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
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。
Application of Mendelian randomization analysis in exploring the etiology of nonalcoholic fatty liver disease
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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。Abstract: Nonalcoholic fatty liver disease (NAFLD) is an abnormal lipid metabolic disorder of the liver characterized by accumulation of a large amount of lipids in the liver, and it is currently the most common liver disease around the world. Mendelian randomization (MR) incorporates genomic data into traditional epidemiological study designs to infer the causal relationship between exposure factors and disease risk. In recent years, MR has been widely used in studies on inference of the etiology of NAFLD. This article systematically summarizes the advances in the application of MR in NAFLD research, so as to provide new ideas for understanding the nature of the disease and scientific interventions.
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