Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100154
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
The Advanced DNA Identification and Forensics Facility. The advanced DNA identification and forensics facility:
The project aims to establish a national integrated facility for cutting-edge forensic genetic research, resources and expertise in wildlife, forest and environmental DNA identification to improve our capacity to identify unknown biological material. The project’s goal will be to enhance synergies between academic research, service delivery and forensic application of DNA identificati ....The Advanced DNA Identification and Forensics Facility. The advanced DNA identification and forensics facility:
The project aims to establish a national integrated facility for cutting-edge forensic genetic research, resources and expertise in wildlife, forest and environmental DNA identification to improve our capacity to identify unknown biological material. The project’s goal will be to enhance synergies between academic research, service delivery and forensic application of DNA identification technologies, addressing vital questions such as: From which individual or species did this material originate? Where in the world is it from? Is it legal? The proposed facility may deliver applied outcomes for government, the criminal justice system, and industry, such as improved pest and threatened species identification; biosecurity, prosecutions of wildlife crime and illegal logging; and missing person and disaster victim identification.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
Evolution and function of mammalian sex chromosomes. Research on iconic Australian mammals has profoundly reshaped our understanding of reproductive biology and sex chromosome evolution. In this project we combine unique expertise, international collaboration and novel genetic information about Australia's unique egg-laying mammals (echidna and platypus) to investigate major aspects of reproduction. This work will address fundamental aspects of sex chromosome biology and advance our understandin ....Evolution and function of mammalian sex chromosomes. Research on iconic Australian mammals has profoundly reshaped our understanding of reproductive biology and sex chromosome evolution. In this project we combine unique expertise, international collaboration and novel genetic information about Australia's unique egg-laying mammals (echidna and platypus) to investigate major aspects of reproduction. This work will address fundamental aspects of sex chromosome biology and advance our understanding of mammalian reproduction. The knowledge gained will have application in captive breeding and conservation of these extraordinary Australian mammals. The project also provides opportunity to train research students in cutting edge molecular biology and informatics.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