Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100025
Funder
Australian Research Council
Funding Amount
$380,000.00
Summary
A high-throughput screening and sequencing facility for single cell genomics. Genomics has revolutionised biology, but for most microorganisms this revolution has not arrived because very few can be grown in pure culture. The single cell genomics facility will address this major bottleneck by allowing as little as a single cell in a clinical or environmental setting to be sequenced thereby accelerating new discoveries and outcomes.
Epigenetic regulation in bacteria. This project aims to understand the effect of DNA modification on gene regulation in the bacterial organism Escherichia coli, which causes urinary tract infection worldwide. High-throughput DNA sequencing technologies mean one can determine the entire genetic blueprint of a bacterium – its genome – accurately, quickly and cheaply. Single-molecule real-time sequencing provides a complete read-out of a bacterial genome (genetic data) and chemical modifications of ....Epigenetic regulation in bacteria. This project aims to understand the effect of DNA modification on gene regulation in the bacterial organism Escherichia coli, which causes urinary tract infection worldwide. High-throughput DNA sequencing technologies mean one can determine the entire genetic blueprint of a bacterium – its genome – accurately, quickly and cheaply. Single-molecule real-time sequencing provides a complete read-out of a bacterial genome (genetic data) and chemical modifications of the DNA (epigenetic data). Epigenetic data can affect regulation: how genes are switched off and on. This project seeks to harness the power of single-molecule DNA sequencing, together with state-of-the-art genomic and molecular approaches, to better understand the impact of DNA modification on gene regulation in the model bacterial organism, Escherichia coli. This work will support advanced training in bioinformatics and microbiology and improve our understanding of regulation in all bacteria.Read moreRead less
MOLECULAR APPROACHES TO OVERCOME SCABIES AND ASSOCIATED DISEASE. Scabies causes childhood pyoderma predisposing to severe disease in later life. It is a major increasing health burden in Indigenous people of Northern Australia. Drug resistance is developing in mites and bacteria. The lack of clinical material has hampered molecular research and this work will use comparative genomics of parasitic and free living mites and microbiome analysis to understand fundamental aspects of mite biology and ....MOLECULAR APPROACHES TO OVERCOME SCABIES AND ASSOCIATED DISEASE. Scabies causes childhood pyoderma predisposing to severe disease in later life. It is a major increasing health burden in Indigenous people of Northern Australia. Drug resistance is developing in mites and bacteria. The lack of clinical material has hampered molecular research and this work will use comparative genomics of parasitic and free living mites and microbiome analysis to understand fundamental aspects of mite biology and pathogenesis. The understanding of proteins that are essential for mite survival and interfere with host defences will allow the informed design of peptide inhibitors as a new strategy to develop alternative treatment options.Read moreRead less
Evaluating The Genetic Contribution To Rheumatic Heart Disease Pathogenesis In Australian Aboriginal And Torres Strait Islander Communities
Funder
National Health and Medical Research Council
Funding Amount
$1,782,074.00
Summary
Rheumatic heart disease is highly prevalent in Aboriginal people in Australia and leads to early cardiac disease. Despite decades of research, the underlying genetic mechanisms for why it occurs are not well understood. We are conducting a genetic study to better understand why some people are susceptible to RHD and others are not. The study will involve substantial Aboriginal leadership and consultation and will be a model for the conduct of genetic studies in Aboriginal populations.
Discovery Early Career Researcher Award - Grant ID: DE200100425
Funder
Australian Research Council
Funding Amount
$409,364.00
Summary
Genetic and Molecular Consequences of Non-Random Mating in Humans. This project aims to develop and apply novel statistical methods to quantify the effects on a large number of complex traits of two forms of non-random mating in humans, that is inbreeding and assortative mating. The innovation in this proposal lies in integrating multi-level phenotypes with next-generation sequencing data collected in more than half a million study participants. Expected outcomes of this research include advance ....Genetic and Molecular Consequences of Non-Random Mating in Humans. This project aims to develop and apply novel statistical methods to quantify the effects on a large number of complex traits of two forms of non-random mating in humans, that is inbreeding and assortative mating. The innovation in this proposal lies in integrating multi-level phenotypes with next-generation sequencing data collected in more than half a million study participants. Expected outcomes of this research include advanced analytical methods to perform this integration and dissection of the biological consequences of non-random mating in humans at an unprecedented phenotypically detailed scale. The benefit of this project will be to identify new drivers of mate choice that can contribute to economic, health and social inequalities. Read moreRead less
Genomic Control of Human Complex Trait Variation. This project aims to address knowledge gaps in our understanding of the genetic and environmental control of complex human trait variation. This project will use innovative approaches that combine molecular genomic information with data from large biobank sized cohorts to generate new knowledge of the mechanisms underlying ancestral and sex differences in humans. Expected outcomes include the development of novel methods for the integrative analy ....Genomic Control of Human Complex Trait Variation. This project aims to address knowledge gaps in our understanding of the genetic and environmental control of complex human trait variation. This project will use innovative approaches that combine molecular genomic information with data from large biobank sized cohorts to generate new knowledge of the mechanisms underlying ancestral and sex differences in humans. Expected outcomes include the development of novel methods for the integrative analysis of genomic data and building Australia’s capacity in a highly demanded field, ensuring the capability to realise the translation of this knowledge to positively impact society and human well-being.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100614
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Novel statistical algorithms and methods to quantify and partition pleiotropy between complex traits in populations. A fundamental question in biology is how common genetic effects are shared between traits or groups. For example, is cognition or human behaviour genetically identical across genders or across human population groups? This project will address these questions using multiple independent genome-wide association studies.
Phenotypic profiling from DNA using genetic and epigenetic information. The project intends to quantify how much information about a person can be inferred from a DNA sample. A DNA sample contains epigenomic information additional to the genome sequence. This information can reflect age and the past and present lifestyle of the individual whose sample it is. The project aims to quantify the accuracy of lifestyle and phenotypic prediction from DNA. Existing genome-wide genotype and methylation ar ....Phenotypic profiling from DNA using genetic and epigenetic information. The project intends to quantify how much information about a person can be inferred from a DNA sample. A DNA sample contains epigenomic information additional to the genome sequence. This information can reflect age and the past and present lifestyle of the individual whose sample it is. The project aims to quantify the accuracy of lifestyle and phenotypic prediction from DNA. Existing genome-wide genotype and methylation array data from thousands of blood samples from human subjects will be statistically analysed to develop and validate predictors for chronological age, smoking, caffeine use, pesticide exposure, diet and body mass index. Potential applications of epigenomic prediction are widespread, ranging from forensics to ecology.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL180100072
Funder
Australian Research Council
Funding Amount
$3,460,832.00
Summary
Causes and consequence of human trait variation. This project aims to exploit the availability of Big Data from the genomics revolution to understand the relationship between the genome, the environment and complex human traits. New statistical methods and user-friendly software tools will be developed and applied to datasets on millions of individuals to generate new knowledge on human life history variation and healthy ageing. This project will position Australia to benefit from rapid advances ....Causes and consequence of human trait variation. This project aims to exploit the availability of Big Data from the genomics revolution to understand the relationship between the genome, the environment and complex human traits. New statistical methods and user-friendly software tools will be developed and applied to datasets on millions of individuals to generate new knowledge on human life history variation and healthy ageing. This project will position Australia to benefit from rapid advances in genomic technologies, to build and sustain critical capacity in statistical genetics, and better understand the causes and consequence of individual differences in human traits from genetic and environmental factors across the entire human lifespan.Read moreRead less
TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. ....TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. The research team unites international industry, the Australian Plant Phenomics Facility, and university statistical geneticists. TraitCapture software will use open standards applicable to both controlled and field environments enabling plant breeders to pre-select adaptive traits to increase crop productivity under environmental stress.Read moreRead less