Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms. - Jie Liu 006; David Page; Houssam Nassif; Jude W. Shavlik; Peggy L. Peissig; Catherine A. McCarty; Adedayo A. Onitilo; Elizabeth S. Burnside (AMIA, 2013)

Comparing the Value of Mammographic Features and Genetic Variants in Breast Cancer Risk Prediction. - Yirong Wu; Jie Liu 006; David Page; Peggy L. Peissig; Catherine A. McCarty; Adedayo A. Onitilo; Elizabeth S. Burnside (AMIA, 2014)

A novel method for studying the temporal relationship between type 2 diabetes mellitus and cancer using the electronic medical record. - Adedayo A. Onitilo; Rachel V. Stankowski; Richard L. Berg; Jessica M. Engel; Gail M. Williams; Suhail A. Doi (BMC Medical Informatics Decis. Mak., 2014)

Discriminatory power of common genetic variants in personalized breast cancer diagnosis. - Yirong Wu; Craig K. Abbey; Jie Liu 006; Irene M. Ong; Peggy L. Peissig; Adedayo A. Onitilo; Jun Fan; Ming Yuan 001; Elizabeth S. Burnside (Image Perception, Observer Performance, and Technology Assessment, 2016)

Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants. - Shara Feld; Kaitlin M. Woo; Roxana Alexandridis; Yirong Wu; Jie Liu 006; Peggy L. Peissig; Adedayo A. Onitilo; Jennifer Cox; David Page; Elizabeth S. Burnside (AMIA, 2018)