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.
Mutational genetic variance and the fitness optimum. Mutation and selection are ubiquitous forces in nature, but we do not understand how genetic variation produced by mutation is maintained in the presence of selection that depletes it. The recent discovery of apparent stabilising selection on traits with high levels of genetic variation provides a new approach to understanding this paradox.
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
The genetics of ageing in human populations. This project aims to test whether genetic differences among individuals influence changes in cognition and physiological function in later life. Differences among individuals, in terms of distinct changes in their physiology as they age, lead to differences in their susceptibility to negative later-life outcomes and ultimately to differences in lifespan. Using a combination of genomic techniques, novel data analysis methods, and the largest dataset of ....The genetics of ageing in human populations. This project aims to test whether genetic differences among individuals influence changes in cognition and physiological function in later life. Differences among individuals, in terms of distinct changes in their physiology as they age, lead to differences in their susceptibility to negative later-life outcomes and ultimately to differences in lifespan. Using a combination of genomic techniques, novel data analysis methods, and the largest dataset of its kind, the project intends to identify the genomic regions and biochemical pathways associated with these changes, and to test for genetic associations between early-life reproduction and later-life outcomes. This is crucial to understanding, predicting and managing transitions across different human life stages.Read moreRead less
A new statistical framework to understand the biological basis of Ankylosing Spondylitis and other complex diseases. Ankylosing Spondylitis (AS) is a highly heritable and common inflammatory arthritis which causes stiffness and progressive fusion of the spine, decreased quality of life and reduced lifespan. There is no known cure for the condition. This project aims to identify genes and biological pathways involved in AS pathogenesis using a new statistical framework that will be applied to tho ....A new statistical framework to understand the biological basis of Ankylosing Spondylitis and other complex diseases. Ankylosing Spondylitis (AS) is a highly heritable and common inflammatory arthritis which causes stiffness and progressive fusion of the spine, decreased quality of life and reduced lifespan. There is no known cure for the condition. This project aims to identify genes and biological pathways involved in AS pathogenesis using a new statistical framework that will be applied to thousands of individuals with the disease. This project will improve understanding of the underlying mechanisms involved in AS pathophysiology, inform development of new drug treatments for the condition, and create a powerful new statistical approach that can be used to identify biological pathways which are important in the pathogenesis of other complex diseases.Read moreRead less
Understanding rapid adaptation to new environments. This project aims to improve understanding of the process of rapid adaptation. Through both in situ changes and movement of individuals, populations are increasingly encountering new environments, where they risk extinction or become invasive. The fate of populations is determined by how rapidly they adapt to their new environmental conditions. Recent theory predicts adaptation to novel environments is fastest when selection acts on environment ....Understanding rapid adaptation to new environments. This project aims to improve understanding of the process of rapid adaptation. Through both in situ changes and movement of individuals, populations are increasingly encountering new environments, where they risk extinction or become invasive. The fate of populations is determined by how rapidly they adapt to their new environmental conditions. Recent theory predicts adaptation to novel environments is fastest when selection acts on environment-specific genetic variation. This project will test this prediction using novel manipulations. Better understanding of adaptation will allow better prediction of the risks of both extinction and invasiveness of natural populations.Read moreRead less
Variation in the arginine vasopressin 1a receptor (AVPR1a) gene, the social environment, general health and wellbeing. The project aims to investigate how the arginine vasopressin 1a gene affects gene expression and influences social behaviour and ultimately health and wellbeing. This research will contribute to understanding the importance of individual differences in social policy and interventions aimed at improving health and wellbeing.
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
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.