Wu Shihao, He Yuhong, Li Jiaxing, Wang Sijie
Guangdong Medical University, Zhanjiang, China.
Hepatobiliary Surgery Laboratory, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Front Genet. 2024 Nov 19;15:1414835. doi: 10.3389/fgene.2024.1414835. eCollection 2024.
This study aimed to explore the potential causal association between waist-to-hip ratio (WHR) and the risk of non-alcoholic fatty liver disease (NAFLD) via the Mendelian randomization (MR) approach.
Genetic variation data pertaining to WHR served as instrumental variables, while genome-wide association study data for NAFLD constituted the outcome event. Primarily, the random-effects inverse-variance weighted (IVW) method was utilized, supplemented by MR Egger, weighted median, simple mode, and weighted mode analyses. Sensitivity analysis entailed the "leave-one-out" approach, with the IVW results forming the foundational basis for this study.
This analysis included a total of 28 valid single nucleotide polymorphisms (SNPs). IVW analysis indicated an increased risk of NAFLD associated with WHR (OR = 1.61; 95% CI: 1.08-2.41; P = 0.02). Furthermore, MR-Egger regression analysis revealed the absence of horizontal pleiotropy among the included SNPs, albeit with some sample heterogeneity. Lastly, the "leave-one-out" sensitivity analysis demonstrated that no individual SNP significantly influenced the estimated causal association.
This study furnishes indicative evidence of a causal link between waist-to-hip ratio and the risk of NAFLD occurrence.
本研究旨在通过孟德尔随机化（MR）方法探讨腰臀比（WHR）与非酒精性脂肪性肝病（NAFLD）风险之间的潜在因果关联。
将与WHR相关的基因变异数据作为工具变量，而NAFLD的全基因组关联研究数据作为结局事件。主要采用随机效应逆方差加权（IVW）方法，并辅以MR Egger、加权中位数、简单模式和加权模式分析。敏感性分析采用“留一法”，IVW结果构成本研究的基础。
该分析共纳入28个有效的单核苷酸多态性（SNP）。IVW分析表明，与WHR相关的NAFLD风险增加（OR = 1.61；95%CI：1.08 - 2.41；P = 0.02）。此外，MR-Egger回归分析显示纳入的SNP之间不存在水平多效性，尽管存在一些样本异质性。最后，“留一法”敏感性分析表明，没有单个SNP对估计的因果关联有显著影响。
本研究提供了腰臀比与NAFLD发生风险之间存在因果联系的指示性证据。
