They were then refined into three key genes using machine learning methods including Random Forest, SVM-RFE, and LASSO regression: CSF3R, GPR160, and RETSAT, whose biological roles are consistent with key features of CD pathogenesis. The gene discussed is RETSAT; the disease is Cowden disease.