Development of the PD GeneChip: a research and diagnostic tool for Parkinson's disease. The PD GeneChip will provide both social and economic benefits to Australia. It will be a key research platform for Australian scientists, and will facilitate collaboration both within Australia and overseas. It will assist with health care management of PD (Parkinson's disease) patients by providing a cost-effective diagnostic tool and the possibility of predicting the clinical course of disease. This inform ....Development of the PD GeneChip: a research and diagnostic tool for Parkinson's disease. The PD GeneChip will provide both social and economic benefits to Australia. It will be a key research platform for Australian scientists, and will facilitate collaboration both within Australia and overseas. It will assist with health care management of PD (Parkinson's disease) patients by providing a cost-effective diagnostic tool and the possibility of predicting the clinical course of disease. This information will provide the basis for tailoring treatment to a patients needs. It is anticipated that marketing of the PD GeneChip within Australia and overseas may produce revenue of at least $40 million annually.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100614
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Novel statistical algorithms and methods to quantify and partition pleiotropy between complex traits in populations. A fundamental question in biology is how common genetic effects are shared between traits or groups. For example, is cognition or human behaviour genetically identical across genders or across human population groups? This project will address these questions using multiple independent genome-wide association studies.
Understanding somatic mutation in plants: new methods, new software, new data. Somatic mutations accumulate as plants grow, affecting everything from short-term ecological interactions to long-term evolutionary dynamics. These mutations have important consequences for plant industry and conservation, but because they are so hard to measure almost nothing is known about them. This project aims to develop new methods and software to detect, analyse, and compare the genome-wide history of somatic m ....Understanding somatic mutation in plants: new methods, new software, new data. Somatic mutations accumulate as plants grow, affecting everything from short-term ecological interactions to long-term evolutionary dynamics. These mutations have important consequences for plant industry and conservation, but because they are so hard to measure almost nothing is known about them. This project aims to develop new methods and software to detect, analyse, and compare the genome-wide history of somatic mutation in individual plants, providing an unprecedented level of detail into an important but understudied source of biological variation. By applying these methods to an iconic experimental population, This project aims to provide the first insights into the genome-wide causes and consequences of somatic mutation in plants.Read moreRead less
Functional Genomics to Predict and Enhance Response to Interferon. The increasing number and huge cost impost of new therapies to health providers, both worldwide and nationally, has not yet resulted in a concomitant increase in strategies to optimise their use. Many of the new therapies are proteins (recombinant human proteins or humanised monoclonal antibodies). The improved use of one of Australia's most expensive commonly used protein drugs, pegylated interferon ribavirin (Peg-IFN-R), could ....Functional Genomics to Predict and Enhance Response to Interferon. The increasing number and huge cost impost of new therapies to health providers, both worldwide and nationally, has not yet resulted in a concomitant increase in strategies to optimise their use. Many of the new therapies are proteins (recombinant human proteins or humanised monoclonal antibodies). The improved use of one of Australia's most expensive commonly used protein drugs, pegylated interferon ribavirin (Peg-IFN-R), could potentially produce savings to the Pharmaceutical Benefits Scheme (PBS), and improve delivery of healthcare to thousands of Australians.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668507
Funder
Australian Research Council
Funding Amount
$260,000.00
Summary
Real time PCR and nanoparticle diagnostic facilities for high-throughput quantitative analysis of genomic structure and gene expression. Modern molecular tools have lead to an explosion in genome projects and unification of all areas of biology. The most basic need for such research is access to improving technologies for detecting DNA fingerprints that distinguish genetically-diverse genes, and determining which genes are "switched on" or 'off' in various situations. Real time PCR technology, ....Real time PCR and nanoparticle diagnostic facilities for high-throughput quantitative analysis of genomic structure and gene expression. Modern molecular tools have lead to an explosion in genome projects and unification of all areas of biology. The most basic need for such research is access to improving technologies for detecting DNA fingerprints that distinguish genetically-diverse genes, and determining which genes are "switched on" or 'off' in various situations. Real time PCR technology, pioneered by The University of Queensland (UQ) and Southern Cross University (SCU) using ARC funding in 1996, is now the technology of choice for much of this research. This project will provide high-throughput equipment for real time PCR, and will develop complementary high-throughput "nanoparticle" DNA genotyping technologies, with applications to medicine and agriculture.
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Application of genome-wide transcriptional analysis to identifying genetic markers for industrial fermentation processes. This project aims to identify yeast genes involved in the response of commercial strains to stress, to determine their role in fermentation and the genetic pathways through which they operate. The ultimate goals are to determine the impact on fermentation activity of stress, and to develop predictive methods for assessing such conditions. This has significance since stress ....Application of genome-wide transcriptional analysis to identifying genetic markers for industrial fermentation processes. This project aims to identify yeast genes involved in the response of commercial strains to stress, to determine their role in fermentation and the genetic pathways through which they operate. The ultimate goals are to determine the impact on fermentation activity of stress, and to develop predictive methods for assessing such conditions. This has significance since stress during fermentation represents a significant commercial loss. The outcomes of this work will be a better understanding of how yeast responds to stress, and the identification of genes that can be used by the commercial partner to monitor and ensure fermentation efficiency.Read moreRead less
Genetic variation of transcriptional control. Genetic variation is a key cause phenotype differences in humans, animals, and plants and so of great economic importance. Despite its proven importance to human diseases, ?quantitative? variation in the amount of gene expression rather than ?qualitative? protein sequence changes, has not been systematically studied. We have developed a powerful method to identify genetic causes of quantitative variation using crosses of inbred mice in conjunction wi ....Genetic variation of transcriptional control. Genetic variation is a key cause phenotype differences in humans, animals, and plants and so of great economic importance. Despite its proven importance to human diseases, ?quantitative? variation in the amount of gene expression rather than ?qualitative? protein sequence changes, has not been systematically studied. We have developed a powerful method to identify genetic causes of quantitative variation using crosses of inbred mice in conjunction with microarray techniques to analyse expression of thousands of genes simultaneously. These studies will be extended to humans and be significant to wide areas of biological and commercial activity.Read moreRead less
RNA-based analysis for prediction of islet death in diabetes. Death of insulin-producing cells is a common feature in diabetes. Presently, a blood glucose test remains the only blunt instrument to diagnose diabetes. The RNA-based analysis for prediction of islet death in diabetes (RAPID) study links with eight clinical trials to test this newly developed non-invasive assay for predicting diabetes. Early diagnosis will help to reduce diabetic complications in later life.
Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply ....Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis. Read moreRead less
Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and meth ....Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.Read moreRead less