A Genome-wide Association Scan To Identify Genetic Risk Factors For Sight Threatening Diabetic Retinopathy
Funder
National Health and Medical Research Council
Funding Amount
$982,203.00
Summary
Diabetic eye disease is an important complication of diabetes that can lead to blindness. Very little is known about how diabetes causes eye disease, but genetics is known to play a role. We aim to identify genes that contribute to eye disease in diabetes patients. We will compare genes between patients with diabetes with and without severe diabetic eye disease using cutting edge genomic technology. We hope to be able to better predict risk of blindness and to move towards novel treatments.
Identification Of Genes For X-linked Mental Retardation.
Funder
National Health and Medical Research Council
Funding Amount
$675,228.00
Summary
We propose to identify novel heritable causes of intellectual disability using 22 large and well-characterised families from Australia. In these families we have refined the location of the genetic defect to the chromosome X and excluded the contribution of all so far known genes. We will achieve this using the technology of massive parallel sequencing. At the completion of the project we will have identified novel causes of intellectual disability and devised tests to identify them.
Dissecting The Pseudoexfoliation Syndrome With Complementary Genetic, Proteomic And Biophysical Strategies
Funder
National Health and Medical Research Council
Funding Amount
$490,352.00
Summary
Pseudoexfoliation syndrome (PEX) is an eye condition in which flaky material deposits in the eye, greatly increasing the risk of cataract and glaucoma which can lead to blindness. PEX is also associated with heart disease, strokes and aneurysms. Cataract surgery in PEX patients has a higher rate of complications. In this project we will determine the nature of PEX material and why it forms. This knowlege will facilitate better diagnosis and treatment of PEX preventing associated blindness.
Development Of Diagnostic Tools To Characterise Predictors Of Therapeutic Outcome In Severe Constipation
Funder
National Health and Medical Research Council
Funding Amount
$433,999.00
Summary
This project will use fibre-optic technology to create detailed high resolution maps of colonic motor patterns in both health and in patients with severe constipation. The data will be used in combination with actual patient symptoms to help identify specific markers of disease that can differentiate sub-types of constipation and ultimately guide and improve treatment in constipated patients