Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understan ....Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understanding of how decision-making evolves in healthy ageing, and a tool based on genetic scores and computational modelling to predict an individual's trajectory of cognitive function. This could help identify individuals who are at risk for cognitive decline, which could then inform better interventions.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL180100072
Funder
Australian Research Council
Funding Amount
$3,460,832.00
Summary
Causes and consequence of human trait variation. This project aims to exploit the availability of Big Data from the genomics revolution to understand the relationship between the genome, the environment and complex human traits. New statistical methods and user-friendly software tools will be developed and applied to datasets on millions of individuals to generate new knowledge on human life history variation and healthy ageing. This project will position Australia to benefit from rapid advances ....Causes and consequence of human trait variation. This project aims to exploit the availability of Big Data from the genomics revolution to understand the relationship between the genome, the environment and complex human traits. New statistical methods and user-friendly software tools will be developed and applied to datasets on millions of individuals to generate new knowledge on human life history variation and healthy ageing. This project will position Australia to benefit from rapid advances in genomic technologies, to build and sustain critical capacity in statistical genetics, and better understand the causes and consequence of individual differences in human traits from genetic and environmental factors across the entire human lifespan.Read moreRead less
Some like it hot: invasive species, hybridisation, and a warming world. Temperatures are rising and invasive species are becoming more prevalent. This project aims to understand how climate change and hybridisation between exotic and native marine species leads to rapid adaptation. Using integrative approaches from genomics and physiology and focusing on Australian blue mussels, this proposal will test leading hypotheses about how climate change and hybridisation can enable rapid adaptation and ....Some like it hot: invasive species, hybridisation, and a warming world. Temperatures are rising and invasive species are becoming more prevalent. This project aims to understand how climate change and hybridisation between exotic and native marine species leads to rapid adaptation. Using integrative approaches from genomics and physiology and focusing on Australian blue mussels, this proposal will test leading hypotheses about how climate change and hybridisation can enable rapid adaptation and the spread of exotic species. Outcomes will include strategies for minimising impacts of invasive mussels and boosting warm-temperature adaptation in aquaculture mussels and restored shellfish reefs. This project will yield fundamental insights into how marine species can quickly adapt to warming seas.Read moreRead less
Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un ....Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.Read moreRead less
Tracking origins and spread of Crown-of-Thorns Seastars on the Great Barrier Reef. This proposal aims to uncover the source reefs for Crown-of-Thorns Seastars (CoTS) outbreaks and the main routes of spread through the Great Barrier Reef. Coral eating CoTS pose a significant threat to the Great Barrier Reef. Using population genomics, invasive species genetics, and epidemiology and drawing upon extensive collections of adults and larvae dating from the 1980’s onwards, this project will test promi ....Tracking origins and spread of Crown-of-Thorns Seastars on the Great Barrier Reef. This proposal aims to uncover the source reefs for Crown-of-Thorns Seastars (CoTS) outbreaks and the main routes of spread through the Great Barrier Reef. Coral eating CoTS pose a significant threat to the Great Barrier Reef. Using population genomics, invasive species genetics, and epidemiology and drawing upon extensive collections of adults and larvae dating from the 1980’s onwards, this project will test prominent hypotheses about outbreak origins and subsequent spatial spread of CoTS via larval dispersal. The project expects to clarify the locations and timing of long distance dispersal pathways and to test whether larval detection near reefs can provide an early warning for local outbreaks on these same reefs.Read moreRead less