Genetics To Function: Identifying Genes Mediating The Biological Effects Of Type 2 Diabetes GWAS SNPs
Funder
National Health and Medical Research Council
Funding Amount
$438,075.00
Summary
Rates of type 2 diabetes are rising dramatically, and current efforts are failing to stem its progression. More information about why the disease develops is urgently needed. We apply an innovative approach to accelerate the latest genetic discoveries in diabetes to understand the mechanism behind the disease process. This knowledge will lead to new ways to control diabetes through development of novel therapies.
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.
Chronic pain will affect most of us at one point in our life, and there is a need for new drugs to manage this condition. The goal of this project is to use a combined state-of-the-art genetics approaches in fruit flies, mice, rats, and humans, to identify and validate new genes that contribute to chronic pain, with the clear long term possibility to develop new strategic therapies to treat chronic pain disease.
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.
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.
Was an ancient bird-like sex chromosome system ancestral to reptiles and mammals? Recent discoveries reveal amazing similarity in the sex chromosomes of distantly related animals. This project will use advanced DNA technology to explore diverse sex chromosomes in reptiles to discover whether this signifies ancient and unsuspected common ancestry, or the convergent redeployment of genes and chromosomes predisposed to determine sex.
Mechanistic And Functional Drivers Of Neochromosome Evolution
Funder
National Health and Medical Research Council
Funding Amount
$763,771.00
Summary
Neochromosomes are Frankenstein chromosomes--massive extra chromosomes that are stitched together from 100s of pieces of normal chromosomes. They are found in 3% of cancers, but are common in some types, such as liposarcoma. We have mapped their structure and found they form through punctuated chromosome shattering and gene amplification. We will investigate the precise molecular mechanisms that cause this and the recurrent transcriptional and epigenetic drivers lead to their formation.
Harnessing The Power Of Genomics To Understand Disease
Funder
National Health and Medical Research Council
Funding Amount
$470,144.00
Summary
The last 10 years have seen a revolution in our ability to sequence DNA and related molecules. This technological advancement has the potential to transform our knowledge of the mechanisms of development and disease. In order to harness the power of this technology, advances in analysis strategies and methods are critical to extract the important insights into these massive data sets. My research will lead the way in several major areas of bioinformatics research.
Expanding and resolving the earliest modern human divergence through DNA. This project aims to expand and resolve the earliest modern human divergence. Although it is clear modern humans emerged from Africa, there is no consensus on the timeline of modern human evolution. Archaeological evidence suggests two contenders: east and southern Africa. Genetic data supports the latter; the team’s own data shows that the southern African KhoeSan click-speaking forager peoples have the oldest extant huma ....Expanding and resolving the earliest modern human divergence through DNA. This project aims to expand and resolve the earliest modern human divergence. Although it is clear modern humans emerged from Africa, there is no consensus on the timeline of modern human evolution. Archaeological evidence suggests two contenders: east and southern Africa. Genetic data supports the latter; the team’s own data shows that the southern African KhoeSan click-speaking forager peoples have the oldest extant human lineages. This project will generate large mitochondrial genome and whole genome sequence data for KhoeSan lineages. This is expected to narrow the time of modern human emergence.Read moreRead less