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dc.contributor.author이지수-
dc.date.accessioned2020-12-03T16:30:23Z-
dc.date.available2020-12-03T16:30:23Z-
dc.date.issued2020-
dc.identifier.issn0003-4967-
dc.identifier.otherOAK-28192-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/255597-
dc.description.abstractObjective Genome-wide association studies (GWAS) in rheumatoid arthritis (RA) have discovered over 100 RA loci, explaining patient-relevant RA pathogenesis but showing a large fraction of missing heritability. As a continuous effort, we conducted GWAS in a large Korean RA case-control population. Methods We newly generated genome-wide variant data in two independent Korean cohorts comprising 4068 RA cases and 36 487 controls, followed by a whole-genome imputation and a meta-analysis of the disease association results in the two cohorts. By integrating publicly available omics data with the GWAS results, a series of bioinformatic analyses were conducted to prioritise the RA-risk genes in RA loci and to dissect biological mechanisms underlying disease associations. Results We identified six new RA-risk loci (SLAMF6, CXCL13, SWAP70, NFKBIA, ZFP36L1 and LINC00158) with p meta <5×10 -8 and consistent disease effect sizes in the two cohorts. A total of 122 genes were prioritised from the 6 novel and 13 replicated RA loci based on physical distance, regulatory variants and chromatin interaction. Bioinformatics analyses highlighted potentially RA-relevant tissues (including immune tissues, lung and small intestine) with tissue-specific expression of RA-associated genes and suggested the immune-related gene sets (such as CD40 pathway, IL-21-mediated pathway and citrullination) and the risk-allele sharing with other diseases. Conclusion This study identified six new RA-associated loci that contributed to better understanding of the genetic aetiology and biology in RA. © Author(s) (or their employer(s)) 2020.-
dc.languageEnglish-
dc.publisherBMJ Publishing Group-
dc.subjectarthritis-
dc.subjectautoimmune diseases-
dc.subjectgenetic-
dc.subjectpolymorphism-
dc.subjectrheumatoid-
dc.titleGenome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis-
dc.typeArticle-
dc.relation.issue11-
dc.relation.volume79-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.startpage1438-
dc.relation.lastpage1445-
dc.relation.journaltitleAnnals of the Rheumatic Diseases-
dc.identifier.doi10.1136/annrheumdis-2020-217663-
dc.identifier.wosidWOS:000580698100021-
dc.identifier.scopusid2-s2.0-85092944031-
dc.author.googleKwon Y.-C.-
dc.author.googleLim J.-
dc.author.googleBang S.-Y.-
dc.author.googleHa E.-
dc.author.googleHwang M.Y.-
dc.author.googleYoon K.-
dc.author.googleChoe J.-Y.-
dc.author.googleYoo D.-H.-
dc.author.googleLee S.-S.-
dc.author.googleLee J.-
dc.author.googleChung W.T.-
dc.author.googleKim T.-H.-
dc.author.googleSung Y.-K.-
dc.author.googleShim S.-C.-
dc.author.googleChoi C.-B.-
dc.author.googleJun J.-B.-
dc.author.googleKang Y.M.-
dc.author.googleShin J.-M.-
dc.author.googleLee Y.-K.-
dc.author.googleCho S.-K.-
dc.author.googleKim B.-J.-
dc.author.googleLee H.-S.-
dc.author.googleKim K.-
dc.author.googleBae S.-C.-
dc.contributor.scopusid이지수(14424388700)-
dc.date.modifydate20230201112642-
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의과대학 > 의학과 > Journal papers
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