Abstract

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.

Details

Title
Obligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci
Author
Bell, Christopher G 1   VIAFID ORCID Logo  ; Gao, Fei 2 ; Yuan, Wei 3 ; Roos, Leonie 4   VIAFID ORCID Logo  ; Acton, Richard J 5   VIAFID ORCID Logo  ; Xia, Yudong 2 ; Bell, Jordana 6 ; Ward, Kirsten 6 ; Mangino, Massimo 6   VIAFID ORCID Logo  ; Hysi, Pirro G 6   VIAFID ORCID Logo  ; Wang, Jun 7 ; Spector, Timothy D 6 

 Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK; MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Epigenomic Medicine, Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK; Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK 
 BGI-Shenzhen, Shenzhen, China 
 Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK; Institute of Cancer Research, Sutton, UK 
 Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK; MRC London Institute of Medical Sciences, Imperial College London, London, UK 
 MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Epigenomic Medicine, Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK; Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK 
 Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK 
 MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK 
First page
1
Publication year
2018
Publication date
Jan 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1983678450
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.