Epidemiological And Molecular Risk Factors For Diabetic Retinopathy Blindness.
Funder
National Health and Medical Research Council
Funding Amount
$61,988.00
Summary
Diabetic retinopathy (DR) is the leading cause of blindness in working age adults, affecting 30% of Australians with diabetes. Patients at most risk of blindness are the focus of this project. We aim to (1) investigate why some people are more likely to develop blinding DR by looking at genetic difference between diabetic patients with and without DR; and, (2) help to understand why Indigenous Australians are so over represented in this subset of diabetic patients going blind from DR.
Molecular Genetic Risk Factors And Mechanisms In Blinding Eye Disease
Funder
National Health and Medical Research Council
Funding Amount
$631,010.00
Summary
This project aims to understand the genetic causes of blinding eye diseases. We have recently identified genetic variation that contributes to the risk of glaucoma and diabetic eye disease. We are exploring the mechanisms through which this leads to disease by looking at differences in the genes in patients with disease compared to unaffected individuals. We hope to be able to identify genes that could be the target of new therapies to prevent blindness and visual impairment in the community.
Using New Retinal Imaging Technologies To Improve Treatment And Classification Of Diabetic Retinopathy
Funder
National Health and Medical Research Council
Funding Amount
$227,644.00
Summary
Diabetic retinopathy is the leading cause of blindness in Australia. This project aims to use new ways of imaging changes in the back of the eye to try to improve the treatment and diagnosis of diabetic retinopathy.
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.