Whole exome sequencing analysis identifies genes for alcohol consumption
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 () and
Jianfeng Feng ()
Additional contact information
Jujiao Kang: Fudan University
Yue-Ting Deng: Fudan University
Bang-Sheng Wu: Fudan University
Wei-Shi Liu: Fudan University
Ze-Yu Li: Fudan University
Shitong Xiang: Fudan University
Liu Yang: Fudan University
Jia You: Fudan University
Xiaohong Gong: Fudan University
Tianye Jia: Fudan University
Jin-Tai Yu: Fudan University
Wei Cheng: Fudan University
Jianfeng Feng: Fudan University
Nature Communications, 2024, vol. 15, issue 1, 1-15
Abstract:
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.
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50132-3
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DOI: 10.1038/s41467-024-50132-3
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