Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of diff ....Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of difficult but important traits such as disease resistance, reduced green-house gas emissions and product quality. The same methods can be extended to improve genetic improvement in plants and better prediction of human disease risk. 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
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
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.
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
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less