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孟德尔随机化分析方法在非酒精性脂肪性肝病病因探索中的应用

郭紫薇 武庆娟 叶永安 陈兰羽 吕文良

引用本文:
Citation:

孟德尔随机化分析方法在非酒精性脂肪性肝病病因探索中的应用

DOI: 10.12449/JCH240325
基金项目: 

中国中医科学院科技创新工程 (CI2021A00801);

中国中医科学院科技创新工程 (CI2021A00802)

利益冲突声明:本文不存在任何利益冲突。
作者贡献声明:郭紫薇参与选题,撰写论文;武庆娟参与检索文献,数据提取,修改论文;叶永安、陈兰羽、吕文良负责拟定写作思路,指导撰写文章并最后定稿。
详细信息
    通信作者:

    吕文良, lvwenliang@sohu.com (ORCID: 0000-0002-6866-4394)

Application of Mendelian randomization analysis in exploring the etiology of nonalcoholic fatty liver disease

Research funding: 

Science and Technology Innovation Project of the Chinese Academy of Traditional Chinese Medicine (CI2021A00801);

Science and Technology Innovation Project of the Chinese Academy of Traditional Chinese Medicine (CI2021A00802)

More Information
  • 摘要: 非酒精性脂肪性肝病(NAFLD)是以肝内脂质大量堆积为特点的肝脂质代谢异常类疾病,是目前世界范围内最常见的肝脏疾病。孟德尔随机化(MR)将基因组数据纳入传统的流行病学研究设计中,以推断暴露因素与疾病风险之间的因果关系。近年来,MR在NAFLD的病因推断研究中得到了较为广泛的应用,本文将系统总结MR在NAFLD研究中的应用进展,为认识疾病本质和科学化干预提供新思路。

     

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出版历程
  • 收稿日期:  2023-06-28
  • 录用日期:  2023-07-20
  • 出版日期:  2024-03-20
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