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Meta-analysis identifies nine new loci associated with rheumatoid arthritis in the Japanese population

Abstract

Rheumatoid arthritis is a common autoimmune disease characterized by chronic inflammation. We report a meta-analysis of genome-wide association studies (GWAS) in a Japanese population including 4,074 individuals with rheumatoid arthritis (cases) and 16,891 controls, followed by a replication in 5,277 rheumatoid arthritis cases and 21,684 controls. Our study identified nine loci newly associated with rheumatoid arthritis at a threshold of P < 5.0 × 10−8, including B3GNT2, ANXA3, CSF2, CD83, NFKBIE, ARID5B, PDE2A-ARAP1, PLD4 and PTPN2. ANXA3 was also associated with susceptibility to systemic lupus erythematosus (P = 0.0040), and B3GNT2 and ARID5B were associated with Graves' disease (P = 3.5 × 10−4 and 2.9 × 10−4, respectively). We conducted a multi-ancestry comparative analysis with a previous meta-analysis in individuals of European descent (5,539 rheumatoid arthritis cases and 20,169 controls). This provided evidence of shared genetic risks of rheumatoid arthritis between the populations.

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Figure 1: Manhattan plots of the GWAS meta-analysis for rheumatoid arthritis in the Japanese population.
Figure 2: Regional plots of the loci newly associated with rheumatoid arthritis at the genome-wide significance threshold of P < 5.0 × 10−8 in the combined study of the meta-analysis and the replication study.
Figure 3: Overlap of the associations with rheumatoid arthritis between Japanese and European populations.

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Acknowledgements

The authors acknowledge the essential role of the GARNET consortium in developing the study. In this study, the following GARNET members are included: CGM of RIKEN, University of Tokyo, the BioBank Japan Project, Kyoto University and IORRA. We would like to thank all the doctors and staff who participated in sample collection for the RIKEN cohort and the BioBank Japan Project. We thank K. Kobayashi and M. Kitazato for their technical assistance. We thank T. Raj for calculation of composite of multiple signals (CMS). We thank M. Kokubo for DNA extraction, GWAS genotyping and secretarial assistance. We would also like to thank H. Yoshifuji, N. Yukawa, D. Kawabata, T. Nojima, T. Usui and T. Fujii for collecting DNA samples. We thank Y. Katagiri for her technical efforts. We also appreciate the contribution of E. Inoue and other members of the Institute of Rheumatology, Tokyo Women's Medical University, for their efforts on the IORRA cohort. This study was supported in part by grants-in-aid from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan, the Ministry of Health, Labour and Welfare (MHLW) in Japan, the Japan Society for the Promotion of Science (JSPS), Core Research for Evolutional Science and Technology (CREST), Solution-Oriented Research for Science and Technology (SORST), INSERM and the Okawa Foundation for Information and Telecommunications.

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Y. Okada, C.T., K.I., Y. Kochi and K.O. designed the study and drafted the manuscript. Y. Okada, C.T., K.I., T.K., H.O., N.N., M.T., M.L., K. Tokunaga and M.K. managed genotyping and manipulation of GWAS data. Y. Okada, Y. Kochi, C.T. and K.I. managed genotyping of replication cohorts. Y. Okada, T.K., H.O., E.A.S., A. Takahashi and R.Y. performed statistical analysis. Y. Kochi, A.S., K. Myouzen, T. Sawada, Y. Nishoka, M.Y., T. Matsubara, S.W., R.T. and S.T. collected samples and managed phenotype data for the rheumatoid arthritis cohorts from the BioBank Japan Project and CGM, RIKEN. C.T., K.O., T.K., M.T., K. Takasugi, K.S., A.M., S.H., K. Matsuo, H. Tanaka, K. Tajima and M.L. collected samples and managed phenotype data for the rheumatoid arthritis cohorts from Kyoto University. K.I., T. Suzuki, T.I., Y. Kawamura, H. Tanii, Y. Okazaki and T. Sakaki collected samples and managed phenotype data for the rheumatoid arthritis cohorts from IORRA. Y. Kochi managed the data for the SLE and Graves' disease cohorts. A.S., C.T. and K.I. analyzed the sera of subjects with rheumatoid arthritis. E.A.S., F.A.S.K., P.K.G., J.W., K.A.S., L.P. and R.M.P. managed the data for the rheumatoid arthritis cohorts in European populations. A. Taniguchi, A. Takahashi, K. Tokunaga, M.K., Y. Nakamura, N.K., T. Minori, R.M.P., H.Y., S.M., R.Y., F.M. and K.Y. supervised the overall study.

Corresponding authors

Correspondence to Yuta Kochi or Koichiro Ohmura.

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The authors declare no competing financial interests.

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Supplementary Tables 1–6, Supplementary Figures 1–3 and Supplementary Note (PDF 552 kb)

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Okada, Y., Terao, C., Ikari, K. et al. Meta-analysis identifies nine new loci associated with rheumatoid arthritis in the Japanese population. Nat Genet 44, 511–516 (2012). https://doi.org/10.1038/ng.2231

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