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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.
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.
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.
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.
Evaluating The Genetic Contribution To Rheumatic Heart Disease Pathogenesis In Australian Aboriginal And Torres Strait Islander Communities
Funder
National Health and Medical Research Council
Funding Amount
$1,782,074.00
Summary
Rheumatic heart disease is highly prevalent in Aboriginal people in Australia and leads to early cardiac disease. Despite decades of research, the underlying genetic mechanisms for why it occurs are not well understood. We are conducting a genetic study to better understand why some people are susceptible to RHD and others are not. The study will involve substantial Aboriginal leadership and consultation and will be a model for the conduct of genetic studies in Aboriginal populations.
High-throughput Identification And Evaluation Of New Breast Cancer Genes From GWAS.
Funder
National Health and Medical Research Council
Funding Amount
$841,075.00
Summary
Recent studies have identified DNA markers within the human genome that are associated with an increased risk of breast cancer. Most of these markers are located in noncoding regions, therefore the key genes driving risk are not known. This proposal will identify the target genes at all breast cancer risk regions and assess how specific markers affect disease risk. Understanding how DNA variation contributes to breast cancer will provide new avenues for prevention or treatment.
Understanding The Etiology Of Psychiatric Disorders Through Whole Genome Analyses
Funder
National Health and Medical Research Council
Funding Amount
$470,144.00
Summary
Psychiatric disorders exert a huge social and economic burden on society. In recent years, large genetic studies have led to important new insights into these disorders. Major new human genomics resources will soon become available. My research will take advantage of these datasets to investigate the genetic basis of key epidemiological features of psychiatric disorders, including risk due to parental age and sex-biased prevalence, and to identify novel risk genes for schizophrenia and autism.
The overall aim is to improve treatments and outcomes for people with osteoporosis. This will be achieved by better predicting those who are likely to fracture and subsequently those who do well post fracture from those who do poorly. Following an osteoporotic fracture there is an increased risk of re- fracture and of premature death. This research will define those risk factors for fracture, re-fracture and early death in a large group of men and women followed for over 20 years.
Epistatic Genetic Effects On Neuroanatomical Subtypes Of Schizophrenia
Funder
National Health and Medical Research Council
Funding Amount
$410,141.00
Summary
Schizophrenia represents a number of clinically distinct syndromes, with a complex mode of inheritance. The delineation of biologically valid subtypes of schizophrenia is necessary to advance our understanding of the genetic basis of these syndromes. This project uses pattern classification techniques to determine subtypes of schizophrenia on the basis of structural brain abnormality across multiple regions, and will examine genetic interactions and differential gene expression associated with t ....Schizophrenia represents a number of clinically distinct syndromes, with a complex mode of inheritance. The delineation of biologically valid subtypes of schizophrenia is necessary to advance our understanding of the genetic basis of these syndromes. This project uses pattern classification techniques to determine subtypes of schizophrenia on the basis of structural brain abnormality across multiple regions, and will examine genetic interactions and differential gene expression associated with these biologically-derived subtypes.Read moreRead less
This study investigates how much an individual's genes and environment account for the wide variation in brain structure and function. Using brain imaging we examine in what way the connectivity of the brain of identical and non-identical twins is the same or different from that of their co-twin, and carry out analysis of their DNA to identify some of the genes involved. This will provide fundamental information on genetic mechanisms influencing variation in brain structure and function.