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基于孟德尔随机化探讨酪氨酸水平与男性不育症的因果关系
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Abstract:
本研究旨在通过双样本孟德尔随机化分析，评估酪氨酸水平(tyrosine)对男性不育症(male infertility)的因果关系。采用基因组范围关联研究(GWAS)数据，筛选与酪氨酸水平相关的单核苷酸多态性(SNP)，并应用逆方差加权法(IVW)、MR-Egger回归、加权中位数法等多种方法进行分析。结果显示，酪氨酸水平每增加一个标准差，男性不育症的优势比(OR)为0.507 (95% CI: ？1.203~？0.154, P < 0.05)，表明较高的酪氨酸水平可能与降低男性不育症风险显著相关。敏感性分析结果进一步验证了主要分析的稳健性，未发现显著的异质性和水平多效性，表明所选工具变量适合用于因果推断。研究结果提示酪氨酸可能在男性生殖健康中发挥重要作用，为未来关于不育症的预防和治疗研究提供了新方向。
This study aims to assess the causal relationship between tyrosine levels and male infertility through two-sample Mendelian randomization analysis. Using genome-wide association study (GWAS) data, we identified single nucleotide polymorphisms (SNPs) associated with tyrosine levels and applied various methods, including inverse variance weighting (IVW), MR-Egger regression, and weighted median approaches for analysis. The results indicate that for each standard deviation increase in tyrosine levels, the odds ratio (OR) for male infertility is 0.507 (95% CI: ？1.203~？0.154, P < 0.05), suggesting that higher tyrosine levels may be significantly associated with a reduced risk of male infertility. Sensitivity analysis further confirmed the robustness of the primary analysis, showing no significant heterogeneity or horizontal pleiotropy, indicating that the selected instrumental variables are suitable for causal inference. These findings suggest that tyrosine may play an important role in male reproductive health and provide new directions for future research on infertility prevention and treatment.
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