That is 55%, 83%, and 64% of the candidate disease genes are proved to be related to the diagnosis and treatment of breast cancer, respectively, such as E2F2, E2F8, TPX2, BUB1, CKAP2L, etc. The results show the effectiveness of our computational framework for predicting disease genes. This evidence concerns the gene BUB1 and breast cancer.