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

Christopher G. Bell(King's College London), Fei Gao(BGI Group (China)), Wei Yuan(Institute of Cancer Research), Leonie Roos(King's College London), Richard Acton(International Society for Developmental Origins of Health and Disease), Yudong Xia(BGI Group (China)), Jordana T. Bell(King's College London), Kirsten Ward(King's College London), Massimo Mangino(King's College London), Pirro G. Hysi(King's College London), Jun Wang(MRC Lifecourse Epidemiology Unit), Timothy D. Spector(King's College London)
Nature Communications
December 27, 2017
Cited by 165Open Access
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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.


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