Letter to the Editor
Copyright ©The Author(s) 2024.
World J Diabetes. Jun 15, 2024; 15(6): 1367-1373
Published online Jun 15, 2024. doi: 10.4239/wjd.v15.i6.1367
Table 2 The commonly used mendelian randomization methods in the analysis of the relationship between diabetes mellitus and prostate cancer
Analytical method
Method name
Description
Application
Association analysisUnivariable MRUsing a single genetic variant as an instrumental variable to estimate the causal relationship between exposure and outcomeUtilizing specific SNPs associated with the development of DM to assess the risk of PCa in diabetic patients
Multivariable MRSimultaneously using multiple genetic variations as instrumental variables to consider the potential relationships among multiple exposuresUncovering potential common genetic paths between DM and PCa
Two-sample MRAllowing data on exposure and outcome to come from different study populations can increase the sample size, improve statistical power, and reduce the impact of sample selection biasIt can be used to evaluate whether DM increases the risk of PCa
Statistical efficiency analysisReliability analysisExamine the consistency of estimates and stability of different genetic instrumental variablesMR-Egger regression, the weighted median approach, and the leave-one-out cross-validation
Sensitivity analysisAssess the sensitivity of the results to potential confounding factors or violations of instrumental variable assumptions