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.
Combating Infectious Diseases: Eco-Epidemiology, Disease Mapping, And Travel Medicine
Funder
National Health and Medical Research Council
Funding Amount
$344,644.00
Summary
Infectious disease outbreaks are driven by complex interactions between humans, animals, vectors, and the environment. Globally, outbreaks have been increasing in frequency and magnitude, e.g. Ebola and SARS. There is an urgent need to improve public health intelligence by accurately identifying the causes, timing, and hotspots. This project will develop advanced modelling strategies for improving our understanding of outbreaks, and optimise public health interventions to protect human health.
Grant Montgomery is a genetic epidemiologist with a special interest in the causes, diagnosis, prevention and treatment of common diseases. His work is focussed primarily on endometriosis and melanoma.
Solving the puzzle of complex disease - genes and their interactions with the environment. Many human diseases are caused by the interplay of genetic predisposition (nature) and the environment (nurture); but their causes remain a mystery, since much past research has focused on these aspects in isolation. This project will aim to better understand these complex diseases using a multi-factorial approach that brings both nature and nurture together.