Genome-wide Association Studies Of Biomedical Traits And Endophenotypes For Complex Disease
Funder
National Health and Medical Research Council
Funding Amount
$295,804.00
Summary
The burden of common complex diseases, such as cardiovascular disease is substantial to the health care system. These diseases are caused by genes and environments as well as their interactions. The proposed project will identify genes affecting the susceptibility of individuals to complex diseases. Discovery of such genes will be important for their diagnosis, prevention and treatment and may serve as an important resource for future personalized medicine.
Developing And Applying Statistical Genetics Methods To Identify Genes, Molecular Biomarkers And Environmental Agents That Causally Affect Risk Of Complex Musculoskeletal Diseases
Funder
National Health and Medical Research Council
Funding Amount
$707,370.00
Summary
My aim is to identify genes, biological molecules and environmental factors that causally affect risk of osteoporosis and ankylosing spondylitis (a form of autoimmune arthritis) using novel and existing statistical genetics methodologies. My research will advance understanding of the causes of these diseases, identify new opportunities for their treatment, and provide the scientific community with new statistical methods and software to identify factors that causally influence risk of disease.
Evolutionary Genomics Approaches For Studying Acquisition Of Drug Resistance In Tumours
Funder
National Health and Medical Research Council
Funding Amount
$313,390.00
Summary
Chemotherapy often fails because some of the cells in tumour evolve resistance to the drugs the patient is given, causing relapse. We study how a tumour’s unstable genome and high rate of mutation drives its evolution by observing tumour cells in the laboratory as they evolve resistance to drugs and the genetic differences between resistant and sensitive cells. This work will help develop therapeutic strategies to prevent tumours from evolving resistance to chemotherapy.
A Population-based Family Study Of Filaggrin Mutations And Allergic Disease Risk In Australia
Funder
National Health and Medical Research Council
Funding Amount
$308,584.00
Summary
It is biologically plausible that the association of known environmental risk factors for asthma may be different for genetically susceptible individuals. Few studies have examined the interaction between genetic and environmental factors. that have not considered genetic susceptibility are estimating an average risk of asthma across all genotypes in the population which may not be relevant for a particular sub-group.
Saddlepoint approximation, likelihood analysis and ancestral graphs for strong and weak natural selection, genetic drift and population subdivision. Building new research strength in theoretical population genetics and related statistical techniques will enhance Australia's capability in harnessing the power of post-genomic information. Sophisticated statistical techniques that make smart use of genetic data are being developed in this project. The extent to which natural selection and migrati ....Saddlepoint approximation, likelihood analysis and ancestral graphs for strong and weak natural selection, genetic drift and population subdivision. Building new research strength in theoretical population genetics and related statistical techniques will enhance Australia's capability in harnessing the power of post-genomic information. Sophisticated statistical techniques that make smart use of genetic data are being developed in this project. The extent to which natural selection and migration affect current genetic polymorphism on a population level can be quantified using these new methods. New modeling provides a rigorous foundation with which to construct inference techniques currently beyond computational approaches to the data. Assessing selective effects on genetic mutations associated with human disease will be a consequence of this new statistical methodology.Read moreRead less
Novel Statistical Methods For Genetic Epidemiology
Funder
National Health and Medical Research Council
Funding Amount
$481,505.00
Summary
We are in the midst of a genomics revolution that is transforming epidemiology, medicine and drug discovery. However, the scarcity of sophisticated statistical techniques to deal with the complicated problems inherent in genetic investigations of complex diseases is currently the critical factor limiting the success of human gene discovery programs. Statistical genetic methodology is currently one of the fastest developing areas of epidemiology. In information-intensive' areas such as genetic ep ....We are in the midst of a genomics revolution that is transforming epidemiology, medicine and drug discovery. However, the scarcity of sophisticated statistical techniques to deal with the complicated problems inherent in genetic investigations of complex diseases is currently the critical factor limiting the success of human gene discovery programs. Statistical genetic methodology is currently one of the fastest developing areas of epidemiology. In information-intensive' areas such as genetic epidemiology, genomics, and proteomics, there is a high demand for data analysis and statistical skills. WA has some world class expertise in statistical science, both in academia and in industry. However, this expertise has not yet been applied in a system way to genetic data analysis. We propose to undertake advanced methodological research in statistical genetics and bioinformatics, to produce easy-to-use and accessible software tools and resources that allow methodological advances to be accessed by the Australian research community, and to apply our new methods and tools both to specific disease research and to the developing human genome epidemiology (HuGE) enterprise in WA. These new initiatives in methodological research will draw together a number of currently separate research strands and will provide new tools and resources that will allow applied Australian programs to improve the efficiency of their research into the causes of important. Methodological development in both bioinformatics and statistical genetics are recognized international areas of need.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100263
Funder
Australian Research Council
Funding Amount
$477,037.00
Summary
Improve genomic testing tools for fertility traits in beef cattle. Fertility is a key driver of productivity and profitability for beef industry; however, a substantial industry challenge is poor fertility and the difficulty and expense of measuring fertility in remote Australia. By integrating multiple omics datasets and fifty thousand fertility phenotypes recorded on beef cattle, the project will identify sequence variation, including structural variants, that underpin genetic variation in cat ....Improve genomic testing tools for fertility traits in beef cattle. Fertility is a key driver of productivity and profitability for beef industry; however, a substantial industry challenge is poor fertility and the difficulty and expense of measuring fertility in remote Australia. By integrating multiple omics datasets and fifty thousand fertility phenotypes recorded on beef cattle, the project will identify sequence variation, including structural variants, that underpin genetic variation in cattle fertility. Our industry partner, which genotypes hundreds of thousands of cattle a year, will produce new genotype arrays and novel low-cost sequencing approaches including these variants, enabling selection that could potentially increase herd reproductive rate by 4%, returning $40M per annum to the farmers.Read moreRead less
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
Discovery Early Career Researcher Award - Grant ID: DE240101190
Funder
Australian Research Council
Funding Amount
$451,000.00
Summary
Innovating and Validating Scalable Monte Carlo Methods. This project aims to develop innovative scalable Monte Carlo methods for statistical analysis in the presence of big data or complex mathematical models. Existing approaches to scalable Monte Carlo are only approximate, and their inaccuracies are difficult to quantify. This can have a detrimental impact on data-based decision making. The expected outcomes of this project are scalable Monte Carlo methods that are more accurate, fast and capa ....Innovating and Validating Scalable Monte Carlo Methods. This project aims to develop innovative scalable Monte Carlo methods for statistical analysis in the presence of big data or complex mathematical models. Existing approaches to scalable Monte Carlo are only approximate, and their inaccuracies are difficult to quantify. This can have a detrimental impact on data-based decision making. The expected outcomes of this project are scalable Monte Carlo methods that are more accurate, fast and capable of quantifying inaccuracies. Scientists and decision-makers will benefit from the ability to obtain timely, reliable insights for challenging applications.Read moreRead less
Efficient Estimation of Statistical Models with Many Parameters. Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and t ....Efficient Estimation of Statistical Models with Many Parameters. Statistical models are used extensively in business, engineering and the sciences to describe the behavior of systems subject to uncertainty. There are often many unknowns in such models and relatively little data to estimate them. The object of the research is to develop methods that make these statistical models practical to use. The research team will apply the methodology to solve problems in economics, finance, marketing and the analysis of gene expression data. The project will also train doctoral and postdoctoral students and enhance Australia's reputation for research excellence in the Statistical and Mathematical Sciences. Read moreRead less