Affiliation:
1. Shanghai Tenth People's Hospital
2. Changhai Hospital
3. Shanghai Skin Disease Hospital
4. Shanghai Chest Hospital
5. Guangdong Provincial People's Hospital
Abstract
Abstract
Background
In previous observational studies, the association between type 2 diabetes and prostate cancer risk has been reported, but remained controversial. The causality is still unclear. We intended to evaluate the causal effect of type 2 diabetes on prostate cancer by using a two-sample Mendelian randomization (MR) analysis.
Methods
The summary statistics for type 2 diabetes were from Diagram Consortium with 69033 individuals and prostate cancer information from IEU OpenGWAS for a total of 463010 individuals. Under different model assumptions, MR analysis including inverse variance weighted, weighted median, MR-Egger regression, simple mode, and weighted mode were used to perform the causality effect. Sensitivity analysis was implemented by Cochran Q-test, MR-Egger regression, leave-one-out method, pleiotropic residual and outlier tests.
Results
No evidence for an causality effect of T2D on PCa risk was found in IVW (OR = 1.000, 95%CI = 0.999–1.001, 3.35, P = 0.560), MR-Egger regression method (OR = 1.005, 95%CI = 1.000-1.010, P = 0.107), weighted median method (OR = 1.001, 95%CI = 1.000-1.002, P = 0.187), simple mode (OR = 1.001, 95%CI = 0.999–1.003, P = 0.396) and weighted method (OR = 1.001, 95%CI = 0.999–1.003, P = 0.303). Cochran Q was obtained 0.750(MR Egger)and 0.524༈IVW༉, respectively, and no heterogeneity was observed. The MR-Egger regression has an intercept close to 0, with a P-value greater than 0.05 (Egger intercept = -0.006, P = 0.120).
Conclusions
A causal relationship between T2D and PCa risk were not supported in our MR results based on genetic data.
Publisher
Research Square Platform LLC