Cheng-Xiao Jiang, Wei-Qi Yin, Jing-Jing Xu, Ying-Jiao Shi, Li Wang, Zhi-Bo Zheng, Rui Su, Qin-Bo Hu, Jun-Hai Qian, Shu-Ben Sun
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引用次数: 0
Abstract
Objective: To investigate the causal correlation between depression and stress urinary incontinence (SUI) using Mendelian randomization (MR) analysis.
Methods: We searched the FinnGen Consortium database for genome-wide association studies (GWAS) on depression and obtained 23 424 case samples and 192 220 control samples, with the GWAS data on SUI provided by the UK Biobank, including 4 340 case samples and 458 670 control samples. We investigated the correlation between depression and SUI based on the depression data collected from the Psychiatric Genomics Consortium (PGC). We employed inverse-variance weighting as the main method for the MR study, and performed sensitivity analysis to verify the accuracy and stability of the findings.
Results: Analysis of the data from the UK Biobank and FinnGen Consortium showed that depression was significantly correlated with an increased risk of SUI (P=0.005), but not SUI with the risk of depression (P=0.927). And analysis of the PGC data verified the correlation of depression with the increased risk of SUI (P=0.043).
Conclusion: Depression is associated with an increased risk of SUI, while SUI does not increase the risk of depression.
目的:采用孟德尔随机分析法研究抑郁症与压力性尿失禁之间的因果关系:采用孟德尔随机分析法(MR)研究抑郁症与压力性尿失禁(SUI)之间的因果关系:我们在 FinnGen Consortium 数据库中搜索了有关抑郁症的全基因组关联研究(GWAS),获得了 23 424 个病例样本和 192 220 个对照样本,英国生物库提供了有关 SUI 的 GWAS 数据,包括 4 340 个病例样本和 458 670 个对照样本。我们根据精神病基因组学联盟(PGC)收集的抑郁症数据,研究了抑郁症与 SUI 之间的相关性。我们采用反方差加权法作为 MR 研究的主要方法,并进行了敏感性分析,以验证研究结果的准确性和稳定性:结果:对英国生物库和芬兰基因联盟数据的分析表明,抑郁症与 SUI 风险的增加显著相关(P=0.005),但 SUI 与抑郁症的风险无关(P=0.927)。对 PGC 数据的分析验证了抑郁症与 SUI 风险增加的相关性(P=0.043):结论:抑郁症与 SUI 风险增加有关,而 SUI 不会增加抑郁症的风险。
期刊介绍:
National journal of andrology was founded in June 1995. It is a core journal of andrology and reproductive medicine, published monthly, and is publicly distributed at home and abroad. The main columns include expert talks, monographs (basic research, clinical research, evidence-based medicine, traditional Chinese medicine), reviews, clinical experience exchanges, case reports, etc. Priority is given to various fund-funded projects, especially the 12th Five-Year National Support Plan and the National Natural Science Foundation funded projects. This journal is included in about 20 domestic databases, including the National Science and Technology Paper Statistical Source Journal (China Science and Technology Core Journal), the Source Journal of the China Science Citation Database, the Statistical Source Journal of the China Academic Journal Comprehensive Evaluation Database (CAJCED), the Full-text Collection Journal of the China Journal Full-text Database (CJFD), the Overview of the Chinese Core Journals (2017 Edition), and the Source Journal of the Top Academic Papers of China's Fine Science and Technology Journals (F5000). It has been included in the full text of the American Chemical Abstracts, the American MEDLINE, the American EBSCO, and the database.