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
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
How infectious diseases became ecological: a global history. This project aims to investigate the conceptual history of disease ecology. During the twentieth century, infectious diseases researchers, many of them Australian, drew on animal ecology and evolutionary theory so our knowledge of how germs and parasites interact with human hosts might become more dynamic and broadly biological. The goal of this transnational historical research is to clarify the connections of animal ecology and evolu ....How infectious diseases became ecological: a global history. This project aims to investigate the conceptual history of disease ecology. During the twentieth century, infectious diseases researchers, many of them Australian, drew on animal ecology and evolutionary theory so our knowledge of how germs and parasites interact with human hosts might become more dynamic and broadly biological. The goal of this transnational historical research is to clarify the connections of animal ecology and evolutionary biology with biomedicine, and show how contemporary understandings of biosecurity and disease preparedness emerged from this conjunction.Read moreRead less
Revolutionising real-time genomic epidemiology in urban wastewater systems. This project aims to develop a real-time and high-resolution genomic tool to monitor and track pathogens in urban wastewater systems based on the portable third-generation sequencing platform. Pathogens sicken hundreds of millions of people, cost the global economy tens of billions of dollars annually, and are one of the leading causes of death worldwide. The current epidemiology approach, and data, are retrospective and ....Revolutionising real-time genomic epidemiology in urban wastewater systems. This project aims to develop a real-time and high-resolution genomic tool to monitor and track pathogens in urban wastewater systems based on the portable third-generation sequencing platform. Pathogens sicken hundreds of millions of people, cost the global economy tens of billions of dollars annually, and are one of the leading causes of death worldwide. The current epidemiology approach, and data, are retrospective and thus insufficient for timely intervention. Integrated with wastewater analysis for pharmaceuticals targeting pathogens, the sewer-based epidemiology approach of this project will greatly enhance public health by achieving early detection and informed control of infectious diseases.Read moreRead less