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Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases

  • Masahiro Kanai
  • , Masato Akiyama
  • , Atsushi Takahashi
  • , Nana Matoba
  • , Yukihide Momozawa
  • , Masashi Ikeda
  • , Nakao Iwata
  • , Shiro Ikegawa
  • , Makoto Hirata
  • , Koichi Matsuda
  • , Michiaki Kubo
  • , Yukinori Okada
  • , Yoichiro Kamatani

Research output: Contribution to journalArticlepeer-review

Abstract

Clinical measurements can be viewed as useful intermediate phenotypes to promote understanding of complex human diseases. To acquire comprehensive insights into the underlying genetics, here we conducted a genome-wide association study (GWAS) of 58 quantitative traits in 162,255 Japanese individuals. Overall, we identified 1,407 trait-associated loci (P < 5.0 × 10 -8 ), 679 of which were novel. By incorporating 32 additional GWAS results for complex diseases and traits in Japanese individuals, we further highlighted pleiotropy, genetic correlations, and cell-type specificity across quantitative traits and diseases, which substantially expands the current understanding of the associated genetics and biology. This study identified both shared polygenic effects and cell-type specificity, represented by the genetic links among clinical measurements, complex diseases, and relevant cell types. Our findings demonstrate that even without prior biological knowledge of cross-phenotype relationships, genetics corresponding to clinical measurements successfully recapture those measurements' relevance to diseases, and thus can contribute to the elucidation of unknown etiology and pathogenesis.

Original languageEnglish
Pages (from-to)390-400
Number of pages11
JournalNature Genetics
Volume50
Issue number3
DOIs
Publication statusPublished - 01-03-2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Genetics

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