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.
Genetic Epidemiology Of Endometrial Cancer: Towards Understanding Aetiology And Improving Risk Prediction.
Funder
National Health and Medical Research Council
Funding Amount
$353,573.00
Summary
Studies investigating thousands of genetic markers have revolutionised our understanding of genes involved in cancer, and shown that a single gene can be associated with multiple cancers. We will conduct the largest ever study to find new genes for endometrial cancer, the most common gynaecological cancer. Our unique approach will examine >11million markers across the genome, some specifically in regions known to be important for other cancers. Findings will be used for risk prediction models ....Studies investigating thousands of genetic markers have revolutionised our understanding of genes involved in cancer, and shown that a single gene can be associated with multiple cancers. We will conduct the largest ever study to find new genes for endometrial cancer, the most common gynaecological cancer. Our unique approach will examine >11million markers across the genome, some specifically in regions known to be important for other cancers. Findings will be used for risk prediction models.Read moreRead less
Dengue Transmission Under Climate Change In Northern Australia: Linking Ecological And Population Based Models To Develop Adaptive Strategies
Funder
National Health and Medical Research Council
Funding Amount
$444,293.00
Summary
The mosquito-transmitted viral disease, dengue, is likely to be influenced by climate change. It has been accorded priority for human health adaptation research (National Adaptation Research Plan, Human Health). Dengue has major health impacts in North Queensland, and causes major losses to the Queensland blood supply. The research will develop a model for climate-related changes in the future occurrence of dengue to predict risk in North Queensland and other parts of Australia.
Collaborative Australian Renal Cell Carcinoma Epidemiology Study (CARES)
Funder
National Health and Medical Research Council
Funding Amount
$1,677,048.00
Summary
The objective of this project is to increase our knowledge of the causes of renal cell carcinoma, a relatively common, yet understudied, cancer and use this new knowledge to develop a risk prediction tool to provide a rational basis for risk counselling. The proposed project will establish a biobank and generate a research platform that, beyond the duration of the project, will allow us to identify diagnostic and prognostic biomarkers, and therapeutic targets.