To explore the differentially expressed Hub genes in the cerebellum of Parkinson’s disease (PD) and to construct a diagnostic model, explore the pathogenesis of PD and seek the potential causes pretarget. Methods: The data of GSE20314 and GSE28894, PD cerebellar total RNA, were obtained from the GEO database. Limma and WGCNA were used to screen the differentially expressed genes between control population and PD patients. Then VennDiagram was used to search for Hub genes. Logistic regression was used to construct the diagnostic model after obtaining the hub genes, and the AUC of ROC curve was used to evaluate its diagnostic performance using data of GSE18838 and GSE6613, two data of PD blood samples. Results: (1) Seven Hub genes including CDKL2, DGKI, ERO1B, SBNO1, SDK2, SYNRG and VPS13C were obtained. (2) The diagnostic model was constructed based on SBNO1+VPS13C by logistic regression analysis. ROC curve showed that the AUC of GSE20314 + GSE2889, GSE18838 and GSE6613 were 0.9386, 0.8663 and 0.6564, respectively. Conclusion: Hub genes such as SBNO1 and VPS13C may be involved in the occurrence and development of PD, which may be used as potential intervention targets for PD in the future. The diagnostic model based on SBNO1+VPS13C gene has good diagnostic performance.