Dissecting Genetic Variation For Human Complex Diseases And Traits
Funder
National Health and Medical Research Council
Funding Amount
$135,821.00
Summary
Understanding the pattern of inheritance for human common diseases such as cancers, obesity, diabetes and mental illness, is of key importance for disease diagnosis, treatment and prevention. In this project, we will develop statistical methods and software tools to analyse DNA and clinical data to better understand the genetic basis of human common diseases and to predict a person�s risk of developing disease.
Exome Sequencing By NGS To Identify Rare Variants Affecting Type 2 Diabetes
Funder
National Health and Medical Research Council
Funding Amount
$570,425.00
Summary
Rates of type 2 diabetes are rising dramatically, and current efforts are failing to stem its progression. More information about why the disease develops is urgently needed. We apply the latest technological innovations in DNA analysis to accelerate the discovery of the mechanism behind the development of type 2 diabetes. This knowledge will lead to new ways to control diabetes through development of novel therapies.
Developing And Applying Biologically Plausible Statistical Models For Normal And Non-normal Family Data
Funder
National Health and Medical Research Council
Funding Amount
$339,700.00
Summary
Although molecular and computing advances have enabled more detailed investigations of inherited diseases and the ability to fit realistic statistical models to these data, limitations still exist when analysing family data. Often only basic statistical analyses are performed, due to the lack of understanding of complexities within the data and-or inability of researchers to fit appropriate statistical models. These factors have hampered the search for genes and environmental factors influencing ....Although molecular and computing advances have enabled more detailed investigations of inherited diseases and the ability to fit realistic statistical models to these data, limitations still exist when analysing family data. Often only basic statistical analyses are performed, due to the lack of understanding of complexities within the data and-or inability of researchers to fit appropriate statistical models. These factors have hampered the search for genes and environmental factors influencing common diseases. This project aims to develop novel, biologically realistic statistical models for investigation of common, complex diseases, such as heart disease and cancer, in families. These models will incorporate both measured and unmeasured genetic and environmental factors, and will be applicable to both normally distributed and non-normally distributed traits. Model fitting will use computer-intensive simulation techniques. Application of the models to data from two large pre-existing studies of international renown, the Victorian Family Heart Study and the Australian Prostate Cancer Family Study, will enable a better understanding of the genetic and environmental factors influencing heart disease and cancer. The models will also be applicable to many other studies of diseases which use data from families, and allow more accurate and useful information to be obtained from data. Software will also be made freely available to other researchers. This will ultimately translate into better outcomes from familial genetic research, and eventually, better prevention, detection, and treatment of the diseases.Read moreRead less
CAGE: Consortium For The Architecture Of Gene Expression
Funder
National Health and Medical Research Council
Funding Amount
$501,080.00
Summary
This research project is about understanding why some people are most susceptible to disease than others, by identifying genetic factors that influence the expression of genes that are important in disease. We will work with leaders in the field in Europe and the USA in an international research consortium to find genetic variants with an effect on gene expression and to link those genetic factors to disease. The project will provide new understanding about the biological basis of common disease ....This research project is about understanding why some people are most susceptible to disease than others, by identifying genetic factors that influence the expression of genes that are important in disease. We will work with leaders in the field in Europe and the USA in an international research consortium to find genetic variants with an effect on gene expression and to link those genetic factors to disease. The project will provide new understanding about the biological basis of common diseases.Read moreRead less
Development And Evaluation Of Statistical Methods And Software For Analysis Of Complex Genetic Disease Data
Funder
National Health and Medical Research Council
Funding Amount
$1,250,371.00
Summary
What are the major factors underpinning complex genetic diseases like diabetes, bipolar disorder or cancer? To answer this question new tools are needed, including software for mining the human genome with interactions between the genome and environment being incorporated. This is our focus. It will form the basis of a superior understanding of the overall process leading to disease and hence better predictions with important ramifications for new treatments and health care planning.
New Computational Methods For The Analysis Of Whole-genome Data
Funder
National Health and Medical Research Council
Funding Amount
$151,516.00
Summary
A complete understanding of the mechanisms underlying common diseases can only be achieved if all pathways at which genetic variation contributes to disease risk are identified. Most available methods to identify such predisposing genetic variation are adequately powered only when analysing data for many thousands of samples. We will develop more powerful statistical methods that can increase our ability to identify disease genes from large-scale association studies.
Identifying Novel Susceptibility Loci For Osteoporosis Through Whole Genome Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$623,969.00
Summary
Our highly successful genome-wide studies of bone mineral density (a risk factor for osteoporosis) have highlighted 60 loci relevant to the disease. However, a substantial amount of genetic variance remains unexplained. This project will focus on less common variants that have larger effect sizes and are relevant to osteoporosis, but are not well studied by approaches such as high-density SNP arrays and genome-wide association studies.
Using New Methods To Unravel The Genetics Of Complex Disorders
Funder
National Health and Medical Research Council
Funding Amount
$316,444.00
Summary
Advances in genomics have revolutionised research in the genetics of complex traits, but much of the genetic risk to disease remains unexplained. This project aims to utilise and integrate data from the latest genomic technologies such as next-generation sequencing, methylation arrays and gene expression arrays collected from large cohorts both in the United States and Australia to uncover the biological changes necessary for disease onset.
Asthma Genetics: Dissecting The Missing Heritability And Biology
Funder
National Health and Medical Research Council
Funding Amount
$451,716.00
Summary
The goal of this application is to apply state-of-the-art technologies to (1) identify genes that increase the risk of developing asthma and (2) help translate this information into knowledge that can be used to improve disease management. I will achieve this by analysing data generated by the Australian Asthma Genetics Consortium and international collaborators.
Translation Of Genetic Findings Into Improved Health Outcomes For Common Eye Diseases In Our Society
Funder
National Health and Medical Research Council
Funding Amount
$675,736.00
Summary
Associate Professor Paul Baird of the Centre for Eye Research Australia, University of Melbourne specialises in identifying and understanding how genetic changes are involved in causing the commonest causes of vision loss and blindness in our society including age related macular degeneration, short-sightedness and glaucoma. His Fellowship will be used to better understand how genes and environment cause these diseases, allowing translation of findings intto new and improved treatments for patie ....Associate Professor Paul Baird of the Centre for Eye Research Australia, University of Melbourne specialises in identifying and understanding how genetic changes are involved in causing the commonest causes of vision loss and blindness in our society including age related macular degeneration, short-sightedness and glaucoma. His Fellowship will be used to better understand how genes and environment cause these diseases, allowing translation of findings intto new and improved treatments for patients.Read moreRead less