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
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
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
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
Understanding protein-nucleic-acid interaction networks in cold-adapted archaea. The aim of this project is to learn how microorganisms can function effectively in naturally cold environments. Results will determine how important cellular processes occur when microorganisms grow in the cold, and hence why they are able to maintain a natural balance in ecosystems such as Antarctica.
Silencing the X chromosome: why and how. The project aims to understand why we have X chromosome inactivation, and examine the fundamental molecular mechanisms of how it is achieved. The project will explore RNA-mediated epigenetic modification of whole chromosomes with innovative molecular methods in placental mammals, and also iconic Australian mammals, to transform our understanding of X chromosome inactivation. Further understanding whole chromosome silencing, will inform future research int ....Silencing the X chromosome: why and how. The project aims to understand why we have X chromosome inactivation, and examine the fundamental molecular mechanisms of how it is achieved. The project will explore RNA-mediated epigenetic modification of whole chromosomes with innovative molecular methods in placental mammals, and also iconic Australian mammals, to transform our understanding of X chromosome inactivation. Further understanding whole chromosome silencing, will inform future research into potential therapies for chromosomal trisomies.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100114
Funder
Australian Research Council
Funding Amount
$560,000.00
Summary
High Throughput Cell Genomics Centre. High throughput cell genomics centre: This project will establish a high throughput cell genomics centre comprising a Fluidigm C1™ Single-Cell AutoPrep and BioMark™ HD system providing researchers with the most innovative approach to single cell and small population analyses. The instruments will enable the unique capability to conduct single cell transcriptome analysis and high throughput gene expression, SNP genotyping and copy number variation analysis as ....High Throughput Cell Genomics Centre. High throughput cell genomics centre: This project will establish a high throughput cell genomics centre comprising a Fluidigm C1™ Single-Cell AutoPrep and BioMark™ HD system providing researchers with the most innovative approach to single cell and small population analyses. The instruments will enable the unique capability to conduct single cell transcriptome analysis and high throughput gene expression, SNP genotyping and copy number variation analysis as well as validation of next generation sequencing data. The information generated is crucial to advancing knowledge in important research fields including infection and immunity, regenerative medicine, immune responses, biomarker discovery, drug discovery, biotechnology and agriculture.Read moreRead less
How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly iden ....How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly identified molecular diversity in the ribosomal RNA gene repeats. Outcomes include new paradigms for how the ribosomal RNA gene repeats drive protein synthesis and genome structure, and a blueprint to develop novel genomics applications for human health, biotechnology, and agriculture.Read moreRead less
The role of chlorophyll f in photosynthesis. The knowledge of energetic limits of oxygenic photosynthesis will provide opportunities for improving the efficiency of photosynthesis by using a wider range of the solar spectrum. This project aims to understand the roles of newly discovered chlorophyll f in central photoreactions and its biosynthesis.