Elucidating the molecular mechanisms underlying migraine and endometriosis via genetic dissection. The research aims to identify genetic variants underlying migraine and endometriosis susceptibility. Advances in the genetics of these common and painful disorders, including identification of genetic biomarkers (genetic variations that can predict disease susceptibility, disease outcome, or treatment response), will offer better rationales for scientific enquiry, helping the discovery of new treat ....Elucidating the molecular mechanisms underlying migraine and endometriosis via genetic dissection. The research aims to identify genetic variants underlying migraine and endometriosis susceptibility. Advances in the genetics of these common and painful disorders, including identification of genetic biomarkers (genetic variations that can predict disease susceptibility, disease outcome, or treatment response), will offer better rationales for scientific enquiry, helping the discovery of new treatment pathways and improve predictions of drug efficacy and safety. Thus providing improved treatment strategies for the individual sufferer and reduce the direct medical and indirect economic costs to individual sufferers as well as to the general community.Read moreRead less
Genetical Genomics of Mutational Variance. Mutation is the ultimate source of all genetic variation. Understanding the nature of mutation, its frequency, the distribution of effects, and the forces of selection that remove mutational load from populations is therefore a central concern of genetics. The accumulation of mutational load both in endangered species and human populations, where the natural forces of selection tend not to operate, has the potential to create serious problems in these p ....Genetical Genomics of Mutational Variance. Mutation is the ultimate source of all genetic variation. Understanding the nature of mutation, its frequency, the distribution of effects, and the forces of selection that remove mutational load from populations is therefore a central concern of genetics. The accumulation of mutational load both in endangered species and human populations, where the natural forces of selection tend not to operate, has the potential to create serious problems in these populations. The goal is to understand what types of mutations are targeted by selection at the gene expression level and why.Read moreRead less
Unraveling the genetic networks of cancer development. Cancer causes nearly 30% of all deaths in Australia and the aging of our population means that its incidence will increase for the foreseeable future. The past two decades of cancer research have yielded great advances in identifying the genetic mutations that contribute to cancer, but our understanding of how these mutations cooperate to transform a healthy cell into a tumour cell remains limited. High-throughput genomic analysis of DNA fro ....Unraveling the genetic networks of cancer development. Cancer causes nearly 30% of all deaths in Australia and the aging of our population means that its incidence will increase for the foreseeable future. The past two decades of cancer research have yielded great advances in identifying the genetic mutations that contribute to cancer, but our understanding of how these mutations cooperate to transform a healthy cell into a tumour cell remains limited. High-throughput genomic analysis of DNA from large numbers of tumours is essential to identify and understand the combinations of cancer mutations that are most deadly. Such studies can form the basis for developing better diagnostics and new treatments for patients whose tumours are resistant to current therapies.Read moreRead less
Integrated Nanoplatform for Multiomics Analysis of Cell-to-Cell Interaction. This project aims to develop an integrated nanoplatform for analysis of exosomes produced by host-pathogen interaction at the single cell level. This will be accomplished by engineering an innovative device involving plasmonic nanoparticles to probe exosomes molecular profiles over time. The intended outcome is a generic and robust platform for detailed molecular analysis of the consequences of cell-to-cell interactions ....Integrated Nanoplatform for Multiomics Analysis of Cell-to-Cell Interaction. This project aims to develop an integrated nanoplatform for analysis of exosomes produced by host-pathogen interaction at the single cell level. This will be accomplished by engineering an innovative device involving plasmonic nanoparticles to probe exosomes molecular profiles over time. The intended outcome is a generic and robust platform for detailed molecular analysis of the consequences of cell-to-cell interactions. Single cell scale will greatly improve detection accuracy for heterogeneous cell populations. Benefits will include new knowledge of cell-to-cell communication and intellectual property in manufacturing, which will foster collaborations across institutions and Australian industry by providing new technological solutions.Read moreRead less
Solid-state light sources for bio-imaging and microfluidics. Solid state light sources are the light sources of the 21st century. This project will allow us to find new ways of bioimaging in living organisms applicable to diagnosing disease, and for microfluidic chip based portable instruments for on-site and point-of-care analysis in medical diagnostics, environmental monitoring, and manufacturing processes.
Dissecting the shared genetic architecture of psychiatric and psychological traits with application to prediction of genetic risk. Identification of the early phase of psychiatric disorders is considered critical for early intervention which is the essence of prevention. At present, the main obstacle to targeted early intervention strategies in psychiatric disorders is the non-specific nature of early stage symptoms. Many psychiatric disorders present with symptoms of depressed mood and anxiety ....Dissecting the shared genetic architecture of psychiatric and psychological traits with application to prediction of genetic risk. Identification of the early phase of psychiatric disorders is considered critical for early intervention which is the essence of prevention. At present, the main obstacle to targeted early intervention strategies in psychiatric disorders is the non-specific nature of early stage symptoms. Many psychiatric disorders present with symptoms of depressed mood and anxiety in the early stages, yet best intervention treatments are dependent on the final (unknown) diagnosed disorder. Prediction of genetic risk is likely to make an important contribution for identification of individuals at risk of specific psychiatric disorders so that the best early intervention treatment can be administered. Read moreRead less
Understanding phenotypes: contributions from studying mutations in a model organism. The distribution of fish across aquatic habitats will be determined jointly by the swimming speed and endurance requirements imposed by features of the environment, such as water flow, and by the swimming capacity of the fish. This project will use zebrafish to characterise how body shape and physiology interact to determine swimming capacity.
Statistical Methods for Next Generation Genome-Wide Association Studies. This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to c ....Statistical Methods for Next Generation Genome-Wide Association Studies. This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to contribute to the equitable use of genomic technologies in humans, regardless of geographical origins. Expected outcomes of this research include novel analysis methods and software tools, which should broadly and significantly benefit gene discovery in other species, including those of agricultural relevance.Read moreRead less
A new statistical framework to understand the biological basis of Ankylosing Spondylitis and other complex diseases. Ankylosing Spondylitis (AS) is a highly heritable and common inflammatory arthritis which causes stiffness and progressive fusion of the spine, decreased quality of life and reduced lifespan. There is no known cure for the condition. This project aims to identify genes and biological pathways involved in AS pathogenesis using a new statistical framework that will be applied to tho ....A new statistical framework to understand the biological basis of Ankylosing Spondylitis and other complex diseases. Ankylosing Spondylitis (AS) is a highly heritable and common inflammatory arthritis which causes stiffness and progressive fusion of the spine, decreased quality of life and reduced lifespan. There is no known cure for the condition. This project aims to identify genes and biological pathways involved in AS pathogenesis using a new statistical framework that will be applied to thousands of individuals with the disease. This project will improve understanding of the underlying mechanisms involved in AS pathophysiology, inform development of new drug treatments for the condition, and create a powerful new statistical approach that can be used to identify biological pathways which are important in the pathogenesis of other complex diseases.Read moreRead less
Genomic Control of Human Complex Trait Variation. This project aims to address knowledge gaps in our understanding of the genetic and environmental control of complex human trait variation. This project will use innovative approaches that combine molecular genomic information with data from large biobank sized cohorts to generate new knowledge of the mechanisms underlying ancestral and sex differences in humans. Expected outcomes include the development of novel methods for the integrative analy ....Genomic Control of Human Complex Trait Variation. This project aims to address knowledge gaps in our understanding of the genetic and environmental control of complex human trait variation. This project will use innovative approaches that combine molecular genomic information with data from large biobank sized cohorts to generate new knowledge of the mechanisms underlying ancestral and sex differences in humans. Expected outcomes include the development of novel methods for the integrative analysis of genomic data and building Australia’s capacity in a highly demanded field, ensuring the capability to realise the translation of this knowledge to positively impact society and human well-being.Read moreRead less