PDF(Pubmed)
Abstract：
UNASSIGNED: Major depressive disorder (MDD) and venous thromboembolism (VTE) may be linked in observational studies. However, the causal association remains ambiguous. Therefore, this study investigates the causal associations between them.
UNASSIGNED: We performed a two-sample univariable and multivariable bidirectional Mendelian randomization (MR) analysis to evaluate the associations between MDD and VTE. The summary genetic associations of MDD statistics were obtained from the Psychiatric Genomics Consortium and UK Biobank. Information on VTE, deep vein thrombosis (DVT), and pulmonary embolism (PE) were obtained from the FinnGen Biobank. Inverse-variance weighting was used as the main analysis method. Other methods include weighted median, MR-Egger, Simple mode, and Weighted mode.
UNASSIGNED: Univariable MR analysis revealed no significant associations between MDD and VTE risk (odds ratio (OR): 0.936, 95% confidence interval (CI): 0.736-1.190, p = 0.590); however, after adjusting the potential relevant polymorphisms of body mass index and education, the multivariable MR analysis showed suggestive evidence of association between them (OR: 1.163, 95% CI: 1.004-1.346, p = 0.044). Univariable MR analysis also revealed significant associations between MDD and PE risk (OR: 1.310, 95% CI: 1.073-1.598, p = 0.008), but the association between them was no longer significant in MVMR analysis (p = 0.072). We found no significant causal effects between MDD and DVT risk in univariable or multivariable MR analyses. There was also no clear evidence showing the causal effects between VTE, PE, or DVT and MDD risk.
UNASSIGNED: We provide suggestive genetic evidence to support the causal association between MDD and VTE risk. No causal associations were observed between VTE, PE, or DVT and MDD risk. Further validation of these associations and investigations of potential mechanisms are required.
UNASSIGNED: We performed a two-sample univariable and multivariable bidirectional Mendelian randomization (MR) analysis to evaluate the associations between MDD and VTE. The summary genetic associations of MDD statistics were obtained from the Psychiatric Genomics Consortium and UK Biobank. Information on VTE, deep vein thrombosis (DVT), and pulmonary embolism (PE) were obtained from the FinnGen Biobank. Inverse-variance weighting was used as the main analysis method. Other methods include weighted median, MR-Egger, Simple mode, and Weighted mode.
UNASSIGNED: Univariable MR analysis revealed no significant associations between MDD and VTE risk (odds ratio (OR): 0.936, 95% confidence interval (CI): 0.736-1.190, p = 0.590); however, after adjusting the potential relevant polymorphisms of body mass index and education, the multivariable MR analysis showed suggestive evidence of association between them (OR: 1.163, 95% CI: 1.004-1.346, p = 0.044). Univariable MR analysis also revealed significant associations between MDD and PE risk (OR: 1.310, 95% CI: 1.073-1.598, p = 0.008), but the association between them was no longer significant in MVMR analysis (p = 0.072). We found no significant causal effects between MDD and DVT risk in univariable or multivariable MR analyses. There was also no clear evidence showing the causal effects between VTE, PE, or DVT and MDD risk.
UNASSIGNED: We provide suggestive genetic evidence to support the causal association between MDD and VTE risk. No causal associations were observed between VTE, PE, or DVT and MDD risk. Further validation of these associations and investigations of potential mechanisms are required.
摘要：
■在观察性研究中，重度抑郁症（MDD）和静脉血栓栓塞症（VTE）可能存在联系。然而,因果关系仍然模棱两可。因此,这项研究调查了它们之间的因果关系.
■我们进行了双样本单变量和多变量双向孟德尔随机化（MR）分析，以评估MDD和VTE之间的关联。MDD统计的遗传关联摘要来自精神病学基因组学联盟和英国生物库。关于VTE的信息，深静脉血栓形成(DVT),和肺栓塞（PE）从FinnGen生物库获得。采用逆方差加权作为主要分析方法。其他方法包括加权中位数，MR-Egger,简单模式，和加权模式。
■单变量MR分析显示MDD和VTE风险之间没有显着关联（比值比（OR）：0.936，95％置信区间（CI）：0.736-1.190，p=0.590）；然而，在调整体重指数和教育的潜在相关多态性后，多变量MR分析显示了它们之间的相关性(OR:1.163,95%CI:1.004-1.346,p=0.044).单变量MR分析还显示MDD与PE风险之间存在显着关联（OR：1.310，95％CI：1.073-1.598，p=0.008），但它们之间的关联在MVMR分析中不再显著(p=0.072).在单变量或多变量MR分析中，我们发现MDD和DVT风险之间没有显著的因果关系。也没有明确的证据表明VTE之间的因果关系，PE,或DVT和MDD风险。
■我们提供了暗示性遗传证据来支持MDD和VTE风险之间的因果关系。VTE之间没有观察到因果关系，PE,或DVT和MDD风险。需要对这些关联进行进一步验证，并对潜在机制进行调查。
■我们进行了双样本单变量和多变量双向孟德尔随机化（MR）分析，以评估MDD和VTE之间的关联。MDD统计的遗传关联摘要来自精神病学基因组学联盟和英国生物库。关于VTE的信息，深静脉血栓形成(DVT),和肺栓塞（PE）从FinnGen生物库获得。采用逆方差加权作为主要分析方法。其他方法包括加权中位数，MR-Egger,简单模式，和加权模式。
■单变量MR分析显示MDD和VTE风险之间没有显着关联（比值比（OR）：0.936，95％置信区间（CI）：0.736-1.190，p=0.590）；然而，在调整体重指数和教育的潜在相关多态性后，多变量MR分析显示了它们之间的相关性(OR:1.163,95%CI:1.004-1.346,p=0.044).单变量MR分析还显示MDD与PE风险之间存在显着关联（OR：1.310，95％CI：1.073-1.598，p=0.008），但它们之间的关联在MVMR分析中不再显著(p=0.072).在单变量或多变量MR分析中，我们发现MDD和DVT风险之间没有显著的因果关系。也没有明确的证据表明VTE之间的因果关系，PE,或DVT和MDD风险。
■我们提供了暗示性遗传证据来支持MDD和VTE风险之间的因果关系。VTE之间没有观察到因果关系，PE,或DVT和MDD风险。需要对这些关联进行进一步验证，并对潜在机制进行调查。
