Although several of the clinical predictors used in this model, such as PSA level, age, prostate volume, and PI-RADS score, are known to be individually associated with prostate cancer risk, multicollinearity diagnostics confirmed that these variables contributed independently to the model. The gene discussed is KLK3; the disease is Familial prostate cancer.