Most eye diseases have a genetic contribution, whether rare disorders affecting children such as retinoblastoma or congenital cataracts through to common disorders of older people such as myopia, age-related macular degeneration or glaucoma. We will continue our successful research to find genes that cause these diseases and use this to improve patient care and prevent blindness. We will work out how families can use this genetic information to participate in trials to develop new treatments.
High Penetrance Deleterious Mutations In Blinding Glaucoma
Funder
National Health and Medical Research Council
Funding Amount
$1,345,055.00
Summary
This project aims to identify the genes most commonly mutated in individuals with advanced glaucoma. Identification of such genes will lead to improved understanding of glaucoma pathogenesis, a better ability to predict risk, and the identification of drug targets for novel therapies.
Integrating Immunity And Genetics In Follicular Lymphoma To Establish A Prognostic Score Fit For The Modern Era
Funder
National Health and Medical Research Council
Funding Amount
$1,377,174.00
Summary
Follicular lymphoma (FL) is divided into early and advanced stages. Early stage FL is frequently cured, but there is no way to identify who will be cured and who won't. By contrast advanced stage FL is incurable. Our unique access to well-annotated clinical trial and population based cohorts allows us to perform a detailed biological comparison of early and advanced FL, to gain a deeper understanding of the impediments to eradicating the disease, and to predict outcome to conventional therapy.
The extent, causes and implications of pleiotropy among complex traits. The project seeks to understand how a DNA mutation can affect many characters or traits. Many traits are called complex because they are controlled by a very large number of genes, most of which have small effects. Complex traits include traits important in medicine (such as susceptibility to heart disease) and in agriculture (such as tenderness of meat). Because there are many genes affecting each trait, most genes have sma ....The extent, causes and implications of pleiotropy among complex traits. The project seeks to understand how a DNA mutation can affect many characters or traits. Many traits are called complex because they are controlled by a very large number of genes, most of which have small effects. Complex traits include traits important in medicine (such as susceptibility to heart disease) and in agriculture (such as tenderness of meat). Because there are many genes affecting each trait, most genes have small effects which makes them hard to identify. The fact that a mutation that has a small effect on a complex trait also has a larger effect on a less complex trait may help us to identify the mutation and use it in agriculture or medicine.Read moreRead less
The role of X-chromosome inactivation in quantitative trait variation. This project aims to develop methods and software that can be applied to genetic and genomic studies in animal breeding, wildlife protection, and humans. X-chromosome inactivation (XCI) is an important biological phenomenon but its effect on quantitative trait variation remains largely unknown. This project aims to develop novel statistical methods to estimate the X-linked genetic variance and the proportion that escapes XCI, ....The role of X-chromosome inactivation in quantitative trait variation. This project aims to develop methods and software that can be applied to genetic and genomic studies in animal breeding, wildlife protection, and humans. X-chromosome inactivation (XCI) is an important biological phenomenon but its effect on quantitative trait variation remains largely unknown. This project aims to develop novel statistical methods to estimate the X-linked genetic variance and the proportion that escapes XCI, and identify trait-associated genetic variants affected and not affected by XCI. The methods would then be applied to large datasets from genome-wide association studies for a large number of traits. Project outcomes may enable us to better understand the role of XCI in quantitative trait variation and gene expression in humans and animals.Read moreRead less
Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un ....Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.Read moreRead less
Cellular genomic approach to the pathogenesis of multiple sclerosis. This project compares the levels of gene usage in two important immune cell types between patients with multiple sclerosis and people who do not have the disease. It aims to identify the molecular basis for the disease, in order to identify new diagnostic, preventative and treatment options.
AusDiab 3: Emerging Risk Factors For And Long-term Incidence Of Cardio-metabolic Diseases
Funder
National Health and Medical Research Council
Funding Amount
$2,616,397.00
Summary
This study will track 11,000 Australian adults over 12 years to determine how many develop diabetes, obesity, kidney and heart disease. The study will develop ways to best predict those who are going to develop these conditions before they have arisen, and will explore a range of novel risk factors to better understand these conditions.
Genome-wide Association Study (GWAS) For Juvenile-onset Myopia And Its Component Measures To Identify Molecular Pathways To Prevent Myopia
Funder
National Health and Medical Research Council
Funding Amount
$495,364.00
Summary
We will examine 2,000 young adults from the Western Australian Raine Cohort at the Lions Eye Institute / University of Western Australia. Ocular data will be collected relating to myopia (short-sightedness) and will be combined with extensive previous childhood and genetic research data collected on the Cohort, to investigate the genetic and environmental factors predisposing to myopia. This will assist in understanding the factors leading to myopia.
Optimising Heart Disease Prevention And Management
Funder
National Health and Medical Research Council
Funding Amount
$4,647,175.00
Summary
As we become older and risk factors such as obesity become more common, our biggest contributor to death and disability, cardiovascular disease (including heart disease), will continue to exert an enormous burden on our health care system and society. We will extend our ground-breaking research on multidisciplinary teams to create new and innovative health care programs to optimise the prevention and management of new heart disease and chronic forms of heart disease.