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
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.
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.
Identifying the diversity and evolution of loci associated with adaptation to aridity/heat and salinity in ancient cereal crops. This project will use ancient grains of wheat, barley and rye to find 'lost' genetic diversity at key genes associated with resistance to aridity, salt and disease. This project will make the proteins of key genes, and study their interaction with the environment over time by measuring ions in the grains to reveal the ancient environmental conditions.
Discovery Early Career Researcher Award - Grant ID: DE130100614
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Novel statistical algorithms and methods to quantify and partition pleiotropy between complex traits in populations. A fundamental question in biology is how common genetic effects are shared between traits or groups. For example, is cognition or human behaviour genetically identical across genders or across human population groups? This project will address these questions using multiple independent genome-wide association studies.
Phenotypic profiling from DNA using genetic and epigenetic information. The project intends to quantify how much information about a person can be inferred from a DNA sample. A DNA sample contains epigenomic information additional to the genome sequence. This information can reflect age and the past and present lifestyle of the individual whose sample it is. The project aims to quantify the accuracy of lifestyle and phenotypic prediction from DNA. Existing genome-wide genotype and methylation ar ....Phenotypic profiling from DNA using genetic and epigenetic information. The project intends to quantify how much information about a person can be inferred from a DNA sample. A DNA sample contains epigenomic information additional to the genome sequence. This information can reflect age and the past and present lifestyle of the individual whose sample it is. The project aims to quantify the accuracy of lifestyle and phenotypic prediction from DNA. Existing genome-wide genotype and methylation array data from thousands of blood samples from human subjects will be statistically analysed to develop and validate predictors for chronological age, smoking, caffeine use, pesticide exposure, diet and body mass index. Potential applications of epigenomic prediction are widespread, ranging from forensics to ecology.Read moreRead less
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.
Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and meth ....Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.Read moreRead less