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Genetic influences on human blood metabolites in the Japanese population.
Iwasaki, Takeshi; Kamatani, Yoichiro; Sonomura, Kazuhiro; Kawaguchi, Shuji; Kawaguchi, Takahisa; Takahashi, Meiko; Ohmura, Koichiro; Sato, Taka-Aki; Matsuda, Fumihiko.
Afiliação
  • Iwasaki T; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
  • Kamatani Y; Department of Rheumatology and Clinical Immunology, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
  • Sonomura K; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
  • Kawaguchi S; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
  • Kawaguchi T; Life Science Research Center, Shimadzu Corporation, Kyoto 604-8511, Japan.
  • Takahashi M; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
  • Ohmura K; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
  • Sato TA; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
  • Matsuda F; Department of Rheumatology and Clinical Immunology, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.
iScience ; 26(1): 105738, 2023 Jan 20.
Article em En | MEDLINE | ID: mdl-36582826
ABSTRACT
An increase in ethnic diversity in genetic studies has the potential to provide unprecedented insights into how genetic variations influence human phenotypes. In this study, we conducted a quantitative trait locus (QTL) analysis of 121 metabolites measured using gas chromatography-mass spectrometry with plasma samples from 4,888 Japanese individuals. We found 60 metabolite-gene associations, of which 13 have not been previously reported. Meta-analyses with another Japanese and a European study identified six and two additional unreported loci, respectively. Genetic variants influencing metabolite levels were more enriched in protein-coding regions than in the regulatory regions while being associated with the risk of various diseases. Finally, we identified a signature of strong negative selection for uric acid ( S ˆ  = -1.53, p = 6.2 × 10-18). Our study expanded the knowledge of genetic influences on human blood metabolites, providing valuable insights into their physiological, pathological, and selective properties.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Japão