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Genome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis

OBJECTIVE: 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. M...

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Detalles Bibliográficos
Autores principales: Kwon, Young-Chang, Lim, Jiwoo, Bang, So-Young, Ha, Eunji, Hwang, Mi Yeong, Yoon, Kyungheon, Choe, Jung-Yoon, Yoo, Dae-Hyun, Lee, Shin-Seok, Lee, Jisoo, Chung, Won Tae, Kim, Tae-Hwan, Sung, Yoon-Kyoung, Shim, Seung-Cheol, Choi, Chan-Bum, Jun, Jae-Bum, Kang, Young Mo, Shin, Jung-Min, Lee, Yeon-Kyung, Cho, Soo-Kyung, Kim, Bong-Jo, Lee, Hye-Soon, Kim, Kwangwoo, Bae, Sang-Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569386/
https://www.ncbi.nlm.nih.gov/pubmed/32723749
http://dx.doi.org/10.1136/annrheumdis-2020-217663
Descripción
Sumario:OBJECTIVE: 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.