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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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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 |
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author | 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 |
author_facet | 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 |
author_sort | Kwon, Young-Chang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7569386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75693862020-10-20 Genome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis 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 Ann Rheum Dis 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. 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. BMJ Publishing Group 2020-11 2020-07-28 /pmc/articles/PMC7569386/ /pubmed/32723749 http://dx.doi.org/10.1136/annrheumdis-2020-217663 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Rheumatoid Arthritis 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 Genome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis |
title | Genome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis |
title_full | Genome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis |
title_fullStr | Genome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis |
title_full_unstemmed | Genome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis |
title_short | Genome-wide association study in a Korean population identifies six novel susceptibility loci for rheumatoid arthritis |
title_sort | genome-wide association study in a korean population identifies six novel susceptibility loci for rheumatoid arthritis |
topic | Rheumatoid Arthritis |
url | 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 |
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