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
Application of Mendelian randomization analysis in exploring the etiology of nonalcoholic fatty liver disease
郭紫薇 1武庆娟 1叶永安 2陈兰羽 1吕文良1
作者信息
- 1. 中国中医科学院广安门医院感染疾病科,北京 100053
- 2. 北京中医药大学东直门医院脾胃科,北京 100700
- 折叠
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.
关键词
非酒精性脂肪性肝病/孟德尔随机化分析/因果律/工具变量Key words
Non-alcoholic Fatty Liver Disease/Mendelian Randomization Analysis/Causality/Instrumental Variables引用本文复制引用
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)
出版年
2024
国家科技期刊平台
NSTL
万方数据