the correlation of DNA methylation at ~ 400 k CpGs with gene expression changes at ~ 13 k transcripts in two independent datasets from human blood cells. Among CpGs at which methylation significantly associates with transcription (eCpGs), > 50% are distal (> 50 kb) or trans (different chromosome) to the correlated gene. Many eCpG-transcript pairs are consistent between studies and ~ 90% of neighboring eCpGs associate with the same gene, within studies. We find that enhancers (P < 5e-18) and microRNA genes (P = 9e-3) are overrepresented among trans eCpGs, and insulators and long intergenic non-coding RNAs are enriched among cis and distal eCpGs. Intragenic-eCpG-transcript correlations are negative in 60–70% of occurrences and are enriched for annotated gene promoters and enhancers (P < 0.002), highlighting the importance of intragenic regulation. Gene Ontology analysis indicates that trans eCpGs are enriched for transcription factor genes and chromatin modifiers, suggesting that some trans eCpGs represent the influence of gene networks and higher-order transcriptional control. CONCLUSIONS: This work sheds new light on the interplay between epigenetic changes and gene expression, and provides useful data for mining biologically-relevant results from epigenome-wide association studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4842-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-19 /pmc/articles/PMC6006777/ /pubmed/29914364 http://dx.doi.org/10.1186/s12864-018-4842-3 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 Article Kennedy, Elizabeth M. Goehring, George N. Nichols, Michael H. Robins, Chloe Mehta, Divya Klengel, Torsten Eskin, Eleazar Smith, Alicia K. Conneely, Karen N. An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells |
title | An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells |
title_full | An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells |
title_fullStr | An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells |
title_full_unstemmed | An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells |
title_short | An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells |
title_sort | integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006777/ https://www.ncbi.nlm.nih.gov/pubmed/29914364 http://dx.doi.org/10.1186/s12864-018-4842-3 |
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