Integrating Population Genetics, In Silico And Functional Data To Enable Precision Medicine In The Epilepsies
Funder
National Health and Medical Research Council
Funding Amount
$425,048.00
Summary
Epilepsy has proven to be a very genetically tractable neurological disorder. However, while we now routinely identify causal mutations in out patient populations, the process of understanding which are contributing versus which are benign background variation becomes critical as we move towards a period where precision medicine is becoming a reality for some patients. This work will focus on bringing together multiple levels of data to explore integrated models of predicting epilepsy variants.
The Identification Of New Epilepsy Genes By Whole Genome Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$1,069,803.00
Summary
Epilepsy is a common brain disorder affecting approximately 50 million people worldwide. The most common type of epilepsy is known as focal epilepsy. Our group has recently shown the importance of genetic mutations as causes of focal epilepsy. Using modern genomic technologies we will identify new genes in focal epilepsy. We will make animal models of these genes to better understand the pathobiology of epilepsy so that new treatments can be developed for patients.
Whole Genome Pharmacogenomics Study Of Susceptibility Of Birth Defects In Children Born To Mothers Taking Anti-Epileptic Drugs
Funder
National Health and Medical Research Council
Funding Amount
$663,160.00
Summary
This project will investigate for genes that determine why certain women have an increased risk of having a baby with a birth defect if they become pregnant while being treated with a medication for epilepsy. Subjects will be recruited from the Australian Pregnancy Register, the findings validated using subjects from the UK Epilepsy and Pregnancy Register. The study will comprehensively examine for both common and rare changes in genes across the entire human genome.
Using Next-generation Sequencing Technology To Identify Genetic Determinants Of Epilepsy And Sporadic Epilepsy Prognosis
Funder
National Health and Medical Research Council
Funding Amount
$322,282.00
Summary
Recent advances in high-throughput, next-generation, DNA sequencing allows biologists to simultaneously analyse the differences in thousands of different genes across affected and unaffected individuals. However, it produces an overwhelming amount of data and making sense of this deluge of data is a current challenge. Overcoming this challenge will enable scientific discoveries of pathogenic variants of disease, potentially providing an opportunity for targeted drug development.
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
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.
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