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Discovery Early Career Researcher Award - Grant ID: DE220101226
Funder
Australian Research Council
Funding Amount
$423,000.00
Summary
Testing Effects of Environmental Exposures on Subsequent Human Generations. This project aims to develop new statistical models to determine how environmental exposures in pregnancy, such as smoking, alcohol consumption and diet, can impact the first and second generations of children. The project will fill a void in unbiased tools to disentangle genetic and environmental components in the inheritance of complex traits, and will be the first to determine objectively if and how effects from envir ....Testing Effects of Environmental Exposures on Subsequent Human Generations. This project aims to develop new statistical models to determine how environmental exposures in pregnancy, such as smoking, alcohol consumption and diet, can impact the first and second generations of children. The project will fill a void in unbiased tools to disentangle genetic and environmental components in the inheritance of complex traits, and will be the first to determine objectively if and how effects from environmental exposures can be inherited. Through international collaborations and advanced interdisciplinary approaches, this project will generate new knowledge in the emerging field of multigenerational inheritance to drive the future design of interventions and influence positive behaviours during pregnancy.Read moreRead less
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
Discovery Early Career Researcher Award - Grant ID: DE140100958
Funder
Australian Research Council
Funding Amount
$394,112.00
Summary
Understanding how shared between-sex genetic variance constrains the evolution of sexual dimorphism. Differences between males and females in the expression of shared traits have been of lasting interest to biologists. One fundamental question, which is as yet poorly understood, regards the extent to which a common genome restricts the independent evolution of the sexes. This project proposes a novel way of examining the degree to which the shared genetic architecture restricts the evolution of ....Understanding how shared between-sex genetic variance constrains the evolution of sexual dimorphism. Differences between males and females in the expression of shared traits have been of lasting interest to biologists. One fundamental question, which is as yet poorly understood, regards the extent to which a common genome restricts the independent evolution of the sexes. This project proposes a novel way of examining the degree to which the shared genetic architecture restricts the evolution of the sexes and the costs this imposes on population fitness. The results from the proposed experiments will give a clearer picture of how current measures reflect the true genetic constraint imposed on the sexes from a shared genetic architecture.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.
Discovery Early Career Researcher Award - Grant ID: DE190100483
Funder
Australian Research Council
Funding Amount
$410,176.00
Summary
The effect of apparent stabilising selection on genetic architecture. This project aims to improve our understanding of the cause of evolutionary limits. It will test the prediction that trait combinations with high genetic variation are highly correlated with other traits, and therefore are more evolutionary limited than they appear. This project will develop and implement novel evolutionary and statistical manipulations and methods to test this prediction, and is expected to provide new method ....The effect of apparent stabilising selection on genetic architecture. This project aims to improve our understanding of the cause of evolutionary limits. It will test the prediction that trait combinations with high genetic variation are highly correlated with other traits, and therefore are more evolutionary limited than they appear. This project will develop and implement novel evolutionary and statistical manipulations and methods to test this prediction, and is expected to provide new methods for the study of selection. A better understanding of evolutionary limits will provide a significant benefit, enabling better predictions of how natural populations will evolve over short and long time-scales, and their risks of extinction.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100883
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and e ....Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and environmental drivers that have shaped modern human genetic diversity and pathology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101407
Funder
Australian Research Council
Funding Amount
$447,524.00
Summary
Revealing and navigating a path to climate-ready crops. This project aims to investigate how well multi-dimensional biological and environmental data can be integrated to improve the prediction of plant performance under climatic fluctuations. This project expects to generate new knowledge in the area of quantitative genetics using an approach that combines trans-disciplinary research fields. Expected outcomes of this project include an example for how to advance conventional prediction methods ....Revealing and navigating a path to climate-ready crops. This project aims to investigate how well multi-dimensional biological and environmental data can be integrated to improve the prediction of plant performance under climatic fluctuations. This project expects to generate new knowledge in the area of quantitative genetics using an approach that combines trans-disciplinary research fields. Expected outcomes of this project include an example for how to advance conventional prediction methods using fundamental biological models that underlie plant growth. This will provide significant benefits, such as an enhancement of collaborative research across areas with the potential to significantly advance the general understanding of how plants interact with the environment.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101127
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
An integrated statistical genetics framework for breeding superior wheat varieties. Genetic studies in agriculture are rapidly increasing in size and complexity in pursuit of genes behind desirable traits such as yield and water use efficiency. This project will address the need for efficient statistical methods to analyse genetic data and thus enable production of wheat varieties that will contribute to Australian food security.
Discovery Early Career Researcher Award - Grant ID: DE220101210
Funder
Australian Research Council
Funding Amount
$451,634.00
Summary
Deciphering molecular genetic mechanisms underlying chromatin interactions. This project aims to generate the high confidence map of enhancer-promoter links in 61 tissues and cells through robust integration of novel machine learning tools with genomic and epigenomic datasets. Understanding which key elements in the genome may be important to fine-tune gene expression is essential for understanding biological pathways. The expected outcomes include i) New tools to robustly identify true chromati ....Deciphering molecular genetic mechanisms underlying chromatin interactions. This project aims to generate the high confidence map of enhancer-promoter links in 61 tissues and cells through robust integration of novel machine learning tools with genomic and epigenomic datasets. Understanding which key elements in the genome may be important to fine-tune gene expression is essential for understanding biological pathways. The expected outcomes include i) New tools to robustly identify true chromatin pairs; ii) Comperehensive maps of regulatory interactomes in 61 tissues & cells, which will provide a roadmap for interpreting & prioritising noncoding variants.
This should provide significant benefit to Australia's capacity for cutting-edge genomics research through fundamental understanding of gene regulation mechanism.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100549
Funder
Australian Research Council
Funding Amount
$417,328.00
Summary
Adaptive evolution and its demographic consequences today. This project aims to provide the first test of whether the rate of adaptative genetic evolution has changed in the recent decades, to quantify how much recent genetic evolution helps animal populations survive, and to increase the ability to study on-going genetic evolution in Australian wildlife. The project is of major significance as many species are currently threatened, or invading, due to rapid environmental changes, in particular ....Adaptive evolution and its demographic consequences today. This project aims to provide the first test of whether the rate of adaptative genetic evolution has changed in the recent decades, to quantify how much recent genetic evolution helps animal populations survive, and to increase the ability to study on-going genetic evolution in Australian wildlife. The project is of major significance as many species are currently threatened, or invading, due to rapid environmental changes, in particular climate change. The anticipated outcome of the project is to deliver new methods, establish a network of international and national collaborators and improve the ability to measure and to forecast how Australian animals adapt to rapidly changing environments.Read moreRead less