Dissecting Genetic Variation For Human Complex Diseases And Traits
Funder
National Health and Medical Research Council
Funding Amount
$135,821.00
Summary
Understanding the pattern of inheritance for human common diseases such as cancers, obesity, diabetes and mental illness, is of key importance for disease diagnosis, treatment and prevention. In this project, we will develop statistical methods and software tools to analyse DNA and clinical data to better understand the genetic basis of human common diseases and to predict a person�s risk of developing disease.
Using Systems Biology To Model And Predict Human Diseases
Funder
National Health and Medical Research Council
Funding Amount
$423,326.00
Summary
In the last decade, technological advances have driven the study of biology towards the statistical and computational sciences. Researchers are now able to differentiate and quantify biomolecules at levels previously unimaginable, allowing us to study their interactions and relationships to health and disease in an unbiased, systems-level manner. With expertise in bioinformatics, biostatistics and systems biology, I am uniquely placed to address these challenges.
Integrating Statistical Imputation Of HLA And KIR Alleles Into Studies Of Disease In Diverse Human Populations
Funder
National Health and Medical Research Council
Funding Amount
$415,218.00
Summary
Immune system genes are strongly implicated in many infectious and autoimmune diseases, as well as cancer. Some of these genes have many possible types due to natural selection in response to pathogens. This variability makes typing these genes very expensive. Developing accurate and inexpensive methods to type these genes is vital in understanding the role they play in susceptibility and progression of disease and will be important for the development of better diagnostic tests and treatments.
Translating Neuroscience Into Treatments And Public Health Policies For Addictive Behaviours
Funder
National Health and Medical Research Council
Funding Amount
$425,048.00
Summary
Advances from neuroscience promise to revolutionise our ability to treat and prevent addictive disorders such as gambling, overeating and drug addiction. These developments may also have unexpected clinical consequences, undermine individuals’ belief in their control over their behaviour or increase stigma and discrimination. This project will develop clinical guidelines and public health policy recommendations to ensure that we realise the benefits of neuroscience while minimising social harms.
Application Of Next Generation Sequencing To Address Clinical Problems In Cancer
Funder
National Health and Medical Research Council
Funding Amount
$463,652.00
Summary
Cancer is the cause of 1 in 8 deaths worldwide. Cancer occurs due to errors or mutations in the DNA of normal cells. The mutations may cause the cells to grow incorrectly and become cancer. I will identify the mutations or errors in tumour cells. This will tell us: i) How the tumour started and continued to grow ii) How to treat the tumour cells to kill the cancer The work will involve a variety of cancer types including mesothelioma, melanoma, oesophageal, pancreatic and breast cancer.
Development Of Statistical Methodologies And Application To Clinical Cancer Studies
Funder
National Health and Medical Research Council
Funding Amount
$428,065.00
Summary
Integrating different layers of information coming from the recent ‘-omics’ technologies can help improving the treatment and the prevention of complex diseases. In particular, the identification of molecular markers of different types can be used for better diagnostics and prognosis in cancer and immune diseases. This project will develop innovative statistical solutions to handle and make sense of the vast amount of biological data that are routinely generated in the laboratories.
Computational Methods For The Analysis Of Next Generation Sequence Data In Human Disease
Funder
National Health and Medical Research Council
Funding Amount
$401,361.00
Summary
Modern DNA sequencing technologies generate data at an unprecedented rate, providing the opportunity to develop deep insights into human disease. We can now sequence a tumour genome in a matter of weeks, or assay epigenetic marks in the malaria parasite genome, but these data raise new analysis challenges requiring new statistical and computational methods to solve. This fellowship will support the development of such new methods and will contribute to basic discoveries in human disease.