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A cross-population atlas of genetic associations for 220 human phenotypes

Open access
Sakaue, Saori, Kanai, Masahiro, Tanigawa, Yosuke, Karjalainen, Juha, Kurki, Mitja, Koshiba, Seizo, Narita, Akira, Konuma, Takahiro, Yamamoto, Kenichi, Akiyama, Masato, Ishigaki, Kazuyoshi, Suzuki, Akari, Suzuki, Ken, Obara, Wataru, Yamaji, Ken, Takahashi, Kazuhisa, Asai, Satoshi, Takahashi, Yasuo, Suzuki, Takao, Shinozaki, Nobuaki, Yamaguchi, Hiroki, Minami, Shiro, Murayama, Shigeo, Yoshimori, Kozo, Nagayama, Satoshi, Obata, Daisuke, Higashiyama, Masahiko, Masumoto, Akihide, Koretsune, Yukihiro, FinnGen, Ito, Kaoru, Terao, Chikashi, Yamauchi, Toshimasa, Komuro, Issei, Kadowaki, Takashi, Tamiya, Gen, Yamamoto, Masayuki, Nakamura, Yusuke, Kubo, Michiaki, Murakami, Yoshinori, Yamamoto, Kazuhiko, Kamatani, Yoichiro, Palotie, Aarno, Rivas, Manuel A., Daly, Mark J., Matsuda, Koichi, Okada, Yukinori·2021·Nature Genetics

Abstract

Current genome-wide association studies do not yet capture sufficient diversity in populations and scope of phenotypes. To expand an atlas of genetic associations in non-European populations, we conducted 220 deep-phenotype genome-wide association studies (diseases, biomarkers and medication usage) in BioBank Japan (n = 179,000), by incorporating past medical history and text-mining of electronic medical records. Meta-analyses with the UK Biobank and FinnGen (ntotal = 628,000) identified ~5,000 new loci, which improved the resolution of the genomic map of human traits. This atlas elucidated the landscape of pleiotropy as represented by the major histocompatibility complex locus, where we conducted HLA fine-mapping. Finally, we performed statistical decomposition of matrices of phenome-wide summary statistics, and identified latent genetic components, which pinpointed responsible variants and biological mechanisms underlying current disease classifications across populations. The decomposed components enabled genetically informed subtyping of similar diseases (for example, allergic diseases). Our study suggests a potential avenue for hypothesis-free re-investigation of human diseases through genetics. Genome-wide analyses in BioBank Japan, UK Biobank and FinnGen identify ~5,000 new loci associated with 220 human traits. Statistical decomposition of matrices of phenome-wide summary statistics further highlights variants underpinning diseases across populations.

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Metadata

Authors
Sakaue, S., Kanai, M., Tanigawa, Y., Karjalainen, J., Kurki, M., Koshiba, S., Narita, A., Konuma, T., Yamamoto, K., Akiyama, M., Ishigaki, K., Suzuki, A., Suzuki, K., Obara, W., Yamaji, K., Takahashi, K., Asai, S., Takahashi, Y., Suzuki, T., Shinozaki, N., Yamaguchi, H., Minami, S., Murayama, S., Yoshimori, K., Nagayama, S., Obata, D., Higashiyama, M., Masumoto, A., Koretsune, Y., FinnGen, Ito, K., Terao, C., Yamauchi, T., Komuro, I., Kadowaki, T., Tamiya, G., Yamamoto, M., Nakamura, Y., Kubo, M., Murakami, Y., Yamamoto, K., Kamatani, Y., Palotie, A., Rivas, M. A., Daly, M. J., Matsuda, K., & Okada, Y.
Venue
Nature Genetics
Published
2021-09-30
Volume
53
Issue
10
Pages
1415-1424
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W3202209876
Cited by
2,316
References
66
FWCI
160.26
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: A cross-population atlas of genetic associations for 220 human phenotypes. https://app.cochat.ai/papers/10.1038/s41588-021-00931-x
The paper
Sakaue, S., Kanai, M., Tanigawa, Y., Karjalainen, J., Kurki, M., Koshiba, S., Narita, A., Konuma, T., Yamamoto, K., Akiyama, M., Ishigaki, K., Suzuki, A., Suzuki, K., Obara, W., Yamaji, K., Takahashi, K., Asai, S., Takahashi, Y., Suzuki, T., . . . Okada, Y. (2021). A cross-population atlas of genetic associations for 220 human phenotypes. Nature Genetics. https://doi.org/10.1038/s41588-021-00931-x

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