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No causal effect between prostatitis and erectile dysfunction: Insights from a 2-sample bidirectional Mendelian
Xiaowei Dai1, Jiaguo Huang2, Hongxiang Ding2
1Department of Reproductive Medicine Center, The Second Norman Bethune Hospital of Jilin University, Changchun, China.
Medicine
|April 17, 2026
Summary
This study used Mendelian randomization to investigate the causal link between prostatitis and erectile dysfunction (ED). Findings indicate no clear genetic evidence for a causal relationship between these two common andrological conditions.
Area of Science:
- Andrology
- Genetics
- Epidemiology
Background:
- Prostatitis and erectile dysfunction (ED) are prevalent andrological conditions.
- Existing epidemiological data suggest an association between prostatitis and ED, but causality remains debated.
Purpose of the Study:
- To investigate the potential causal relationship between prostatitis and ED using Mendelian randomization (MR).
- To leverage publicly available genetic data for a robust genetic analysis.
Main Methods:
- A two-sample bidirectional Mendelian randomization (MR) analysis was performed using genetic data from the FinnGen consortium.
- Single-nucleotide polymorphisms (SNPs) served as instrumental variables. Primary analysis used the inverse variance weighted (IVW) method, with MR-Egger and weighted median methods for secondary analysis.
- Heterogeneity, pleiotropy, influential SNPs, and outliers were assessed using Cochran's Q-test, MR-Egger intercept, leave-one-out analysis, and MR-PRESSO, respectively.
Main Results:
- The inverse variance weighted (IVW) method showed no significant causal effect of prostatitis on ED (OR = 1.132, P = 0.199).
- Similarly, no significant causal effect of ED on prostatitis was detected (OR = 1.044, P = 0.311).
- Sensitivity analyses did not reveal significant causal links, supporting the primary findings.
Conclusions:
- This Mendelian randomization study found no clear evidence of a causal effect between prostatitis and erectile dysfunction in the European population based on genetic prediction.
- The findings suggest that the observed association may not be driven by a direct genetic causal pathway.
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