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Ramachandran R, Lu MC, Niziol LM, Woodward MA, Elam AR, Johnson L, Kershaw M, Musch DC, Bicket A, John D, Wood SD, Zhang A, Zhang J, O’Brien J, Newman-Casey PA. Performance of Optic Disc Optical Coherence Tomography Normative Database in a Large, Diverse, Real-World Cohort. J Glaucoma 2025; 34:404-414. [PMID: 39878632 PMCID: PMC12021544 DOI: 10.1097/ijg.0000000000002545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 01/11/2025] [Indexed: 01/31/2025]
Abstract
PRCIS Current optical coherence tomography normative sample data may not represent the diversity of human optic nerve anatomy needed to accurately classify all individuals with true glaucomatous optic neuropathy. PURPOSE To compare optic nerve head (ONH) measurements between published values from an optical coherence tomography (OCT) normative database and a larger, more diverse cohort of healthy individuals. PATIENTS AND METHODS ONH parameters from healthy participants of the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine (MI-SIGHT) program and the Topcon Maestro-1 normative cohort were compared. χ 2 tests compared MI-SIGHT retinal nerve fiber layer (RNFL) quadrant color-code labels with the expected distribution and multinomial logistic regression identified factors associated with label classifications. RESULTS In all, 1084 MI-SIGHT and 399 Topcon eyes were evaluated. The MI-SIGHT cohort was older (54 vs. 46 y), with more individuals identifying as black (61% vs. 20%), fewer as Hispanic (4% vs. 18%), and spherical equivalents closer to plano (-0.6 vs. -1.2 diopters) compared to the Topcon cohort (all P <0.001). Black/African American MI-SIGHT participants had larger cup-to-disc ratios and cup volumes, while white MI-SIGHT participants had smaller ONH values, except for rim area and rim volume, compared to Topcon participants (all P <0.001). The MI-SIGHT cohort's RNFL color codes did not follow the expected distribution ( P <0.05); more MI-SIGHT RNFL quadrant measurements were assigned as white (10.6% and 6.3% MI-SIGHT vs. 5% Topcon) and red codes (2.2% and 1.8% MI-SIGHT vs. <1% Topcon) than expected in the superior and inferior quadrants, respectively. CONCLUSIONS OCT normative databases should accurately reflect diverse populations to avoid misclassification by RNFL thickness color codes. Larger data sets should be leveraged to encompass the full spectrum of healthy optic nerve anatomy.
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Affiliation(s)
| | - Ming-Chen Lu
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
| | - Leslie M. Niziol
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
| | - Maria A. Woodward
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
| | - Angela R. Elam
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
| | | | | | - David C. Musch
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
| | - Amanda Bicket
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
| | - Denise John
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
| | - Sarah Dougherty Wood
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
| | - Amy Zhang
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
| | - Jason Zhang
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
| | - Joan O’Brien
- Scheie Eye Institute, University of Pennsylvania, Philadelphia, PA
| | - Paula Anne Newman-Casey
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
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Sood S, Al-Aswad LA. The current landscape of social determinants of health in glaucoma (nature and nurture). Clin Exp Ophthalmol 2024; 52:253-255. [PMID: 38627883 DOI: 10.1111/ceo.14381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/19/2024]
Affiliation(s)
- Shefali Sood
- Department of Ophthalmology, Medstar Georgetown University Hospital/Washington Hospital Center, Philadelphia, Pennsylvania, USA
| | - Lama A Al-Aswad
- Department of Ophthalmology, University of Pennsylvania Scheie Eye Institute, Philadelphia, Pennsylvania, USA
- PRECISE Center: School of Engineering and Applied Science University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Barquet-Pizá V, Siegfried CJ. Understanding racial disparities of glaucoma. Curr Opin Ophthalmol 2024; 35:97-103. [PMID: 37922412 DOI: 10.1097/icu.0000000000001017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2023]
Abstract
PURPOSE OF REVIEW Increased prevalence, earlier onset, and more rapid progression to vision loss from glaucoma has demonstrated racial disparity in numerous studies over decades. Precise etiologies of these important differences among patients of African and Hispanic ancestral background have not been elucidated. This review focuses on currently available epidemiologic/population, genetic, socioeconomic and physiologic studies of racial disparities in this blinding disease. RECENT FINDINGS In depth reviews of several landmark studies of glaucoma prevalence in various racial groups have highlighted potential challenges of lack of recruitment of diverse populations in genetic studies and clinical trials, challenges of racial stratification of subjects, and the impact of socioeconomic variables. SUMMARY Through a more comprehensive analysis of racial disparities of glaucoma, both clinicians and researchers may provide more effective population screening and management with a holistic approach for individualized patient care to provide improved outcomes. Future studies of interventions in sociodemographic factors and genetic/physiologic variables that influence the prevalence, access, and consequential vision loss from glaucoma will be crucial to minimize/eliminate racial disparities and improve outcomes for all.
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Affiliation(s)
- Viviana Barquet-Pizá
- Department of Ophthalmology and Visual Sciences, Washington University School of Medicine, St. Louis, Missouri, USA
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Gunasegaran G, Moghimi S, Nishida T, Walker E, Kamalipour A, Wu JH, Mahmoudinezhad G, Zangwill LM, Weinreb RN. Racial Differences in the Diagnostic Accuracy of OCT Angiography Macular Vessel Density for Glaucoma. Ophthalmol Glaucoma 2024; 7:197-205. [PMID: 37783272 DOI: 10.1016/j.ogla.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/29/2023] [Accepted: 09/21/2023] [Indexed: 10/04/2023]
Abstract
PURPOSE To evaluate and compare the diagnostic accuracy of macular vessel density (VD) measured by OCT angiography (OCTA) in individuals of African descent (AD) and European descent (ED) with open-angle glaucoma. DESIGN Observational, cross sectional study. PARTICIPANTS A total of 176 eyes of 123 patients with glaucoma and 140 eyes of 88 healthy participants from the Diagnostic Innovations in Glaucoma Study. METHODS Whole-image ganglion cell complex (wiGCC) thickness and macular VD (parafoveal VD and perifoveal VD) were obtained from 6 × 6 macula scans. Area under the receiver operating characteristic (AUROC) curves were used to evaluate the diagnostic accuracy of macular VD and ganglion cell complex (GCC) thickness in AD and ED participants after adjusting for confounders such as age, visual field mean deviation (VF MD), signal strength index, axial length, self-reported hypertension and diabetes. MAIN OUTCOME MEASURES Macular VD and wiGCC measurements. RESULTS Parafoveal and perifoveal VD were significantly lower in ED than AD patients with glaucoma. Parafoveal and perifoveal VD performed significantly worse in AD participants compared with ED participants for detection of glaucoma (adjusted AUROC, 0.75 [95% confidence interval (CI), 0.62, 0.87], 0.85 [95% CI, 0.79, 0.90], P = 0.035; and 0.82 [95% CI, 0.70, 0.92], 0.91 [95% CI, 0.87, 0.94], respectively; P = 0.020). In contrast to VD, diagnostic accuracy of GCC thickness was similar in AD and ED individuals (adjusted AUROC, 0.89 [95% CI, 0.79, 0.96], 0.92 [95% CI, 0.86, 0.96], respectively; P = 0.313). The diagnostic accuracies of both macular VD and GCC thickness for differentiating between glaucoma and healthy eyes increased with increasing VF MD in both AD and ED participants. CONCLUSIONS Diagnostic performance of OCTA macular VD, but not GCC thickness, for glaucoma detection varies by race. Moreover, macular VD parameters had lower accuracy for detecting glaucoma in AD individuals than in ED individuals. The diagnostic performance of macular VD is race-dependent, and, therefore, race should be taken into consideration when interpreting macular OCTA results. FINANCIAL DISCLOSURE(S) Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Gopikasree Gunasegaran
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California
| | - Sasan Moghimi
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California
| | - Takashi Nishida
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California
| | - Evan Walker
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California
| | - Alireza Kamalipour
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California
| | - Jo-Hsuan Wu
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California
| | - Golnoush Mahmoudinezhad
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California
| | - Linda M Zangwill
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California
| | - Robert N Weinreb
- Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, University of California San Diego, La Jolla, California.
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Singh R, Rauscher FG, Li Y, Eslami M, Kazeminasab S, Zebardast N, Wang M, Elze T. Normative Percentiles of Retinal Nerve Fiber Layer Thickness and Glaucomatous Visual Field Loss. Transl Vis Sci Technol 2023; 12:13. [PMID: 37844261 PMCID: PMC10584025 DOI: 10.1167/tvst.12.10.13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 08/18/2023] [Indexed: 10/18/2023] Open
Abstract
Purpose Circumpapillary retinal nerve fiber layer thickness (RNFLT) measurement aids in the clinical diagnosis of glaucoma. Spectral domain optical coherence tomography (SD-OCT) machines measure RNFLT and provide normative color-coded plots. In this retrospective study, we investigate whether normative percentiles of RNFLT (pRNFLT) from Spectralis SD-OCT improve prediction of glaucomatous visual field loss over raw RNFLT. Methods A longitudinal database containing OCT scans and visual fields from Massachusetts Eye & Ear glaucoma clinic patients was generated. Reliable OCT-visual field pairs were selected. Spectralis OCT normative distributions were extracted from machine printouts. Supervised machine learning models compared predictive performance between pRNFLT and raw RNFLT inputs. Regional structure-function associations were assessed with univariate regression to predict mean deviation (MD). Multivariable classification predicted MD, pattern standard deviation, MD change per year, and glaucoma hemifield test. Results There were 3016 OCT-visual field pairs that met the reliability criteria. Spectralis norms were found to be independent of age, sex, and ocular magnification. Regional analysis showed significant decrease in R2 from pRNFLT models compared to raw RNFLT models in inferotemporal sectors, across multiple regressors. In multivariable classification, there were no significant improvements in area under the curve of receiver operating characteristic curve (ROC-AUC) score with pRNFLT models compared to raw RNFLT models. Conclusions Our results challenge the assumption that normative percentiles from OCT machines improve prediction of glaucomatous visual field loss. Raw RNFLT alone shows strong prediction, with no models presenting improvement by the manufacturer norms. This may result from insufficient patient stratification in tested norms. Translational Relevance Understanding correlation of normative databases to visual function may improve clinical interpretation of OCT data.
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Affiliation(s)
- Rishabh Singh
- Boston University School of Medicine, Boston, MA, USA
- Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA
| | - Franziska G. Rauscher
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
| | - Yangjiani Li
- Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA
| | - Mohammad Eslami
- Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA
| | - Saber Kazeminasab
- Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA
| | - Nazlee Zebardast
- Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA
| | - Mengyu Wang
- Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA
| | - Tobias Elze
- Schepens Eye Research Institute, Harvard Medical School, Boston, MA, USA
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El-Nimri NW, Moghimi S, Nishida T, Yarmohammadi A, Zangwill LM, Hou H, Proudfoot J, Walker E, Fazio MA, Girkin CA, Liebmann JM, Weinreb RN. Racial Differences in Detection of Glaucoma Using Retinal Nerve Fiber Layer Thickness and Bruch Membrane Opening Minimum Rim Width. Am J Ophthalmol 2023; 246:223-235. [PMID: 36662535 DOI: 10.1016/j.ajo.2022.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/13/2022] [Accepted: 10/15/2022] [Indexed: 02/01/2023]
Abstract
PURPOSE To compare the sensitivities and specificities of the retinal nerve fiber layer thickness (RNFLT) and Bruch membrane opening minimum rim width (BMO-MRW) reference database-based criteria for detection of glaucoma in individuals of European descent (ED) and individuals of African descent (AD). DESIGN Comparative diagnostic analysis by race METHODS: 382 eyes of 255 glaucoma patients (ED = 170, AD = 85) and 94 eyes of 50 healthy individuals (ED = 30, AD = 20) with global and sectoral RNFLT and BMO-MRW measured with Spectralis optical coherence tomography (OCT) were included. Six diagnostic criteria were evaluated: global measurement below the 5th or 1st percentile, ≥1 of the 6 sector measurements below the 5th or 1st percentile, and superotemporal (ST) and/or inferotemporal (IT) measurement below the 5th or 1st percentile. The sensitivities and specificities of these measurements for detection of glaucoma were compared using bootstrapping methods. RESULTS ST and/or IT RNFLT below the 5th percentile has the best performance for detection of glaucoma among RNFLT classifications with a sensitivity (95% CI) of 89.5% (86.1, 92.5) and specificity of 87.2% (77.8, 95.1). In AD individuals, sensitivities of ST and IT RNFLT and BMO-MRW measurements below the 5th percentile criteria were lower than in ED individuals (RNFLT: 83.7% vs 92.5%, and BMO-MRW: 72.1% vs 88.5%, respectively), as well as specificities (AD RNFLT: 73.7% and BMO-MRW: 89.5% vs ED RNFLT: 96.4% and BMO-MRW: 98.2%, respectively). CONCLUSIONS RNFLT and BMO-MRW had consistently lower diagnostic performance in AD individuals compared with ED individuals. BMO-MRW criteria might fail to detect as many as one-third of eyes with glaucoma, specifically in AD individuals. With the current reference database, RNFLT, and especially BMO-MRW, criteria are not adequate for diagnosing glaucoma in AD individuals.
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Affiliation(s)
- Nevin W El-Nimri
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.)
| | - Sasan Moghimi
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.).
| | - Takashi Nishida
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.)
| | - Adeleh Yarmohammadi
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.)
| | - Linda M Zangwill
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.)
| | - Huiyuan Hou
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.)
| | - James Proudfoot
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.)
| | - Evan Walker
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.)
| | - Massimo A Fazio
- Department of Ophthalmology and Visual Sciences, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama (M.A.F., C.A.G.) and
| | - Christopher A Girkin
- Department of Ophthalmology and Visual Sciences, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama (M.A.F., C.A.G.) and
| | - Jeffrey M Liebmann
- Bernard and Shirlee Brown Glaucoma Research Laboratory, Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University Irving Medical Center, New York, New York (J.M.L.), USA
| | - Robert N Weinreb
- From the Hamilton Glaucoma Center, Shiley Eye Institute, and the Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California (N.W.E.-N., S.M., T.N., A.Y., L.M.Z., H.H., J.P., E.W., R.N.W.)
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Cooke Bailey JN, Funk KL, Cruz LA, Waksmunski AR, Kinzy TG, Wiggs JL, Hauser MA. Diversity in Polygenic Risk of Primary Open-Angle Glaucoma. Genes (Basel) 2022; 14:111. [PMID: 36672852 PMCID: PMC9859496 DOI: 10.3390/genes14010111] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/22/2022] [Accepted: 12/29/2022] [Indexed: 12/31/2022] Open
Abstract
Glaucoma is the leading cause of irreversible blindness worldwide. Primary open-angle glaucoma (POAG), the most common glaucoma subtype, is more prevalent and severe in individuals of African ancestry. Unfortunately, this ancestral group has been historically under-represented among genetic studies of POAG. Moreover, both genetic and polygenic risk scores (GRS, PRS) that are typically based on genetic data from European-descent populations are not transferable to individuals without a majority of European ancestry. Given the aspirations of leveraging genetic information for precision medicine, GRS and PRS demonstrate clinical potential but fall short, in part due to the lack of diversity in these studies. Prioritizing diversity in the discovery of risk variants will improve the performance and utility of GRS and PRS-derived risk estimation for disease stratification, which could bring about earlier POAG intervention and treatment for a disease that often goes undetected until significant damage has occurred.
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Affiliation(s)
- Jessica N. Cooke Bailey
- Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Kaitlyn L. Funk
- Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Lauren A. Cruz
- Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Andrea R. Waksmunski
- Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Tyler G. Kinzy
- Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Janey L. Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02115, USA
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