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405


Genome-wide association analyses identify multiple loci associated with central corneal thickness and keratoconus

Lu, Yi; Vitart, Veronique; Burdon, Kathryn P; Khor, Chiea Chuen; Bykhovskaya, Yelena; Mirshahi, Alireza; Hewitt, Alex W; Koehn, Demelza; Hysi, Pirro G; Ramdas, Wishal D; Zeller, Tanja; Vithana, Eranga N; Cornes, Belinda K; Tay, Wan-Ting; Tai, E Shyong; Cheng, Ching-Yu; Liu, Jianjun; Foo, Jia-Nee; Saw, Seang Mei; Thorleifsson, Gudmar; Stefansson, Kari; Dimasi, David P; Mills, Richard A; Mountain, Jenny; Ang, Wei; Hoehn, Rene; Verhoeven, Virginie J M; Grus, Franz; Wolfs, Roger; Castagne, Raphaele; Lackner, Karl J; Springelkamp, Henriet; Yang, Jian; Jonasson, Fridbert; Leung, Dexter Y L; Chen, Li J; Tham, Clement C Y; Rudan, Igor; Vatavuk, Zoran; Hayward, Caroline; Gibson, Jane; Cree, Angela J; MacLeod, Alex; Ennis, Sarah; Polasek, Ozren; Campbell, Harry; Wilson, James F; Viswanathan, Ananth C; Fleck, Brian; Li, Xiaohui; Siscovick, David; Taylor, Kent D; Rotter, Jerome I; Yazar, Seyhan; Ulmer, Megan; Li, Jun; Yaspan, Brian L; Ozel, Ayse B; Richards, Julia E; Moroi, Sayoko E; Haines, Jonathan L; Kang, Jae H; Pasquale, Louis R; Allingham, R Rand; Ashley-Koch, Allison; Mitchell, Paul; Wang, Jie Jin; Wright, Alan F; Pennell, Craig; Spector, Timothy D; Young, Terri L; Klaver, Caroline C W; Martin, Nicholas G; Montgomery, Grant W; Anderson, Michael G; Aung, Tin; Willoughby, Colin E; Wiggs, Janey L; Pang, Chi P; Thorsteinsdottir, Unnur; Lotery, Andrew J; Hammond, Christopher J; van Duijn, Cornelia M; Hauser, Michael A; Rabinowitz, Yaron S; Pfeiffer, Norbert; Mackey, David A; Craig, Jamie E; Macgregor, Stuart; Wong, Tien Y; [Wollstein, Gadi]
Central corneal thickness (CCT) is associated with eye conditions including keratoconus and glaucoma. We performed a meta-analysis on >20,000 individuals in European and Asian populations that identified 16 new loci associated with CCT at genome-wide significance (P < 5 x 10(-8)). We further showed that 2 CCT-associated loci, FOXO1 and FNDC3B, conferred relatively large risks for keratoconus in 2 cohorts with 874 cases and 6,085 controls (rs2721051 near FOXO1 had odds ratio (OR) = 1.62, 95% confidence interval (CI) = 1.4-1.88, P = 2.7 x 10(-10), and rs4894535 in FNDC3B had OR = 1.47, 95% CI = 1.29-1.68, P = 4.9 x 10(-9)). FNDC3B was also associated with primary open-angle glaucoma (P = 5.6 x 10(-4); tested in 3 cohorts with 2,979 cases and 7,399 controls). Further analyses implicate the collagen and extracellular matrix pathways in the regulation of CCT.
PMCID:3720123
PMID: 23291589
ISSN: 1546-1718
CID: 2298212

High dynamic range imaging concept-based signal enhancement method reduced the optical coherence tomography measurement variability

Ishikawa, Hiroshi; Chen, Chieh-Li; Wollstein, Gadi; Grimm, Jonathan L; Ling, Yun; Bilonick, Richard A; Sigal, Ian A; Kagemann, Larry; Schuman, Joel S
PURPOSE: To develop and test a novel signal enhancement method for optical coherence tomography (OCT) images based on the high dynamic range (HDR) imaging concept. METHODS: Three virtual channels, which represent low, medium, and high signal components, were produced for each OCT signal dataset. The dynamic range of each signal component was normalized to the full gray scale range. Finally, the three components were recombined into one image using various weights. Fourteen eyes of 14 healthy volunteers were scanned multiple times using time-domain (TD)-OCT before and while preventing blinking in order to produce a wide variety of signal strength (SS) images on the same eye scanned on the same day. For each eye, a pair of scans with the highest and lowest SS with successful retinal nerve fiber layer (RNFL) segmentation was selected to test the signal enhancement effect. In addition, spectral-domain (SD)-OCT images with poor signal qualities were also processed. RESULTS: Mean SS of good and poor quality scans were 9.0 +/- 1.1 and 4.4 +/- 0.9, respectively. TD-OCT RNFL thickness showed significant differences between good and poor quality scans on the same eye (mean difference 11.9 +/- 6.0 mum, P < 0.0001, paired t-test), while there was no significant difference after signal enhancement (1.7 +/- 6.2 mum, P = 0.33). However, HDR had weaker RNFL compensation effect on images with SS less than or equal to 4, while it maintained good compensation effect on images with SS greater than 4. Successful signal enhancement was also confirmed subjectively on SD-OCT images. CONCLUSION: The HDR imaging successfully restored OCT signal and image quality and reduced RNFL thickness differences due to variable signal level to the level within the expected measurement variability. This technique can be applied to both TD- and SD-OCT images.
PMCID:3562131
PMID: 23299477
ISSN: 0146-0404
CID: 1885212

Retinal nerve fiber layer atrophy is associated with visual field loss over time in glaucoma suspect and glaucomatous eyes

Sehi, Mitra; Zhang, Xinbo; Greenfield, David S; Chung, Yunsuk; Wollstein, Gadi; Francis, Brian A; Schuman, Joel S; Varma, Rohit; Huang, David
PURPOSE: To compare prospectively detection of progressive retinal nerve fiber layer thickness (RNFL) atrophy identified using time-domain optical coherence tomography with visual field progression using standard automated perimetry in glaucoma suspect and preperimetric glaucoma patients or perimetric glaucoma patients. DESIGN: Prospective, longitudinal clinical trial. METHODS: Eligible eyes with 2 years or more of follow-up underwent time-domain optical coherence tomography and standard automated perimetry every 6 months. The occurrence of visual field progression was defined as the first follow-up visit reaching a significant (P < .05) negative visual field index slope over time. RNFL progression or improvement was defined as a significant negative or positive slope over time, respectively. Specificity was defined as the number of eyes with neither progression nor improvement, divided by the number of eyes without progression. Cox proportional hazard ratios were calculated using univariate and multivariate models with RNFL loss as a time-dependent covariate. RESULTS: Three hundred ten glaucoma suspect and preperimetric glaucoma eyes and 177 perimetric glaucoma eyes were included. Eighty-nine eyes showed visual field progression and 101 eyes showed RNFL progression. The average time to detect visual field progression in those 89 eyes was 35 +/- 13 months, and the average time to detect RNFL progression in those 101 eyes was 36 +/- 13 months. In multivariate Cox models, average and superior RNFL losses were associated with subsequent visual field index loss in the entire cohort (every 10-mum loss; hazard ratio, 1.38; P = .03; hazard ratio, 1.20; P = .01; respectively). Among the entire cohort of 487 eyes, 42 had significant visual field index improvement and 55 had significant RNFL improvement (specificity, 91.4% and 88.7%, respectively). CONCLUSIONS: Structural progression is associated with functional progression in glaucoma suspect and glaucomatous eyes. Average and superior RNFL thickness may predict subsequent standard automated perimetry loss.
PMCID:3525739
PMID: 23036570
ISSN: 1879-1891
CID: 1885222

Longitudinal modeling of glaucoma progression using 2-dimensional continuous-time hidden Markov model

Liu, Yu-Ying; Ishikawa, Hiroshi; Chen, Mei; Wollstein, Gadi; Schumnan, Joel S; Rehg, James M
We propose a 2D continuous-time Hidden Markov Model (2D CT-HMM) for glaucoma progression modeling given longitudinal structural and functional measurements. CT-HMM is suitable for modeling longitudinal medical data consisting of visits at arbitrary times, and 2D state structure is more appropriate for glaucoma since the time courses of functional and structural degeneration are usually different. The learned model not only corroborates the clinical findings that structural degeneration is more evident than functional degeneration in early glaucoma and the opposite is observed in more advanced stages, but also reveals the exact stages where the trend reverses. A method to detect time segments of fast progression is also proposed. Our results show that this detector can effectively identify patients with rapid degeneration. The model and the derived detector can be of clinical value for glaucoma monitoring.
PMCID:5988357
PMID: 24579171
ISSN: 0302-9743
CID: 2297762

Estrogen pathway polymorphisms in relation to primary open angle glaucoma: an analysis accounting for gender from the United States

Pasquale, Louis R; Loomis, Stephanie J; Weinreb, Robert N; Kang, Jae H; Yaspan, Brian L; Bailey, Jessica Cooke; Gaasterland, Douglas; Gaasterland, Terry; Lee, Richard K; Scott, William K; Lichter, Paul R; Budenz, Donald L; Liu, Yutao; Realini, Tony; Friedman, David S; McCarty, Catherine A; Moroi, Sayoko E; Olson, Lana; Schuman, Joel S; Singh, Kuldev; Vollrath, Douglas; Wollstein, Gadi; Zack, Donald J; Brilliant, Murray; Sit, Arthur J; Christen, William G; Fingert, John; Kraft, Peter; Zhang, Kang; Allingham, R Rand; Pericak-Vance, Margaret A; Richards, Julia E; Hauser, Michael A; Haines, Jonathan L; Wiggs, Janey L
PURPOSE: Circulating estrogen levels are relevant in glaucoma phenotypic traits. We assessed the association between an estrogen metabolism single nucleotide polymorphism (SNP) panel in relation to primary open angle glaucoma (POAG), accounting for gender. METHODS: We included 3,108 POAG cases and 3,430 controls of both genders from the Glaucoma Genes and Environment (GLAUGEN) study and the National Eye Institute Glaucoma Human Genetics Collaboration (NEIGHBOR) consortium genotyped on the Illumina 660W-Quad platform. We assessed the relation between the SNP panels representative of estrogen metabolism and POAG using pathway- and gene-based approaches with the Pathway Analysis by Randomization Incorporating Structure (PARIS) software. PARIS executes a permutation algorithm to assess statistical significance relative to the pathways and genes of comparable genetic architecture. These analyses were performed using the meta-analyzed results from the GLAUGEN and NEIGHBOR data sets. We evaluated POAG overall as well as two subtypes of POAG defined as intraocular pressure (IOP) >/=22 mmHg (high-pressure glaucoma [HPG]) or IOP <22 mmHg (normal pressure glaucoma [NPG]) at diagnosis. We conducted these analyses for each gender separately and then jointly in men and women. RESULTS: Among women, the estrogen SNP pathway was associated with POAG overall (permuted p=0.006) and HPG (permuted p<0.001) but not NPG (permuted p=0.09). Interestingly, there was no relation between the estrogen SNP pathway and POAG when men were considered alone (permuted p>0.99). Among women, gene-based analyses revealed that the catechol-O-methyltransferase gene showed strong associations with HTG (permuted gene p
PMCID:3712669
PMID: 23869166
ISSN: 1090-0535
CID: 1885142

Automated lamina cribrosa microstructural segmentation in optical coherence tomography scans of healthy and glaucomatous eyes

Nadler, Zach; Wang, Bo; Wollstein, Gadi; Nevins, Jessica E; Ishikawa, Hiroshi; Kagemann, Larry; Sigal, Ian A; Ferguson, R Daniel; Hammer, Daniel X; Grulkowski, Ireneusz; Liu, Jonathan J; Kraus, Martin F; Lu, Chen D; Hornegger, Joachim; Fujimoto, James G; Schuman, Joel S
We demonstrate an automated segmentation method for in-vivo 3D optical coherence tomography (OCT) imaging of the lamina cribrosa (LC). Manual segmentations of coronal slices of the LC were used as a gold standard in parameter selection and evaluation of the automated technique. The method was validated using two prototype OCT devices; each had a subject cohort including both healthy and glaucomatous eyes. Automated segmentation of in-vivo 3D LC OCT microstructure performed comparably to manual segmentation and is useful for investigative research and in clinical quantification of the LC.
PMCID:3829553
PMID: 24298418
ISSN: 2156-7085
CID: 1885232

Three-dimensional spectral-domain optical coherence tomography data analysis for glaucoma detection

Xu, Juan; Ishikawa, Hiroshi; Wollstein, Gadi; Bilonick, Richard A; Folio, Lindsey S; Nadler, Zach; Kagemann, Larry; Schuman, Joel S
PURPOSE: To develop a new three-dimensional (3D) spectral-domain optical coherence tomography (SD-OCT) data analysis method using a machine learning technique based on variable-size super pixel segmentation that efficiently utilizes full 3D dataset to improve the discrimination between early glaucomatous and healthy eyes. METHODS: 192 eyes of 96 subjects (44 healthy, 59 glaucoma suspect and 89 glaucomatous eyes) were scanned with SD-OCT. Each SD-OCT cube dataset was first converted into 2D feature map based on retinal nerve fiber layer (RNFL) segmentation and then divided into various number of super pixels. Unlike the conventional super pixel having a fixed number of points, this newly developed variable-size super pixel is defined as a cluster of homogeneous adjacent pixels with variable size, shape and number. Features of super pixel map were extracted and used as inputs to machine classifier (LogitBoost adaptive boosting) to automatically identify diseased eyes. For discriminating performance assessment, area under the curve (AUC) of the receiver operating characteristics of the machine classifier outputs were compared with the conventional circumpapillary RNFL (cpRNFL) thickness measurements. RESULTS: The super pixel analysis showed statistically significantly higher AUC than the cpRNFL (0.855 vs. 0.707, respectively, p = 0.031, Jackknife test) when glaucoma suspects were discriminated from healthy, while no significant difference was found when confirmed glaucoma eyes were discriminated from healthy eyes. CONCLUSIONS: A novel 3D OCT analysis technique performed at least as well as the cpRNFL in glaucoma discrimination and even better at glaucoma suspect discrimination. This new method has the potential to improve early detection of glaucomatous damage.
PMCID:3569462
PMID: 23408988
ISSN: 1932-6203
CID: 1885242

Imaging of the Optic Nerve Head and Nerve Fiber Layer

Chapter by: Folio, Lindsey S; Wollstein, Gadi; Schuman, Joel S
in: CHANDLER AND GRANT'S GLAUCOMA by Kahook, MY; Schuman, JS; Epstein, DL [Eds]
THOROFARE : SLACK INC, 2013
pp. 95-109
ISBN:
CID: 1887212

Focal Points 2013 : Glaucoma progression: Structure and function

[Kotowski, J; Wollstein, G; Ungar, AK; Schuman, Joel S]
[S.l.] : Academy Store, 2013
Extent: 1 v.
ISBN: n/a
CID: 1900742

Inflammatory response to intravitreal injection of gold nanorods

Gabriele Sandrian, Michelle; Wollstein, Gadi; Schuman, Joel S; Bilonick, Richard A; Ling, Yun; Ishikawa, Hiroshi; Kagemann, Larry; McKenna, Kyle C
AIM: To evaluate the utility of gold nanorods (AuNRs) as a contrast agent for ocular optical coherence tomography (OCT). METHODS: Mice were intravitreally injected with sterile AuNRs coated with either poly(strenesulfate) (PSS-AuNRs) or anti-CD90.2 antibodies (Ab-AuNRs), and imaged using OCT. After 24 h, eyes were processed for transmission electron microscopy or rendered into single cell suspensions for flow cytometric analysis to determine absolute numbers of CD45(+) leukocytes and subsets (T cells, myeloid cells, macrophages, neutrophils). Generalised estimation equations were used to compare cell counts between groups. RESULTS: PSS-AuNRs and Ab-AuNRs were visualised in the vitreous 30 min and 24 h post-injection with OCT. At 24 h, a statistically significant increase in leukocytes, comprised primarily of neutrophils, was observed in eyes that received either AuNR in comparison to eyes that received saline. The accumulation of leukocytes was equal in eyes given PSS-AuNR or Ab-AuNR. Endotoxin-resistant C3H/HeJ mice also showed ocular inflammation after injection with AuNRs, indicating that the inflammatory response was not due to lipopolysaccharide contamination of AuNRs. CONCLUSIONS: Although AuNRs can be visualised in the eye using OCT, they can induce ocular inflammation, which limits their use as a contrast agent.
PMCID:3718482
PMID: 23087415
ISSN: 1468-2079
CID: 1885252