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Nature genetics · 2021

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

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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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

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты