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Australian State/Territory : QLD
Field of Research : Genetics
Research Topic : CELLULAR THERAPY FOR
Australian State/Territory : VIC
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  • Funded Activity

    Linkage Projects - Grant ID: LP110100473

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    Cellular genomic approach to the pathogenesis of multiple sclerosis. This project compares the levels of gene usage in two important immune cell types between patients with multiple sclerosis and people who do not have the disease. It aims to identify the molecular basis for the disease, in order to identify new diagnostic, preventative and treatment options.
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    Funded Activity

    ARC Centres Of Excellence - Grant ID: CE0348239

    Funder
    Australian Research Council
    Funding Amount
    $15,878,900.00
    Summary
    ARC Centre of Excellence in Biotechnology and Development. The Centre will create a multidisciplinary research team focusing on the molecular mechanisms that drive the specification and differentiation of male germ cells. This research will improve our fundamental understanding of how complex regulatory networks control the expression of a complex phenotype, the spermatozoon. It will also create a platform of knowledge from which we can stimulate the growth of the Australian Biotechnology indust .... ARC Centre of Excellence in Biotechnology and Development. The Centre will create a multidisciplinary research team focusing on the molecular mechanisms that drive the specification and differentiation of male germ cells. This research will improve our fundamental understanding of how complex regulatory networks control the expression of a complex phenotype, the spermatozoon. It will also create a platform of knowledge from which we can stimulate the growth of the Australian Biotechnology industry, the protection of the Australian Environment and the well-being of the Australian people. Key issues for this Centre include testicular cancer, male infertility, contraception, pest animal control, environmental impacts on human health and gene pharming.
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    Funded Activity

    Discovery Projects - Grant ID: DP160101056

    Funder
    Australian Research Council
    Funding Amount
    $338,300.00
    Summary
    The extent, causes and implications of pleiotropy among complex traits. The project seeks to understand how a DNA mutation can affect many characters or traits. Many traits are called complex because they are controlled by a very large number of genes, most of which have small effects. Complex traits include traits important in medicine (such as susceptibility to heart disease) and in agriculture (such as tenderness of meat). Because there are many genes affecting each trait, most genes have sma .... The extent, causes and implications of pleiotropy among complex traits. The project seeks to understand how a DNA mutation can affect many characters or traits. Many traits are called complex because they are controlled by a very large number of genes, most of which have small effects. Complex traits include traits important in medicine (such as susceptibility to heart disease) and in agriculture (such as tenderness of meat). Because there are many genes affecting each trait, most genes have small effects which makes them hard to identify. The fact that a mutation that has a small effect on a complex trait also has a larger effect on a less complex trait may help us to identify the mutation and use it in agriculture or medicine.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100499

    Funder
    Australian Research Council
    Funding Amount
    $415,000.00
    Summary
    Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un .... Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.
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