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
Optimizing The Management Of Osteoarthritis Through Research And Innovation
Funder
National Health and Medical Research Council
Funding Amount
$2,889,164.00
Summary
I will test new treatments aimed at slowing disease progression and reducing pain in osteoarthritis (OA) by targeting specific disease pathways (metabolic factors and inflammation). I will undertake work examining the causes of hip OA where little is known. All required methodologies and resources to undertake this work are available and the trials underpinned by strong scientific rationale. This research program has high potential for translation and for reducing the burden and cost of OA.
Determinants And Impact Of Patient-Centred Health Outcomes In Psoriatic Arthritis
Funder
National Health and Medical Research Council
Funding Amount
$84,069.00
Summary
Psoriatic arthritis is a chronic joint disease which is linked with the skin condition called psoriasis. People who have psoriatic arthritis can develop deformities in their joints and suffer from decreased quality of life. Psoriatic arthritis can present in a wide range of ways, but the reasons for this are not understood. This research aims to explain some of this variation and to predict which patients will develop more severe disease so treatment can be targeted to improve their outcome.
Airway Inflammometry For Asthma And COPD: Practitioner Fellowship Peter G Gibson
Funder
National Health and Medical Research Council
Funding Amount
$568,892.00
Summary
Asthma and chronic obstructive pulmonary disease will receive the benefits of personalized medicine with this Fellowship funding. Dr Gibson, an international leader in this field, has identified key biomarkers that will allow treatments to be rationalized based on the underlying disease mechanisms. This research will translate the benefits on modern technology and apply these to individualized care for people with asthma and COPD, who can expect fewer lung attacks and better quality of life.
Gene Expression Biomarkers Predict Severe Asthma Inflammatory Phenotype, Activation Mechanisms And Treatment Response
Funder
National Health and Medical Research Council
Funding Amount
$465,627.00
Summary
Asthma is now recognised to be made up of several disease variants or phenotypes, which are likely to have different underlying causes and mechanisms. We lack understanding of how to identify phenotypes of asthma and how they work, and this is delaying research that will lead to improvements in treatments and patient care. This is particularly important in people with severe disease. This grant will establish a gene test to identify asthma phenotype, and further understand mechanisms and treatme ....Asthma is now recognised to be made up of several disease variants or phenotypes, which are likely to have different underlying causes and mechanisms. We lack understanding of how to identify phenotypes of asthma and how they work, and this is delaying research that will lead to improvements in treatments and patient care. This is particularly important in people with severe disease. This grant will establish a gene test to identify asthma phenotype, and further understand mechanisms and treatment responses.Read moreRead less
Twin and family studies show schizophrenia has a genetic basis. Attempts to find and characterise the underlying genes have not been successful so far. A main reason for this is that insufficient attention has been paid to the complexity of the underlying genetic architecture of the disorder. The pathway from genes to symptoms of schizophrenia is likely to involve elementary processes at neuronal and neural circuitry levels that vary between individuals and this variation is reflected in a grade ....Twin and family studies show schizophrenia has a genetic basis. Attempts to find and characterise the underlying genes have not been successful so far. A main reason for this is that insufficient attention has been paid to the complexity of the underlying genetic architecture of the disorder. The pathway from genes to symptoms of schizophrenia is likely to involve elementary processes at neuronal and neural circuitry levels that vary between individuals and this variation is reflected in a graded susceptibility to schizophrenia. During the last three years we have recruited a large number of families with at least one family member diagnosed with schizophrenia. The proband and all participating first-degree relatives have been assessed with a neurocognitive test battery including measures of sustained attention, working memory, speed of information processing, auditory verbal learning and executive function. Analysis of the neurocognitive data on this sample produced strong evidence that several measures are altered in patients with schizophrenia and a proportion of their asymptomatic first-degree relatives compared to unrelated normal controls. In the study we will systematically search the human genome for DNA markers linked to these measures. This will set the stage for the systematic search and characterisation of the underlying genes. This will allow us to better understand the predisposition to develop schizophrenia. In the individual case it is likely that this vulnerability results from a high-risk combination of a number of relatively common alleles which contribute to basic neural processes.Read moreRead less