Characterization of functional methylomes by next-generation capture sequencing identifies novel disease-associated variants

DC FieldValueLanguage
dc.contributor.authorAllum, Fiona-
dc.contributor.authorShao, Xiaojian-
dc.contributor.authorGuénard, Frédéric-
dc.contributor.authorSimon, Marie-Michelle-
dc.contributor.authorBusche, Stephan-
dc.contributor.authorCaron, Maxime-
dc.contributor.authorLambourn, John-
dc.contributor.authorLessard, Julie-
dc.contributor.authorTandre, Karolina-
dc.contributor.authorHedman, Asa K.-
dc.contributor.authorKwan, Tony-
dc.contributor.authorGe, Bing-
dc.contributor.authorRönnblom, Lars-
dc.contributor.authorMcCarthy, Mark I.-
dc.contributor.authorDeloukas, Panos-
dc.contributor.authorRichmond, Todd-
dc.contributor.authorBurgess, Daniel-
dc.contributor.authorSpector, T. D. (Timothy David)-
dc.contributor.authorTchernof, André-
dc.contributor.authorMarceau, Simon-
dc.contributor.authorLathrop, Mark-
dc.contributor.authorVohl, Marie-Claude-
dc.contributor.authorPastinen, Tomi-
dc.contributor.authorGrundberg, Elin-
dc.date.accessioned2020-10-07T17:53:28Z-
dc.date.available2020-10-07T17:53:28Z-
dc.date.issued2015-02-28-
dc.identifier.issn2041-1723fr
dc.identifier.urihttp://hdl.handle.net/20.500.11794/66730-
dc.description.abstractMost genome-wide methylation studies (EWAS) of multifactorial disease traits use targetedarrays or enrichment methodologies preferentially covering CpG-dense regions, tocharacterize sufficiently large samples. To overcome this limitation, we present here a newcustomizable, cost-effective approach, methylC-capture sequencing (MCC-Seq), forsequencing functional methylomes, while simultaneously providing genetic variationinformation. To illustrate MCC-Seq, we use whole-genome bisulfite sequencing on adiposetissue (AT) samples and public databases to design AT-specific panels. We establish itsefficiency for high-density interrogation of methylome variability by systematic comparisonswith other approaches and demonstrate its applicability by identifying novel methylationvariation within enhancers strongly correlated to plasma triglyceride and HDL-cholesterol,including atCD36. Our more comprehensive AT panel assesses tissue methylation andgenotypes in parallel atB4 andB3 M sites, respectively. Our study demonstrates thatMCC-Seq provides comparable accuracy to alternative approaches but enables more efficientcataloguing of functional and disease-relevant epigenetic and genetic variants for large-scale EWAS.fr
dc.languageengfr
dc.publisherNature Publishing Groupfr
dc.titleCharacterization of functional methylomes by next-generation capture sequencing identifies novel disease-associated variantsfr
dc.typeCOAR1_1::Texte::Périodique::Revue::Contribution à un journal::Article::Article de recherchefr
dcterms.bibliographicCitationNature Communications, Vol. 6, 7211-7221 (2015)fr
dc.identifier.doi10.1038/ncomms8211fr
dc.identifier.pubmed26021296fr
dc.subject.rvmADN -- Méthylationfr
dc.subject.rvmTissu adipeuxfr
dc.subject.rvmPolymorphisme de nucléotide simplefr
dc.subject.rvmTriglycéridesfr
dc.subject.rvmLipoprotéines de haute densitéfr
rioxxterms.versionVersion of Recordfr
rioxxterms.version_of_recordhttps://doi.org/10.1038/ncomms8211fr
rioxxterms.project.funder_nameCanadian Institutes of Health Researchfr
rioxxterms.project.funder_nameWellcome Trustfr
rioxxterms.project.funder_nameEuropean Community’s Seventh Framework Programmefr
rioxxterms.project.funder_nameNational Institute for Health Researchfr
ali.license_refAttribution CC BYfr
ali.license_ref.start_date2020-07-31fr
bul.rights.periodeEmbargo0 moisfr
Collection:Articles publiés dans des revues avec comité de lecture

Files in this item:
Description SizeFormat 
Allum_2015.pdf494.76 kBAdobe PDFThumbnail
View/Open
All documents in CorpusUL are protected by Copyright Act of Canada.