The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your
interaction with the ARDC and use of our national research infrastructure and services. The survey will take
approximately 5 minutes and is anonymous. It’s open to anyone who uses our digital research infrastructure
services including Reasearch Link Australia.
We will use the information you provide to improve the national research infrastructure and services we
deliver and to report on user satisfaction to the Australian Government’s National Collaborative Research
Infrastructure Strategy (NCRIS) program.
Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.
Complete the 5 min survey now by clicking on the link below.
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
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.
Developing Zn-dense, high-yielding wheat by molecular marker technology. The objective of this project is to identify pathways leading to the accumulation of zinc — an important element for human nutrition — in wheat. The project aims to provide biochemical and molecular markers for breeding programs that will facilitate the selection of superior breeding lines for improved human nutrition and seed health. This project builds on studies using a wheat diversity panel with 90 000 gene-based single ....Developing Zn-dense, high-yielding wheat by molecular marker technology. The objective of this project is to identify pathways leading to the accumulation of zinc — an important element for human nutrition — in wheat. The project aims to provide biochemical and molecular markers for breeding programs that will facilitate the selection of superior breeding lines for improved human nutrition and seed health. This project builds on studies using a wheat diversity panel with 90 000 gene-based single nucleotide polymorphism (SNP) markers, where zinc–SNP associations were identified. The project also builds on recent studies that show particular metabolites and macronutrients around anthesis are linked to improved grain zinc concentration at maturity.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
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.
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
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
Industrial Transformation Research Hubs - Grant ID: IH130200027
Funder
Australian Research Council
Funding Amount
$4,308,668.00
Summary
ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. This Research Hub, in partnership with wheat breeding companies, aims to deliver advanced technologies, germplasm and information to produce new stress tolerant varieties. Genetic diversity and novel traits will be introduced from exotic germplasm and high-throughput field-phenotyping tools will be deve ....ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. This Research Hub, in partnership with wheat breeding companies, aims to deliver advanced technologies, germplasm and information to produce new stress tolerant varieties. Genetic diversity and novel traits will be introduced from exotic germplasm and high-throughput field-phenotyping tools will be developed to assist in selection of superior lines. Strategic research will be targeted towards the development of wheat with combined heat and drought tolerance and maintenance of high grain protein.Read moreRead less
Discovery Indigenous Researchers Development - Grant ID: DI100100158
Funder
Australian Research Council
Funding Amount
$199,988.00
Summary
Climate change research: Can Sydney rock oysters adapt to chronic multigenerational exposure to ocean acidification and temperature?
. Our goal is to understand how long term exposure to climate change will affect oysters in an effort to climate-proof the Australian oyster industry. Oyster farming is worth more than $1 billion a year in retail sales and employs thousands of Australians. The future of this industry is threatened by climate change, particularly its impact on the reproduction an ....Climate change research: Can Sydney rock oysters adapt to chronic multigenerational exposure to ocean acidification and temperature?
. Our goal is to understand how long term exposure to climate change will affect oysters in an effort to climate-proof the Australian oyster industry. Oyster farming is worth more than $1 billion a year in retail sales and employs thousands of Australians. The future of this industry is threatened by climate change, particularly its impact on the reproduction and development of oysters. Our study will identify how oysters respond to chronic multigenerational exposure to ocean acidification and temperature, & identify physiological mechanisms and genes associated with climate change adaptation. This work will maintain Australia's position at the forefront of climate change research on marine ecosystems.Read moreRead less