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.
A genomic approach to understanding the maintenance of genetic variation under sexual selection. Using a model Australian species, this project will dissect the linkages between DNA sequence variation, gene expression, phenotypic traits and fitness in a natural population. Data will facilitate powerful tests of evolutionary processes thought to maintain genetic variation in complex traits.
The contribution of pleiotropic mutation to genetic variation and evolution. This project aims to provide an in-depth characterization of pleiotropic effects across many traits, including fitness, in an outbred population of the fly, Drosophila serrata. The potential for one gene to affect many traits, pleiotropy, has been recognised for over 100 years. Pleiotropy is expected to underlie diverse biological phenomena, including evolution and age-related human diseases. Despite this, the contribut ....The contribution of pleiotropic mutation to genetic variation and evolution. This project aims to provide an in-depth characterization of pleiotropic effects across many traits, including fitness, in an outbred population of the fly, Drosophila serrata. The potential for one gene to affect many traits, pleiotropy, has been recognised for over 100 years. Pleiotropy is expected to underlie diverse biological phenomena, including evolution and age-related human diseases. Despite this, the contribution of pleiotropy to variation among individuals in appearance and in fitness remains poorly understood. By measuring the extent of pleiotropy and its fitness consequences, this project aims to advance understanding of how mutation and selection shape genetic variation and evolutionary potential in natural populations.Read moreRead less
Dissecting natural variation in sexually dimorphic gene expression. This project aims to understand the origins of sex differences by dissecting heritable variation in sexually dimorphic gene expression. Sexual dimorphism constitutes a large fraction of phenotypic diversity and arises mainly from sex differences in gene expression that permit males and females of a species to escape sexual conflict caused by a shared genome. The project uses multi-population quantitative genetics and allele-spec ....Dissecting natural variation in sexually dimorphic gene expression. This project aims to understand the origins of sex differences by dissecting heritable variation in sexually dimorphic gene expression. Sexual dimorphism constitutes a large fraction of phenotypic diversity and arises mainly from sex differences in gene expression that permit males and females of a species to escape sexual conflict caused by a shared genome. The project uses multi-population quantitative genetics and allele-specific expression assays to merge the studies of sex-specific local adaptation and sexually dimorphic regulatory variation. The project will help to understand how cis- and trans- regulatory factors can affect natural variation differently in males and females, shaping their phenotypic similarities and differences.Read moreRead less
Resolving genomic sexual conflicts via sexually dimorphic gene expression. Using powerful genomic technology this project aims to assess the strength of regulatory constraints between males and females and determine whether cis-regulatory mutations help to resolve them. Sex-differences in traits like morphology, behaviour and disease susceptibility often involve sex-differences in the regulation of gene expression. To achieve optimal performance, males and females must express their genes at dif ....Resolving genomic sexual conflicts via sexually dimorphic gene expression. Using powerful genomic technology this project aims to assess the strength of regulatory constraints between males and females and determine whether cis-regulatory mutations help to resolve them. Sex-differences in traits like morphology, behaviour and disease susceptibility often involve sex-differences in the regulation of gene expression. To achieve optimal performance, males and females must express their genes at different levels. Theory and data suggest that for some genes this is not possible, and that males and females could each achieve higher performance if gene regulation became genetically uncoupled between them. It has been suggested that cis-regulatory mutations may be important for resolving regulatory incompatibilities within the genome.Read moreRead less
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
Characterising inheritance patterns of whole genome DNA methylation. This project aims to characterise epigenetic diversity and inheritance patterns in whole genome sequencing data from a unique human population. The project will employ the well-characterised Norfolk Island genetic isolate, cost-effective whole genome bisulphite sequencing technologies and advanced bioinformatics pipelines and statistical models. It will involve cross-discipline collaboration between human geneticists, epigeneti ....Characterising inheritance patterns of whole genome DNA methylation. This project aims to characterise epigenetic diversity and inheritance patterns in whole genome sequencing data from a unique human population. The project will employ the well-characterised Norfolk Island genetic isolate, cost-effective whole genome bisulphite sequencing technologies and advanced bioinformatics pipelines and statistical models. It will involve cross-discipline collaboration between human geneticists, epigeneticists, statistical geneticists and bioinformaticians. This project will advance our understanding of the interaction of genetics and epigenetics and their relationship to diversity and inheritance in humans.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