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Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases.
Nature Genetics ( IF 31.7 ) Pub Date : 2020-06-08 , DOI: 10.1038/s41588-020-0640-3
Kazuyoshi Ishigaki 1, 2, 3, 4 , Masato Akiyama 1, 5 , Masahiro Kanai 1, 4, 6 , Atsushi Takahashi 1, 7 , Eiryo Kawakami 8, 9, 10 , Hiroki Sugishita 9 , Saori Sakaue 1, 11, 12 , Nana Matoba 1, 13 , Siew-Kee Low 1, 14 , Yukinori Okada 1, 11, 15, 16 , Chikashi Terao 17 , Tiffany Amariuta 2, 3, 4, 6, 18 , Steven Gazal 4, 19 , Yuta Kochi 20, 21 , Momoko Horikoshi 22 , Ken Suzuki 1, 11, 22, 23 , Kaoru Ito 24 , Satoshi Koyama 24 , Kouichi Ozaki 25 , Shumpei Niida 25 , Yasushi Sakata 26 , Yasuhiko Sakata 27 , Takashi Kohno 28 , Kouya Shiraishi 28 , Yukihide Momozawa 29 , Makoto Hirata 30 , Koichi Matsuda 31 , Masashi Ikeda 32 , Nakao Iwata 32 , Shiro Ikegawa 33 , Ikuyo Kou 33 , Toshihiro Tanaka 34, 35 , Hidewaki Nakagawa 36 , Akari Suzuki 20 , Tomomitsu Hirota 37 , Mayumi Tamari 37 , Kazuaki Chayama 38 , Daiki Miki 38 , Masaki Mori 39 , Satoshi Nagayama 40 , Yataro Daigo 41, 42 , Yoshio Miki 43 , Toyomasa Katagiri 44 , Osamu Ogawa 45 , Wataru Obara 46 , Hidemi Ito 47, 48 , Teruhiko Yoshida 49 , Issei Imoto 50, 51, 52 , Takashi Takahashi 53 , Chizu Tanikawa 54 , Takao Suzuki 55 , Nobuaki Sinozaki 55 , Shiro Minami 56 , Hiroki Yamaguchi 57 , Satoshi Asai 58, 59 , Yasuo Takahashi 59 , Ken Yamaji 60 , Kazuhisa Takahashi 61 , Tomoaki Fujioka 46 , Ryo Takata 46 , Hideki Yanai 62 , Akihide Masumoto 63 , Yukihiro Koretsune 64 , Hiromu Kutsumi 65 , Masahiko Higashiyama 66 , Shigeo Murayama 67 , Naoko Minegishi 68 , Kichiya Suzuki 68 , Kozo Tanno 69 , Atsushi Shimizu 69 , Taiki Yamaji 70 , Motoki Iwasaki 70 , Norie Sawada 70 , Hirokazu Uemura 71, 72 , Keitaro Tanaka 73 , Mariko Naito 74, 75 , Makoto Sasaki 69 , Kenji Wakai 74 , Shoichiro Tsugane 76 , Masayuki Yamamoto 68 , Kazuhiko Yamamoto 20 , Yoshinori Murakami 77 , Yusuke Nakamura 78 , Soumya Raychaudhuri 2, 3, 4, 6, 79 , Johji Inazawa 80, 81 , Toshimasa Yamauchi 23 , Takashi Kadowaki 23 , Michiaki Kubo 82 , Yoichiro Kamatani 1, 83
Affiliation  

The overwhelming majority of participants in current genetic studies are of European ancestry. To elucidate disease biology in the East Asian population, we conducted a genome-wide association study (GWAS) with 212,453 Japanese individuals across 42 diseases. We detected 320 independent signals in 276 loci for 27 diseases, with 25 novel loci (P < 9.58 × 10−9). East Asian–specific missense variants were identified as candidate causal variants for three novel loci, and we successfully replicated two of them by analyzing independent Japanese cohorts; p.R220W of ATG16L2 (associated with coronary artery disease) and p.V326A of POT1 (associated with lung cancer). We further investigated enrichment of heritability within 2,868 annotations of genome-wide transcription factor occupancy, and identified 378 significant enrichments across nine diseases (false discovery rate < 0.05) (for example, NKX3-1 for prostate cancer). This large-scale GWAS in a Japanese population provides insights into the etiology of complex diseases and highlights the importance of performing GWAS in non-European populations.



中文翻译:

在日本人群中进行的大规模全基因组关联研究确定了跨不同疾病的新型易感基因座。

当前遗传学研究的绝大多数参与者都来自欧洲。为了阐明东亚人群的疾病生物学,我们对212,453名日本人进行了42种疾病的全基因组关联研究(GWAS)。我们在276个基因座中检测到320个独立信号,涉及27种疾病,其中25个是新的基因座(P  <9.58×10 -9)。东亚特定的错义变体被确定为三个新基因座的候选因果变体,我们通过分析独立的日本队列成功地复制了其中两个。ATG16L2的p.R220W(与冠状动脉疾病相关)和POT1的p.V326A(与肺癌有关)。我们进一步调查了全基因组转录因子占用的2868个注释中的遗传力富集,并确定了九种疾病的378个显着富集(错误发现率<0.05)(例如,前列腺癌的NKX3-1)。日本人群中的这种大型GWAS提供了对复杂疾病的病因学的见识,并强调了在非欧洲人群中进行GWAS的重要性。

更新日期:2020-06-08
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