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
Big Data To Real World Evidence: Informing Pharmaceutical Policy Decisions Around Targeted Cancer Medicines
Funder
National Health and Medical Research Council
Funding Amount
$86,073.00
Summary
The proposed research will examine the use of targeted cancer therapies in Australia. At present there is little evidence around how these medications are being used in the real world, medical services their use requires, and costs associated with their use. Analysing linked, routinely collected health data, this project will generate new scientific and methodological knowledge about the use and impact of targeted cancer therapies available via publicly funded access programs in Australia.
Post-market Surveillance Of Medicine-related Adverse Events
Funder
National Health and Medical Research Council
Funding Amount
$99,248.00
Summary
Observational studies using administrative data are an important complement to spontaneous reporting systems for detecting medicine-related adverse events after they go to market, as they reflect real-world use of medicines; yet, they require rigorous methodological approaches to avoid bias. This project will review the existing methodologies for detecting adverse events in administrative data and apply them to Australian data.
Using Big Data To Reduce Inappropriate Medication Use
Funder
National Health and Medical Research Council
Funding Amount
$318,768.00
Summary
Potentially inappropriate medication use both increases patient harm and wastes considerable health resources. However methods for measuring patterns of use are not well developed nor utilised in policy. This research will measure the scope, variation and burden of potentially inappropriate medication use in Australia. My unique combination of biostatistical, data and policy expertise will enable this research to create new actionable tools for evaluating the Australian healthcare system.
The Burden Of Cancer - Prevention, Treatments, Costs, And Related Diseases
Funder
National Health and Medical Research Council
Funding Amount
$311,860.00
Summary
This research aims to increase knowledge on the development, optimal treatment, and costs of cancer and the associated risk factors, by applying advanced disease burden measures to comprehensive data gathered from several established and novel databases. This knowledge is important in advancing our understanding of those most vulnerable to cancer and in developing appropriate preventive strategies and health care for those at highest risk.
POPULATION-LEVEL RELEVANCE OF RISK FACTORS FOR CANCER
Funder
National Health and Medical Research Council
Funding Amount
$319,692.00
Summary
This research will provide novel up-to-date evidence-based information on the population-level relevance of lifestyle-related risk factors for cancer in Australia, by applying an advanced disease burden measure to established Australian cohort studies. This knowledge on the national cancer burden is essential for targeting cancer interventions for those at highest risk and evaluating their effectiveness.
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
Optimal Design Of Antimalarial Population Pharmacokinetic Studies
Funder
National Health and Medical Research Council
Funding Amount
$110,300.00
Summary
Each year there are more than 500 million episodes of malaria and over a million deaths. One of the main causes of this burden is inadequate treatment of young children and pregnant women. This project will improve research methods for determining effective treatment for all malaria patients, which in turn, will improve cure rates and slow the emergence and spread of drug resistance.