Statistical Methods For Identifying Structural Variation In Tumour Genomes Using Next Generation Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$243,458.00
Summary
New DNA sequencing technology can sequence a tumour genome affordably in 2 weeks. This re-sequencing data can be used to find small mutations and large-scale chromosomal rearrangements that together are the drivers of cancer. These may one day be used to guide cancer therapy. This project will develop new algorithms for finding mutations and apply these to discover the genetic basis of drug resistance in a model lymphoma system.
Detection Of Somatic Mutations In Sporadic Epilepsies
Funder
National Health and Medical Research Council
Funding Amount
$1,256,166.00
Summary
Finding genetic causes of epilepsies is essential for refining treatments and genetic counseling. Genetic mutations may occur after fertilization (somatic mutations). These can be difficult to detect by routine genetic tests. We aim to identify somatic mutations by: very deep sequencing of blood to find low concentrations of mutations, analysing DNA from the cerebrospinal fluid, and analysing DNA obtained from the back of the nose which is closely related to brain tissue.
A Worldwide Study Of Cancer Risk For Lynch Syndrome
Funder
National Health and Medical Research Council
Funding Amount
$710,761.00
Summary
People with the genetic Lynch syndrome are more likely to get cancer but we cannot accurately predict who will get cancer and when. Doctors need this information to improve cancer prevention. Large collaborative studies are needed for this research. We have agreement from the 115 researchers to combine, into a single resource, 8,863 family trees of Lynch syndrome. We will analyse this data to determine the risk of cancer and whether it differs by sex, age, or nationality.
A Functional Assay To Classify Genetic Variants In Lynch Syndrome
Funder
National Health and Medical Research Council
Funding Amount
$368,195.00
Summary
At least one person in every 1000 is affected by Lynch syndrome, in which faulty DNA repair machinery causes high rates of cancer. People with Lynch syndrome can have their risk of cancer cut substantially with regular screening. However, we often struggle to understand whether people with 'non-standard' DNA sequences in particular genes actually have Lynch syndrome. This project develops a simple test that will tell clinicians whether a given sequence change relates to Lynch syndrome or not.
Expanding Diagnostic Approaches For Lynch Syndrome
Funder
National Health and Medical Research Council
Funding Amount
$1,269,355.00
Summary
Currently, there are ~1,000 families who have attended Family Cancer Clinics across Australia who have the hallmarks of having Lynch syndrome, a hereditary bowel cancer syndrome, but who have no gene defect identified, i.e. their cancer is unexplained. Clinicians are challenged by these “Lynch-like” patients as their family cancer risk is unknown. Our research has identified new gene defects in Lynch-like patients. Our aim is to optimise clinical testing approaches for Lynch-like patients.
New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This ....New Insights on Modelling Time Trends with Panel Data: Theory and Practice. This project aims to tackle important challenges in time trend modelling by taking advantage of panel data structures. This project expects to propose flexible models in time trend modelling to retrieve reliable inference. The expected outcomes include innovative econometric models and methods that have a wide range of applications, and are particularly suited for empirical problems within large and complex systems. This will provide significant benefits to all fields in which data displays any form of trending behaviour. The proposed model is used to evaluate the economic consequences of climate change and global housing market contagion, which provide strong evidence-based insights to the environmental and economic policies in Australia.Read moreRead less
Constrained and Stable Solutions of Nonlinear and Semismooth Equations. In this project, comprehensive models for designing safe power system parameters will be proposed, efficient algorthms for solving these models will be constructed. The new models and algorithms in this project will provide efficient tools to prevent catastrophic events in power systems, which is related with national security. This project will also strengthen collaboration of Australian applied
mathematians with inter ....Constrained and Stable Solutions of Nonlinear and Semismooth Equations. In this project, comprehensive models for designing safe power system parameters will be proposed, efficient algorthms for solving these models will be constructed. The new models and algorithms in this project will provide efficient tools to prevent catastrophic events in power systems, which is related with national security. This project will also strengthen collaboration of Australian applied
mathematians with international researchers and engineering scientists. This is important for the advance of science and technology in
Australia.Read moreRead less
Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particl ....Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.Read moreRead less
Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and educa ....Identification and inference in nonparametric models. This project will develop reliable methods for identification, estimation and inference of nonparametric models for the evaluation of economic policies on outcome variables of interest. This econometric methodology will allow a better understanding of the quantitative effects of an economic policy which will result in better informed policy decisions. The results will have applications to labour market policies, health care policies and education policies among others. The project will also provide national benefits in terms of building up the local stock of researchers trained in the area of identification and estimation of nonparametric models; it will further improve the international reputation that Australia has in econometric theory.Read moreRead less
Dynamics of eigenvalue/eigenspace algorithms with applications to signal processing. Many problems in signal and systems lead naturally to an eigenvalue/eigenspace determination and tracking problem; for example (acoustic) echo-cancellation, crosstalk suppression in ADSL modems, direction of arrival determination with an array of sensors, linear system identification etc. Exploiting methods from global analysis and dynamical systems theory we will study the available algorithms for eigenspace de ....Dynamics of eigenvalue/eigenspace algorithms with applications to signal processing. Many problems in signal and systems lead naturally to an eigenvalue/eigenspace determination and tracking problem; for example (acoustic) echo-cancellation, crosstalk suppression in ADSL modems, direction of arrival determination with an array of sensors, linear system identification etc. Exploiting methods from global analysis and dynamical systems theory we will study the available algorithms for eigenspace determination to characterise their computational efficiency, accuracy and effectiveness in various data scenarios. The analysis will lead to improved designs for eigenvalue/eigenspace algorithms, as well as design tools to engineer algorithms to specific situations.Read moreRead less