Transforming tobacco policy to deliver societal benefits. This project aims to develop new regulatory options for tobacco to minimise the legal market while avoiding the adverse societal and economic impacts of transferring consumer demand to illegal tobacco products. It addresses a significant current concern about a growing illegal tobacco market and seeks to improve understanding of the impact of tobacco control policies on the illegal market, and the societal impacts. The project also seeks ....Transforming tobacco policy to deliver societal benefits. This project aims to develop new regulatory options for tobacco to minimise the legal market while avoiding the adverse societal and economic impacts of transferring consumer demand to illegal tobacco products. It addresses a significant current concern about a growing illegal tobacco market and seeks to improve understanding of the impact of tobacco control policies on the illegal market, and the societal impacts. The project also seeks to draw insights from illicit drug policy to understand potential consequences of greater restrictions on the legal tobacco market. The expected outcomes include an enhanced monitoring system for illicit tobacco and policy recommendations to achieve government goals of reducing smoking rates.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
Resolving insect evolution. Our poor understanding of the evolution of insects, life’s most successful group, is a huge gap in our knowledge of nature. By analysing genomic data the project will resolve the insect evolutionary tree and discover what drove insect evolution. This will expand our knowledge of how evolution works - a vital part of conserving our biological diversity.
Development of population-level algorithms for modelling genomic variation and its impact on cellular function in animals and plants. The purpose of this project is to develop mathematical and computational tools which will enable researchers to model high-throughput biological data at the population level. These models will be used to uncover the effect that genetic variation has on the physiology of the cell and the organism.
Exploring the effects and maximising the benefits of the Gold Coast Rapid Transit project. Is light rail the ‘solution’ to Australia’s urban transport problems, or an expensive folly? Such questions will be explored in this project that focuses on the Gold Coast Rapid Transit project and comparative examples overseas. The project will include surveys of public transport users, transport modelling and an innovative trial of behaviour changed programs.
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
Inflammasomes: molecular drivers of anti-microbial defence. The innate immune system is the body’s first line of defence against infection, but also drives unhealthy inflammation. Families of innate immune receptors, such as nucleotide-binding oligomerisation domain (NOD-like Receptors), were recently discovered to control both anti-microbial defence and unhealthy inflammation. This project will characterise the basic biology of NOD-like Receptors at the molecular, cellular and organismal levels ....Inflammasomes: molecular drivers of anti-microbial defence. The innate immune system is the body’s first line of defence against infection, but also drives unhealthy inflammation. Families of innate immune receptors, such as nucleotide-binding oligomerisation domain (NOD-like Receptors), were recently discovered to control both anti-microbial defence and unhealthy inflammation. This project will characterise the basic biology of NOD-like Receptors at the molecular, cellular and organismal levels, and will thereby lead to a greater understanding of the fundamental biological pathways controlling inflammation and defence against infection. This may ultimately lead to commercial opportunities for treating infection and chronic inflammation.Read moreRead less
An evolutionary landscape to better predict our future climate. Soil microbial communities are the most complicated and difficult to study on Earth, but their effects on our climate are profound. This project will examine the evolution of microorganisms and their viruses in soil using novel methods. It will uncover how the evolution of one microbial species influences the evolution of other community members. It will also apply a new model of evolution to the viruses that infect these microorgan ....An evolutionary landscape to better predict our future climate. Soil microbial communities are the most complicated and difficult to study on Earth, but their effects on our climate are profound. This project will examine the evolution of microorganisms and their viruses in soil using novel methods. It will uncover how the evolution of one microbial species influences the evolution of other community members. It will also apply a new model of evolution to the viruses that infect these microorganisms, constructing a viral ‘tree of life’. This improved fundamental understanding of soil communities will be used to study climate feedback from permafrost wetlands, a key and poorly constrained input of global climate models, improving predictions of our future climate.Read moreRead less
Informing economic policies to enhance an efficient and sustainable use of water resources in a context of high uncertainty on future climate. The main purpose of this project is to assess how economic instruments can be used to improve water resources management in a context of uncertainty and climate change.
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