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.
Mediterranean Diet And Mortality: Analysis Of Longitudinal Dietary Patterns Using Newly Developed Statistical Methods
Funder
National Health and Medical Research Council
Funding Amount
$340,547.00
Summary
Assessment of the effect of changes in diet of health has not undergone rigourous analytical assessment in the scientific literature. This proposal focusses on patterns of change over time in a Mediterranean diet in 41,000 persons in the Melbourne Collaborative Cohort Study. It will assess the benefits of adoption and maintenance of this diet over an extended period, as well as determining how the benefits of the diet depend on a person's age at its adoption, and how the benefits of the diet int ....Assessment of the effect of changes in diet of health has not undergone rigourous analytical assessment in the scientific literature. This proposal focusses on patterns of change over time in a Mediterranean diet in 41,000 persons in the Melbourne Collaborative Cohort Study. It will assess the benefits of adoption and maintenance of this diet over an extended period, as well as determining how the benefits of the diet depend on a person's age at its adoption, and how the benefits of the diet interplay with other potential lifestyle changes.Read moreRead less
Genetic and environmental causes of asthma are poorly understood. The WATCH for asthma project will study Western Australian (WA) families in which there was a twin or higher order multiple birth (twin families) in order to measure inherited and environmental contributions to the development of asthma. All WA twin families, whose infants were born during 1990 to 1995, will be invited to become part of an existing Healthway funded, population based registry of WA Twin Child Health (the WATCH stud ....Genetic and environmental causes of asthma are poorly understood. The WATCH for asthma project will study Western Australian (WA) families in which there was a twin or higher order multiple birth (twin families) in order to measure inherited and environmental contributions to the development of asthma. All WA twin families, whose infants were born during 1990 to 1995, will be invited to become part of an existing Healthway funded, population based registry of WA Twin Child Health (the WATCH study). The WATCH study has already invited 2,751 WA twin families to participate and is the only population based twin study in Australia. Funding of this study by NH and MRC will enable the extension of this unique registry to include more specific clinical information about those families in which one or more of the twins has asthma. In addition to questionnaire data, DNA and physiological information will be collected, including a potentially important new measure of airway inflammation, exhaled nitric oxide which has yet to be studied for familial aggregation. We will use the extended WATCH dataset to undertake a comprehensive investigation of the genetic epidemiology of childhood asthma. This work offers the potential to advance our current understanding of the causes of both childhood asthma and associated traits (e.g., 'twitchy' airways). By exploring the relationships between different components of asthma, we will generate information to assist us to design better epidemiological and genetic studies of asthma. At the time of recruitment, if consent is given, blood will also be taken for DNA extraction and frozen storage. This will generate a powerful data base that can later be used for to search at a molecular level for genes potentially important in causing childhood asthma. Finally, by extending the WATCH study database we will be enhancing a research resource that could potentially be used for future studies of common complex diseases other than asthma.Read moreRead less
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