Finding studies
Finding studies
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Lead
University of Michigan
With
Glaucoma is an important public health issue, and identifying new markers to improve treatment outcomes is a high priority. Progress in Mendelian genetic approaches has led to identifying 15 genes and 31 loci (http://www.ncbi.nlm.nih.gov/); however, since these monogenic forms of glaucoma are uncommon, other approaches are needed to identify genetic markers that contribute to common risk factors, such as elevated eye pressure, eye pressure fluctuation, and drug response variation. It is well known that eye pressure varies over a 24-hour period,1-6 but the mechanisms that regulate this eye pressure rhythm are not yet fully known. Drance reported that 84% of normal eyes (N=320 eyes) had eye pressure fluctuations of less than 5 mmHg in contrast to only 6% of untreated glaucomatous eyes (N=138).7 Drance clearly recognized that eye pressure factors were more variable in eyes with glaucoma. Attention to this eye pressure fluctuation during glaucoma treatment is important because fluctuation leads to progression. The variation in eye pressure drug response profiles measured at selected times over a 24-hour period is related to the mechanism of action of these drugs, endogenous circadian rhythms, and glaucoma. The molecular and genetic tools are now available to identify potential genetic markers for these variable traits. Advancing clinical research to the "translational" level is an important step to integrate our ever increasing knowledge base in genomics and proteinomics with clinical trials and clinical studies. Given the infrastructure at the University of Michigan with the strength in both glaucoma genetics and our resources in the clinic, it is possible to test for relationships between glaucoma genes and eye pressure. Although it is known that myocilin (MYOC) mutations cause the phenotype of high pressure open-angle glaucoma, the effect of these MYOC mutations in "pre-symptomatic" subjects and patients with early open-angle glaucoma on eye pressure variation is not known.
Age
18–99
Sex
ALL
Healthy volunteers
Not accepted
