Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for mis ....Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.Read moreRead less
Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models domin ....Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models dominate. This project will generalise these techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.Read moreRead less
Genomic and molecular characterisation of a novel Australian leishmania pathogen. Leishmaniasis is the second most serious protozoal disease after malaria. This project will help characterise the first Leishmania species identified in Australia providing molecular tools to monitor the pathogen and a detailed assessment of any potential risk to human health. Comparative analysis with more pathogenic species will help identify genes and mechanisms that determine the progression of human disease le ....Genomic and molecular characterisation of a novel Australian leishmania pathogen. Leishmaniasis is the second most serious protozoal disease after malaria. This project will help characterise the first Leishmania species identified in Australia providing molecular tools to monitor the pathogen and a detailed assessment of any potential risk to human health. Comparative analysis with more pathogenic species will help identify genes and mechanisms that determine the progression of human disease leading to the potential identification of new drug and vaccine targets. The methodologies and expertise developed will be used will be available to other research groups working on infectious diseases.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100256
Funder
Australian Research Council
Funding Amount
$415,283.00
Summary
Extracting the hidden structure of glass from particle vibrations. Predicting the rigid behaviour of glass from its disordered, amorphous atomic structure remains a challenge in materials science. This project aims to define an innovative measure of structure based on how constrained each particle is, which can be quantified by measuring the particles’ vibrations. Using this new measure of structure, this project expects to link the microscopic structure of glass to its macroscopic properties v ....Extracting the hidden structure of glass from particle vibrations. Predicting the rigid behaviour of glass from its disordered, amorphous atomic structure remains a challenge in materials science. This project aims to define an innovative measure of structure based on how constrained each particle is, which can be quantified by measuring the particles’ vibrations. Using this new measure of structure, this project expects to link the microscopic structure of glass to its macroscopic properties via computer simulations. Expected outcomes of this project include a new methodology for characterising amorphous materials and an improved understanding of the nature of glass. This should provide significant benefits, such as an increased ability to rationally design amorphous materials with desired properties.Read moreRead less
ARC Centre for Kangaroo Genome. In this Australian-led Kangaroo Genome Project, we will map and characterize the tammar wallaby genome at the molecular level. Marsupial genomes are uniquely valuable because they provide comparisons that reveal new human genes, regulatory sequences and marsupial-specific genes. These will deliver new products and information useful for medicine, industry, agriculture and conservation. We will construct integrated genetic and physical maps of the genome, clone the ....ARC Centre for Kangaroo Genome. In this Australian-led Kangaroo Genome Project, we will map and characterize the tammar wallaby genome at the molecular level. Marsupial genomes are uniquely valuable because they provide comparisons that reveal new human genes, regulatory sequences and marsupial-specific genes. These will deliver new products and information useful for medicine, industry, agriculture and conservation. We will construct integrated genetic and physical maps of the genome, clone the whole genome as large inserts in BAC vectors, and build a "golden path" with minimal overlap. We will construct libraries of expressed genes from tammar tissues and array them for use in analysing gene expression.Read moreRead less
Strabismus is the pathological misalignment of the eyes associated with loss of binocular vision and is one of the most common human ophthalmological disorders. Patients with comitant strabismus have full eye movements, whereas patients with incomitant strabismus have limited eye movements, which causes the angle of strabismus to vary with gaze direction. This project aims to define genetic contributors to comitant congenital strabismus.
High Penetrance Deleterious Mutations In Blinding Glaucoma
Funder
National Health and Medical Research Council
Funding Amount
$1,345,055.00
Summary
This project aims to identify the genes most commonly mutated in individuals with advanced glaucoma. Identification of such genes will lead to improved understanding of glaucoma pathogenesis, a better ability to predict risk, and the identification of drug targets for novel therapies.
Preparing Australia For Genomic Medicine: A Proposal By The Australian Genomics Health Alliance
Funder
National Health and Medical Research Council
Funding Amount
$25,000,000.00
Summary
The sequencing of the human genome brings the possibility of more accurate identification of the underlying basis of many diseases. This technology has moved so rapidly, however, that clinical access has been limited. In this application, a national alliance of clinicians, researchers, health economists and policymakers will evaluate the case for clinical genomics across inherited disease and cancer, determine how best to deliver this to the patient and train a capable workforce.
Identifying The Pathological Mechanism Of PCDH19-Girls Clustering Epilepsy
Funder
National Health and Medical Research Council
Funding Amount
$523,988.00
Summary
Changes in the PCDH19 gene are a relatively common cause of epilepsy. To better understand the basis of this disorder, we have developed unique mouse models that mimic the genetic changes and symptoms of this condition. We will perform careful analysis of brain development in these models to determine the primary cause of this condition. These experiments will create greater understanding of how changes in PCDH19 cause epilepsy in girls and facilitate the development of new treatments.