Shuhan Peng
This project will systematically investigate and identify risk factors causally associated with overall, early- and late-onset breast cancer, and improve the polygenic risk prediction of breast cancer.
Causal risk factors and genetic risk prediction of breast cancer
Shuhan Peng
Principal Supervisor’s name: A/Prof. Shuai Li
Co-supervisors’ names: Prof. John Hopper, Dr. Karen Alpen
Using the data from the Breast Cancer Association Consortium, the world’s largest breast cancer genetic research resource, this project will systematically investigate and identify risk factors causally associated with overall, early- and late-onset breast cancer, and improve the polygenic risk prediction of breast cancer.
Source of funding: Melbourne Graduate Research Scholarship, Studentship (Stipend)