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. Here, E2F2 is linked to breast carcinoma.