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
Dynamics And Mechanisms Of Immune Complex-mediated Skin Inflammation
Funder
National Health and Medical Research Council
Funding Amount
$526,467.00
Summary
Type III hypersensitivity underlies a number of common autoimmune diseases, including rheumatoid arthritis and lupus erythematosus. These diseases are caused by the deposition of immune complexes (IC) and the accumulation of neutrophils within small blood vessels. We will use real time imaging to dissect in space and time the recruitment of neutrophils and IC deposition during type III hypersensitivity reactions in order to better understand the pathogenesis of these conditions.
The Role Of Non-classical MHC Class I Molecules In Adaptive Immunity
Funder
National Health and Medical Research Council
Funding Amount
$443,834.00
Summary
Specialised proteins called MHC class Ia molecules (MHC-Ia) stimulate killer T cells to lyse virus infected cells. In contrast, the function of the closely related MHC-Ib is uncertain. Recent findings have demonstrated that MHC-Ib can also be recognised by T cells and this interaction is important in the control of viral infections. However, despite the similarity to MHC-Ia, it is unclear how this interaction occurs. This project aims to investigate how killer T cells recognise MHC-Ib molecules.
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.
Genome-wide Combined Linkage-association Scan Of Multiply Phenotyped Twin Sibships
Funder
National Health and Medical Research Council
Funding Amount
$1,920,000.00
Summary
We have a large ongoing study of adolescent twins, their siblings and parents who are multiply phenotyped in many domains including melanoma risk factors, serum biochemistry, and cognition. We used our first Medical Genomics grant to obtain a 5cM linkage scan for>500 families and have identified linkage peaks for many different phenotypes. To fine map these it will be most efficient to carry out a genome-wide association scan. We request funds to type a 500k SNP chip on 1000 individuals.