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.
Novel Epidemiological Methods To Infer The Causal Effects Of Risk Factors On Neuropsychiatric And Cardiovascular Disorders
Funder
National Health and Medical Research Council
Funding Amount
$182,003.00
Summary
Epidemiological studies, which associate risk factors and disease, are central in informing public health policy. Because causality is difficult to ascertain from these associations, public health interventions based on these findings are at some risk of failure. We propose to develop, extend and apply an innovative epidemiological approach, Mendelian randomization (MR) to resolve the causal relationship between risk factors and neuropsychiatric and cardiovascular disorders.
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
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.
Novel Ways Of Utilizing Genome-wide DNA Methylation Data From Peripheral Blood Samples In Genetic Epidemiology
Funder
National Health and Medical Research Council
Funding Amount
$285,186.00
Summary
The aim of this project is to develop statistical methods and paradigms to better leverage the considerable amount of peripheral blood DNA methylation data that has been collected from large scale epidemiological studies. In particular, our focus is on developing and optimizing statistical methods of using DNA methylation profiles to “tag” environmental exposures, so that this information can be better utilized to investigate the genetic and environmental basis of complex traits and diseases.
Using Methods In Genetic Epidemiology To Elucidate The Relationship Between Viral Infection And Risk Of Autoimmune Disease
Funder
National Health and Medical Research Council
Funding Amount
$622,446.00
Summary
Autoimmune diseases occur when the body's natural defense mechanisms attack healthy tissues by mistake. It has long been thought that viral infections might play a role in triggering autoimmune disease. Our study aims to find genes that influence the body's response to viral infection and subsequently whether the same genes are involved in autoimmune disease pathology. If the same genes are important in both situations then this will provide evidence that viruses trigger autoimmune disease.
Development And Application Of A Mendelian Randomization Framework Aimed At Dissecting The Biological Basis Of Ankylosing Spondylitis And Other Complex Diseases
Funder
National Health and Medical Research Council
Funding Amount
$279,666.00
Summary
Our aim is to identify genes and biological molecules that cause a type of autoimmune arthritis called ankylosing spondylitis. Our approach involves finding combinations of genes that are related to biological molecules of interest and then testing to see whether the gene combination is also related to risk of disease. We hope that our strategy will lead to new drug treatments targeting the condition.
Understanding And Ameliorating The Human Health Effects Of Exposure To Air Pollution: From Knowledge To Policy And Public Health Practice
Funder
National Health and Medical Research Council
Funding Amount
$2,584,848.00
Summary
Urban consolidation and sprawl, traffic congestion, mining, climate change, heating and cooling living environments, and power generation – these manifestations of modernity produce regular headlines. Air pollution and its effects on human health are the focus of much popular concern. This CRE will build an integrated research capacity in the field of air pollution and its effects on human health that will allow Australia to address these major challenges - now and in the future.
A Genomic Dissection of Natural Adaptation in Mate Recognition. Adaptation is a fundamental area of evolutionary biology but we know surprisingly little about its underlying genetic basis. As a process, adaptation poses several challenges for Australian society including bacterial evolution of resistance to antibiotics, HIV resistance to antiviral medications and the evolution of pesticide resistance in agricultural pests. This study will use a model system and genomic tools to test theoretical ....A Genomic Dissection of Natural Adaptation in Mate Recognition. Adaptation is a fundamental area of evolutionary biology but we know surprisingly little about its underlying genetic basis. As a process, adaptation poses several challenges for Australian society including bacterial evolution of resistance to antibiotics, HIV resistance to antiviral medications and the evolution of pesticide resistance in agricultural pests. This study will use a model system and genomic tools to test theoretical models of the genetic basis of adaptation. This integrative approach will enhance Australia's research profile in genomics and evolutionary biology. The project will provide emerging scientists with skills in areas including genomics, molecular biology, evolutionary biology and agricultural genetics.Read moreRead less
Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis. The genomics revolution has made it possible to measure thousands of DNA variants in individuals. This information can be used in many ways, including to find genes that cause variation between individuals in a population and to estimate the size of the population in the past. Our study will lead an analysis method that will extract more information out of such data. This will improve the effi ....Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis. The genomics revolution has made it possible to measure thousands of DNA variants in individuals. This information can be used in many ways, including to find genes that cause variation between individuals in a population and to estimate the size of the population in the past. Our study will lead an analysis method that will extract more information out of such data. This will improve the efficiency of gene mapping methods, including applications in humans for traits related to productive ageing and a healthy start to life, will allow the estimation of genetic relatedness and genetic variation in natural populations, and will lead to more efficient selection programs in agricultural populations.Read moreRead less