The role of X-chromosome inactivation in quantitative trait variation. This project aims to develop methods and software that can be applied to genetic and genomic studies in animal breeding, wildlife protection, and humans. X-chromosome inactivation (XCI) is an important biological phenomenon but its effect on quantitative trait variation remains largely unknown. This project aims to develop novel statistical methods to estimate the X-linked genetic variance and the proportion that escapes XCI, ....The role of X-chromosome inactivation in quantitative trait variation. This project aims to develop methods and software that can be applied to genetic and genomic studies in animal breeding, wildlife protection, and humans. X-chromosome inactivation (XCI) is an important biological phenomenon but its effect on quantitative trait variation remains largely unknown. This project aims to develop novel statistical methods to estimate the X-linked genetic variance and the proportion that escapes XCI, and identify trait-associated genetic variants affected and not affected by XCI. The methods would then be applied to large datasets from genome-wide association studies for a large number of traits. Project outcomes may enable us to better understand the role of XCI in quantitative trait variation and gene expression in humans and animals.Read moreRead less
Estimation of non-additive genetic variance for complex traits using genome-wide single nucleotide polymorphyisms and sequence data. Finding genes for traits of importance in agriculture, ecology and human health depends on understanding the genetic basis of these traits. This project will investigate whether variation in traits in humans, cattle and wild sheep are influenced by gene-gene interactions.
The genetic architecture and evolution of quantitative traits. Most important traits are controlled by many genes and by the environment, however there is little knowledge of how many genes are involved in these complex traits and what their effects are. This project will describe the number of genes and their effects for complex traits in humans and livestock and explain how these genes evolve.
Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to gen ....Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to generate new knowledge on the roles of natural selection in shaping the genetic variation in traits and identify key factors that drive the differentiation of human populations. These outcomes will significantly improve our understanding on the evolution of human traits and adaptation of populations to changing environments.Read moreRead less
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.Read moreRead less
Special Research Initiatives - Grant ID: SR0354500
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
ARC Research Network in Microarray Technology. The primary aim of this proposal is to transform the premier genomic technology into a standard research tool; microarrays are now a priority for anyone studying the genetics underlying key biological processes. A principal challenge for the Australian research community is to capture all aspects of microarray technology and make them readily available. We will address these needs by developing a network to:
-establish regular research meetings,
- ....ARC Research Network in Microarray Technology. The primary aim of this proposal is to transform the premier genomic technology into a standard research tool; microarrays are now a priority for anyone studying the genetics underlying key biological processes. A principal challenge for the Australian research community is to capture all aspects of microarray technology and make them readily available. We will address these needs by developing a network to:
-establish regular research meetings,
-facilitate training in array methodologies and bioinformatics,
-co-ordinate innovation of technologies,-provide centralised data warehousing,
-provide access to automated high-level gene annotation,
-provide data mining tools,
-set standards for data management and exchangeRead moreRead less
The MYB gene as a model for global transcriptional regulation: stopping, starting and looping. This project will study how transcriptional elongation controls the MYB gene, a key regulator of normal and cancerous growth and regulation. There are three major benefits that are likely to flow from the proposed research It will strengthen research in new and important areas of transcriptional regulation, by building research capacity in Australia in the area of gene expression, particularly with res ....The MYB gene as a model for global transcriptional regulation: stopping, starting and looping. This project will study how transcriptional elongation controls the MYB gene, a key regulator of normal and cancerous growth and regulation. There are three major benefits that are likely to flow from the proposed research It will strengthen research in new and important areas of transcriptional regulation, by building research capacity in Australia in the area of gene expression, particularly with respect to transcriptional elongation and long-range regulation. It will highlight a new approach to the therapeutic targeting of MYB in cancer: data generated from this research may enable us to target MYB expression in a range of cancers including breast cancer by inhibiting transcriptional elongation. And it will provide training in advanced molecular biology to postdoctoral scientists and students.Read moreRead less
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.Read moreRead less
Special Research Initiatives - Grant ID: SR0354908
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
The Insect-Plant Chemical Ecology Network (IPCEN). We bring together plant molecular biology, entomology and analytical chemistry to transform three leading fields of Australian research into an advanced science with far reaching capabilities in innovative research and applied outcomes. Expertise studying the biochemical pathways that produce specific plant compounds and expertise in insect recognition and response to these chemicals will be brought together. This will lead to new research outco ....The Insect-Plant Chemical Ecology Network (IPCEN). We bring together plant molecular biology, entomology and analytical chemistry to transform three leading fields of Australian research into an advanced science with far reaching capabilities in innovative research and applied outcomes. Expertise studying the biochemical pathways that produce specific plant compounds and expertise in insect recognition and response to these chemicals will be brought together. This will lead to new research outcomes and solutions to problems in agriculture, horticulture, forestry and protection of Australia's native flora. Researchers are struggling to create these links, constrained by disciplinary boundaries and geographical isolation. Key industries and researchers already support this proposal.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0561030
Funder
Australian Research Council
Funding Amount
$441,100.00
Summary
Developmental Imaging Facility. This application seeks to establish a facility to undertake expression profiling in vertebrate tissues on a genomic scale and at the highest resolution. Undertaking large scale projects of this nature requires specialised robotics and dedicated infrastructure for microscopy and tissue preparation. This facility will be the first of its type in Australia will permit researchers to perform genomic scale in situ screens, many as part of large international initiative ....Developmental Imaging Facility. This application seeks to establish a facility to undertake expression profiling in vertebrate tissues on a genomic scale and at the highest resolution. Undertaking large scale projects of this nature requires specialised robotics and dedicated infrastructure for microscopy and tissue preparation. This facility will be the first of its type in Australia will permit researchers to perform genomic scale in situ screens, many as part of large international initiatives in developmental and cellular biology. This large-scale, high-resolution expression profiling infrastructure is required to maintain international competitiveness and will dramatically improve our gene discovery, functional assessment and understanding of vertebrate development.Read moreRead less