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中华腔镜泌尿外科杂志(电子版) ›› 2026, Vol. 20 ›› Issue (01) : 71 -76. doi: 10.3877/cma.j.issn.1674-3253.2026.01.010

临床研究

基于GWAS数据库的2型糖尿病与勃起功能障碍两样本孟德尔随机化分析
汤乘1, 瞿根义1, 阳光1, 徐勇1, 江伟民2,()   
  1. 1412007 湖南,中南大学湘雅医学院附属株洲医院泌尿外科
    2412007 湖南,中南大学湘雅医学院附属株洲医院护理部
  • 收稿日期:2025-01-17 出版日期:2026-02-01
  • 通信作者: 江伟民
  • 基金资助:
    湖南省科技创新计划(S2024JJQYLH0637)

Two-sample mendelian randomization analysis based on the GWAS database of type 2 diabetes mellitus and erectile dysfunction

Cheng Tang1, Genyi Qu1, Guang Yang1, Yong Xu1, Weimin Jiang2,()   

  1. 1Department of Urology, Zhuzhou Hospital Affiliated to XiangYa Medical College, Central South University, Zhuzhou 412007, China
    2Department of Nursing, Zhuzhou Hospital Affiliated to XiangYa Medical College, Central South University, Zhuzhou 412007, China
  • Received:2025-01-17 Published:2026-02-01
  • Corresponding author: Weimin Jiang
引用本文:

汤乘, 瞿根义, 阳光, 徐勇, 江伟民. 基于GWAS数据库的2型糖尿病与勃起功能障碍两样本孟德尔随机化分析[J/OL]. 中华腔镜泌尿外科杂志(电子版), 2026, 20(01): 71-76.

Cheng Tang, Genyi Qu, Guang Yang, Yong Xu, Weimin Jiang. Two-sample mendelian randomization analysis based on the GWAS database of type 2 diabetes mellitus and erectile dysfunction[J/OL]. Chinese Journal of Endourology(Electronic Edition), 2026, 20(01): 71-76.

目的

本研究基于全基因组关联研究(GWAS)数据库平台,使用R语言软件利用孟德尔随机化(MR)方法探讨2型糖尿病(T2DM)与勃起功能障碍(ED)之间的因果关系。

方法

从GWAS数据库平台下载开放的T2DM(ebi-a-GCST005047)和ED(ebi-a-GCST006956)基因组数据,筛选出有意义的工具变量(IVs),并通过R语言中的"TwoSampleMR"包采用逆方差加权(IVW)、加权中位数、MR-Egger回归和加权众数法进行两样本MR分析。

结果

从T2DM的GWAS数据集中筛选出24个显著的单核苷酸多态性作为IVs。IVW分析结果显示,T2DM和ED之间存在因果关系(OR=1.208,95%CI:1.088~1.340,P<0.001)。加权中位数方法则提供了T2DM与ED之间存在因果关系的证据(OR=1.254,95%CI:1.092~1.441,P=0.001)。MR-Egger回归分析结果显示,水平多效性对结果无显著影响(P=0.973)。Cochran's Q检验未显示异质性(P>0.05),漏斗图也未显示出不对称性,进一步证实了研究结果的可靠性。

结论

MR分析结果支持2型糖尿病可能与ED风险增加有因果关系。

Objective

Based on the genome-wide association study (GWAS) database, this study utilized R software to explore the causal association between type 2 diabetes mellitus (T2DM) and erectile dysfunction (ED).

Methods

Open genomic data for T2DM (ebi-a-GCST005047) and ED (ebi-a-GCST006956) were downloaded from the GWAS database. After selecting meaningful instrumental variables (IVs), two sample MR analysis was conducted to apply the "TwoSampleMR" package in R software by using inverse variance weighted (IVW), weighted median, MR-Egger regression and weighted mode method.

Results

We selected 24 significant single nucleotide polymorphisms as IVs from the GWAS dataset of T2DM. The IVW results revealed the causal association between T2DM and ED (OR=1.208, 95%CI: 1.088-1.340, P<0.001). The weighted median method provides evidence of a causal association between T2DM and ED (OR=1.254, 95%CI: 1.092-1.441, P=0.001). MR-Egger regression showed that horizontal pleiotropy was unlikely to affect the outcome (P=0.973). The Cochran's Q-test did not show heterogeneity (P>0.05), and the funnel plot did not show asymmetry, further confirming the credibility of the study.

Conclusion

The results of MR analysis support that T2DM may have a causal association with the increased risk of ED.

图1 两样本孟德尔随机化(MR)分析流程图
图2 与T2DM指数相关的SNP对ED因果效应的森林图注:红色点线的意义为MR-Egger分析和逆方差加权(IVW)法的MR结果
表1 T2DM与ED相关的24个SNP特征
图3 T2DM相关的SNP与ED相关的SNP关联性散点图
表2 T2DM和ED之间的因果效应MR分析结果
图4 T2DM与ED风险相关的"留一法"分析
图5 评估MR异质性的漏斗图
表3 使用MR方法对T2DM及ED的异质性分析结果
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