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<p>Whole-genome sequence information currently available for large-scale sequencing studies is biased toward European descent populations. Such bias causes difficulties in identifying disease-associated genetic variations in non-European populations, including the Japanese. Here, to comprehensively identify genetic variants, we sequenced 3135 individuals representing the genetic diversity of the Japanese population. Of the 44,757,785 identified variants, 31.0% exhibiting a minor allele frequency of &lt;1% were novel. Using these variants, we constructed a reference haplotype and graph-structured reference sequence to facilitate accurate imputation and variant characterization. Our findings suggest that integrating genetic variations from ethnically diverse populations into the prevailing catalogs is essential to achieve precision medicine for all populations.</p>

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Whole-genome sequencing of 3135 individuals representing the genetic diversity of the Japanese population

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月8日

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  • Koichiro Higasa,
  • Yoichiro Kamatani,
  • Takahisa Kawaguchi,
  • Shuji Kawaguchi,
  • Saori Sakaue,
  • Ta-yu Yang,
  • Yukinori Okada,
  • Yukihide Momozawa,
  • Izumi Yamaguchi,
  • Dominic Nelson,
  • Simon Gravel,
  • Yoshinori Murakami,
  • Ryo Yamada,
  • Keitaro Matsuo,
  • Yoshihisa Yamano,
  • Changhoon Kim,
  • Jeong-sun Seo,
  • Michiaki Kubo,
  • Fumihiko Matsuda

摘要

Whole-genome sequence information currently available for large-scale sequencing studies is biased toward European descent populations. Such bias causes difficulties in identifying disease-associated genetic variations in non-European populations, including the Japanese. Here, to comprehensively identify genetic variants, we sequenced 3135 individuals representing the genetic diversity of the Japanese population. Of the 44,757,785 identified variants, 31.0% exhibiting a minor allele frequency of <1% were novel. Using these variants, we constructed a reference haplotype and graph-structured reference sequence to facilitate accurate imputation and variant characterization. Our findings suggest that integrating genetic variations from ethnically diverse populations into the prevailing catalogs is essential to achieve precision medicine for all populations.