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
Sexual antagonism and the consequences of sex-specific selection. Males and females arise from essentially the same genome yet are selected in vastly different ways. This exposes gene pools to alternate episodes of feminising- and masculinising-selection, thereby promoting Sexually Antagonistic (SA) evolution. Sex chromosomes are predicted to play an important role in SA evolution because sex-linkage allows for gender-specific gene expression, but data on the role of sex-linked genes are limited ....Sexual antagonism and the consequences of sex-specific selection. Males and females arise from essentially the same genome yet are selected in vastly different ways. This exposes gene pools to alternate episodes of feminising- and masculinising-selection, thereby promoting Sexually Antagonistic (SA) evolution. Sex chromosomes are predicted to play an important role in SA evolution because sex-linkage allows for gender-specific gene expression, but data on the role of sex-linked genes are limited to Drosophila, a male heterogametic (XY) model. This project will determine the consequences of SA selection in the butterfly Eurema hecabe (a female ZW heterogamete) using experimental evolution and the feminising endosymbiont Wolbachia to force male genomes through bouts of feminising selection.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
Evolution, selection and estimation of polygenic epistatic networks in quantitative traits. Traits observed in organisms, such as height, are the result of an individual's genes and how they relate to the environment. But genes do not act alone; they work together in complex interactions. This project aims to understand these interactions and their role in animal production and human disease.
The behaviour-genetics of NAPLAN data: Increasing power for complex analyses. This longitudinal behaviour-genetic study of the National Assessment Program – Literacy and Numeracy (NAPLAN) results at Grades 3, 5, 7 and 9 will continue to document the influence of genes and environmental factors on individual differences in school achievement. It aims to strengthen the longitudinal aspects of the data, allowing the project to identify sources of stability and change across the seven school years o ....The behaviour-genetics of NAPLAN data: Increasing power for complex analyses. This longitudinal behaviour-genetic study of the National Assessment Program – Literacy and Numeracy (NAPLAN) results at Grades 3, 5, 7 and 9 will continue to document the influence of genes and environmental factors on individual differences in school achievement. It aims to strengthen the longitudinal aspects of the data, allowing the project to identify sources of stability and change across the seven school years of the NAPLAN. It also aims to increase numbers in the low and high tails of the score distributions, creating a clearer picture of deficits like dyslexia and dyscalculia, and allow for firmer identification of gene-by-environment interactions. The project aims to further illuminate any differential effectiveness of schools and teachers on student outcomes, a topic of high public interest.Read moreRead less
Expanding gene-environment causality in evolutionary genetics. This project aims to investigate how environmental experiences shape phenotypes, engender variance in populations and ultimately contribute to evolution. It targets new discoveries for how environmental effects can multiply throughout ontogeny and/or propagate across generations. Although widely speculated to support new evolutionary paradigms, such knowledge lacks scrutiny according to the formal metric of quantitative genetics. Thi ....Expanding gene-environment causality in evolutionary genetics. This project aims to investigate how environmental experiences shape phenotypes, engender variance in populations and ultimately contribute to evolution. It targets new discoveries for how environmental effects can multiply throughout ontogeny and/or propagate across generations. Although widely speculated to support new evolutionary paradigms, such knowledge lacks scrutiny according to the formal metric of quantitative genetics. This project seeks to expose guppy pedigrees to unique manipulations and reconcile adaptive evolution across captive and wild populations. The outcome is expected to address knowledge gaps in the life and human sciences and potentially inform goals in primary production and conservation.Read moreRead less
Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and meth ....Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.Read moreRead less
Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key featur ....Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key feature in biology, which relates to dissecting the complex mechanism of association and interaction. The proposed statistical model implemented in a context of a novel design based on multiple GWAS data sets is a paradigm shifting-tool with applications to multiple industries.Read moreRead less