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Whole exome sequencing analysis identifies genes for alcohol consumption

Author

Listed:
  • Jujiao Kang

    (Fudan University
    Ministry of Education)

  • Yue-Ting Deng

    (Fudan University)

  • Bang-Sheng Wu

    (Fudan University)

  • Wei-Shi Liu

    (Fudan University)

  • Ze-Yu Li

    (Fudan University
    Ministry of Education)

  • Shitong Xiang

    (Fudan University
    Ministry of Education)

  • Liu Yang

    (Fudan University)

  • Jia You

    (Fudan University
    Ministry of Education)

  • Xiaohong Gong

    (Fudan University)

  • Tianye Jia

    (Fudan University
    Ministry of Education
    King’s College London
    University of Southampton)

  • Jin-Tai Yu

    (Fudan University)

  • Wei Cheng

    (Fudan University
    Ministry of Education
    Fudan University
    Zhejiang Normal University)

  • Jianfeng Feng

    (Fudan University
    Ministry of Education
    Zhejiang Normal University
    University of Warwick)

Abstract

Alcohol consumption is a heritable behavior seriously endangers human health. However, genetic studies on alcohol consumption primarily focuses on common variants, while insights from rare coding variants are lacking. Here we leverage whole exome sequencing data across 304,119 white British individuals from UK Biobank to identify protein-coding variants associated with alcohol consumption. Twenty-five variants are associated with alcohol consumption through single variant analysis and thirteen genes through gene-based analysis, ten of which have not been reported previously. Notably, the two unreported alcohol consumption-related genes GIGYF1 and ANKRD12 show enrichment in brain function-related pathways including glial cell differentiation and are strongly expressed in the cerebellum. Phenome-wide association analyses reveal that alcohol consumption-related genes are associated with brain white matter integrity and risk of digestive and neuropsychiatric diseases. In summary, this study enhances the comprehension of the genetic architecture of alcohol consumption and implies biological mechanisms underlying alcohol-related adverse outcomes.

Suggested Citation

  • Jujiao Kang & Yue-Ting Deng & Bang-Sheng Wu & Wei-Shi Liu & Ze-Yu Li & Shitong Xiang & Liu Yang & Jia You & Xiaohong Gong & Tianye Jia & Jin-Tai Yu & Wei Cheng & Jianfeng Feng, 2024. "Whole exome sequencing analysis identifies genes for alcohol consumption," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50132-3
    DOI: 10.1038/s41467-024-50132-3
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