The long-term goal of this project is to identify clinical and genetic features of retinopathy of prematurity (ROP) development, and to analyze their relationships. Although biomedical research data are being generated at an enormous pace, much less work has been done to integrate disparate scientific findings across the spectrum from genomics to imaging to clinical medicine. Our overall hypotheses are that genetic factors are involved in the initiation and modulation of ROP pathogenesis, and that there are etiological relationships among clinical, imaging, and genetic findings in ROP. These hypotheses will be tested using two sequential Specific Aims: (1) Recruit, phenotype, and collect genetic material from a cohort of over 1460 premature infants at- risk for ROP from 7 study centers. Data will be stored in a web-based data management system that will be developed for this project. Demographic and clinical features from three serial ophthalmoscopic examinations will be ascertained fully, and serial wide- angle images will be captured. DNA will be isolated and prepared for genotyping. (2) Quantify retinal vascular features using computer-based image analysis, and analyze relationships between clinical and image findings in ROP. Models for integrating the effects of quantitative image traits, clinical features, and environmental risk factors on ROP susceptibility will be estimated. Genotyping, genetic analysis, recruitment of additional subjects as needed, and modeling of clinical and genetic traits will be pursued during competitive renewal of this project. Ultimately, these studies should improve understanding of neovascularization in ROP and related ocular diseases, and of normal vascular development in infants. In addition, this work should demonstrate a prototype for health information management which combines genotypic and phenotypic data. This project will be performed by a multi-disciplinary team of collaborative investigators with expertise in clinical ophthalmology, biomedical informatics, genetic analysis, and statistical genetics.

Public Health Relevance

ROP is a leading cause of childhood blindness in the United States and throughout the world, and the number of infants at risk for disease is increasing as the rate of premature birth rises. Rapidly-progressive changes associated with retinal vascular development and angiogenesis may be visualized by clinical examination, captured by wide-angle imaging, and analyzed genetically. Findings from this project should improve our understanding of the pathogenesis of ROP and other neovascular diseases, and provide better methods for identifying infants who are at highest risk of developing disease.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY019474-03
Application #
8144767
Study Section
Special Emphasis Panel (ZEY1-VSN (04))
Program Officer
Shen, Grace L
Project Start
2010-09-30
Project End
2014-08-31
Budget Start
2012-09-01
Budget End
2014-08-31
Support Year
3
Fiscal Year
2012
Total Cost
$688,604
Indirect Cost
$85,968
Name
Oregon Health and Science University
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Redd, Travis K; Campbell, J Peter; Chiang, Michael F (2018) Is This the Right Reference Standard Diagnosis for Retinopathy of Prematurity?-Reply. JAMA Ophthalmol 136:1429-1430
Swan, Ryan; Kim, Sang Jin; Campbell, J Peter et al. (2018) The genetics of retinopathy of prematurity: a model for neovascular retinal disease. Ophthalmol Retina 2:949-962
Chee, Ru-Ik; Darwish, Dana; Fernandez-Vega, Alvaro et al. (2018) Retinal Telemedicine. Curr Ophthalmol Rep 6:36-45
Biten, Hilal; Redd, Travis K; Moleta, Chace et al. (2018) Diagnostic Accuracy of Ophthalmoscopy vs Telemedicine in Examinations for Retinopathy of Prematurity. JAMA Ophthalmol 136:498-504
Redd, Travis K; Campbell, John Peter; Brown, James M et al. (2018) Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity. Br J Ophthalmol :
Kim, Sang Jin; Port, Alexander D; Swan, Ryan et al. (2018) Retinopathy of prematurity: a review of risk factors and their clinical significance. Surv Ophthalmol 63:618-637
Gupta, Mrinali P; Dow, Eliot; Jeng-Miller, Karen W et al. (2018) SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY FINDINGS IN COATS DISEASE. Retina :
Kim, Sang Jin; Campbell, J Peter; Ostmo, Susan et al. (2017) Changes in Relative Position of Choroidal Versus Retinal Vessels in Preterm Infants. Invest Ophthalmol Vis Sci 58:6334-6341
Moleta, Chace; Campbell, J Peter; Kalpathy-Cramer, Jayashree et al. (2017) Plus Disease in Retinopathy of Prematurity: Diagnostic Trends in 2016 Versus 2007. Am J Ophthalmol 176:70-76
Campbell, J Peter; Ataer-Cansizoglu, Esra; Bolon-Canedo, Veronica et al. (2016) Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis. JAMA Ophthalmol 134:651-7

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