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
Defining The Role Of Genetic Variants In Systemic Lupus Erythematosus: Copy Number Variants And Epigenetic Mechanisms
Funder
National Health and Medical Research Council
Funding Amount
$338,625.00
Summary
Systemic Lupus Erythematosus (SLE) is a complex autoimmune disease associated with increased risk of mortality, severely impacting the quality of life for those affected. A large number of genes have been implicated in SLE susceptibility, however we know little of the genetic mechanisms proceeding disease onset. This project uses state of the art technology to define the role of genetic variants in SLE susceptibility and identify their importance across patients of different ethnic backgrounds.
Methods And Software Tool For Complex Trait Analyses Using Multi-omics Data
Funder
National Health and Medical Research Council
Funding Amount
$573,999.00
Summary
This project aims to develop methods to disentangle the contribution of people’s difference in DNA sequence, DNA methylation, and gene expression to their difference in characteristics (including risks to diseases), and to utilise these information to predict disease risks of different people. This project also aims to develop a versatile and efficient computer software to implement the methods being proposed in this project, as well as all other commonly used methods in the research community.
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.
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.
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.