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Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci

Integrating epigenetic data with genome-wide association study (GWAS) results can reveal disease mechanisms. The genome sequence itself also shapes the epigenome, with CpG density and transcription factor binding sites (TFBSs) strongly encoding the DNA methylome. Therefore, genetic polymorphism impa...

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Autores principales: Bell, Christopher G., Gao, Fei, Yuan, Wei, Roos, Leonie, Acton, Richard J., Xia, Yudong, Bell, Jordana, Ward, Kirsten, Mangino, Massimo, Hysi, Pirro G., Wang, Jun, Spector, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750212/
https://www.ncbi.nlm.nih.gov/pubmed/29295990
http://dx.doi.org/10.1038/s41467-017-01586-1
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author Bell, Christopher G.
Gao, Fei
Yuan, Wei
Roos, Leonie
Acton, Richard J.
Xia, Yudong
Bell, Jordana
Ward, Kirsten
Mangino, Massimo
Hysi, Pirro G.
Wang, Jun
Spector, Timothy D.
author_facet Bell, Christopher G.
Gao, Fei
Yuan, Wei
Roos, Leonie
Acton, Richard J.
Xia, Yudong
Bell, Jordana
Ward, Kirsten
Mangino, Massimo
Hysi, Pirro G.
Wang, Jun
Spector, Timothy D.
author_sort Bell, Christopher G.
collection PubMed
description Integrating epigenetic data with genome-wide association study (GWAS) results can reveal disease mechanisms. The genome sequence itself also shapes the epigenome, with CpG density and transcription factor binding sites (TFBSs) strongly encoding the DNA methylome. Therefore, genetic polymorphism impacts on the observed epigenome. Furthermore, large genetic variants alter epigenetic signal dosage. Here, we identify DNA methylation variability between GWAS-SNP risk and non-risk haplotypes. In three subsets comprising 3128 MeDIP-seq peripheral-blood DNA methylomes, we find 7173 consistent and functionally enriched Differentially Methylated Regions. 36.8% can be attributed to common non-SNP genetic variants. CpG-SNPs, as well as facilitative TFBS-motifs, are also enriched. Highlighting their functional potential, CpG-SNPs strongly associate with allele-specific DNase-I hypersensitivity sites. Our results demonstrate strong DNA methylation allelic differences driven by obligatory or facilitative genetic effects, with potential direct or regional disease-related repercussions. These allelic variations require disentangling from pure tissue-specific modifications, may influence array studies, and imply underestimated population variability in current reference epigenomes.
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spelling pubmed-57502122018-01-13 Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci Bell, Christopher G. Gao, Fei Yuan, Wei Roos, Leonie Acton, Richard J. Xia, Yudong Bell, Jordana Ward, Kirsten Mangino, Massimo Hysi, Pirro G. Wang, Jun Spector, Timothy D. Nat Commun Article Integrating epigenetic data with genome-wide association study (GWAS) results can reveal disease mechanisms. The genome sequence itself also shapes the epigenome, with CpG density and transcription factor binding sites (TFBSs) strongly encoding the DNA methylome. Therefore, genetic polymorphism impacts on the observed epigenome. Furthermore, large genetic variants alter epigenetic signal dosage. Here, we identify DNA methylation variability between GWAS-SNP risk and non-risk haplotypes. In three subsets comprising 3128 MeDIP-seq peripheral-blood DNA methylomes, we find 7173 consistent and functionally enriched Differentially Methylated Regions. 36.8% can be attributed to common non-SNP genetic variants. CpG-SNPs, as well as facilitative TFBS-motifs, are also enriched. Highlighting their functional potential, CpG-SNPs strongly associate with allele-specific DNase-I hypersensitivity sites. Our results demonstrate strong DNA methylation allelic differences driven by obligatory or facilitative genetic effects, with potential direct or regional disease-related repercussions. These allelic variations require disentangling from pure tissue-specific modifications, may influence array studies, and imply underestimated population variability in current reference epigenomes. Nature Publishing Group UK 2018-01-02 /pmc/articles/PMC5750212/ /pubmed/29295990 http://dx.doi.org/10.1038/s41467-017-01586-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bell, Christopher G.
Gao, Fei
Yuan, Wei
Roos, Leonie
Acton, Richard J.
Xia, Yudong
Bell, Jordana
Ward, Kirsten
Mangino, Massimo
Hysi, Pirro G.
Wang, Jun
Spector, Timothy D.
Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci
title Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci
title_full Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci
title_fullStr Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci
title_full_unstemmed Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci
title_short Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci
title_sort obligatory and facilitative allelic variation in the dna methylome within common disease-associated loci
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750212/
https://www.ncbi.nlm.nih.gov/pubmed/29295990
http://dx.doi.org/10.1038/s41467-017-01586-1
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