Objective: Mendelian randomization (MR) was used to explore the causal relationship between diabetes (type 1 and type 2) and prostate cancer (PCa) in East Asian population.
Methods: Mendelian randomization is a causal inference method based on genetic variation, which uses the influence of randomly assigned genotypes in nature on phenotype to infer the impact of biological factors on diseases. This study used genetic variation genes related to inflammatory biomarkers as instrumental variables to improve inference, and patient data was obtained from the GWAS database's aggregated association results. In the individual sample, we estimated the correlation between instrumental variables (SNPs) and type 1 and type 2 diabetes, and screened out strongly related SNPs, and excluded SNPs related to prostate cancer. After screening, further sensitivity analysis and visualization of research results were carried out to test the blood glucose level and the causal relationship between diabetes and prostate cancer.
Results: Our MR analysis found that there was a negative causal relationship between the risk of prostate cancer and type 2 diabetes.The ratio of type 2 diabetes to prostate cancer causal relationship (OR)=1.0039, 95% confidence interval (CI)=(1.0008, 1.0071), P=0.013, while type 1 diabetes had fewer SNPs screened, Failed to conduct relevant follow-up analysis.
Conclusions: Under Mendel's randomization hypothesis, our research results show that in the East East Asian population, the gene predicted type 2 diabetes and the occurrence of prostate cancer have a negative causal relationship, while the causal relationship between type 1 diabetes and prostate cancer is unknown due to the limited number of instrumental variables.
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