An integrated epigenomic analysis for type 2 diabetes susceptibility loci in monozygotic twins

dc.contributor.authorYuan, Wei
dc.contributor.authorXia, Yudong
dc.contributor.authorBell, Christopher G.
dc.contributor.authorYet, Idil
dc.contributor.authorFerreira, Teresa
dc.contributor.authorWard, Kirsten J.
dc.contributor.authorGao, Fei
dc.contributor.authorLoomis, A. Katrina
dc.contributor.authorHyde, Craig L.
dc.contributor.authorWu, Honglong
dc.contributor.authorLu, Hanlin
dc.contributor.authorLiu, Yuan
dc.contributor.authorSmall, Kerrin S.
dc.contributor.authorViñuela, Ana
dc.contributor.authorMorris, Andrew P.
dc.contributor.authorBerdasco, María
dc.contributor.authorEsteller, Manel
dc.contributor.authorBrosnan, M. Julia
dc.contributor.authorDeloukas, Panos
dc.contributor.authorMcCarthy, Mark I.
dc.contributor.authorJohn, Sally L.
dc.contributor.authorBell, Jordana T.
dc.contributor.authorWang, Jun
dc.contributor.authorSpector, Tim D.
dc.date.accessioned2018-10-30T14:06:39Z
dc.date.available2018-10-30T14:06:39Z
dc.date.issued2014-12-12
dc.date.updated2018-10-30T14:06:40Z
dc.description.abstractDNA methylation has a great potential for understanding the aetiology of common complex traits such as Type 2 diabetes (T2D). Here we perform genome-wide methylated DNA immunoprecipitation sequencing (MeDIP-seq) in whole-blood-derived DNA from 27 monozygotic twin pairs and follow up results with replication and integrated omics analyses. We identify predominately hypermethylated T2D-related differentially methylated regions(DMRs) and replicate the top signals in 42 unrelated T2D cases and 221 controls. The strongest signal is in the promoter of the MALT1 gene, involved in insulin and glycaemic pathways, and related to taurocholate levels in blood. Integrating the DNA methylome findings with T2D GWAS meta-analysis results reveals a strong enrichment for DMRs in T2D-susceptibility loci. We also detect signals specific to T2D-discordant twins in the GPR61 and PRKCB genes. These replicated T2D associations reflect both likely causal and consequential pathways of the disease. The analysis indicates how an integrated genomics and epigenomics approach, utilizing an MZ twin design, can provide pathogenic insights as well as potential drug targets and biomarkers for T2D and other complex traits.
dc.format.extent7 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec662750
dc.identifier.issn2041-1723
dc.identifier.pmid25502755
dc.identifier.urihttps://hdl.handle.net/2445/125747
dc.language.isoeng
dc.publisherNature Publishing Group
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1038/ncomms6719
dc.relation.ispartofNature Communications, 2014, vol. 2014, num. 5, p. 5719
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/250157/EU//EPITWIN
dc.relation.urihttps://doi.org/10.1038/ncomms6719
dc.rightscc-by (c) Yuan, Wei et al., 2014
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.sourceArticles publicats en revistes (Ciències Fisiològiques)
dc.subject.classificationEpigenètica
dc.subject.classificationDiabetis
dc.subject.classificationBessons
dc.subject.otherEpigenetics
dc.subject.otherDiabetes
dc.subject.otherTwins
dc.titleAn integrated epigenomic analysis for type 2 diabetes susceptibility loci in monozygotic twins
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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