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Exploiting SNP Data In Epidemiology And Genetics Through Multivariate Analysis Of Complex Traits
Funder
National Health and Medical Research Council
Funding Amount
$476,981.00
Summary
There is overlap in risk factors across multiple diseases, and some of that overlap is due to genetic factors. The availability of genome-wide DNA data on tens of thousands of patients for multiple diseases and healthy controls allows new questions to be asked and answered. For example, what is the overlap due to genes in disease risk for multiple sclerosis and rheumatoid arthritis? This project will develop and statistical genetic methodology to answer such questions and apply those methods to ....There is overlap in risk factors across multiple diseases, and some of that overlap is due to genetic factors. The availability of genome-wide DNA data on tens of thousands of patients for multiple diseases and healthy controls allows new questions to be asked and answered. For example, what is the overlap due to genes in disease risk for multiple sclerosis and rheumatoid arthritis? This project will develop and statistical genetic methodology to answer such questions and apply those methods to a range of important diseases.Read moreRead less
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.
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.
I am a genetic epidemiologist focused on bowel cancer risk. I will develop a comprehensive model to estimate individual cancer risk by studying the effects of personal characteristics, cancer history, genetic factors and family history of cancer using large data sets from international consortia I helped establish. My research will enable targeting of screening to those most at risk and will aid the discovery of new causes for bowel cancer.
I am a human geneticist studying the genetics (molecular genetics and heredity) and variation of common complex human traits and disease, in particular, migraine and endometriosis.
We recently established the Centre for Neurogenetics and Statistical Genomics, a research centre within the Queensland Brain Institute. It was established to bring together a team of researchers with expertise in neurogenetics, neuropsychiatric genetics, statistical genomics and computational biology. During my Fellowship I will conduct research at this Centre to elucidate the genetic basis of neurogenetic diseases and psychiatric disorders, using genomic tools and data analysis.
Statistical Analyses Of Breast Cancer Risks For Australian BRCA1 And BRCA2 Mutation Carriers
Funder
National Health and Medical Research Council
Funding Amount
$424,628.00
Summary
About 10 years ago two genes, called BRCA1 and BRCA2, were discovered. The normal function of these genes is to prevent breast and other cancers from developing. All people have two copies of each gene, one inherited from their mother and one from their father. Women who have inherited a fault in one copy are at increased risk of breast and ovarian cancer. There has been considerable controversy about what their actual cancer risks are, especially about how those risks might depend on their age. ....About 10 years ago two genes, called BRCA1 and BRCA2, were discovered. The normal function of these genes is to prevent breast and other cancers from developing. All people have two copies of each gene, one inherited from their mother and one from their father. Women who have inherited a fault in one copy are at increased risk of breast and ovarian cancer. There has been considerable controversy about what their actual cancer risks are, especially about how those risks might depend on their age. We have already conducted studies on this and have developed the necessary statistical methods to address these issues by analysing data from the families in which there are faulty genes. In this study we propose to use two large Australian studies, one of families with multiple-cases of breast cancer (Kathleen Cuningham Consortium for Research on Familial Breast Cancer; kConFab) and the other of the families of women with breast cancer chosen, irrespective of their family cancer histories, through the Victorian and NSW Cancer Registries (Australian Breast Cancer Family Study; ABCFS). A large amount of work has already been conducted to identify these families and test them for faults in BRCA1 and BRCA2. There are over 350 families who carry faults, making this one of the largest studies of its type in the world. We will check the cancer histories of these families and determine which members have, or are likely to have, inherited a faulty gene. We will then estimate the breast and ovarian cancer risks accurately, and with much more precision, than has been done previously. We will also use these large datasets to develop a simple method to identify which Australian women are most likely to carry a fault in BRCA1 or BRCA2, based on their personal and family cancer histories. This study will assist genetic counsellors inform Australian women who consider mutation testing for BRCA1 and BRCA2 about their cancer risks, and help make breast cancer genetics more cost effective.Read moreRead less
Genetic Epidemiology Of Endometrial Cancer: Towards Understanding Aetiology And Improving Risk Prediction.
Funder
National Health and Medical Research Council
Funding Amount
$353,573.00
Summary
Studies investigating thousands of genetic markers have revolutionised our understanding of genes involved in cancer, and shown that a single gene can be associated with multiple cancers. We will conduct the largest ever study to find new genes for endometrial cancer, the most common gynaecological cancer. Our unique approach will examine >11million markers across the genome, some specifically in regions known to be important for other cancers. Findings will be used for risk prediction models ....Studies investigating thousands of genetic markers have revolutionised our understanding of genes involved in cancer, and shown that a single gene can be associated with multiple cancers. We will conduct the largest ever study to find new genes for endometrial cancer, the most common gynaecological cancer. Our unique approach will examine >11million markers across the genome, some specifically in regions known to be important for other cancers. Findings will be used for risk prediction models.Read moreRead less