Evaluating Recently Introduced Prevention Strategies And Investigating Further Aetiologies Of Cerebral Palsy
Funder
National Health and Medical Research Council
Funding Amount
$314,644.00
Summary
Cerebral palsy is an early brain injury that affects movement. Every year in Australia, this life long condition will be identified in another 600 infants. This Early Career Fellowship will train an Australian researcher to evaluate promising prevention strategies that could reduce the overall incidence of cerebral palsy for the first time. The researcher will also investigate other causes of cerebral palsy including birth defects that occur very early in pregnancy.
I am an epidemiologist using record linkage to investigate the causes and consequences of developmental disabilities such as birth defects, intellectual disability and autism and to identify possibilities for their prevention and amelioration.
Exploiting SNP Data In Epidemiology And Genetics Through Multivariate Analysis Of Complex Traits
Funder
National Health and Medical Research Council
Funding Amount
$476,981.00
Summary
There is overlap in risk factors across multiple diseases, and some of that overlap is due to genetic factors. The availability of genome-wide DNA data on tens of thousands of patients for multiple diseases and healthy controls allows new questions to be asked and answered. For example, what is the overlap due to genes in disease risk for multiple sclerosis and rheumatoid arthritis? This project will develop and statistical genetic methodology to answer such questions and apply those methods to ....There is overlap in risk factors across multiple diseases, and some of that overlap is due to genetic factors. The availability of genome-wide DNA data on tens of thousands of patients for multiple diseases and healthy controls allows new questions to be asked and answered. For example, what is the overlap due to genes in disease risk for multiple sclerosis and rheumatoid arthritis? This project will develop and statistical genetic methodology to answer such questions and apply those methods to a range of important diseases.Read moreRead less
I am a genetic epidemiologist focused on bowel cancer risk. I will develop a comprehensive model to estimate individual cancer risk by studying the effects of personal characteristics, cancer history, genetic factors and family history of cancer using large data sets from international consortia I helped establish. My research will enable targeting of screening to those most at risk and will aid the discovery of new causes for bowel cancer.
Identification Of A Gene That Increases Risk Of MS Via A Pathway Involving UV Exposure
Funder
National Health and Medical Research Council
Funding Amount
$111,000.00
Summary
Multiple sclerosis (MS) is an auto-immune disease of the central nervous system that affects over 10 000 Australians. It is a progressive debilitating disease that affects predominantly young adults and current therapies are expensive, only moderately effective and are associated with significant side effects. The biological processes leading to this disease are not well understood and there is a need to identify new ways of treating the disease or preventing it. One of the known factors associa ....Multiple sclerosis (MS) is an auto-immune disease of the central nervous system that affects over 10 000 Australians. It is a progressive debilitating disease that affects predominantly young adults and current therapies are expensive, only moderately effective and are associated with significant side effects. The biological processes leading to this disease are not well understood and there is a need to identify new ways of treating the disease or preventing it. One of the known factors associated with MS is the striking association of increased MS incidence with cooler climates and reduced sun exposure. A study conduced by the Menzies Centre has recently provided evidence that increased childhood sun exposure is significantly associated with reduced risk of MS. This project aims to study those genes involved in the body's response to sun exposure as we propose that if sun exposure influences risk of MS then those genes may interact with sun exposure to modify risk of MS.Read moreRead less
Environmental Risk Factors For Iron Overload-related Disease In A Cohort Study Of Hereditary Haemochromatosis
Funder
National Health and Medical Research Council
Funding Amount
$152,936.00
Summary
Results published last year from our Melbourne HealthIron study of hereditary haemochromatosis (iron overload disease) show that almost one third of the 50,000 men genetically at risk of iron overload in Australia will develop symptoms of disease including fatigue, arthritis and liver damage. We will use data from the recent follow-up of the Health2020 cohort, of which HealthIron is a sub-study, to determine environmental risk factors for progression to disease in people with iron overload.
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