Show simple item record

dc.date.accessioned2018-06-27T09:39:35Z
dc.date.issued2018-01-01
dc.identifierhttps://www.nature.com/articles/s41467-017-01586-1
dc.identifier.citationNATURE COMMUNICATIONS, 2018, 9
dc.identifier.issn2041-1723
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/1945
dc.description.abstractIntegrating 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 MeDIPseq 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 diseaserelated repercussions. These allelic variations require disentangling from pure tissue-specific modifications, may influence array studies, and imply underestimated population variability in current reference epigenomes.
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectgenome-wide association human cell-types rheumatoid-arthritis susceptibility loci genetic risk cpg-snps methylation transcription information landscape Science & Technology - Other Topics
dc.titleObligatory and facilitative allelic variation in the DNA methylome within common disease-associated loci
dc.typeJournal Article
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2018
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfNATURE COMMUNICATIONS
pubs.notesISI Document Delivery No.: FR8DN Times Cited: 0 Cited Reference Count: 75 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. Wellcome Trust [081878/Z/06/Z]; European Community's Seventh Framework Programme (FP7); National Institute for Health Research (NIHR); King's College London; European Research Council [250157]; BGI; MRC Lifecourse Epidemiology Unit; EpiGen Global Research Consortium We thank the twins who participate in TwinsUK studies. TwinsUK received funding for this project from the Wellcome Trust (Ref: 081878/Z/06/Z), European Community's Seventh Framework Programme (FP7/2007-2013), the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust in partnership with King's College London. Further funding support for this project was obtained from the European Research Council (project number 250157) and BGI. SNP Genotyping was performed by The Wellcome Trust Sanger Institute and National Eye Institute via NIH/CIDR. C.G.B. receives support from the MRC Lifecourse Epidemiology Unit and the EpiGen Global Research Consortium (www.epigengrc.com). T.D.S. is holder of an ERC Advanced Principal Investigator award. 0 Nature publishing group London none 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 MeDIPseq 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 diseaserelated repercussions. These allelic variations require disentangling from pure tissue-specific modifications, may influence array studies, and imply underestimated population variability in current reference epigenomes.
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Cancer Biomarkers
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Cancer Biomarkers
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Cancer Biomarkers
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Clinical Studies/Cancer Biomarkers
pubs.volume9
pubs.embargo.termsNot known
icr.researchteamCancer Biomarkers
dc.contributor.icrauthorYuan, Wei


Files in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0