This application describes a five-year prospective longitudinal study of visual function in glaucoma, which builds upon prior work in this area during two previous grant periods. This study will use a variety of psychophysical tests of visual function to determine the nature and extent of glaucomatous vision loss, and will address the relationship of vision loss to progression of disease, genetic markers, and clinical management.
Specific Aims. A. To continue this multivariate approach for analysis of the functional changes in vision associated with glaucoma and to delineate further the relationship of these changes to underlying physiological mechanisms. B. To improve diagnostic and analysis techniques encompassing several measures of visual function. C. To improve techniques for evaluating progression in order to better monitor effectiveness of current and new therapies. D. To delineate the relationship between visual function loss associated with glaucoma and the presence or absence of certain molecular genetic markers. Subjects. The study includes ongoing enrollment. We will have 450 patient eyes tested on standard, SWAP, FDP and MAP fields, who agree to complete the five year study. In addition, we have an extensive database for all subjects with total n of 1295, over 569 of these with SWAP. We have also developed a collaboration with Dr. Jeffrey Liebmann to provide 500 African-American eyes for analysis over the 5 years of this proposal. These patients are clinically well-characterized and our database includes information such as risk factors, medical history, other influencing disease, subtypes of glaucoma, stereophoto grades, all vision testing, measures of optic nerve structure, intraocular pressure history, medications, surgeries, and more. To our knowledge, this extensive database is unique, encompassing more measures of visual function and optic nerve structure over a considerably longer time frame than any other laboratory. Methods. The psychophysical tests are designed to isolate various visual functions. We will use a variety of statistical methods (signal detection theory, Cox proportional hazard modeling, survival analysis, progression algorithms) to determine best parameters for sensitivity and specificity of each, rate and pattern of defect, reproducibility of results and clinical utility. In addition, the relationship to genetics and ethnic group will be determined. Conclusion. The results from the proposed experiments should provide a greater understanding of the underlying damage to vision associated with glaucoma, the comparative progression of loss over time, and the likelihood of predicting which patients are most at risk due to genetic, ethnic or other factors.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY008208-14
Application #
6604320
Study Section
Special Emphasis Panel (ZRG1-VISB (02))
Program Officer
Liberman, Ellen S
Project Start
1990-04-01
Project End
2005-06-30
Budget Start
2003-07-01
Budget End
2004-06-30
Support Year
14
Fiscal Year
2003
Total Cost
$493,472
Indirect Cost
Name
University of California San Diego
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Khawaja, Anthony P; Cooke Bailey, Jessica N; Wareham, Nicholas J et al. (2018) Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma. Nat Genet 50:778-782
Bailey, Jessica N Cooke; Gharahkhani, Puya; Kang, Jae H et al. (2018) Testosterone Pathway Genetic Polymorphisms in Relation to Primary Open-Angle Glaucoma: An Analysis in Two Large Datasets. Invest Ophthalmol Vis Sci 59:629-636
Garg, Aakriti; De Moraes, C Gustavo; Cioffi, George A et al. (2018) Baseline 24-2 Central Visual Field Damage Is Predictive of Global Progressive Field Loss. Am J Ophthalmol 187:92-98
Bowd, Christopher; Zangwill, Linda M; Weinreb, Robert N et al. (2017) Estimating Optical Coherence Tomography Structural Measurement Floors to Improve Detection of Progression in Advanced Glaucoma. Am J Ophthalmol 175:37-44
Wu, Zhichao; Saunders, Luke J; Daga, Fábio B et al. (2017) Frequency of Testing to Detect Visual Field Progression Derived Using a Longitudinal Cohort of Glaucoma Patients. Ophthalmology 124:786-792
De Moraes, C Gustavo; Hood, Donald C; Thenappan, Abinaya et al. (2017) 24-2 Visual Fields Miss Central Defects Shown on 10-2 Tests in Glaucoma Suspects, Ocular Hypertensives, and Early Glaucoma. Ophthalmology 124:1449-1456
Yousefi, Siamak; Balasubramanian, Madhusudhanan; Goldbaum, Michael H et al. (2016) Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual Fields. Transl Vis Sci Technol 5:2
Skaat, Alon; De Moraes, Carlos Gustavo; Bowd, Christopher et al. (2016) African Descent and Glaucoma Evaluation Study (ADAGES): Racial Differences in Optic Disc Hemorrhage and Beta-Zone Parapapillary Atrophy. Ophthalmology 123:1476-83
Pasquale, Louis R (2016) Vascular and autonomic dysregulation in primary open-angle glaucoma. Curr Opin Ophthalmol 27:94-101
Silverman, Anna L; Hammel, Naama; Khachatryan, Naira et al. (2016) Diagnostic Accuracy of the Spectralis and Cirrus Reference Databases in Differentiating between Healthy and Early Glaucoma Eyes. Ophthalmology 123:408-14

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