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
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
Deciphering the genetic architecture of human complex traits. This project aims to develop statistical methods to integrate data from genetic studies of complex traits such as stature and cognition. Molecular phenotypes such as gene expression in large samples will be used to predict target genes and regulatory elements of those traits. Understanding the genetic basis of human complex traits is critical to longstanding questions in human and evolutionary biology. The project will also detect sig ....Deciphering the genetic architecture of human complex traits. This project aims to develop statistical methods to integrate data from genetic studies of complex traits such as stature and cognition. Molecular phenotypes such as gene expression in large samples will be used to predict target genes and regulatory elements of those traits. Understanding the genetic basis of human complex traits is critical to longstanding questions in human and evolutionary biology. The project will also detect signatures of natural selection in shaping the genetic variation in complex traits. The project will provide better understanding of complex traits in global populations and the history of human evolution, and will develop methods applicable in plant and animal contexts.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
Exploring genetic diversity to identify new heat tolerance genes in wheat. This project aims to improve the selection and development of heat-tolerant wheat varieties. Heatwaves seriously reduce wheat yields worldwide, and the situation will worsen with climate variation. This project aims to apply a broad genetic scan to identify the main chromosome regions controlling heat tolerance at the sensitive flowering stage in Australian and European wheat varieties. It is expected that this knowledge ....Exploring genetic diversity to identify new heat tolerance genes in wheat. This project aims to improve the selection and development of heat-tolerant wheat varieties. Heatwaves seriously reduce wheat yields worldwide, and the situation will worsen with climate variation. This project aims to apply a broad genetic scan to identify the main chromosome regions controlling heat tolerance at the sensitive flowering stage in Australian and European wheat varieties. It is expected that this knowledge will deliver crucial breeders’ tools to select heat-tolerant varieties. The project also aims to identify genes most likely to control tolerance at these chromosome locations using gene expression profiling data, trait associations and knowledge of heat-tolerance genes from other species. It is expected that these genes will reveal molecular mechanisms of heat tolerance and create new opportunities to engineer superior levels of tolerance in cereals.Read moreRead less
Improving the efficiency of CRISPR gene editing in cells. Human red blood cells are well-characterised and the globin gene locus is a model system for the study of gene regulation. Gene editing technologies and delivery tools are evolving rapidly and the globin gene locus is the perfect model for gene editing optimisation. This collaboration between UNSW Sydney and CSL aims to bring together our combined expertise and new technologies to develop an optimal platform for genetic modification in a ....Improving the efficiency of CRISPR gene editing in cells. Human red blood cells are well-characterised and the globin gene locus is a model system for the study of gene regulation. Gene editing technologies and delivery tools are evolving rapidly and the globin gene locus is the perfect model for gene editing optimisation. This collaboration between UNSW Sydney and CSL aims to bring together our combined expertise and new technologies to develop an optimal platform for genetic modification in a red blood cell line. Simultaneously, this project aims to generate fundamental insights into mechanisms of human gene regulation. The technological and biological outcomes of this project will be of benefit for future gene editing applications.Read moreRead less
Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pa ....Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pathogenic behaviour and biomass production.Read moreRead less
Novel technology platform for gene delivery into intact cells. Delivery of DNA to cells is a crucial but highly inefficient process. This project will develop a way to manipulate the genetic code of cells efficiently and to easily generate stem cells from normal adult cells, thus avoiding controversial embryonic harvesting. This new technology will have potential benefits for research, agriculture and humans alike.
Tracking factor footprints to reveal the intricacy and control of translation initiation. Messenger ribonucleic acid (RNA) translation is required for all of life and knowledge of how it works is central to modern life sciences. This project will develop novel ways of studying translation, generating entirely new descriptions of its inner workings that may transform knowledge of gene function and its use in medical and biotechnological processes.
Discovery Early Career Researcher Award - Grant ID: DE190100116
Funder
Australian Research Council
Funding Amount
$415,737.00
Summary
Cell types and cell states revealed by single-cell regulatory networks. This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically recons ....Cell types and cell states revealed by single-cell regulatory networks. This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically reconstruct gene regulatory networks. These networks are the molecular basis for understanding human cells. This projects outcomes intend to include the first reference single-cell regulatory database and novel methods and software to predict individual cells. This project will contribute to advancing Australia's capabilities in single-cell, precision medicine, and big biological data analysis leading to significant scientific, societal and commercial benefits.Read moreRead less