Genetic Associations Of Early Retinal Pathologic Phenotypes: Data Pooling And Meta-analyses Of Multiple Populations
Funder
National Health and Medical Research Council
Funding Amount
$736,481.00
Summary
We aim to use data already collected from multiple population-based studies to investigate the likely pathogeneses of early retinal phenotypes that are either markers for cardiovascular risk or precursors of a blinding condition. Understanding if there are genetic susceptibilities for these phenotypes, and if so, how they together with environmental exposures jointly influence the occurrence of the diseases may be key to reduce the burden from cardiovascular disease and blindness.
I am an epidemiologist investigating: 1) the frequency, pathogenesis, risk factors and impacts of common age-related eye disease, particularly focused on the four leading causes of blindness: age-related macular degeneration, cataract, glaucoma and diabetic retinopathy; 2) the potential for screening and clinical diagnostic value of retinal imaging and retinal vascular signs as predictors of major systemic conditions such as hypertension, diabetes and cardiovascular disease.
Sun Exposure, Vitamin D And Photohealth Over The Lifetime
Funder
National Health and Medical Research Council
Funding Amount
$622,655.00
Summary
Australia is a sunny country with a diverse population. Inappropriate sun exposure for skin type leads to skin cancer (mainly in the fair-skinned) and vitamin D deficiency (particularly in the darker-skinned). Potential benefits of sun exposure are broader than vitamin D production, but remain ill-defined. There are few data on appropriate sun exposure for children. This research fellowship builds the evidence to guide sun exposure messages.
Novel Retinal Architectural Vascular Signs And Risk Of Cardiovascular Disease: The AusDiab Study
Funder
National Health and Medical Research Council
Funding Amount
$754,254.00
Summary
Cardiovascular disease (CVD) and diabetes are major health problems. Identifying 'people at risk' is critical to design preventative strategies. We have developed new computer software to measure detailed characteristics of retinal vessels. By appling this system to predict CVD or diabetes in the AusDiab Study we aim to find 'the best combination of risk factors' to predict CVD and diabetes. This will open up the possibility of new risk assessment using a simple 'eye scan.'