Wang Yan, Shi Jian
Department of Nutrition, The Second Hospital of Hebei Medical University, Shijiazhuang 050 000, Hebei, China.
Br J Nutr. 2025 Apr 28;133(8):1107-1114. doi: 10.1017/S0007114525000704. Epub 2025 Apr 3.
Despite previous observational studies suggesting that malnutrition could be involved in venous thromboembolism (VTE), definitive causality still lacks high-quality research evidence. This study aims to explore the genetic causal association between malnutrition and VTE. The study was performed using summary statistics from genome-wide association studies for VTE (cases = 23 367; controls = 430 366). SNP associated with exposure was selected based on quality control steps. The primary analysis employed the inverse variance weighted (IVW) method, with additional support from Mendelian randomisation (MR)-Egger, weighted median and weighted mode approaches. MR-Egger, leave-one-SNP-out analysis and MR pleiotropy residual sum and outlier (MR-PRESSO) were used for sensitivity analysis. Cochran's Q test was used to assess heterogeneity between instrumental variables (IV). IVW suggested that overweight has a positive genetic causal effect on VTE (OR = 1·1344, 95 % CI = 1·056, 1·2186, < 0·001). No genetic causal effect of malnutrition (IVW: OR = 0·9983, 95 % CI = 0·9593, 1·0388, = 0·9333) was found on VTE. Cochran's Q test suggests no possible heterogeneity in both related exposures. The results of the MR-Egger regression suggest that the analysis is not affected by horizontal pleiotropy. The results of the MR-PRESSO suggest that there are no outliers. The results revealed a statistical genetic association where overweight correlates with an increased risk of VTE. Meanwhile, no genetic causal link was observed between malnutrition and VTE. Further research is warranted to deepen our understanding of these associations.
尽管先前的观察性研究表明营养不良可能与静脉血栓栓塞症（VTE）有关，但明确的因果关系仍缺乏高质量的研究证据。本研究旨在探讨营养不良与VTE之间的遗传因果关联。该研究使用了VTE全基因组关联研究的汇总统计数据（病例 = 23367；对照 = 430366）。基于质量控制步骤选择与暴露相关的单核苷酸多态性（SNP）。主要分析采用逆方差加权（IVW）方法，并得到孟德尔随机化（MR）-Egger、加权中位数和加权模式方法的额外支持。MR-Egger、逐一SNP剔除分析和MR多效性残差和离群值（MR-PRESSO）用于敏感性分析。 Cochr an Q检验用于评估工具变量（IV）之间的异质性。IVW表明超重对VTE有正向遗传因果效应（比值比[OR]=1.1344，95%置信区间[CI]=1.056，1.2186，P<0.001）。未发现营养不良对VTE有遗传因果效应（IVW：OR = 0.9983，95%CI = 0.9593，1.0388，P = 0.9333）。 Cochr an Q检验表明两种相关暴露均无可能的异质性。MR-Egger回归结果表明该分析不受水平多效性影响。MR-PRESSO结果表明没有离群值。结果揭示了一种统计学上的遗传关联，即超重与VTE风险增加相关。同时，未观察到营养不良与VTE之间存在遗传因果联系。有必要进行进一步研究以加深我们对这些关联的理解。
