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Cited by 341

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis

Open access
Ishigaki, Kazuyoshi, Sakaue, Saori, Terao, Chikashi, Luo, Yang, Sonehara, Kyuto, Yamaguchi, Kensuke, Amariuta, Tiffany, Too, Chun Lai, Laufer, Vincent A., Scott, Ian C., Viatte, Sebastien, Takahashi, Meiko, Ohmura, Koichiro, Murasawa, Akira, Hashimoto, Motomu, Ito, Hiromu, Hammoudeh, Mohammed, Emadi, Samar Al, Masri, Basel K., Halabi, Hussein, Badsha, Humeira, Uthman, Imad W., Wu, Xin, Lin, Li, Li, Ting, Plant, Darren, Barton, Anne, Orozco, Gisela, Verstappen, Suzanne M. M., Bowes, John, MacGregor, Alexander J., Honda, Suguru, Koido, Masaru, Tomizuka, Kohei, Kamatani, Yoichiro, Tanaka, Hiroaki, Tanaka, Eiichi, Suzuki, Akari, Maeda, Yuichi, Yamamoto, Kenichi, Miyawaki, Satoru, Xie, Gang, Zhang, Jinyi, Amos, Christopher I., Keystone, Edward, Wolbink, Gertjan, van der Horst-Bruinsma, Irene, Cui, Jing, Liao, Katherine P., Carroll, Robert J., Lee, Hye-Soon, Bang, So-Young, Siminovitch, Katherine A., de Vries, Niek, Alfredsson, Lars, Rantapää-Dahlqvist, Solbritt, Karlson, Elizabeth W., Bae, Sang-Cheol, Kimberly, Robert P., Edberg, Jeffrey C., Mariette, Xavier, Huizinga, Tom, Dieudé, Philippe, Schneider, Matthias, Kerick, Martin, Denny, Joshua C., The BioBank Japan Project, Matsuda, Koichi, Matsuo, Keitaro, Mimori, Tsuneyo, Matsuda, Fumihiko, Fujio, Keishi, Tanaka, Yoshiya, Kumanogoh, Atsushi, Traylor, Matthew, Lewis, Cathryn M., Eyre, Stephen, Xu, Huji, Saxena, Richa, Arayssi, Thurayya, Kochi, Yuta, Ikari, Katsunori, Harigai, Masayoshi, Gregersen, Peter K., Yamamoto, Kazuhiko, Louis Bridges, S., Padyukov, Leonid, Martin, Javier, Klareskog, Lars, Okada, Yukinori, Raychaudhuri, Soumya·2022·Nature Genetics
DOI 10.1038/s41588-022-01213-w
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Abstract

Rheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P < 5 × 10−8), of which 34 are novel. Candidate genes at the novel loci suggest essential roles of the immune system (for example, TNIP2 and TNFRSF11A) and joint tissues (for example, WISP1) in RA etiology. Multi-ancestry fine-mapping identified putatively causal variants with biological insights (for example, LEF1). Moreover, PRS based on multi-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between populations of European and East Asian ancestries. Our study provides several insights into the etiology of RA and improves the genetic predictability of RA. Multi-ancestry genome-wide association analyses identify 124 risk loci for rheumatoid arthritis, of which 34 are novel. A polygenic risk score based on multi-ancestry data showed comparable performance between populations of European and East Asian ancestries.

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Authors
Ishigaki, K., Sakaue, S., Terao, C., Luo, Y., Sonehara, K., Yamaguchi, K., Amariuta, T., Too, C. L., Laufer, V. A., Scott, I. C., Viatte, S., Takahashi, M., Ohmura, K., Murasawa, A., Hashimoto, M., Ito, H., Hammoudeh, M., Emadi, S. A., Masri, B. K., Halabi, H., Badsha, H., Uthman, I. W., Wu, X., Lin, L., Li, T., Plant, D., Barton, A., Orozco, G., Verstappen, S. M. M., Bowes, J., MacGregor, A. J., Honda, S., Koido, M., Tomizuka, K., Kamatani, Y., Tanaka, H., Tanaka, E., Suzuki, A., Maeda, Y., Yamamoto, K., Miyawaki, S., Xie, G., Zhang, J., Amos, C. I., Keystone, E., Wolbink, G., van der Horst-Bruinsma, I., Cui, J., Liao, K. P., Carroll, R. J., Lee, H.-S., Bang, S.-Y., Siminovitch, K. A., de Vries, N., Alfredsson, L., Rantapää-Dahlqvist, S., Karlson, E. W., Bae, S.-C., Kimberly, R. P., Edberg, J. C., Mariette, X., Huizinga, T., Dieudé, P., Schneider, M., Kerick, M., Denny, J. C., The BioBank Japan Project, Matsuda, K., Matsuo, K., Mimori, T., Matsuda, F., Fujio, K., Tanaka, Y., Kumanogoh, A., Traylor, M., Lewis, C. M., Eyre, S., Xu, H., Saxena, R., Arayssi, T., Kochi, Y., Ikari, K., Harigai, M., Gregersen, P. K., Yamamoto, K., Louis Bridges, S., Padyukov, L., Martin, J., Klareskog, L., Okada, Y., & Raychaudhuri, S.
Venue
Nature Genetics
Publisher
Springer Science and Business Media LLC
Published
2022-11
Volume
54
Issue
11
Pages
1640-1651
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
DOI
10.1038/s41588-022-01213-w
OpenAlex
W4308211464
Cited by
341
References
74
FWCI
37.96
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis. https://app.cochat.ai/papers/10.1038/s41588-022-01213-w
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Ishigaki, K., Sakaue, S., Terao, C., Luo, Y., Sonehara, K., Yamaguchi, K., Amariuta, T., Too, C. L., Laufer, V. A., Scott, I. C., Viatte, S., Takahashi, M., Ohmura, K., Murasawa, A., Hashimoto, M., Ito, H., Hammoudeh, M., Emadi, S. A., Masri, B. K., . . . Raychaudhuri, S. (2022). Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis. Nature Genetics. https://doi.org/10.1038/s41588-022-01213-w

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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