Role Of Common Genetic Variation Driving Single Cell Transcriptional Heterogeneity Across The Cardiomyocyte Lineage
Funder
National Health and Medical Research Council
Funding Amount
$882,698.00
Summary
In human tissues, most mature cells develop by differentiation from pluripotent stem cells. As they undergo differentiation, their transcriptional activity changes dramatically. Many of the genetic causes for these changes are unknown, which limits research in the use of stem cells for treating and modelling disease. This proposal addresses this problem with cardiac muscle cell differentiation by utilising recent developments in biotechnology that enables individual cells to be sequenced.
Determining Shared Genetic Control Of RNA Transcription Across 45 Human Tissue Types
Funder
National Health and Medical Research Council
Funding Amount
$264,684.00
Summary
There is strong evidence that much of the genetic susceptibility to disease acts through altering way genes are turned into proteins via RNA transcripts. One important problem in using transcriptomic data to study diseases is that the genetic control of RNA transcription is known to vary between tissues. This study will use new methods and RNA data from 45 human tissues to show the degree of common genetic control for each RNA transcript between each pair of tissues.
Evolutionary Genomics Approaches For Studying Acquisition Of Drug Resistance In Tumours
Funder
National Health and Medical Research Council
Funding Amount
$313,390.00
Summary
Chemotherapy often fails because some of the cells in tumour evolve resistance to the drugs the patient is given, causing relapse. We study how a tumour’s unstable genome and high rate of mutation drives its evolution by observing tumour cells in the laboratory as they evolve resistance to drugs and the genetic differences between resistant and sensitive cells. This work will help develop therapeutic strategies to prevent tumours from evolving resistance to chemotherapy.
Using Systems Biology To Model And Predict Human Diseases
Funder
National Health and Medical Research Council
Funding Amount
$423,326.00
Summary
In the last decade, technological advances have driven the study of biology towards the statistical and computational sciences. Researchers are now able to differentiate and quantify biomolecules at levels previously unimaginable, allowing us to study their interactions and relationships to health and disease in an unbiased, systems-level manner. With expertise in bioinformatics, biostatistics and systems biology, I am uniquely placed to address these challenges.
The genetics of four ancient 'Kings' of Sahul and Sunda. This project aims to recover all the genetic information from four ancient humans. Two of these iconic specimens come from Australia and two from Malaysia. We will sequence the entire DNA (genomes) and proteins (proteome) of Mungo Man (Willandra), the Yidinji King (Cairns), the Deep Skull (Borneo) and the Bewah specimen (Malaysian Peninsula). This will provide a better understanding of the settlement of Australia and new knowledge about th ....The genetics of four ancient 'Kings' of Sahul and Sunda. This project aims to recover all the genetic information from four ancient humans. Two of these iconic specimens come from Australia and two from Malaysia. We will sequence the entire DNA (genomes) and proteins (proteome) of Mungo Man (Willandra), the Yidinji King (Cairns), the Deep Skull (Borneo) and the Bewah specimen (Malaysian Peninsula). This will provide a better understanding of the settlement of Australia and new knowledge about the ancient people of Australasia and their relationship to other human populations worldwide. The research will use cutting-edge methods of DNA and protein sequencing of ancient human material and will provide critical reference genomes / proteomes that will anchor future research.Read moreRead less
The origins of Australia's non-Pama-Nyungan speaking people. This project aims to test the likelihood of multiple migrations into Australia before European arrival and determine if the phylogenetic relationships among non-Pama-Nyungan languages is mirrored by their speakers’ genomic phylogenetic relationships. The non-Pama-Nyungan First People of Australia speak an extraordinary number and diversity of Aboriginal languages, but the origins of these languages and the genomic diversity of the peop ....The origins of Australia's non-Pama-Nyungan speaking people. This project aims to test the likelihood of multiple migrations into Australia before European arrival and determine if the phylogenetic relationships among non-Pama-Nyungan languages is mirrored by their speakers’ genomic phylogenetic relationships. The non-Pama-Nyungan First People of Australia speak an extraordinary number and diversity of Aboriginal languages, but the origins of these languages and the genomic diversity of the people who speak them are only now starting to be understood. There is a remarkable concordance between the Pama-Nyungan languages and the genomic diversity of their speakers. This research could show whether genomes change languages or vice versa, or whether they evolve together over time.Read moreRead less
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: DE200100425
Funder
Australian Research Council
Funding Amount
$409,364.00
Summary
Genetic and Molecular Consequences of Non-Random Mating in Humans. This project aims to develop and apply novel statistical methods to quantify the effects on a large number of complex traits of two forms of non-random mating in humans, that is inbreeding and assortative mating. The innovation in this proposal lies in integrating multi-level phenotypes with next-generation sequencing data collected in more than half a million study participants. Expected outcomes of this research include advance ....Genetic and Molecular Consequences of Non-Random Mating in Humans. This project aims to develop and apply novel statistical methods to quantify the effects on a large number of complex traits of two forms of non-random mating in humans, that is inbreeding and assortative mating. The innovation in this proposal lies in integrating multi-level phenotypes with next-generation sequencing data collected in more than half a million study participants. Expected outcomes of this research include advanced analytical methods to perform this integration and dissection of the biological consequences of non-random mating in humans at an unprecedented phenotypically detailed scale. The benefit of this project will be to identify new drivers of mate choice that can contribute to economic, health and social inequalities. Read moreRead less
Discovering sex determining genes in a reptile with genetic and environmental sex determination. Reptile sex determination is particularly fascinating because it is triggered either by genes on sex chromosomes or by the nest temperature. This project will identify and characterise candidate sex determining genes in a model reptile to understand how genes control sexual differentiation and how they interact with temperature.