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Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing

  • Xiaoxi Liu
  • , Satoshi Koyama
  • , Kohei Tomizuka
  • , Sadaaki Takata
  • , Yuki Ishikawa
  • , Shuji Ito
  • , Shunichi Kosugi
  • , Kunihiko Suzuki
  • , Keiko Hikino
  • , Masaru Koido
  • , Yoshinao Koike
  • , Momoko Horikoshi
  • , Takashi Gakuhari
  • , Shiro Ikegawa
  • , Kochi Matsuda
  • , Yukihide Momozawa
  • , Kaoru Ito
  • , Yoichiro Kamatani
  • , Chikashi Terao

研究成果: ジャーナルへの寄稿学術論文査読

抄録

We generated Japanese Encyclopedia of Whole-Genome/Exome Sequencing Library (JEWEL), a high-depth whole-genome sequencing dataset comprising 3256 individuals from across Japan. Analysis of JEWEL revealed genetic characteristics of the Japanese population that were not discernible using microarray data. First, rare variant–based analysis revealed an unprecedented fine-scale genetic structure. Together with population genetics analysis, the present-day Japanese can be decomposed into three ancestral components. Second, we identified unreported loss-of-function (LoF) variants and observed that for specific genes, LoF variants appeared to be restricted to a more limited set of transcripts than would be expected by chance, with PTPRD as a notable example. Third, we identified 44 archaic segments linked to complex traits, including a Denisovan-derived segment at NKX6-1 associated with type 2 diabetes. Most of these segments are specific to East Asians. Fourth, we identified candidate genetic loci under recent natural selection. Overall, our work provided insights into genetic characteristics of the Japanese population.

本文言語英語
論文番号eadi8419
ジャーナルScience advances
10
16
DOI
出版ステータス出版済み - 04-2024
外部発表はい

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

All Science Journal Classification (ASJC) codes

  • 一般

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