Risk prediction models incorporating multiple risk factors (including genetic markers) are a recognised method to identify individuals at high risk of developing breast or colorectal cancer, but it is uncertain which model(s) currently perform best in a population setting. We aim to compare the predictive ability of each available model. Knowing which model performs best will facilitate early diagnosis, reduce overall costs by better targeting interventions and improve cancer survival.
Do Breast Cancer Risk Factors Differ According To Underlying Genetic Susceptibility? A Pooled Analysis Of Prospective Studies From The NCI Cancer Cohort Consortium
Funder
National Health and Medical Research Council
Funding Amount
$418,581.00
Summary
We propose to use data from 23 international prospective cohort studies in the Cancer Cohort Consortium organised by the US National Cancer Institute to evaluate gene environment interactions for women who are at increased genetic risk of breast cancer. Our ultimate goal is to enhance the performance of clinical prediction tools and to develop targeted evidence-based strategies to mitigate the high absolute risk of breast cancer for women at increased genetic risk of the disease.