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Rzhanova LA, Markitantova YV, Aleksandrova MA. Recent Achievements in the Heterogeneity of Mammalian and Human Retinal Pigment Epithelium: In Search of a Stem Cell. Cells 2024; 13:281. [PMID: 38334673 PMCID: PMC10854871 DOI: 10.3390/cells13030281] [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: 11/30/2023] [Revised: 01/23/2024] [Accepted: 02/01/2024] [Indexed: 02/10/2024] Open
Abstract
Retinal pigment epithelium (RPE) cells are important fundamentally for the development and function of the retina. In this regard, the study of the morphological and molecular properties of RPE cells, as well as their regenerative capabilities, is of particular importance for biomedicine. However, these studies are complicated by the fact that, despite the external morphological similarity of RPE cells, the RPE is a population of heterogeneous cells, the molecular genetic properties of which have begun to be revealed by sequencing methods only in recent years. This review carries out an analysis of the data from morphological and molecular genetic studies of the heterogeneity of RPE cells in mammals and humans, which reveals the individual differences in the subpopulations of RPE cells and the possible specificity of their functions. Particular attention is paid to discussing the properties of "stemness," proliferation, and plasticity in the RPE, which may be useful for uncovering the mechanisms of retinal diseases associated with pathologies of the RPE and finding new ways of treating them.
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Affiliation(s)
| | - Yuliya V. Markitantova
- Koltzov Institute of Developmental Biology of the Russian Academy of Sciences, 26 Vavilov Street, 119334 Moscow, Russia; (L.A.R.); (M.A.A.)
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2
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Mullin NK, Voigt AP, Boese EA, Liu X, Stone EM, Tucker BA, Mullins RF. Transcriptomic and Chromatin Accessibility Analysis of the Human Macular and Peripheral Retinal Pigment Epithelium at the Single-Cell Level. THE AMERICAN JOURNAL OF PATHOLOGY 2023; 193:1750-1761. [PMID: 36775060 PMCID: PMC10616710 DOI: 10.1016/j.ajpath.2023.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/12/2023] [Accepted: 01/26/2023] [Indexed: 02/12/2023]
Abstract
Some human retinal diseases are characterized by pathology that is restricted to specific cell types and to specific regions of the eye. Several disease entities either selectively affect or spare the macula, the retina region at the center of the posterior pole. Photoreceptor cells in the macula are involved in high-acuity vision and require metabolic support from non-neuronal cell types. Some macular diseases involve the retinal pigment epithelium (RPE), an epithelial cell layer with several metabolic-support functions essential for the overlying photoreceptors. In the current study, the ways in which RPE confers region-specific disease susceptibility were determined by examining heterogeneity within RPE tissue from human donors. RPE nuclei from the macular and peripheral retina were profiled using joint single-nucleus RNA and ATAC sequencing. The expression of several genes differed between macular and peripheral RPE. Region-specific ATAC peaks were found, suggesting regulatory elements used exclusively by macular or peripheral RPE. Across anatomic regions, subpopulations of RPE were identified that appeared to have differential levels of expression of visual cycle genes. Finally, loci associated with age-related macular degeneration were examined for a better understanding of RPE-specific disease phenotypes. These findings showed variations in the regulation of gene expression in the human RPE by region and subpopulation, and provide a source for a better understanding of the molecular basis of macular disease.
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Affiliation(s)
- Nathaniel K Mullin
- Institute for Vision Research, University of Iowa, Iowa City, Iowa; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa; Medical Scientist Training Program, University of Iowa, Iowa City, Iowa
| | - Andrew P Voigt
- Institute for Vision Research, University of Iowa, Iowa City, Iowa; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa; Medical Scientist Training Program, University of Iowa, Iowa City, Iowa
| | - Erin A Boese
- Institute for Vision Research, University of Iowa, Iowa City, Iowa; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa
| | - Xiuying Liu
- Institute for Vision Research, University of Iowa, Iowa City, Iowa; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa
| | - Edwin M Stone
- Institute for Vision Research, University of Iowa, Iowa City, Iowa; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa
| | - Budd A Tucker
- Institute for Vision Research, University of Iowa, Iowa City, Iowa; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa
| | - Robert F Mullins
- Institute for Vision Research, University of Iowa, Iowa City, Iowa; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa.
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3
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Single-cell RNA sequencing in vision research: Insights into human retinal health and disease. Prog Retin Eye Res 2020; 83:100934. [PMID: 33383180 DOI: 10.1016/j.preteyeres.2020.100934] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 11/27/2020] [Accepted: 12/01/2020] [Indexed: 01/03/2023]
Abstract
Gene expression provides valuable insight into cell function. As such, vision researchers have frequently employed gene expression studies to better understand retinal physiology and disease. With the advent of single-cell RNA sequencing, expression experiments provide an unparalleled resolution of information. Instead of studying aggregated gene expression across all cells in a heterogenous tissue, single-cell technology maps RNA to an individual cell, which facilitates grouping of retinal and choroidal cell types for further study. Single-cell RNA sequencing has been quickly adopted by both basic and translational vision researchers, and single-cell level gene expression has been studied in the visual systems of animal models, retinal organoids, and primary human retina, RPE, and choroid. These experiments have generated detailed atlases of gene expression and identified new retinal cell types. Likewise, single-cell RNA sequencing investigations have characterized how gene expression changes in the setting of many retinal diseases, including how choroidal endothelial cells are altered in age-related macular degeneration. In addition, this technology has allowed vision researchers to discover drivers of retinal development and model rare retinal diseases with induced pluripotent stem cells. In this review, we will overview the growing number of single-cell RNA sequencing studies in the field of vision research. We will summarize experimental considerations for designing single-cell RNA sequencing experiments and highlight important advancements in retinal, RPE, choroidal, and retinal organoid biology driven by this technology. Finally, we generalize these findings to genes involved in retinal degeneration and outline the future of single-cell expression experiments in studying retinal disease.
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4
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Livingstone I, Uversky VN, Furniss D, Wiberg A. The Pathophysiological Significance of Fibulin-3. Biomolecules 2020; 10:E1294. [PMID: 32911658 PMCID: PMC7563619 DOI: 10.3390/biom10091294] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 09/03/2020] [Accepted: 09/04/2020] [Indexed: 02/07/2023] Open
Abstract
Fibulin-3 (also known as EGF-containing fibulin extracellular matrix protein 1 (EFEMP1)) is a secreted extracellular matrix glycoprotein, encoded by the EFEMP1 gene that belongs to the eight-membered fibulin protein family. It has emerged as a functionally unique member of this family, with a diverse array of pathophysiological associations predominantly centered on its role as a modulator of extracellular matrix (ECM) biology. Fibulin-3 is widely expressed in the human body, especially in elastic-fibre-rich tissues and ocular structures, and interacts with enzymatic ECM regulators, including tissue inhibitor of metalloproteinase-3 (TIMP-3). A point mutation in EFEMP1 causes an inherited early-onset form of macular degeneration called Malattia Leventinese/Doyne honeycomb retinal dystrophy (ML/DHRD). EFEMP1 genetic variants have also been associated in genome-wide association studies with numerous complex inherited phenotypes, both physiological (namely, developmental anthropometric traits) and pathological (many of which involve abnormalities of connective tissue function). Furthermore, EFEMP1 expression changes are implicated in the progression of numerous types of cancer, an area in which fibulin-3 has putative significance as a therapeutic target. Here we discuss the potential mechanistic roles of fibulin-3 in these pathologies and highlight how it may contribute to the development, structural integrity, and emergent functionality of the ECM and connective tissues across a range of anatomical locations. Its myriad of aetiological roles positions fibulin-3 as a molecule of interest across numerous research fields and may inform our future understanding and therapeutic approach to many human diseases in clinical settings.
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Affiliation(s)
- Imogen Livingstone
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Nuffield Orthopaedic Centre, Oxford OX3 7LD, UK; (I.L.); (D.F.)
| | - Vladimir N. Uversky
- Laboratory of New Methods in Biology, Institute for Biological Instrumentation, Russian Academy of Sciences, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Pushchino 142290, Moscow Region, Russia;
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA
| | - Dominic Furniss
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Nuffield Orthopaedic Centre, Oxford OX3 7LD, UK; (I.L.); (D.F.)
- Department of Plastic and Reconstructive Surgery, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Akira Wiberg
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Botnar Research Centre, Nuffield Orthopaedic Centre, Oxford OX3 7LD, UK; (I.L.); (D.F.)
- Department of Plastic and Reconstructive Surgery, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 9DU, UK
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5
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Voigt AP, Whitmore SS, Lessing ND, DeLuca AP, Tucker BA, Stone EM, Mullins RF, Scheetz TE. Spectacle: An interactive resource for ocular single-cell RNA sequencing data analysis. Exp Eye Res 2020; 200:108204. [PMID: 32910939 DOI: 10.1016/j.exer.2020.108204] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 08/06/2020] [Accepted: 08/25/2020] [Indexed: 12/11/2022]
Abstract
Single-cell RNA sequencing has revolutionized ocular gene expression studies. This technology has enabled researchers to identify expression signatures for rare cell types and characterize how gene expression changes across biological conditions, such as topographic region or disease status. However, sharing single-cell RNA sequencing results remains a major obstacle, particular for individuals without a computational background. To address these limitations, we developed Spectacle, an interactive web-based resource for exploring previously published single-cell RNA sequencing data from ocular studies. Spectacle is powered by a locally developed R package, cellcuratoR, which utilizes the Shiny framework in R to generate interactive visualizations for single-cell expression data. Spectacle contains five pre-processed ocular single-cell RNA sequencing data sets and is accessible via the web at OcularGeneExpression.org/singlecell. With Spectacle, users can interactively identify which cell types express a gene of interest, detect transcriptomic subpopulations within a cell type, and perform highly flexible differential expression analyses. The freely-available Spectacle system reduces the bioinformatic barrier for interacting with rich single-cell RNA sequencing studies from ocular tissues, making it easy to quickly identify cell types that express a gene of interest.
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Affiliation(s)
- Andrew P Voigt
- Departments of Ophthalmology and Visual Sciences, the University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA; Institute for Vision Research, the University of Iowa, Iowa City, IA, 52242, USA
| | - S Scott Whitmore
- Departments of Ophthalmology and Visual Sciences, the University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA; Institute for Vision Research, the University of Iowa, Iowa City, IA, 52242, USA
| | - Nicholas D Lessing
- Departments of Ophthalmology and Visual Sciences, the University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA; Institute for Vision Research, the University of Iowa, Iowa City, IA, 52242, USA
| | - Adam P DeLuca
- Departments of Ophthalmology and Visual Sciences, the University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA; Institute for Vision Research, the University of Iowa, Iowa City, IA, 52242, USA
| | - Budd A Tucker
- Departments of Ophthalmology and Visual Sciences, the University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA; Institute for Vision Research, the University of Iowa, Iowa City, IA, 52242, USA
| | - Edwin M Stone
- Departments of Ophthalmology and Visual Sciences, the University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA; Institute for Vision Research, the University of Iowa, Iowa City, IA, 52242, USA
| | - Robert F Mullins
- Departments of Ophthalmology and Visual Sciences, the University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA; Institute for Vision Research, the University of Iowa, Iowa City, IA, 52242, USA
| | - Todd E Scheetz
- Departments of Ophthalmology and Visual Sciences, the University of Iowa Carver College of Medicine, Iowa City, IA, 52242, USA; Institute for Vision Research, the University of Iowa, Iowa City, IA, 52242, USA.
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Ibrahim AS, Hussein K, Wang F, Wan M, Saad N, Essa M, Kim I, Shakoor A, Owen LA, DeAngelis MM, Al-Shabrawey M. Bone Morphogenetic Protein (BMP)4 But Not BMP2 Disrupts the Barrier Integrity of Retinal Pigment Epithelia and Induces Their Migration: A Potential Role in Neovascular Age-Related Macular Degeneration. J Clin Med 2020; 9:jcm9072293. [PMID: 32707711 PMCID: PMC7408815 DOI: 10.3390/jcm9072293] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 07/04/2020] [Accepted: 07/14/2020] [Indexed: 12/22/2022] Open
Abstract
Disruption of retinal pigment epithelial (RPE) barrier integrity and RPE migration are hallmark features in neovascular age-related macular degeneration (nAMD), but the underlying causes and pathophysiology are not completely well-defined. Herein, we aimed to evaluate the effect of bone morphogenetic proteins (BMPs) on the barrier function and migration of RPE. In particular, we investigated the role of BMP2 and BMP4 in these processes as our analysis of RNA-sequencing (seq) data from human donor eyes demonstrated that they are highly differentially expressed BMP members in macular RPE/choroid versus macular retina. We used electrical cell-substrate impedance sensing (ECIS) system to monitor precisely in real time the barrier integrity and migration of ARPE-19 after treatment with various concentrations of BMP2 or BMP4. Immunofluorescence was also used to assess the changes in the expression and the organization of the key tight junction protein, zona occludens (ZO)-1, in ARPE-19 cells under BMP2 or BMP4 treatment. This was followed by measuring the activity of matrix metalloproteinases (MMPs). Finally, RNA-seq and ELISA were used to determine the local and circulating levels of BMP2 and BMP4 in retinas and serum samples from nAMD donors. Our ECIS results showed that BMP4 but not BMP2 decreased the transcellular electrical resistance (TER) of ARPE-19 and increased their migration in comparison with control (vehicle-treated cells). Furthermore, immunofluorescence showed a disorganization of ZO-1 in BMP4-treated ARPE-19 not in BMP2-treated cells or vehicle-treated controls. This effect of BMP4 was associated with significant increases in the activity of MMPs, specifically MMP2. Lastly, these results were corroborated by additional findings that circulating but not local BMP4 levels were significantly higher in nAMD donor samples compared to controls. Collectively, our results demonstrated unreported effects of BMP4 on inducing RPE dysfunction and suggest that BMP4 but not BMP2 may represent a potential therapeutic target in nAMD.
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Affiliation(s)
- Ahmed S. Ibrahim
- Department of Ophthalmology, Visual, and Anatomical Sciences, Department of Pharmacology, Wayne State University, Detroit, MI 48201, USA
- Department of Biochemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
- Correspondence: (A.S.I.); (M.A.-S.); Tel.: +313-577-7854 or 313-577-7864 (A.S.I.); +1-(706)-721-4278 (M.A.-S.)
| | - Khaled Hussein
- Department of Medicine and Surgery, Oral and Dental Research Division, National Research Centre, Cairo 12622, Egypt;
- Department of Oral Biology and Diagnostic Sciences, Augusta University, Augusta, GA 30912, USA; (F.W.); (M.W.); (N.S.); (M.E.)
| | - Fang Wang
- Department of Oral Biology and Diagnostic Sciences, Augusta University, Augusta, GA 30912, USA; (F.W.); (M.W.); (N.S.); (M.E.)
- Department of Traditional Chinese Medicine, School of Medicine, Jianghan University, Wuhan 430199, China
| | - Ming Wan
- Department of Oral Biology and Diagnostic Sciences, Augusta University, Augusta, GA 30912, USA; (F.W.); (M.W.); (N.S.); (M.E.)
- Department of Traditional Chinese Medicine, School of Medicine, Jianghan University, Wuhan 430199, China
| | - Nancy Saad
- Department of Oral Biology and Diagnostic Sciences, Augusta University, Augusta, GA 30912, USA; (F.W.); (M.W.); (N.S.); (M.E.)
- Dental school, University of Alberta Canada, Edmonton AB T6G 2R3, Canada
| | - Maamon Essa
- Department of Oral Biology and Diagnostic Sciences, Augusta University, Augusta, GA 30912, USA; (F.W.); (M.W.); (N.S.); (M.E.)
- Department of Medical Biochemistry, Mansoura Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt
| | - Ivana Kim
- Retina Service, Harvard Medical School, Massachusetts Eye and Ear, Boston, MA 02115, USA;
| | - Akbar Shakoor
- Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, UT 84112, USA; (A.S.); (L.A.O.); (M.M.D.)
| | - Leah A. Owen
- Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, UT 84112, USA; (A.S.); (L.A.O.); (M.M.D.)
| | - Margaret M. DeAngelis
- Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, UT 84112, USA; (A.S.); (L.A.O.); (M.M.D.)
- Department of Population Health Sciences, University of Utah School of Medicine; Salt Lake City, UT 84132, USA
- Department of Ophthalmology, Jacobs School of Medicine and Biomedical Engineering, University at Buffalo SUNY, and the VA Western New York Healthcare System, Buffalo, NY 14215, USA
| | - Mohamed Al-Shabrawey
- Department of Oral Biology and Diagnostic Sciences, Augusta University, Augusta, GA 30912, USA; (F.W.); (M.W.); (N.S.); (M.E.)
- Department of Cellular Biology and Anatomy, Augusta University, GA 30912, USA
- Department of Ophthalmology and Culver Vision Discovery Institute, Augusta University, Augusta, GA 30912, USA
- Department of Anatomy, Mansoura Faculty of Medicine, Mansoura University-Egypt, Dakahlia Governorate 35516, Egypt
- Correspondence: (A.S.I.); (M.A.-S.); Tel.: +313-577-7854 or 313-577-7864 (A.S.I.); +1-(706)-721-4278 (M.A.-S.)
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7
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Waksmunski AR, Grunin M, Kinzy TG, Igo RP, Haines JL, Cooke Bailey JN. Statistical driver genes as a means to uncover missing heritability for age-related macular degeneration. BMC Med Genomics 2020; 13:95. [PMID: 32631374 PMCID: PMC7336430 DOI: 10.1186/s12920-020-00747-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 06/22/2020] [Indexed: 11/26/2022] Open
Abstract
Background Age-related macular degeneration (AMD) is a progressive retinal disease contributing to blindness worldwide. Multiple estimates for AMD heritability (h2) exist; however, a substantial proportion of h2 is not attributable to known genomic loci. The International AMD Genomics Consortium (IAMDGC) gathered the largest dataset of advanced AMD (ADV) cases and controls available and identified 34 loci containing 52 independent risk variants defining known AMD h2. To better define AMD heterogeneity, we used Pathway Analysis by Randomization Incorporating Structure (PARIS) on the IAMDGC data and identified 8 statistical driver genes (SDGs), including 2 novel SDGs not discovered by the IAMDGC. We chose to further investigate these pathway-based risk genes and determine their contribution to ADV h2, as well as the differential ADV subtype h2. Methods We performed genomic-relatedness-based restricted maximum-likelihood (GREML) analyses on ADV, geographic atrophy (GA), and choroidal neovascularization (CNV) subtypes to investigate the h2 of genotyped variants on the full DNA array chip, 34 risk loci (n = 2758 common variants), 52 variants from the IAMDGC 2016 GWAS, and the 8 SDGs, specifically the novel 2 SDGs, PPARA and PLCG2. Results Via GREML, full chip h2 was 44.05% for ADV, 46.37% for GA, and 62.03% for CNV. The lead 52 variants’ h2 (ADV: 14.52%, GA: 8.02%, CNV: 13.62%) and 34 loci h2 (ADV: 13.73%, GA: 8.81%, CNV: 12.89%) indicate that known variants contribute ~ 14% to ADV h2. SDG variants account for a small percentage of ADV, GA, and CNV heritability, but estimates based on the combination of SDGs and the 34 known loci are similar to those calculated for known loci alone. We identified modest epistatic interactions among variants in the 2 SDGs and the 52 IAMDGC variants, including modest interactions between variants in PPARA and PLCG2. Conclusions Pathway analyses, which leverage biological relationships among genes in a pathway, may be useful in identifying additional loci that contribute to the heritability of complex disorders in a non-additive manner. Heritability analyses of these loci, especially amongst disease subtypes, may provide clues to the importance of specific genes to the genetic architecture of AMD.
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Affiliation(s)
- Andrea R Waksmunski
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA.,Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, 44106, USA.,Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Michelle Grunin
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, 44106, USA.,Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Tyler G Kinzy
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Robert P Igo
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Jonathan L Haines
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA.,Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, 44106, USA.,Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Jessica N Cooke Bailey
- Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, 44106, USA. .,Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA.
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Choquet H, Melles RB, Yin J, Hoffmann TJ, Thai KK, Kvale MN, Banda Y, Hardcastle AJ, Tuft SJ, Glymour MM, Schaefer C, Risch N, Nair KS, Hysi PG, Jorgenson E. A multiethnic genome-wide analysis of 44,039 individuals identifies 41 new loci associated with central corneal thickness. Commun Biol 2020; 3:301. [PMID: 32528159 PMCID: PMC7289804 DOI: 10.1038/s42003-020-1037-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 05/22/2020] [Indexed: 02/08/2023] Open
Abstract
Central corneal thickness (CCT) is one of the most heritable human traits, with broad-sense heritability estimates ranging between 0.68 to 0.95. Despite the high heritability and numerous previous association studies, only 8.5% of CCT variance is currently explained. Here, we report the results of a multiethnic meta-analysis of available genome-wide association studies in which we find association between CCT and 98 genomic loci, of which 41 are novel. Among these loci, 20 were significantly associated with keratoconus, and one (RAPSN rs3740685) was significantly associated with glaucoma after Bonferroni correction. Two-sample Mendelian randomization analysis suggests that thinner CCT does not causally increase the risk of primary open-angle glaucoma. This large CCT study explains up to 14.2% of CCT variance and increases substantially our understanding of the etiology of CCT variation. This may open new avenues of investigation into human ocular traits and their relationship to the risk of vision disorders.
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Affiliation(s)
- Hélène Choquet
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, 94612, USA.
| | - Ronald B Melles
- KPNC, Department of Ophthalmology, Redwood City, CA, 94063, USA
| | - Jie Yin
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, 94612, USA
| | - Thomas J Hoffmann
- Institute for Human Genetics, University of California San Francisco (UCSF), San Francisco, CA, 94143, USA
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, 94158, USA
| | - Khanh K Thai
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, 94612, USA
| | - Mark N Kvale
- Institute for Human Genetics, University of California San Francisco (UCSF), San Francisco, CA, 94143, USA
| | - Yambazi Banda
- Institute for Human Genetics, University of California San Francisco (UCSF), San Francisco, CA, 94143, USA
| | - Alison J Hardcastle
- UCL Institute of Ophthalmology, University College London, London, UK
- National Institute of Health Research Biomedical Research Centre for Ophthalmology, and UCL Institute of Ophthalmology, London, UK
| | | | - M Maria Glymour
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, 94158, USA
| | - Catherine Schaefer
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, 94612, USA
| | - Neil Risch
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, 94612, USA
- Institute for Human Genetics, University of California San Francisco (UCSF), San Francisco, CA, 94143, USA
- Department of Epidemiology and Biostatistics, UCSF, San Francisco, CA, 94158, USA
| | - K Saidas Nair
- Departments of Ophthalmology and Anatomy, School of Medicine, UCSF, San Francisco, CA, 94143, USA
| | - Pirro G Hysi
- King's College London, Section of Ophthalmology, School of Life Course Sciences, London, UK
- King's College London, Department of Twin Research and Genetic Epidemiology, London, UK
- University College London, Great Ormond Street Hospital Institute of Child Health, London, UK
| | - Eric Jorgenson
- Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA, 94612, USA.
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9
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Rajapakse D, Peterson K, Mishra S, Fan J, Lerner J, Campos M, Wistow G. Amelotin is expressed in retinal pigment epithelium and localizes to hydroxyapatite deposits in dry age-related macular degeneration. Transl Res 2020; 219:45-62. [PMID: 32160961 PMCID: PMC7197213 DOI: 10.1016/j.trsl.2020.02.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 02/19/2020] [Accepted: 02/20/2020] [Indexed: 11/28/2022]
Abstract
Deposition of hydroxyapatite (HAP) basal to the retinal pigment epithelium (RPE) is linked to the progression of age-related macular degeneration (AMD). Serum-deprivation of RPE cells in culture mimics some features of AMD. We now show that serum-deprivation also leads to the induction of amelotin (AMTN), a protein involved in hydroxyapatite mineralization in enamel. HAP is formed in our culture model and is blocked by siRNA inhibition of AMTN expression. In situ hybridization and immunofluorescence imaging of human eye tissue show that AMTN is expressed in RPE of donor eyes with geographic atrophy ("dry" AMD) in regions with soft drusen containing HAP spherules or nodules. AMTN is not found in hard drusen, normal RPE, or donor eyes diagnosed with wet AMD. These findings suggest that AMTN is involved in formation of HAP spherules or nodules in AMD, and as such provides a new therapeutic target for slowing disease progression.
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Affiliation(s)
- Dinusha Rajapakse
- Section on Molecular Structure and Functional Genomics, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Katherine Peterson
- Section on Molecular Structure and Functional Genomics, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Sanghamitra Mishra
- Section on Molecular Structure and Functional Genomics, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Jianguo Fan
- Section on Molecular Structure and Functional Genomics, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Joshua Lerner
- Section on Molecular Structure and Functional Genomics, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Maria Campos
- Histopathology Core Facility, National Eye Institute, National Institutes of Health, Bethesda, Maryland
| | - Graeme Wistow
- Section on Molecular Structure and Functional Genomics, National Eye Institute, National Institutes of Health, Bethesda, Maryland.
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10
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Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error. Commun Biol 2020; 3:133. [PMID: 32193507 PMCID: PMC7081241 DOI: 10.1038/s42003-020-0802-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 01/24/2020] [Indexed: 12/22/2022] Open
Abstract
Corneal curvature, a highly heritable trait, is a key clinical endophenotype for myopia - a major cause of visual impairment and blindness in the world. Here we present a trans-ethnic meta-analysis of corneal curvature GWAS in 44,042 individuals of Caucasian and Asian with replication in 88,218 UK Biobank data. We identified 47 loci (of which 26 are novel), with population-specific signals as well as shared signals across ethnicities. Some identified variants showed precise scaling in corneal curvature and eye elongation (i.e. axial length) to maintain eyes in emmetropia (i.e. HDAC11/FBLN2 rs2630445, RBP3 rs11204213); others exhibited association with myopia with little pleiotropic effects on eye elongation. Implicated genes are involved in extracellular matrix organization, developmental process for body and eye, connective tissue cartilage and glycosylation protein activities. Our study provides insights into population-specific novel genes for corneal curvature, and their pleiotropic effect in regulating eye size or conferring susceptibility to myopia.
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11
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Owen LA, Shakoor A, Morgan DJ, Hejazi AA, McEntire MW, Brown JJ, Farrer LA, Kim I, Vitale A, DeAngelis MM. The Utah Protocol for Postmortem Eye Phenotyping and Molecular Biochemical Analysis. Invest Ophthalmol Vis Sci 2019; 60:1204-1212. [PMID: 30924847 PMCID: PMC6440527 DOI: 10.1167/iovs.18-24254] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 01/31/2019] [Indexed: 12/14/2022] Open
Abstract
Purpose Current understanding of local disease pathophysiology in AMD is limited. Analysis of the human disease-affected tissue is most informative, as gene expression, expressed quantitative trait loci, microenvironmental, and epigenetic changes can be tissue, cell type, and location specific. Development of a novel translational treatment and prevention strategies particularly for earlier forms of AMD are needed, although access to human ocular tissue analysis is challenging. We present a standardized protocol to study rapidly processed postmortem donor eyes for molecular biochemical and genomic studies. Methods We partnered with the Utah Lions Eye Bank to obtain donor human eyes, blood, and vitreous, within 6 hours postmortem. Phenotypic analysis was performed using spectral-domain optical coherence tomography (SD-OCT) and color fundus photography. Macular and extramacular tissues were immediately isolated, and the neural retina and retinal pigment epithelium/choroid from each specimen were separated and preserved. Ocular disease phenotype was analyzed using clinically relevant grading criteria by a group of four ophthalmologists incorporating data from SD-OCT retinal images, fundus photographs, and medical records. Results The use of multimodal imaging leads to greater resolution of retinal pathology, allowing greater phenotypic rigor for both interobserver phenotype and known clinical diagnoses. Further, our analysis resulted in excellent quality RNA, which demonstrated appropriate tissue segregation. Conclusions The Utah protocol is a standardized methodology for analysis of disease mechanisms in AMD. It uniquely allows for simultaneous rigorous phenotypic, molecular biochemical, and genomic analysis of both systemic and local tissues. This better enables the development of disease biomarkers and therapeutic interventions.
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Affiliation(s)
- Leah A. Owen
- Department of Ophthalmology and Visual Sciences, University of Utah, School of Medicine, Salt Lake City, Utah, United States
| | - Akbar Shakoor
- Department of Ophthalmology and Visual Sciences, University of Utah, School of Medicine, Salt Lake City, Utah, United States
| | - Denise J. Morgan
- Department of Ophthalmology and Visual Sciences, University of Utah, School of Medicine, Salt Lake City, Utah, United States
| | - Andre A. Hejazi
- Department of Ophthalmology and Visual Sciences, University of Utah, School of Medicine, Salt Lake City, Utah, United States
| | | | - Jared J. Brown
- Utah Lions Eye Bank, Salt Lake City, Utah, United States
| | - Lindsay A. Farrer
- Departments of Medicine (Biomedical Genetics), Neurology, Ophthalmology, Epidemiology, and Biostatistics, Boston University Schools of Medicine and Public Health, Boston, Massachusetts, United States
| | - Ivana Kim
- Retina Service, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts, United States
| | - Albert Vitale
- Department of Ophthalmology and Visual Sciences, University of Utah, School of Medicine, Salt Lake City, Utah, United States
| | - Margaret M. DeAngelis
- Department of Ophthalmology and Visual Sciences, University of Utah, School of Medicine, Salt Lake City, Utah, United States
- Department of Pharmacotherapy, College of Pharmacy, University of Utah, Salt Lake City, Utah, United States
- Department of Population Health Sciences, University of Utah, School of Medicine, Salt Lake City, Utah, United States
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12
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Sannan NS, Shan X, Gregory-Evans K, Kusumi K, Gregory-Evans CY. Anolis carolinensis as a model to understand the molecular and cellular basis of foveal development. Exp Eye Res 2018; 173:138-147. [DOI: 10.1016/j.exer.2018.05.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 05/02/2018] [Accepted: 05/14/2018] [Indexed: 12/12/2022]
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13
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A multiethnic genome-wide association study of primary open-angle glaucoma identifies novel risk loci. Nat Commun 2018; 9:2278. [PMID: 29891935 PMCID: PMC5995837 DOI: 10.1038/s41467-018-04555-4] [Citation(s) in RCA: 96] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 04/23/2018] [Indexed: 01/18/2023] Open
Abstract
Primary open-angle glaucoma (POAG) is a leading cause of irreversible vision loss, yet much of the genetic risk remains unaccounted for, especially in African-Americans who have a higher risk for developing POAG. We conduct a multiethnic genome-wide association study (GWAS) of POAG in the GERA cohort, with replication in the UK Biobank (UKB), and vice versa, GWAS in UKB with replication in GERA. We identify 24 loci (P < 5.0 × 10-8), including 14 novel, of which 9 replicate (near FMNL2, PDE7B, TMTC2, IKZF2, CADM2, DGKG, ANKH, EXOC2, and LMX1B). Functional studies support intraocular pressure-related influences of FMNL2 and LMX1B, with certain Lmx1b mutations causing high IOP and glaucoma resembling POAG in mice. The newly identified loci increase the proportion of variance explained in each GERA race/ethnicity group, with the largest gain in African-Americans (0.5-3.1%). A meta-analysis combining GERA and UKB identifies 24 additional loci. Our study provides important insights into glaucoma pathogenesis.
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14
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Kim EJ, Grant GR, Bowman AS, Haider N, Gudiseva HV, Chavali VRM. Complete Transcriptome Profiling of Normal and Age-Related Macular Degeneration Eye Tissues Reveals Dysregulation of Anti-Sense Transcription. Sci Rep 2018; 8:3040. [PMID: 29445097 PMCID: PMC5813239 DOI: 10.1038/s41598-018-21104-7] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 01/30/2018] [Indexed: 11/21/2022] Open
Abstract
Age-related macular degeneration (AMD) predominantly affects the retina and retinal pigment epithelium in the posterior eye. While there are numerous studies investigating the non-coding transcriptome of retina and RPE, few significant differences between AMD and normal tissues have been reported. Strand specific RNA sequencing of both peripheral retina (PR) and RPE-Choroid-Sclera (PRCS), in both AMD and matched normal controls were generated. The transcriptome analysis reveals a highly significant and consistent impact on anti-sense transcription as well as moderate changes in the regulation of non-coding (sense) RNA. Hundreds of genes that do not express anti-sense transcripts in normal PR and PRCS demonstrate significant anti-sense expression in AMD in all patient samples. Several pathways are highly enriched in the upregulated anti-sense transcripts—in particular the EIF2 signaling pathway. These results call for a deeper exploration into anti-sense and noncoding RNA regulation in AMD and their potential as therapeutic targets.
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Affiliation(s)
- Eun Ji Kim
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Gregory R Grant
- Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Anita S Bowman
- Department of Ophthalmology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.,Functional Genomics Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Naqi Haider
- Department of Ophthalmology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.,Functional Genomics Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Harini V Gudiseva
- Department of Ophthalmology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
| | - Venkata Ramana Murthy Chavali
- Department of Ophthalmology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA. .,Functional Genomics Lab, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
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15
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A large multi-ethnic genome-wide association study identifies novel genetic loci for intraocular pressure. Nat Commun 2017; 8:2108. [PMID: 29235454 PMCID: PMC5727399 DOI: 10.1038/s41467-017-01913-6] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Accepted: 10/23/2017] [Indexed: 01/30/2023] Open
Abstract
Elevated intraocular pressure (IOP) is a major risk factor for glaucoma, a leading cause of blindness. IOP heritability has been estimated to up to 67%, and to date only 11 IOP loci have been reported, accounting for 1.5% of IOP variability. Here, we conduct a genome-wide association study of IOP in 69,756 untreated individuals of European, Latino, Asian, and African ancestry. Multiple longitudinal IOP measurements were collected through electronic health records and, in total, 356,987 measurements were included. We identify 47 genome-wide significant IOP-associated loci (P < 5 × 10−8); of the 40 novel loci, 14 replicate at Bonferroni significance in an external genome-wide association study analysis of 37,930 individuals of European and Asian descent. We further examine their effect on the risk of glaucoma within our discovery sample. Using longitudinal IOP measurements from electronic health records improves our power to identify new variants, which together explain 3.7% of IOP variation. Intraocular pressure (IOP) is a major risk factor for glaucoma. Here, Choquet and co-authors perform a multi-ethnic genome-wide association study of repeat IOP measurements in 69,756 individuals and identify 40 novel loci, 36 of which show directionally consistent effects in glaucoma.
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16
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Welby E, Lakowski J, Di Foggia V, Budinger D, Gonzalez-Cordero A, Lun ATL, Epstein M, Patel A, Cuevas E, Kruczek K, Naeem A, Minneci F, Hubank M, Jones DT, Marioni JC, Ali RR, Sowden JC. Isolation and Comparative Transcriptome Analysis of Human Fetal and iPSC-Derived Cone Photoreceptor Cells. Stem Cell Reports 2017; 9:1898-1915. [PMID: 29153988 PMCID: PMC5785701 DOI: 10.1016/j.stemcr.2017.10.018] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 10/14/2017] [Accepted: 10/15/2017] [Indexed: 11/20/2022] Open
Abstract
Loss of cone photoreceptors, crucial for daylight vision, has the greatest impact on sight in retinal degeneration. Transplantation of stem cell-derived L/M-opsin cones, which form 90% of the human cone population, could provide a feasible therapy to restore vision. However, transcriptomic similarities between fetal and stem cell-derived cones remain to be defined, in addition to development of cone cell purification strategies. Here, we report an analysis of the human L/M-opsin cone photoreceptor transcriptome using an AAV2/9.pR2.1:GFP reporter. This led to the identification of a cone-enriched gene signature, which we used to demonstrate similar gene expression between fetal and stem cell-derived cones. We then defined a cluster of differentiation marker combination that, when used for cell sorting, significantly enriches for cone photoreceptors from the fetal retina and stem cell-derived retinal organoids, respectively. These data may facilitate more efficient isolation of human stem cell-derived cones for use in clinical transplantation studies.
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Affiliation(s)
- Emily Welby
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Jorn Lakowski
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Valentina Di Foggia
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Dimitri Budinger
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Anai Gonzalez-Cordero
- Department of Genetics, UCL Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, UK
| | - Aaron T L Lun
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Michael Epstein
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Aara Patel
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Elisa Cuevas
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Kamil Kruczek
- Department of Genetics, UCL Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, UK
| | - Arifa Naeem
- Department of Genetics, UCL Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, UK
| | - Federico Minneci
- Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK
| | - Mike Hubank
- UCL Genomics, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - David T Jones
- Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK
| | - John C Marioni
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; EMBL-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Robin R Ali
- Department of Genetics, UCL Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, UK
| | - Jane C Sowden
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK.
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17
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Aung T, Ozaki M, Lee MC, Schlötzer-Schrehardt U, Thorleifsson G, Mizoguchi T, Igo RP, Haripriya A, Williams SE, Astakhov YS, Orr AC, Burdon KP, Nakano S, Mori K, Abu-Amero K, Hauser M, Li Z, Prakadeeswari G, Bailey JNC, Cherecheanu AP, Kang JH, Nelson S, Hayashi K, Manabe SI, Kazama S, Zarnowski T, Inoue K, Irkec M, Coca-Prados M, Sugiyama K, Järvelä I, Schlottmann P, Lerner SF, Lamari H, Nilgün Y, Bikbov M, Park KH, Cha SC, Yamashiro K, Zenteno JC, Jonas JB, Kumar RS, Perera SA, Chan ASY, Kobakhidze N, George R, Vijaya L, Do T, Edward DP, de Juan Marcos L, Pakravan M, Moghimi S, Ideta R, Bach-Holm D, Kappelgaard P, Wirostko B, Thomas S, Gaston D, Bedard K, Greer WL, Yang Z, Chen X, Huang L, Sang J, Jia H, Jia L, Qiao C, Zhang H, Liu X, Zhao B, Wang YX, Xu L, Leruez S, Reynier P, Chichua G, Tabagari S, Uebe S, Zenkel M, Berner D, Mossböck G, Weisschuh N, Hoja U, Welge-Luessen UC, Mardin C, Founti P, Chatzikyriakidou A, Pappas T, Anastasopoulos E, Lambropoulos A, Ghosh A, Shetty R, Porporato N, Saravanan V, Venkatesh R, Shivkumar C, Kalpana N, Sarangapani S, Kanavi MR, Beni AN, Yazdani S, Lashay A, Naderifar H, Khatibi N, Fea A, Lavia C, Dallorto L, Rolle T, Frezzotti P, Paoli D, Salvi E, Manunta P, Mori Y, Miyata K, Higashide T, Chihara E, Ishiko S, Yoshida A, Yanagi M, Kiuchi Y, Ohashi T, Sakurai T, Sugimoto T, Chuman H, Aihara M, Inatani M, Miyake M, Gotoh N, Matsuda F, Yoshimura N, Ikeda Y, Ueno M, Sotozono C, Jeoung JW, Sagong M, Park KH, Ahn J, Cruz-Aguilar M, Ezzouhairi SM, Rafei A, Chong YF, Ng XY, Goh SR, Chen Y, Yong VHK, Khan MI, Olawoye OO, Ashaye AO, Ugbede I, Onakoya A, Kizor-Akaraiwe N, Teekhasaenee C, Suwan Y, Supakontanasan W, Okeke S, Uche NJ, Asimadu I, Ayub H, Akhtar F, Kosior-Jarecka E, Lukasik U, Lischinsky I, Castro V, Grossmann RP, Sunaric Megevand G, Roy S, Dervan E, Silke E, Rao A, Sahay P, Fornero P, Cuello O, Sivori D, Zompa T, Mills RA, Souzeau E, Mitchell P, Wang JJ, Hewitt AW, Coote M, Crowston JG, Astakhov SY, Akopov EL, Emelyanov A, Vysochinskaya V, Kazakbaeva G, Fayzrakhmanov R, Al-Obeidan SA, Owaidhah O, Aljasim LA, Chowbay B, Foo JN, Soh RQ, Sim KS, Xie Z, Cheong AWO, Mok SQ, Soo HM, Chen XY, Peh SQ, Heng KK, Husain R, Ho SL, Hillmer AM, Cheng CY, Escudero-Domínguez FA, González-Sarmiento R, Martinon-Torres F, Salas A, Pathanapitoon K, Hansapinyo L, Wanichwecharugruang B, Kitnarong N, Sakuntabhai A, Nguyn HX, Nguyn GTT, Nguyn TV, Zenz W, Binder A, Klobassa DS, Hibberd ML, Davila S, Herms S, Nöthen MM, Moebus S, Rautenbach RM, Ziskind A, Carmichael TR, Ramsay M, Álvarez L, García M, González-Iglesias H, Rodríguez-Calvo PP, Fernández-Vega Cueto L, Oguz Ç, Tamcelik N, Atalay E, Batu B, Aktas D, Kasım B, Wilson MR, Coleman AL, Liu Y, Challa P, Herndon L, Kuchtey RW, Kuchtey J, Curtin K, Chaya CJ, Crandall A, Zangwill LM, Wong TY, Nakano M, Kinoshita S, den Hollander AI, Vesti E, Fingert JH, Lee RK, Sit AJ, Shingleton BJ, Wang N, Cusi D, Qamar R, Kraft P, Pericak-Vance MA, Raychaudhuri S, Heegaard S, Kivelä T, Reis A, Kruse FE, Weinreb RN, Pasquale LR, Haines JL, Thorsteinsdottir U, Jonasson F, Allingham RR, Milea D, Ritch R, Kubota T, Tashiro K, Vithana EN, Micheal S, Topouzis F, Craig JE, Dubina M, Sundaresan P, Stefansson K, Wiggs JL, Pasutto F, Khor CC. Genetic association study of exfoliation syndrome identifies a protective rare variant at LOXL1 and five new susceptibility loci. Nat Genet 2017; 49:993-1004. [PMID: 28553957 DOI: 10.1038/ng.3875] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 04/26/2017] [Indexed: 12/14/2022]
Abstract
Exfoliation syndrome (XFS) is the most common known risk factor for secondary glaucoma and a major cause of blindness worldwide. Variants in two genes, LOXL1 and CACNA1A, have previously been associated with XFS. To further elucidate the genetic basis of XFS, we collected a global sample of XFS cases to refine the association at LOXL1, which previously showed inconsistent results across populations, and to identify new variants associated with XFS. We identified a rare protective allele at LOXL1 (p.Phe407, odds ratio (OR) = 25, P = 2.9 × 10-14) through deep resequencing of XFS cases and controls from nine countries. A genome-wide association study (GWAS) of XFS cases and controls from 24 countries followed by replication in 18 countries identified seven genome-wide significant loci (P < 5 × 10-8). We identified association signals at 13q12 (POMP), 11q23.3 (TMEM136), 6p21 (AGPAT1), 3p24 (RBMS3) and 5q23 (near SEMA6A). These findings provide biological insights into the pathology of XFS and highlight a potential role for naturally occurring rare LOXL1 variants in disease biology.
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Affiliation(s)
- Tin Aung
- Singapore Eye Research Institute, Singapore.,Singapore National Eye Center, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mineo Ozaki
- Ozaki Eye Hospital, Hyuga, Miyazaki, Japan.,Department of Ophthalmology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Mei Chin Lee
- Singapore Eye Research Institute, Singapore.,Academic Clinical Program for Ophthalmology and Visual Sciences, Office of Clinical and Academic Faculty Affairs, Duke-NUS Graduate Medical School, Singapore
| | - Ursula Schlötzer-Schrehardt
- Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | | | | | - Robert P Igo
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | | | - Susan E Williams
- Division of Ophthalmology, University of the Witwatersrand, Johannesburg, South Africa
| | - Yury S Astakhov
- Department of Ophthalmology, Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia
| | - Andrew C Orr
- Department of Ophthalmology, Dalhousie University, Halifax, Nova Scotia, Canada.,Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kathryn P Burdon
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia.,Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Satoko Nakano
- Department of Ophthalmology, Oita University Faculty of Medicine, Oita, Japan
| | - Kazuhiko Mori
- Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Khaled Abu-Amero
- Department of Ophthalmology, College of Medicine, King Saud University, Riyadh, Saudi Arabia.,Department of Ophthalmology, College of Medicine, University of Florida, Jacksonville, Florida, USA
| | - Michael Hauser
- Singapore Eye Research Institute, Singapore.,Department of Ophthalmology, Duke University Eye Center, Durham, North Carolina, USA.,Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Zheng Li
- Genome Institute of Singapore, Singapore
| | | | - Jessica N Cooke Bailey
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Alina Popa Cherecheanu
- 'Carol Davila' University of Medicine and Pharmacy, Bucharest, Romania.,Department of Ophthalmology, University Emergency Hospital, Bucharest, Romania
| | - Jae H Kang
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sarah Nelson
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | | | | | | | - Tomasz Zarnowski
- Department of Diagnostics and Microsurgery of Glaucoma, Medical University, Lublin, Poland
| | | | - Murat Irkec
- Department of Ophthalmology, Hacettepe University, Faculty of Medicine, Ankara, Turkey
| | - Miguel Coca-Prados
- Fernández-Vega University Institute and Foundation of Ophthalmological Research, University of Oviedo, Oviedo, Spain.,Fernández-Vega Ophthalmological Institute, Oviedo, Spain.,Department of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Kazuhisa Sugiyama
- Department of Ophthalmology, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan
| | - Irma Järvelä
- Department of Medical Genetics, University of Helsinki, Helsinki, Finland
| | | | - S Fabian Lerner
- Fundación para el Estudio del Glaucoma, Buenos Aires, Argentina
| | - Hasnaa Lamari
- Clinique Spécialisée en Ophtalmologie Mohammedia, Mohammedia, Morocco
| | - Yildirim Nilgün
- Department of Ophthalmology, Eskisehir Osmangazi University, Meselik, Eskisehir, Turkey
| | | | - Ki Ho Park
- Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Soon Cheol Cha
- Department of Ophthalmology, Yeungnam University College of Medicine, Daegu, Republic of Korea
| | - Kenji Yamashiro
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Ophthalmology, Otsu Red Cross Hospital, Otsu, Japan
| | - Juan C Zenteno
- Genetics Department, Institute of Ophthalmology 'Conde de Valenciana', Mexico City, Mexico.,Biochemistry Department, Faculty of Medicine, UNAM, Mexico City, Mexico
| | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim of the Ruprecht Karls University of Heidelberg, Mannheim, Germany.,Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China
| | | | - Shamira A Perera
- Singapore Eye Research Institute, Singapore.,Singapore National Eye Center, Singapore
| | - Anita S Y Chan
- Singapore Eye Research Institute, Singapore.,Singapore National Eye Center, Singapore.,Academic Clinical Program for Ophthalmology and Visual Sciences, Office of Clinical and Academic Faculty Affairs, Duke-NUS Graduate Medical School, Singapore
| | | | - Ronnie George
- Jadhavbhai Nathamal Singhvi Department of Glaucoma, Medical Research Foundation, Chennai, India
| | - Lingam Vijaya
- Jadhavbhai Nathamal Singhvi Department of Glaucoma, Medical Research Foundation, Chennai, India
| | - Tan Do
- Vietnam National Institute of Ophthalmology, Hanoi, Vietnam
| | - Deepak P Edward
- King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia.,Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Lourdes de Juan Marcos
- Department of Ophthalmology, University Hospital of Salamanca, Salamanca, Spain.,Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain
| | - Mohammad Pakravan
- Ophthalmic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sasan Moghimi
- Farabi Eye Hospital, Tehran University Eye Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | | | - Barbara Wirostko
- John A. Moran Eye Center, Department of Ophthalmology, University of Utah, Salt Lake City, Utah, USA
| | - Samuel Thomas
- John A. Moran Eye Center, Department of Ophthalmology, University of Utah, Salt Lake City, Utah, USA
| | - Daniel Gaston
- Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Karen Bedard
- Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Wenda L Greer
- Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Zhenglin Yang
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.,School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xueyi Chen
- Department of Ophthalmology, First Affiliated Hospital of Xinjiang Medical University, Urumchi, China
| | - Lulin Huang
- Center for Human Molecular Biology and Genetics, Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.,Sichuan Translational Research Hospital, Chinese Academy of Sciences, Chengdu, China
| | - Jinghong Sang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China
| | - Hongyan Jia
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China
| | - Liyun Jia
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China.,Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Chunyan Qiao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China
| | - Hui Zhang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China
| | - Xuyang Liu
- Shenzhen Key Laboratory of Ophthalmology, Shenzhen Eye Hospital, Jinan University, Shenzhen, China
| | - Bowen Zhao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China.,Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ya-Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Liang Xu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China
| | - Stéphanie Leruez
- Département d'Ophtalmologie, Centre Hospitalier Universitaire, Angers, France
| | - Pascal Reynier
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire, Angers, France
| | | | | | - Steffen Uebe
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Matthias Zenkel
- Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Daniel Berner
- Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Georg Mossböck
- Department of Ophthalmology, Medical University Graz, Graz, Austria
| | - Nicole Weisschuh
- Institute for Ophthalmic Research, Centre for Ophthalmology, University of Tübingen, Tübingen, Germany
| | - Ursula Hoja
- Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Ulrich-Christoph Welge-Luessen
- Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Christian Mardin
- Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Panayiota Founti
- Department of Ophthalmology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Anthi Chatzikyriakidou
- Laboratory of General Biology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Theofanis Pappas
- Department of Ophthalmology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eleftherios Anastasopoulos
- Department of Ophthalmology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Alexandros Lambropoulos
- Laboratory of General Biology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Arkasubhra Ghosh
- GROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore, India
| | - Rohit Shetty
- Narayana Nethralaya Eye Hospital, Bangalore, India
| | | | - Vijayan Saravanan
- Department of Genetics, Aravind Medical Research Foundation, Madurai, India
| | | | | | | | | | - Mozhgan R Kanavi
- Ocular Tissue Engineering Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Afsaneh Naderi Beni
- Ophthalmic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shahin Yazdani
- Ophthalmic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Alireza Lashay
- Farabi Eye Hospital, Tehran University Eye Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Homa Naderifar
- Farabi Eye Hospital, Tehran University Eye Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Nassim Khatibi
- Farabi Eye Hospital, Tehran University Eye Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Antonio Fea
- Dipartimento di Scienze Chirurgiche, Università di Torino, Turin, Italy
| | - Carlo Lavia
- Dipartimento di Scienze Chirurgiche, Università di Torino, Turin, Italy
| | - Laura Dallorto
- Dipartimento di Scienze Chirurgiche, Università di Torino, Turin, Italy
| | - Teresa Rolle
- Dipartimento di Scienze Chirurgiche, Università di Torino, Turin, Italy
| | - Paolo Frezzotti
- Ophthalmology Unit, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Daniela Paoli
- Department of Ophthalmology, Monfalcone Hospital, Gorizia, Italy
| | - Erika Salvi
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Paolo Manunta
- Department of Nephrology, University Vita-Salute San Raffaele, Milan, Italy
| | | | | | - Tomomi Higashide
- Department of Ophthalmology, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan
| | | | - Satoshi Ishiko
- Department of Medicine and Engineering Combined Research Institute, Asahikawa Medical University, Asahikawa, Japan
| | - Akitoshi Yoshida
- Department of Ophthalmology, Asahikawa Medical University, Asahikawa, Japan
| | - Masahide Yanagi
- Department of Ophthalmology and Visual Sciences, Hiroshima University, Hiroshima, Japan
| | - Yoshiaki Kiuchi
- Department of Ophthalmology and Visual Sciences, Hiroshima University, Hiroshima, Japan
| | | | | | - Takako Sugimoto
- Department of Ophthalmology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Hideki Chuman
- Department of Ophthalmology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Makoto Aihara
- Department of Ophthalmology, University of Tokyo, Tokyo, Japan
| | - Masaru Inatani
- Department of Ophthalmology, Faculty of Medical Science, University of Fukui, Fukui, Japan
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Norimoto Gotoh
- Center for Genomic Medicine, INSERM U852, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, INSERM U852, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Nagahisa Yoshimura
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Tazuke Kofukai Foundation, Medical Research Institute, Kitano Hospital, Osaka, Japan
| | - Yoko Ikeda
- Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Morio Ueno
- Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Chie Sotozono
- Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Jin Wook Jeoung
- Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Min Sagong
- Department of Ophthalmology, Yeungnam University College of Medicine, Daegu, Republic of Korea
| | - Kyu Hyung Park
- Department of Ophthalmology, Seoul National University Bundang Hospital, Gyeonggi, Republic of Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Marisa Cruz-Aguilar
- Genetics Department, Institute of Ophthalmology 'Conde de Valenciana', Mexico City, Mexico
| | - Sidi M Ezzouhairi
- Clinique Spécialisée en Ophtalmologie Mohammedia, Mohammedia, Morocco
| | | | | | - Xiao Yu Ng
- Singapore Eye Research Institute, Singapore
| | | | | | | | - Muhammad Imran Khan
- Department of Human Genetics, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Olusola O Olawoye
- Department of Ophthalmology, College of Medicine, University of Ibadan, Ibadan, Nigeria.,Department of Ophthalmology, University College Hospital, Ibadan, Nigeria
| | - Adeyinka O Ashaye
- Department of Ophthalmology, College of Medicine, University of Ibadan, Ibadan, Nigeria.,Department of Ophthalmology, University College Hospital, Ibadan, Nigeria
| | | | - Adeola Onakoya
- Department of Ophthalmology, University of Lagos, Lagos, Nigeria.,Guinness Eye Centre, Lagos University Teaching Hospital, Lagos, Nigeria
| | - Nkiru Kizor-Akaraiwe
- Department of Ophthalmology, ESUT Teaching Hospital Parklane, Enugu, Nigeria.,Eye Specialists Hospital, Enugu, Nigeria
| | - Chaiwat Teekhasaenee
- Department of Ophthalmology, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Yanin Suwan
- Department of Ophthalmology, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Wasu Supakontanasan
- Department of Ophthalmology, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Suhanya Okeke
- Department of Ophthalmology, ESUT Teaching Hospital Parklane, Enugu, Nigeria.,Eye Specialists Hospital, Enugu, Nigeria
| | - Nkechi J Uche
- Eye Specialists Hospital, Enugu, Nigeria.,Department of Ophthalmology, University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu, Nigeria.,Department of Ophthalmology, College of Medicine, University of Nigeria, Nsukka, Ituku Ozalla Campus, Enugu, Nigeria
| | - Ifeoma Asimadu
- Department of Ophthalmology, ESUT Teaching Hospital Parklane, Enugu, Nigeria
| | - Humaira Ayub
- Department of Environmental Sciences, COMSATS Institute of Information Technology, Abbottabad, Pakistan
| | - Farah Akhtar
- Pakistan Institute of Ophthalmology, Al-Shifa Trust Eye Hospital, Rawalpindi, Pakistan
| | - Ewa Kosior-Jarecka
- Department of Diagnostics and Microsurgery of Glaucoma, Medical University, Lublin, Poland
| | - Urszula Lukasik
- Department of Diagnostics and Microsurgery of Glaucoma, Medical University, Lublin, Poland
| | | | - Vania Castro
- Universidad Peruana Cayetano Heredia, Hospital Nacional Arzobispo Loayza, Lima, Peru
| | | | - Gordana Sunaric Megevand
- Clinical Research Centre Adolphe de Rothschild, Société Médicale de Beaulieu, Geneva, Switzerland
| | - Sylvain Roy
- Clinical Research Centre Adolphe de Rothschild, Société Médicale de Beaulieu, Geneva, Switzerland
| | - Edward Dervan
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Eoin Silke
- Mater Misericordiae University Hospital, Dublin, Ireland
| | - Aparna Rao
- Shri Mithu Tulsi, LV Prasad Eye Institute, Bhubaneswar, India
| | - Priti Sahay
- Shri Mithu Tulsi, LV Prasad Eye Institute, Bhubaneswar, India
| | | | | | - Delia Sivori
- Fundación para el Estudio del Glaucoma, Buenos Aires, Argentina
| | - Tamara Zompa
- Centro Oftalmologico Charles, Buenos Aires, Argentina
| | - Richard A Mills
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia
| | - Emmanuelle Souzeau
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia
| | - Paul Mitchell
- Centre for Vision Research, Department of Ophthalmology and Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Jie Jin Wang
- Centre for Vision Research, Department of Ophthalmology and Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Alex W Hewitt
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia
| | - Michael Coote
- Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia
| | - Jonathan G Crowston
- Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia
| | - Sergei Y Astakhov
- Department of Ophthalmology, Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia
| | - Eugeny L Akopov
- Department of Ophthalmology, Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia
| | - Anton Emelyanov
- Department of Ophthalmology, Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia.,St. Petersburg Academic University, St. Petersburg, Russia
| | | | | | | | - Saleh A Al-Obeidan
- Department of Ophthalmology, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Ohoud Owaidhah
- King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia
| | | | - Balram Chowbay
- Clinical Pharmacology, SingHealth, Singapore.,Clinical Pharmacology Laboratory, National Cancer Centre, Singapore.,Office of Clinical Sciences, Duke-NUS Medical School, Singapore
| | - Jia Nee Foo
- Genome Institute of Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | | | | | | | | | - Shi Qi Mok
- Genome Institute of Singapore, Singapore
| | | | | | - Su Qin Peh
- Genome Institute of Singapore, Singapore
| | | | | | - Su-Ling Ho
- Department of Ophthalmology, Tan Tock Seng Hospital, Singapore
| | | | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore.,Singapore National Eye Center, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Academic Clinical Program for Ophthalmology and Visual Sciences, Office of Clinical and Academic Faculty Affairs, Duke-NUS Graduate Medical School, Singapore
| | | | - Rogelio González-Sarmiento
- Institute for Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Molecular Medicine Unit, Department of Medicine, University of Salamanca, Salamanca, Spain
| | - Frederico Martinon-Torres
- Translational Pediatrics and Infectious Diseases, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.,GENVIP Research Group, Instituto de Investigación Sanitaria de Santiago, Santiago de Compostela, Spain
| | - Antonio Salas
- Unidade de Xenética, Departamento de Anatomía Patolóxica e Ciencias Forenses, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.,Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Kessara Pathanapitoon
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Linda Hansapinyo
- Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | | | - Naris Kitnarong
- Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Anavaj Sakuntabhai
- Institut Pasteur, Functional Genetics of Infectious Diseases Unit, Department of Genomes and Genetics, Paris, France.,Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Paris, France
| | - Hip X Nguyn
- Vietnam National Institute of Ophthalmology, Hanoi, Vietnam
| | | | - Trình V Nguyn
- Vietnam National Institute of Ophthalmology, Hanoi, Vietnam
| | - Werner Zenz
- Department of General Pediatrics, Medical University of Graz, Graz, Austria
| | - Alexander Binder
- Department of General Pediatrics, Medical University of Graz, Graz, Austria
| | - Daniela S Klobassa
- Department of General Pediatrics, Medical University of Graz, Graz, Austria
| | - Martin L Hibberd
- Genome Institute of Singapore, Singapore.,Faculty of Infectious and Tropical Disease, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Stefan Herms
- Department of Genomics, Life &Brain Center, University of Bonn, Bonn, Germany.,Department of Biomedicine, University of Basel, Basel, Switzerland.,Division of Medical Genetics, University Hospital Basel, Basel, Switzerland
| | - Markus M Nöthen
- Department of Genomics, Life &Brain Center, University of Bonn, Bonn, Germany.,Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Susanne Moebus
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, University Duisburg-Essen, Essen, Germany
| | - Robyn M Rautenbach
- Division of Ophthalmology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Ari Ziskind
- Division of Ophthalmology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Trevor R Carmichael
- Division of Ophthalmology, University of the Witwatersrand, Johannesburg, South Africa
| | - Michele Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lydia Álvarez
- Fernández-Vega University Institute and Foundation of Ophthalmological Research, University of Oviedo, Oviedo, Spain.,Fernández-Vega Ophthalmological Institute, Oviedo, Spain
| | - Montserrat García
- Fernández-Vega University Institute and Foundation of Ophthalmological Research, University of Oviedo, Oviedo, Spain.,Fernández-Vega Ophthalmological Institute, Oviedo, Spain
| | - Héctor González-Iglesias
- Fernández-Vega University Institute and Foundation of Ophthalmological Research, University of Oviedo, Oviedo, Spain.,Fernández-Vega Ophthalmological Institute, Oviedo, Spain
| | - Pedro P Rodríguez-Calvo
- Fernández-Vega University Institute and Foundation of Ophthalmological Research, University of Oviedo, Oviedo, Spain.,Fernández-Vega Ophthalmological Institute, Oviedo, Spain
| | - Luis Fernández-Vega Cueto
- Fernández-Vega University Institute and Foundation of Ophthalmological Research, University of Oviedo, Oviedo, Spain.,Fernández-Vega Ophthalmological Institute, Oviedo, Spain
| | - Çilingir Oguz
- Department of Genetics, Eskisehir Osmangazi University, Meselik, Eskisehir, Turkey
| | - Nevbahar Tamcelik
- Istanbul University Cerrahpasa Faculty of Medicine, Istanbul, Turkey
| | - Eray Atalay
- Singapore Eye Research Institute, Singapore.,Istanbul University Cerrahpasa Faculty of Medicine, Istanbul, Turkey
| | - Bilge Batu
- Istanbul University Cerrahpasa Faculty of Medicine, Istanbul, Turkey
| | - Dilek Aktas
- DAMAGEN Genetic Diagnostic Center, Ankara, Turkey
| | - Burcu Kasım
- Department of Ophthalmology, Hacettepe University, Faculty of Medicine, Ankara, Turkey
| | - M Roy Wilson
- School of Medicine, Wayne State University, Detroit, Michigan, USA
| | - Anne L Coleman
- Center for Community Outreach and Policy, Stein Eye Institute, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Yutao Liu
- Department of Cellular Biology and Anatomy, Center for Biotechnology and Genomic Medicine, James and Jean Culver Discovery Institute, Augusta University, Augusta, Georgia, USA
| | - Pratap Challa
- Department of Ophthalmology, Duke University Eye Center, Durham, North Carolina, USA
| | - Leon Herndon
- Department of Ophthalmology, Duke University Eye Center, Durham, North Carolina, USA
| | - Rachel W Kuchtey
- Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - John Kuchtey
- Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Karen Curtin
- John A. Moran Eye Center, Department of Ophthalmology, University of Utah, Salt Lake City, Utah, USA
| | - Craig J Chaya
- John A. Moran Eye Center, Department of Ophthalmology, University of Utah, Salt Lake City, Utah, USA
| | - Alan Crandall
- John A. Moran Eye Center, Department of Ophthalmology, University of Utah, Salt Lake City, Utah, USA
| | - Linda M Zangwill
- Hamilton Glaucoma Center, Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, San Diego, California, USA
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore.,Singapore National Eye Center, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Masakazu Nakano
- Department of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Shigeru Kinoshita
- Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan.,Department of Frontier Medical Science and Technology for Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Anneke I den Hollander
- Department of Human Genetics, Radboud University Medical Centre, Nijmegen, the Netherlands.,Department of Ophthalmology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Eija Vesti
- Department of Ophthalmology, University of Turku and Turku University Hospital, Turku, Finland
| | - John H Fingert
- Institute for Vision Research, University of Iowa, Iowa City, Iowa, USA.,Department of Ophthalmology and Visual Sciences, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA
| | - Richard K Lee
- Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Arthur J Sit
- Department of Ophthalmology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Ningli Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology and Visual Science Key Laboratory, Beijing, China.,Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Daniele Cusi
- Institute of Biomedical Technologies, Italian National Research Centre (ITB-CNR), Segrate-Milano, Italy
| | - Raheel Qamar
- Department of Biosciences, COMSATS Institute of Information Technology, Islamabad, Pakistan.,Department of Biochemistry, Al-Nafees Medical College and Hospital, Isra University, Islamabad, Pakistan
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Margaret A Pericak-Vance
- John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Soumya Raychaudhuri
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Partners Center for Personalized Genetic Medicine, Boston, Massachusetts, USA.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.,Institute of Inflammation and Repair, University of Manchester, Manchester, UK.,Rheumatology Unit, Department of Medicine, Karolinska Institutet and Karolinska University Hospital Solna, Stockholm, Sweden
| | - Steffen Heegaard
- Department of Ophthalmology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.,Department of Pathology, Rigshospitalet, Eye Pathology Section, University of Copenhagen, Copenhagen, Denmark
| | - Tero Kivelä
- Department of Ophthalmology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - André Reis
- David Tvildiani Medical University, Tbilisi, Georgia
| | - Friedrich E Kruse
- Department of Ophthalmology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Robert N Weinreb
- Hamilton Glaucoma Center, Department of Ophthalmology and Shiley Eye Institute, University of California, San Diego, San Diego, California, USA
| | - Louis R Pasquale
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
| | - Jonathan L Haines
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.,Institute of Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA
| | - Unnur Thorsteinsdottir
- deCODE Genetics, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Fridbert Jonasson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland.,Department of Ophthalmology, Landspitali University Hospital, Reykjavik, Iceland
| | - R Rand Allingham
- Singapore Eye Research Institute, Singapore.,Department of Ophthalmology, Duke University Eye Center, Durham, North Carolina, USA
| | - Dan Milea
- Singapore Eye Research Institute, Singapore.,Singapore National Eye Center, Singapore.,Academic Clinical Program for Ophthalmology and Visual Sciences, Office of Clinical and Academic Faculty Affairs, Duke-NUS Graduate Medical School, Singapore
| | - Robert Ritch
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York, USA
| | - Toshiaki Kubota
- Department of Ophthalmology, Oita University Faculty of Medicine, Oita, Japan
| | - Kei Tashiro
- Department of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Eranga N Vithana
- Singapore Eye Research Institute, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Shazia Micheal
- Department of Ophthalmology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Fotis Topouzis
- Department of Ophthalmology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Adelaide, South Australia, Australia
| | - Michael Dubina
- Department of Ophthalmology, Pavlov First Saint Petersburg State Medical University, St. Petersburg, Russia.,St. Petersburg Academic University, St. Petersburg, Russia
| | - Periasamy Sundaresan
- Dr. G.Venkataswamy Eye Research Institute, Aravind Medical Research Foundation, Aravind Eye Hospital, Madurai, India
| | - Kari Stefansson
- deCODE Genetics, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Janey L Wiggs
- Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
| | - Francesca Pasutto
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Chiea Chuen Khor
- Singapore Eye Research Institute, Singapore.,Genome Institute of Singapore, Singapore.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| |
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18
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Grunin M, Hagbi-Levi S, Rinsky B, Smith Y, Chowers I. Transcriptome Analysis on Monocytes from Patients with Neovascular Age-Related Macular Degeneration. Sci Rep 2016; 6:29046. [PMID: 27374485 PMCID: PMC4931446 DOI: 10.1038/srep29046] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Accepted: 06/10/2016] [Indexed: 01/09/2023] Open
Abstract
Mononuclear phagocytes (MPs), including monocytes/macrophages, play complex roles in age-related macular degeneration (AMD) pathogenesis. We reported altered gene-expression signature in peripheral blood mononuclear cells from AMD patients, and a chemokine receptor signature on AMD monocytes. To obtain comprehensive understanding of MP involvement, particularly in peripheral circulation in AMD, we performed global gene expression analysis in monocytes. We separated monocytes from treatment-naïve neovascular AMD (nvAMD) patients (n = 14) and age-matched controls (n = 15), and performed microarray and bioinformatics analysis. Quantitative real-time PCR was performed on other sets of nvAMD (n = 25), atrophic AMD (n = 21), and controls (n = 28) for validation. This validated microarray genes (like TMEM176A/B and FOSB) tested, including differences between nvAMD and atrophic AMD. We identified 2,165 differentially-expressed genes (P < 0.05), including 79 genes with log2 fold change ≥1.5 between nvAMD and controls. Functional annotation using DAVID and TANGO demonstrated immune response alterations in AMD monocytes (FDR-P <0.05), validated by randomized data comparison (P < 0.0001). GSEA, ISMARA, and MEME analysis found immune enrichment and specific involved microRNAs. Enrichment of differentially-expressed genes in monocytes was found in retina via SAGE data-mining. These genes were enriched in non-classical vs. classical monocyte subsets (P < 0.05). Therefore, global gene expression analysis in AMD monocytes reveals an altered immune-related signature, further implicating systemic MP activation in AMD.
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Affiliation(s)
- Michelle Grunin
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Shira- Hagbi-Levi
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Batya Rinsky
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Yoav Smith
- Genomic Data Analysis Unit, Hebrew University, Jerusalem, Israel
| | - Itay Chowers
- Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
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19
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Song MJ, Bharti K. Looking into the future: Using induced pluripotent stem cells to build two and three dimensional ocular tissue for cell therapy and disease modeling. Brain Res 2016; 1638:2-14. [PMID: 26706569 PMCID: PMC4837038 DOI: 10.1016/j.brainres.2015.12.011] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Revised: 11/24/2015] [Accepted: 12/08/2015] [Indexed: 01/02/2023]
Abstract
Retinal degenerative diseases are the leading cause of irreversible vision loss in developed countries. In many cases the diseases originate in the homeostatic unit in the back of the eye that contains the retina, retinal pigment epithelium (RPE) and the choriocapillaris. RPE is a central and a critical component of this homeostatic unit, maintaining photoreceptor function and survival on the apical side and choriocapillaris health on the basal side. In diseases like age-related macular degeneration (AMD), it is thought that RPE dysfunctions cause disease-initiating events and as the RPE degenerates photoreceptors begin to die and patients start loosing vision. Patient-specific induced pluripotent stem (iPS) cell-derived RPE provides direct access to a patient's genetics and allow the possibility of identifying the initiating events of RPE-associated degenerative diseases. Furthermore, iPS cell-derived RPE cells are being tested as a potential cell replacement in disease stages with RPE atrophy. In this article we summarize the recent progress in the field of iPS cell-derived RPE "disease modeling" and cell therapies and also discuss the possibilities of developing a model of the entire homeostatic unit to aid in studying disease processes in the future. This article is part of a Special Issue entitled SI: PSC and the brain.
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Affiliation(s)
- Min Jae Song
- Unit on Ocular and Stem Cell Translational Research National Eye Institute, 10 Center Drive, Room 10B10, Bethesda, MD 20892, United States
| | - Kapil Bharti
- Unit on Ocular and Stem Cell Translational Research National Eye Institute, 10 Center Drive, Room 10B10, Bethesda, MD 20892, United States.
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20
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Fan Q, Verhoeven VJM, Wojciechowski R, Barathi VA, Hysi PG, Guggenheim JA, Höhn R, Vitart V, Khawaja AP, Yamashiro K, Hosseini SM, Lehtimäki T, Lu Y, Haller T, Xie J, Delcourt C, Pirastu M, Wedenoja J, Gharahkhani P, Venturini C, Miyake M, Hewitt AW, Guo X, Mazur J, Huffman JE, Williams KM, Polasek O, Campbell H, Rudan I, Vatavuk Z, Wilson JF, Joshi PK, McMahon G, St Pourcain B, Evans DM, Simpson CL, Schwantes-An TH, Igo RP, Mirshahi A, Cougnard-Gregoire A, Bellenguez C, Blettner M, Raitakari O, Kähönen M, Seppala I, Zeller T, Meitinger T, Ried JS, Gieger C, Portas L, van Leeuwen EM, Amin N, Uitterlinden AG, Rivadeneira F, Hofman A, Vingerling JR, Wang YX, Wang X, Tai-Hui Boh E, Ikram MK, Sabanayagam C, Gupta P, Tan V, Zhou L, Ho CEH, Lim W, Beuerman RW, Siantar R, Tai ES, Vithana E, Mihailov E, Khor CC, Hayward C, Luben RN, Foster PJ, Klein BEK, Klein R, Wong HS, Mitchell P, Metspalu A, Aung T, Young TL, He M, Pärssinen O, van Duijn CM, Jin Wang J, Williams C, Jonas JB, Teo YY, Mackey DA, Oexle K, Yoshimura N, Paterson AD, Pfeiffer N, Wong TY, Baird PN, Stambolian D, Wilson JEB, Cheng CY, Hammond CJ, Klaver CCW, Saw SM, Rahi JS, Korobelnik JF, Kemp JP, Timpson NJ, Smith GD, Craig JE, Burdon KP, Fogarty RD, Iyengar SK, Chew E, Janmahasatian S, Martin NG, MacGregor S, Xu L, Schache M, Nangia V, Panda-Jonas S, Wright AF, Fondran JR, Lass JH, Feng S, Zhao JH, Khaw KT, Wareham NJ, Rantanen T, Kaprio J, Pang CP, Chen LJ, Tam PO, Jhanji V, Young AL, Döring A, Raffel LJ, Cotch MF, Li X, Yip SP, Yap MK, Biino G, Vaccargiu S, Fossarello M, Fleck B, Yazar S, Tideman JWL, Tedja M, Deangelis MM, Morrison M, Farrer L, Zhou X, Chen W, Mizuki N, Meguro A, Mäkelä KM. Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error. Nat Commun 2016; 7:11008. [PMID: 27020472 PMCID: PMC4820539 DOI: 10.1038/ncomms11008] [Citation(s) in RCA: 88] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Accepted: 02/10/2016] [Indexed: 02/07/2023] Open
Abstract
Myopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (SNP) main effects and SNP × education interaction effects on refractive error in 40,036 adults from 25 studies of European ancestry and 10,315 adults from 9 studies of Asian ancestry. In European ancestry individuals, we identify six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error. In Asian populations, three genome-wide significant loci AREG, GABRR1 and PDE10A also exhibit strong interactions with education (P<8.5 × 10(-5)), whereas the interactions are less evident in Europeans. The discovery of these loci represents an important advance in understanding how gene and environment interactions contribute to the heterogeneity of myopia.
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Affiliation(s)
- Qiao Fan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Virginie J. M. Verhoeven
- Department of Ophthalmology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Robert Wojciechowski
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland 21224, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 20205, USA
| | - Veluchamy A. Barathi
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Pirro G. Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London SE1 7EH, UK
| | - Jeremy A. Guggenheim
- School of Optometry and Vision Sciences, Cardiff University, Cardiff CF24 4HQ, UK
| | - René Höhn
- Department of Ophthalmology, University Medical Center Mainz, 55131 Mainz, Germany
- Department of Ophthalmology, Inselspital, University Hospital Bern, CH-3010 Bern, Switzerland
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, Scotland
| | - Anthony P. Khawaja
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SR, UK
| | - Kenji Yamashiro
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - S Mohsen Hosseini
- Program in Genetics and Genome Biology, The Hospital for Sick Children and Institute for Medical Sciences, University of Toronto, Toronto Ontario, Canada M5G 1X8
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere 33520, Finland
| | - Yi Lu
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland 4029, Australia
| | - Toomas Haller
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Jing Xie
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
| | - Cécile Delcourt
- Université de Bordeaux, ISPED (Institut de Santé Publique d'Épidémiologie et de Développement), Bordeaux 33000, France
- INSERM, U1219-Bordeaux Population Health Research Center, Bordeaux 33000, France
| | - Mario Pirastu
- Institute of Population Genetics, National Research Council, Sassari 07100, Italy
| | - Juho Wedenoja
- Department of Public Health, University of Helsinki, Helsinki 00014, Finland
- Department of Ophthalmology, University of Helsinki and Helsinki University Hospital, Helsinki 00014, Finland
| | - Puya Gharahkhani
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland 4029, Australia
| | - Cristina Venturini
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London SE1 7EH, UK
- UCL Institute of Ophthalmology, London SE1 7EH, UK
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Alex W. Hewitt
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania 7000, Australia
| | - Xiaobo Guo
- Department of Statistical Science, School of Mathematics and Computational Science, Sun Yat-Sen University, Guangzhou 510275, China
| | - Johanna Mazur
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, 55131 Mainz, Germany
| | - Jenifer E. Huffman
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, Scotland
| | - Katie M. Williams
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London SE1 7EH, UK
- Department of Ophthalmology, King's College London, London SE1 7EH, UK
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Split 21000, Croatia
| | - Harry Campbell
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - Igor Rudan
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - Zoran Vatavuk
- Department of Ophthalmology, Sisters of Mercy University Hospital, Zagreb 10000, Croatia
| | - James F. Wilson
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - Peter K. Joshi
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, Scotland
| | - George McMahon
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- Max Planck Institute for Psycholinguistics, Wundtlaan 1, 6525 XD Nijmegen, The Netherlands
| | - David M. Evans
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol BS8 2BN, UK
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland 4102, Australia
| | - Claire L. Simpson
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland 21224, USA
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee 38163, USA
| | - Tae-Hwi Schwantes-An
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Robert P. Igo
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - Alireza Mirshahi
- Department of Ophthalmology, University Medical Center Mainz, 55131 Mainz, Germany
- Dardenne Eye Hospital, Bonn-Bad Godesberg, 53177 Bonn, Germany
| | - Audrey Cougnard-Gregoire
- Université de Bordeaux, ISPED (Institut de Santé Publique d'Épidémiologie et de Développement), Bordeaux 33000, France
- INSERM, U1219-Bordeaux Population Health Research Center, Bordeaux 33000, France
| | - Céline Bellenguez
- Inserm, U1167, Lille 59000, France
- Univ. Lille, U1167, Lille 59000, France
- Université Lille 2, Lille 59000, France
| | - Maria Blettner
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, 55131 Mainz, Germany
| | - Olli Raitakari
- Research Centre of Applied and Preventive Medicine, University of Turku, Turku 20520, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20520, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and School of Medicine, University of Tampere, Tampere 33520, Finland
| | - Ilkka Seppala
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere 33520, Finland
| | - Tanja Zeller
- Clinic for General and Interventional Cardiology, University Heart Center Hamburg, 20246 Hamburg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | | | - Janina S. Ried
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Laura Portas
- Institute of Population Genetics, National Research Council, Sassari 07100, Italy
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2518 AD Hague, The Netherlands
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2518 AD Hague, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2518 AD Hague, The Netherlands
| | | | - Ya Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100044, China
| | - Xu Wang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
| | - Eileen Tai-Hui Boh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
| | - M. Kamran Ikram
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
| | - Preeti Gupta
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
| | - Vincent Tan
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
| | - Lei Zhou
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
| | - Candice E. H. Ho
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
| | - Wan'e Lim
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Roger W. Beuerman
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Rosalynn Siantar
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - E-Shyong Tai
- Duke-NUS Medical School, Singapore 169857, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
- Department of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Eranga Vithana
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Chiea-Chuen Khor
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, Scotland
| | - Robert N. Luben
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SR, UK
| | - Paul J. Foster
- Division of Genetics and Epidemiology, UCL Institute of Ophthalmology, London EC1V 9EL, UK
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London EC1V 2PD, UK
| | - Barbara E. K. Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726, USA
| | - Ronald Klein
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin 53726, USA
| | - Hoi-Suen Wong
- Program in Genetics and Genome Biology, The Hospital for Sick Children and Institute for Medical Sciences, University of Toronto, Toronto Ontario, Canada M5G 1X8
| | - Paul Mitchell
- Department of Ophthalmology, Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales 2145, Australia
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Terri L. Young
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin 53705, USA
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou 510060, China
| | - Olavi Pärssinen
- Department of Ophthalmology, Central Hospital of Central Finland, Jyväskylä 40620, Finland
- Gerontology Research Center and Department of Health Sciences, University of Jyväskylä, Jyväskylä 40014, Finland
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Jie Jin Wang
- Department of Ophthalmology, Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales 2145, Australia
| | - Cathy Williams
- School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Jost B. Jonas
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100044, China
- Medical Faculty Mannheim, Department of Ophthalmology, Ruprecht-Karls-University Heidelberg, 69115 Mannheim, Germany
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
- Division of Human Genetics, Genome Institute of Singapore, Singapore 138672, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546, Singapore
| | - David A. Mackey
- Menzies Research Institute Tasmania, University of Tasmania, Hobart, Tasmania 7000, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia 6009, Australia
| | - Konrad Oexle
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, 81675 Munich, Germany
| | - Nagahisa Yoshimura
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto 6068507, Japan
| | - Andrew D. Paterson
- Program in Genetics and Genome Biology, The Hospital for Sick Children and Institute for Medical Sciences, University of Toronto, Toronto Ontario, Canada M5G 1X8
| | - Norbert Pfeiffer
- Department of Ophthalmology, University Medical Center Mainz, 55131 Mainz, Germany
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
| | - Paul N. Baird
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
| | - Dwight Stambolian
- Department of Ophthalmology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Joan E. Bailey Wilson
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland 21224, USA
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
| | - Christopher J. Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London SE1 7EH, UK
- Department of Ophthalmology, King's College London, London SE1 7EH, UK
| | - Caroline C. W. Klaver
- Department of Ophthalmology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Seang-Mei Saw
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore 169856, Singapore
- Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Ophthalmology, National University Health Systems, National University of Singapore Singapore 119228, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health Systems, Singapore 117549, Singapore
| | - Jugnoo S. Rahi
- Medical Research Council Centre of Epidemiology for Child Health, Institute of Child Health, University College London, London WC1E 6BT, UK
- Institute of Ophthalmology, Moorfields Eye Hospital, London EC1V 2PD, UK
- Ulverscroft Vision Research Group, University College London, London WC1E 6BT, UK
| | - Jean-François Korobelnik
- Université de Bordeaux, 33400 Talence, France
- INSERM (Institut National de la Santé Et de la Recherche Médicale), ISPED (Institut de Santé Publique d'épidémiologie et de Développement), Centre INSERM U897-Epidemiologie-Biostatistique, 33076 Bordeaux, France
| | - John P. Kemp
- MRC Integrative Epidemiology Unit (IEU), The University of Bristol, Bristol BS8 2BN, UK
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit (IEU), The University of Bristol, Bristol BS8 2BN, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), The University of Bristol, Bristol BS8 2BN, UK
| | - Jamie E. Craig
- Department of Ophthalmology, Flinders University, Adelaide, South Australia 5001, Australia
| | - Kathryn P. Burdon
- Department of Ophthalmology, Flinders University, Adelaide, South Australia 5001, Australia
| | - Rhys D. Fogarty
- Department of Ophthalmology, Flinders University, Adelaide, South Australia 5001, Australia
| | - Sudha K. Iyengar
- Department of Epidemiology and Biostatistics, CaseWestern Reserve University, Cleveland, Ohio 44106, USA
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University and University Hospitals Eye Institute, Cleveland, Ohio 44106, USA
- Department of Genetics, Case Western Reserve University, Cleveland, Ohio 44106, USA
| | - Emily Chew
- National Eye Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Sarayut Janmahasatian
- Department of Epidemiology and Biostatistics, CaseWestern Reserve University, Cleveland, Ohio 44106, USA
| | - Nicholas G. Martin
- Genetic Epidemiology Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland 4029, Australia
| | - Stuart MacGregor
- Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland 4029, Australia
| | - Liang Xu
- Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing 100044, China
| | - Maria Schache
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
| | - Vinay Nangia
- Suraj Eye Institute, Nagpur, Maharashtra 440001, India
| | | | - Alan F. Wright
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, Scotland
| | - Jeremy R. Fondran
- Department of Epidemiology and Biostatistics, CaseWestern Reserve University, Cleveland, Ohio 44106, USA
| | - Jonathan H. Lass
- Department of Epidemiology and Biostatistics, CaseWestern Reserve University, Cleveland, Ohio 44106, USA
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University and University Hospitals Eye Institute, Cleveland, Ohio 44106, USA
| | - Sheng Feng
- Department of Pediatric Ophthalmology, Duke Eye Center For Human Genetics, Durham, North Carolina 27710, USA
| | - Jing Hua Zhao
- MRC Epidemiology Unit, Institute of Metabolic Sciences, University of Cambridge, Cambridge CB2 1TN, UK
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge CB2 0SR, UK
| | - Nick J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Taina Rantanen
- Gerontology Research Center, University of Jyväskylä, Jyväskylä Finland
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki 00014, Finland
- Institute for Molecular Medicine, University of Helsinki, Helsinki 00014, Finland
- Department of Mental Health and Alcohol Abuse Services, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Chi Pui Pang
- Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, The Chinese University of Hong Kong, Kowloon, Hong Kong
| | - Li Jia Chen
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Pancy O. Tam
- Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, The Chinese University of Hong Kong, Kowloon, Hong Kong
| | - Vishal Jhanji
- Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, The Chinese University of Hong Kong, Kowloon, Hong Kong
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Alvin L. Young
- Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, The Chinese University of Hong Kong, Kowloon, Hong Kong
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Angela Döring
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Leslie J. Raffel
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California 90048, USA
| | - Mary-Frances Cotch
- Division of Epidemiology and Clinical Applications, National Eye Institute, Bethesda, Maryland 20892, USA
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, California 90502, USA
| | - Shea Ping Yip
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong
| | - Maurice K.H. Yap
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong
| | - Ginevra Biino
- Institute of Molecular Genetics, National Research Council, Pavia 27100, Italy
| | - Simona Vaccargiu
- Institute of Population Genetics, National Research Council, Sassari 07100, Italy
| | - Maurizio Fossarello
- Institute of Population Genetics, National Research Council, Sassari 07100, Italy
| | - Brian Fleck
- Princess Alexandra Eye Pavilion, Edinburgh EH3 9HA, UK
| | - Seyhan Yazar
- Centre for Eye Research Australia (CERA), Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria 3002, Australia
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia 6009, Australia
| | - Jan Willem L. Tideman
- Department of Ophthalmology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Milly Tedja
- Department of Ophthalmology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Margaret M. Deangelis
- Department of Ophthalmology and Visual Sciences, Moran Eye Center, University of Utah, Salt Lake City, Utah 84132, USA
| | - Margaux Morrison
- Department of Ophthalmology and Visual Sciences, John Moran Eye Center, University of Utah, Salt Lake City, Utah 84132, USA
| | - Lindsay Farrer
- Departments of Medicine (Biomedical Genetics), Ophthalmology, Neurology, Epidemiology and Biostatistics, Boston University Schools of Medicine and Public Health, Boston, Massachusetts 02118, USA
| | - Xiangtian Zhou
- School of ophthalmology and optometry, Wenzhou Medical University, Wenzhou 325035, China
| | - Wei Chen
- School of ophthalmology and optometry, Wenzhou Medical University, Wenzhou 325035, China
| | - Nobuhisa Mizuki
- Department of Ophthalmology, Yokohama City University School of Medicine, Yokohama, Kanagawa 236-0027, Japan
| | - Akira Meguro
- Department of Ophthalmology, Yokohama City University School of Medicine, Yokohama, Kanagawa 236-0027, Japan
| | - Kari Matti Mäkelä
- Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere 33014, Finland
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21
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Yang HJ, Ratnapriya R, Cogliati T, Kim JW, Swaroop A. Vision from next generation sequencing: multi-dimensional genome-wide analysis for producing gene regulatory networks underlying retinal development, aging and disease. Prog Retin Eye Res 2015; 46:1-30. [PMID: 25668385 PMCID: PMC4402139 DOI: 10.1016/j.preteyeres.2015.01.005] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Revised: 01/18/2015] [Accepted: 01/21/2015] [Indexed: 01/10/2023]
Abstract
Genomics and genetics have invaded all aspects of biology and medicine, opening uncharted territory for scientific exploration. The definition of "gene" itself has become ambiguous, and the central dogma is continuously being revised and expanded. Computational biology and computational medicine are no longer intellectual domains of the chosen few. Next generation sequencing (NGS) technology, together with novel methods of pattern recognition and network analyses, has revolutionized the way we think about fundamental biological mechanisms and cellular pathways. In this review, we discuss NGS-based genome-wide approaches that can provide deeper insights into retinal development, aging and disease pathogenesis. We first focus on gene regulatory networks (GRNs) that govern the differentiation of retinal photoreceptors and modulate adaptive response during aging. Then, we discuss NGS technology in the context of retinal disease and develop a vision for therapies based on network biology. We should emphasize that basic strategies for network construction and analyses can be transported to any tissue or cell type. We believe that specific and uniform guidelines are required for generation of genome, transcriptome and epigenome data to facilitate comparative analysis and integration of multi-dimensional data sets, and for constructing networks underlying complex biological processes. As cellular homeostasis and organismal survival are dependent on gene-gene and gene-environment interactions, we believe that network-based biology will provide the foundation for deciphering disease mechanisms and discovering novel drug targets for retinal neurodegenerative diseases.
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Affiliation(s)
- Hyun-Jin Yang
- Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA
| | - Rinki Ratnapriya
- Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA
| | - Tiziana Cogliati
- Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA
| | - Jung-Woong Kim
- Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA
| | - Anand Swaroop
- Neurobiology-Neurodegeneration and Repair Laboratory, National Eye Institute, National Institutes of Health, 6 Center Drive, Bethesda, MD 20892-0610, USA.
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22
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Tian L, Kazmierkiewicz KL, Bowman AS, Li M, Curcio CA, Stambolian DE. Transcriptome of the human retina, retinal pigmented epithelium and choroid. Genomics 2015; 105:253-64. [PMID: 25645700 DOI: 10.1016/j.ygeno.2015.01.008] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 01/23/2015] [Accepted: 01/24/2015] [Indexed: 10/24/2022]
Abstract
The retina and its adjacent supporting tissues - retinal pigmented epithelium (RPE) and choroid - are critical structures in human eyes required for normal visual perception. Abnormal changes in these layers have been implicated in diseases such as age-related macular degeneration and glaucoma. With the advent of high-throughput methods, such as serial analysis of gene expression, cDNA microarray, and RNA sequencing, there is unprecedented opportunity to facilitate our understanding of the normal retina, RPE, and choroid. This information can be used to identify dysfunction in age-related macular degeneration and glaucoma. In this review, we describe the current status in our understanding of these transcriptomes through the use of high-throughput techniques.
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Affiliation(s)
- Lifeng Tian
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pa 19104, USA.
| | | | - Anita S Bowman
- Department of Ophthalmology, University of Pennsylvania, Philadelphia, Pa 19104, USA.
| | - Mingyao Li
- Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pa 19104, USA.
| | - Christine A Curcio
- Department of Ophthalmology, University of Alabama School of Medicine, Birmingham, Al 35294, USA.
| | - Dwight E Stambolian
- Department of Ophthalmology, University of Pennsylvania, Philadelphia, Pa 19104, USA.
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23
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Springelkamp H, Iglesias AI, Cuellar-Partida G, Amin N, Burdon KP, van Leeuwen EM, Gharahkhani P, Mishra A, van der Lee SJ, Hewitt AW, Rivadeneira F, Viswanathan AC, Wolfs RCW, Martin NG, Ramdas WD, van Koolwijk LM, Pennell CE, Vingerling JR, Mountain JE, Uitterlinden AG, Hofman A, Mitchell P, Lemij HG, Wang JJ, Klaver CCW, Mackey DA, Craig JE, van Duijn CM, MacGregor S. ARHGEF12 influences the risk of glaucoma by increasing intraocular pressure. Hum Mol Genet 2015; 24:2689-99. [PMID: 25637523 DOI: 10.1093/hmg/ddv027] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Accepted: 01/21/2015] [Indexed: 12/19/2022] Open
Abstract
Primary open-angle glaucoma (POAG) is a blinding disease. Two important risk factors for this disease are a positive family history and elevated intraocular pressure (IOP), which is also highly heritable. Genes found to date associated with IOP and POAG are ABCA1, CAV1/CAV2, GAS7 and TMCO1. However, these genes explain only a small part of the heritability of IOP and POAG. We performed a genome-wide association study of IOP in the population-based Rotterdam Study I and Rotterdam Study II using single nucleotide polymorphisms (SNPs) imputed to 1000 Genomes. In this discovery cohort (n = 8105), we identified a new locus associated with IOP. The most significantly associated SNP was rs58073046 (β = 0.44, P-value = 1.87 × 10(-8), minor allele frequency = 0.12), within the gene ARHGEF12. Independent replication in five population-based studies (n = 7471) resulted in an effect size in the same direction that was significantly associated (β = 0.16, P-value = 0.04). The SNP was also significantly associated with POAG in two independent case-control studies [n = 1225 cases and n = 4117 controls; odds ratio (OR) = 1.53, P-value = 1.99 × 10(-8)], especially with high-tension glaucoma (OR = 1.66, P-value = 2.81 × 10(-9); for normal-tension glaucoma OR = 1.29, P-value = 4.23 × 10(-2)). ARHGEF12 plays an important role in the RhoA/RhoA kinase pathway, which has been implicated in IOP regulation. Furthermore, it binds to ABCA1 and links the ABCA1, CAV1/CAV2 and GAS7 pathway to Mendelian POAG genes (MYOC, OPTN, WDR36). In conclusion, this study identified a novel association between IOP and ARHGEF12.
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Affiliation(s)
| | | | | | | | - Kathryn P Burdon
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, TAS 7000, Australia
| | | | | | | | | | - Alex W Hewitt
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, TAS 7000, Australia, Centre for Eye Research Australia (CERA), University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
| | - Fernando Rivadeneira
- Department of Epidemiology and Department of Internal Medicine, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands, Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2593 CE The Hague, The Netherlands
| | - Ananth C Viswanathan
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London EC1V 2PD, UK
| | | | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, QLD 4006, Australia
| | | | | | - Craig E Pennell
- School of Women's and Infants' Health, University of Western Australia, Crawley, WA 6009, Australia
| | | | | | - André G Uitterlinden
- Department of Epidemiology and Department of Internal Medicine, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands, Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2593 CE The Hague, The Netherlands
| | - Albert Hofman
- Department of Epidemiology and Netherlands Consortium for Healthy Ageing, Netherlands Genomics Initiative, 2593 CE The Hague, The Netherlands
| | - Paul Mitchell
- Centre for Vision Research, Department of Ophthalmology and Westmead Millennium Institute, University of Sydney, Sydney, NSW 2006, Australia
| | - Hans G Lemij
- Glaucoma Service, The Rotterdam Eye Hospital, 3011 BH Rotterdam, The Netherlands
| | - Jie Jin Wang
- Centre for Vision Research, Department of Ophthalmology and Westmead Millennium Institute, University of Sydney, Sydney, NSW 2006, Australia
| | | | - David A Mackey
- School of Medicine, Menzies Research Institute Tasmania, University of Tasmania, Hobart, TAS 7000, Australia, Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, WA 6009, Australia and
| | - Jamie E Craig
- Department of Ophthalmology, Flinders University, Adelaide, SA 5042, Australia
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24
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Springelkamp H, Mishra A, Hysi PG, Gharahkhani P, Höhn R, Khor CC, Cooke Bailey JN, Luo X, Ramdas WD, Vithana E, Koh V, Yazar S, Xu L, Forward H, Kearns LS, Amin N, Iglesias AI, Sim KS, van Leeuwen EM, Demirkan A, van der Lee S, Loon SC, Rivadeneira F, Nag A, Sanfilippo PG, Schillert A, de Jong PTVM, Oostra BA, Uitterlinden AG, Hofman A, Zhou T, Burdon KP, Spector TD, Lackner KJ, Saw SM, Vingerling JR, Teo YY, Pasquale LR, Wolfs RCW, Lemij HG, Tai ES, Jonas JB, Cheng CY, Aung T, Jansonius NM, Klaver CCW, Craig JE, Young TL, Haines JL, MacGregor S, Mackey DA, Pfeiffer N, Wong TY, Wiggs JL, Hewitt AW, van Duijn CM, Hammond CJ. Meta-analysis of Genome-Wide Association Studies Identifies Novel Loci Associated With Optic Disc Morphology. Genet Epidemiol 2015; 39:207-16. [PMID: 25631615 DOI: 10.1002/gepi.21886] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2014] [Revised: 12/05/2014] [Accepted: 12/11/2014] [Indexed: 01/30/2023]
Abstract
Primary open-angle glaucoma is the most common optic neuropathy and an important cause of irreversible blindness worldwide. The optic nerve head or optic disc is divided in two parts: a central cup (without nerve fibers) surrounded by the neuroretinal rim (containing axons of the retinal ganglion cells). The International Glaucoma Genetics Consortium conducted a meta-analysis of genome-wide association studies consisting of 17,248 individuals of European ancestry and 6,841 individuals of Asian ancestry. The outcomes of the genome-wide association studies were disc area and cup area. These specific measurements describe optic nerve morphology in another way than the vertical cup-disc ratio, which is a clinically used measurement, and may shed light on new glaucoma mechanisms. We identified 10 new loci associated with disc area (CDC42BPA, F5, DIRC3, RARB, ABI3BP, DCAF4L2, ELP4, TMTC2, NR2F2, and HORMAD2) and another 10 new loci associated with cup area (DHRS3, TRIB2, EFEMP1, FLNB, FAM101, DDHD1, ASB7, KPNB1, BCAS3, and TRIOBP). The new genes participate in a number of pathways and future work is likely to identify more functions related to the pathogenesis of glaucoma.
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Affiliation(s)
- Henriët Springelkamp
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Ophthalmology, Erasmus Medical Center, Rotterdam, the Netherlands
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25
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Transcriptomic analysis across nasal, temporal, and macular regions of human neural retina and RPE/choroid by RNA-Seq. Exp Eye Res 2014; 129:93-106. [PMID: 25446321 DOI: 10.1016/j.exer.2014.11.001] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2014] [Revised: 10/31/2014] [Accepted: 11/04/2014] [Indexed: 12/27/2022]
Abstract
Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal diseases, such as Best disease and male germ cell associated kinase (MAK)-associated retinitis pigmentosa, preferentially affect distinct topographic regions of the retina. While much is known about the distribution of cell types in the retina, the distribution of molecular components across the posterior pole of the eye has not been well-studied. To investigate regional difference in molecular composition of ocular tissues, we assessed differential gene expression across the temporal, macular, and nasal retina and retinal pigment epithelium (RPE)/choroid of human eyes using RNA-Seq. RNA from temporal, macular, and nasal retina and RPE/choroid from four human donor eyes was extracted, poly-A selected, fragmented, and sequenced as 100 bp read pairs. Digital read files were mapped to the human genome and analyzed for differential expression using the Tuxedo software suite. Retina and RPE/choroid samples were clearly distinguishable at the transcriptome level. Numerous transcription factors were differentially expressed between regions of the retina and RPE/choroid. Photoreceptor-specific genes were enriched in the peripheral samples, while ganglion cell and amacrine cell genes were enriched in the macula. Within the RPE/choroid, RPE-specific genes were upregulated at the periphery while endothelium associated genes were upregulated in the macula. Consistent with previous studies, BEST1 expression was lower in macular than extramacular regions. The MAK gene was expressed at lower levels in macula than in extramacular regions, but did not exhibit a significant difference between nasal and temporal retina. The regional molecular distinction is greatest between macula and periphery and decreases between different peripheral regions within a tissue. Datasets such as these can be used to prioritize candidate genes for possible involvement in retinal diseases with regional phenotypes.
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26
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Morgan DJ, DeAngelis MM. Differential Gene Expression in Age-Related Macular Degeneration. Cold Spring Harb Perspect Med 2014; 5:a017210. [PMID: 25342062 DOI: 10.1101/cshperspect.a017210] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Gene expression is the first step in ascribing function between an associated gene and disease. Understanding how variation in a gene influences expression, particularly in tissues affected by the disease, may help elucidate what influences the phenotypic outcome of that disease. Previous studies of the genetics of age-related macular degeneration (AMD) have identified several risk factors, but have not yet bridged the gap between gene association and identifying a specific mechanism or function that is involved in the pathogenesis of AMD. Advances in genomic technologies, such as RNA sequencing (RNA-seq), single cell RNA-seq, bilsulfite sequencing, and/or whole genome methylation, will be powerful tools for identifying genes/pathways that are differentially expressed in those with AMD versus those without AMD. These technologies should advance the field of AMD research so that appropriate preventive and therapeutic targets can be developed.
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Affiliation(s)
- Denise J Morgan
- Department of Ophthalmology and Visual Sciences, John A. Moran Eye Center, University of Utah School of Medicine, Salt Lake City, Utah 84132
| | - Margaret M DeAngelis
- Department of Ophthalmology and Visual Sciences, John A. Moran Eye Center, University of Utah School of Medicine, Salt Lake City, Utah 84132
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27
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Ziesel A, Bernstein S, Wong PW. Generation of a foveomacular transcriptome. Mol Vis 2014; 20:947-54. [PMID: 24991187 PMCID: PMC4077849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2014] [Accepted: 06/29/2014] [Indexed: 11/02/2022] Open
Abstract
PURPOSE Organizing molecular biologic data is a growing challenge since the rate of data accumulation is steadily increasing. Information relevant to a particular biologic query can be difficult to extract from the comprehensive databases currently available. We present a data collection and organization model designed to ameliorate these problems and applied it to generate an expressed sequence tag (EST)-based foveomacular transcriptome. METHODS Using Perl, MySQL, EST libraries, screening, and human foveomacular gene expression as a model system, we generated a foveomacular transcriptome database enriched for molecularly relevant data. RESULTS Using foveomacula as a gene expression model tissue, we identified and organized 6,056 genes expressed in that tissue. Of those identified genes, 3,480 had not been previously described as expressed in the foveomacula. Internal experimental controls as well as comparison of our data set to published data sets suggest we do not yet have a complete description of the foveomacula transcriptome. CONCLUSIONS We present an organizational method designed to amplify the utility of data pertinent to a specific research interest. Our method is generic enough to be applicable to a variety of conditions yet focused enough to allow for specialized study.
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Affiliation(s)
- Alison Ziesel
- Department of Ophthalmology, Emory University, Atlanta GA
| | - Steven Bernstein
- Department of Opthalmology and Visual Sciences, University of Maryland, Baltimore MD
| | - Paul W. Wong
- Department of Ophthalmology, Emory University, Atlanta GA
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28
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Sadigh S, Luo X, Cideciyan AV, Sumaroka A, Boxley SL, Hall LM, Sheplock R, Feuer WJ, Stambolian DS, Jacobson SG. Drusen and photoreceptor abnormalities in African-Americans with intermediate non-neovascular age-related macular degeneration. Curr Eye Res 2014; 40:398-406. [PMID: 24912073 DOI: 10.3109/02713683.2014.925934] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
PURPOSE/AIM To investigate the relationship of drusen and photoreceptor abnormalities in African-American (AA) patients with intermediate non-neovascular age-related macular degeneration (AMD). MATERIALS AND METHODS AA patients with intermediate AMD (n = 11; age 52-77 years) were studied with spectral-domain optical coherence tomography. Macular location and characteristics of large drusen (≥125 µm) were determined. Thickness of photoreceptor laminae was quantified overlying drusen and in other macular regions. A patient with advanced AMD (age 87) was included to illustrate the disease spectrum. RESULTS In this AA patient cohort, the spectrum of changes known to occur in AMD, including large drusen, sub-retinal drusenoid deposits and geographic atrophy, were identified. In intermediate AMD eyes (n = 17), there were 183 large drusen, the majority of which were pericentral in location. Overlying the drusen there was significant thinning of the photoreceptor outer nuclear layer (termed ONL(+)) as well as the inner and outer segments (IS + OS). The reductions in IS + OS thickness were directly related to ONL(+) thickness. In a fraction (∼8%) of paradrusen locations with normal lamination sampled within ∼280 µm of peak drusen height, ONL(+) was significantly thickened compared to age and retinal-location-matched normal values. Topographical maps of the macula confirmed ONL thickening in regions neighboring and distant to large drusen. CONCLUSIONS We confirm there is a pericentral distribution of drusen across AA-AMD maculae rather than the central localization in Caucasian AMD. Reductions in the photoreceptor laminae overlying drusen are evident. ONL(+) thickening in some macular areas of AA-AMD eyes may be an early phenotypic marker for photoreceptor stress.
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Affiliation(s)
- Sam Sadigh
- Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine at the University of Pennsylvania , Philadelphia, PA , USA
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29
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Li M, Jia C, Kazmierkiewicz KL, Bowman AS, Tian L, Liu Y, Gupta NA, Gudiseva HV, Yee SS, Kim M, Dentchev T, Kimble JA, Parker JS, Messinger JD, Hakonarson H, Curcio CA, Stambolian D. Comprehensive analysis of gene expression in human retina and supporting tissues. Hum Mol Genet 2014; 23:4001-14. [PMID: 24634144 PMCID: PMC7297232 DOI: 10.1093/hmg/ddu114] [Citation(s) in RCA: 96] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Understanding the influence of gene expression on the molecular mechanisms underpinning human phenotypic diversity is fundamental to being able to predict health outcomes and treat disease. We have carried out whole transcriptome expression analysis on a series of eight normal human postmortem eyes by RNA sequencing. Here we present data showing that ∼80% of the transcriptome is expressed in the posterior layers of the eye and that there is significant differential expression not only between the layers of the posterior part of the eye but also between locations of a tissue layer. These differences in expression also extend to alternative splicing and splicing factors. Differentially expressed genes are enriched for genes associated with psychiatric, immune and cardiovascular disorders. Enrichment categories for gene ontology included ion transport, synaptic transmission and visual and sensory perception. Lastly, allele-specific expression was found to be significant forCFH,C3 andCFB, which are known risk genes for age-related macular degeneration. These expression differences should be useful in determining the underlying biology of associations with common diseases of the human retina, retinal pigment epithelium and choroid and in guiding the analysis of the genomic regions involved in the control of normal gene expression.
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Affiliation(s)
- Mingyao Li
- Department of Biostatistics and Epidemiology
| | - Cheng Jia
- Department of Biostatistics and Epidemiology
| | | | | | | | - Yichuan Liu
- Department of Biostatistics and Epidemiology
| | - Neel A Gupta
- College of Medicine, Drexel University, Philadelphia, PA 19104, USA
| | | | | | | | | | - James A Kimble
- Retina Specialists of Alabama, Birmingham, AL 35294, USA Department of Ophthalmology, University of Alabama School of Medicine, Birmingham, AL 35294, USA
| | - John S Parker
- Department of Ophthalmology, University of Alabama School of Medicine, Birmingham, AL 35294, USA
| | - Jeffrey D Messinger
- Department of Ophthalmology, University of Alabama School of Medicine, Birmingham, AL 35294, USA
| | - Hakon Hakonarson
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA Division of Pulmonary Medicine and The Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Christine A Curcio
- Department of Ophthalmology, University of Alabama School of Medicine, Birmingham, AL 35294, USA
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30
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Whitmore SS, Braun TA, Skeie JM, Haas CM, Sohn EH, Stone EM, Scheetz TE, Mullins RF. Altered gene expression in dry age-related macular degeneration suggests early loss of choroidal endothelial cells. Mol Vis 2013; 19:2274-97. [PMID: 24265543 PMCID: PMC3834599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2013] [Accepted: 11/14/2013] [Indexed: 10/26/2022] Open
Abstract
PURPOSE Age-related macular degeneration (AMD) is a major cause of blindness in developed countries. The molecular pathogenesis of early events in AMD is poorly understood. We investigated differential gene expression in samples of human retinal pigment epithelium (RPE) and choroid from early AMD and control maculas with exon-based arrays. METHODS Gene expression levels in nine human donor eyes with early AMD and nine control human donor eyes were assessed using Affymetrix Human Exon ST 1.0 arrays. Two controls did not pass quality control and were removed. Differentially expressed genes were annotated using the Database for Annotation, Visualization and Integrated Discovery (DAVID), and gene set enrichment analysis (GSEA) was performed on RPE-specific and endothelium-associated gene sets. The complement factor H (CFH) genotype was also assessed, and differential expression was analyzed regarding high AMD risk (YH/HH) and low AMD risk (YY) genotypes. RESULTS Seventy-five genes were identified as differentially expressed (raw p value <0.01; ≥50% fold change, mean log2 expression level in AMD or control ≥ median of all average gene expression values); however, no genes were significant (adj. p value <0.01) after correction for multiple hypothesis testing. Of 52 genes with decreased expression in AMD (fold change <0.5; raw p value <0.01), 18 genes were identified by DAVID analysis as associated with vision or neurologic processes. The GSEA of the RPE-associated and endothelium-associated genes revealed a significant decrease in genes typically expressed by endothelial cells in the early AMD group compared to controls, consistent with previous histologic and proteomic studies. Analysis of the CFH genotype indicated decreased expression of ADAMTS9 in eyes with high-risk genotypes (fold change = -2.61; raw p value=0.0008). CONCLUSIONS GSEA results suggest that RPE transcripts are preserved or elevated in early AMD, concomitant with loss of endothelial cell marker expression. These results are consistent with the notion that choroidal endothelial cell dropout or dedifferentiation occurs early in the pathogenesis of AMD.
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Affiliation(s)
- S. Scott Whitmore
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA,Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA
| | - Terry A. Braun
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA,Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA,Department of Biomedical Engineering, The University of Iowa, Iowa City, IA
| | - Jessica M. Skeie
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA,Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA
| | - Christine M. Haas
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA,Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA
| | - Elliott H. Sohn
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA,Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA
| | - Edwin M. Stone
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA,Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA
| | - Todd E. Scheetz
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA,Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA,Department of Biomedical Engineering, The University of Iowa, Iowa City, IA
| | - Robert F. Mullins
- Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA,Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA
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Liu Y, Allingham RR, Qin X, Layfield D, Dellinger AE, Gibson J, Wheeler J, Ashley-Koch AE, Stamer WD, Hauser MA. Gene expression profile in human trabecular meshwork from patients with primary open-angle glaucoma. Invest Ophthalmol Vis Sci 2013; 54:6382-9. [PMID: 24003086 DOI: 10.1167/iovs.13-12128] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
PURPOSE To identify the specific genes in human trabecular meshwork (TM) related to POAG. METHODS Primary open-angle glaucoma TM specimens were obtained from routine trabeculectomy surgery. Nonglaucomatous control TM specimens were dissected from donor eyes using the same approach as a standard trabeculectomy. All cases were screened for myocilin (MYOC) mutations. Total RNA was extracted, labeled, and hybridized to Illumina HumanWG-6 BeadChips. Expression data were normalized and analyzed using the R package limma in Bioconductor. Pathway analyses were performed using DAVID Bioinformatics Resources. RESULTS Our study included surgical TM specimens from 15 cases and 13 controls. One case was identified with a heterozygous Q368X MYOC mutation. If TMs were available from both eyes in an individual, the expression data were combined for analysis. The following three comparisons were performed for differential analyses: (1) MYOC POAG case versus 14 non-MYOC POAG cases, (2) MYOC POAG case versus 13 controls, and (3) 14 non-MYOC POAG cases versus 13 controls. Limited by one MYOC case in comparisons 1 and 2, expression changes were reported comparing the fold changes but without P values. Comparison 3 identified 483 genes, including 36 components of TM exosomes. Gene ontology analysis identified several enriched functional clusters, including cell adhesion, extracellular matrix, and secretion. CONCLUSIONS This is the largest TM expression study of POAG cases and controls performed to date and represents the first report of TM expression in a patient having POAG with a Q368X MYOC mutation. Our data suggest the potential role of endocytic and exosome pathways in the pathogenesis of POAG.
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Affiliation(s)
- Yutao Liu
- Center for Human Genetics, Duke University Medical Center, Durham, North Carolina
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Farkas MH, Grant GR, White JA, Sousa ME, Consugar MB, Pierce EA. Transcriptome analyses of the human retina identify unprecedented transcript diversity and 3.5 Mb of novel transcribed sequence via significant alternative splicing and novel genes. BMC Genomics 2013; 14:486. [PMID: 23865674 PMCID: PMC3924432 DOI: 10.1186/1471-2164-14-486] [Citation(s) in RCA: 136] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2013] [Accepted: 07/15/2013] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The retina is a complex tissue comprised of multiple cell types that is affected by a diverse set of diseases that are important causes of vision loss. Characterizing the transcripts, both annotated and novel, that are expressed in a given tissue has become vital for understanding the mechanisms underlying the pathology of disease. RESULTS We sequenced RNA prepared from three normal human retinas and characterized the retinal transcriptome at an unprecedented level due to the increased depth of sampling provided by the RNA-seq approach. We used a non-redundant reference transcriptome from all of the empirically-determined human reference tracks to identify annotated and novel sequences expressed in the retina. We detected 79,915 novel alternative splicing events, including 29,887 novel exons, 21,757 3' and 5' alternate splice sites, and 28,271 exon skipping events. We also identified 116 potential novel genes. These data represent a significant addition to the annotated human transcriptome. For example, the novel exons detected increase the number of identified exons by 3%. Using a high-throughput RNA capture approach to validate 14,696 of these novel transcriptome features we found that 99% of the putative novel events can be reproducibly detected. Further, 15-36% of the novel splicing events maintain an open reading frame, suggesting they produce novel protein products. CONCLUSIONS To our knowledge, this is the first application of RNA capture to perform large-scale validation of novel transcriptome features. In total, these analyses provide extensive detail about a previously uncharacterized level of transcript diversity in the human retina.
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Affiliation(s)
- Michael H Farkas
- Ocular Genomics Institute, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
- Berman-Gund Laboratory for the Study of Retinal Degenerations, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Gregory R Grant
- Penn Center for Bioinformatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Joseph A White
- Ocular Genomics Institute, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
- Berman-Gund Laboratory for the Study of Retinal Degenerations, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Maria E Sousa
- Ocular Genomics Institute, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
- Berman-Gund Laboratory for the Study of Retinal Degenerations, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Mark B Consugar
- Ocular Genomics Institute, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
- Berman-Gund Laboratory for the Study of Retinal Degenerations, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Eric A Pierce
- Ocular Genomics Institute, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
- Berman-Gund Laboratory for the Study of Retinal Degenerations, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
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A Prevalence of Imprinted Genes within the Total Transcriptomes of Human Tissues and Cells. Mol Biol Int 2012; 2012:793506. [PMID: 22997578 PMCID: PMC3446743 DOI: 10.1155/2012/793506] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Revised: 06/23/2012] [Accepted: 06/28/2012] [Indexed: 11/30/2022] Open
Abstract
Genomic imprinting is an epigenetic phenomenon that causes a differential expression of paternally and maternally inherited alleles of a subset of genes (the so-called imprinted genes). Imprinted genes are distributed throughout the genome and it is predicted that about 1% of the human genes may be imprinted. It is recognized that the allelic expression of imprinted genes varies between tissues and developmental stages. The current study represents the first attempt to estimate a prevalence of imprinted genes within the total human transcriptome. In silico analysis of the normalized expression profiles of a comprehensive panel of 173 established and candidate human imprinted genes was performed, in 492 publicly available SAGE libraries. The latter represent human cell and tissue samples in a variety of physiological and pathological conditions. Variations in the prevalence of imprinted genes within the total transcriptomes (ranging from 0.08% to 4.36%) and expression profiles of the individual imprinted genes are assessed. This paper thus provides a useful reference on the size of the imprinted transcriptome and expression of the individual imprinted genes.
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Montanini L, Ferrari S, Crafa P, Ghirardini S, Ponzin D, Orsoni JG, Mora P. Human RNA integrity after postmortem retinal tissue recovery. Ophthalmic Genet 2012; 34:27-31. [PMID: 22950451 DOI: 10.3109/13816810.2012.720342] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
PURPOSE To assess the parameters for postmortem retinal tissue recovery and processing that affect the quality of RNA extracted from the retina/retinal pigment epithelium (RPE) complex. METHODS RNA was extracted from retina/RPE samples. The RNA quality was determined based on qualitative/quantitative measurements made with a Bioanalyzer (Agilent) and on the expression of a long retinal gene (RPE65). After a pilot analysis on rats, ocular RNA was extracted from human donor eyeballs (group A) explanted according to conventional procedures for cornea transplantation. In a second experiment, another group of human donor eyeballs (group B) were processed in a much shorter time. The postmortem interval (T) comprised two periods: T1, the time between a donor's death and enucleation, and T2, the time between eyeball explantation and immersion of the excised retina/RPE sample in preservative solution (T = T1 + T2). RESULTS A short T2 was correlated with good quality of RNA extracted from the retina/RPE complex (p = 0.043) and successful expression of a tissue-specific gene (p = 0.007). No other parameter appeared to influence RNA quality. CONCLUSIONS The time between eyeball explantation and immersion of the retina/RPE sample in preservative solution was the chief parameter affecting the quality of RNA extracted from the retina/RPE complex.
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Affiliation(s)
- Luisa Montanini
- Institute of Ophthalmology, University of Parma, Parma, Italy.
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Liu T, Xie L, Ye J, Liu Y, He X. Screening of candidate genes for primary open angle glaucoma. Mol Vis 2012; 18:2119-26. [PMID: 22876139 PMCID: PMC3413431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2012] [Accepted: 07/23/2012] [Indexed: 11/15/2022] Open
Abstract
PURPOSE Primary open-angle glaucoma (POAG) is one of the leading causes of irreversible blindness in the world. To make progress in understanding POAG, it is necessary to identify more POAG-causing genes. METHODS Using haplotype analysis, we found that mutational region is located on chromosome 2 in two families. Furthermore, we screened 11 candidate genes on chromosome 2 by protein-protein interaction (PPI) analysis, including mutS homolog 6 (MSH6), mutS homolog 2 (MSH2), v-rel reticuloendotheliosis viral oncogene homolog (REL), endothelial PAS domain protein 1 (EPAS1), vaccinia related kinase 2 (VRK2), F-box protein 11 (FBXO11), EGF containing fibulin-like extracellular matrix protein 1 (EFEMP1), reticulon 4 (RTN4), RAB1A, member RAS oncogene family (RAB1A), ARP2 actin-related protein 2 homolog (ACTR2), and calmodulin 2 (phosphorylase kinase, delta; CALM2). These 11 genes are all predicted to be related to trabecular meshwork changes and progressive loss of retinal ganglion cells in POAG patients. RESULTS According to our study, FBXO11 and VRK2 may interact with tumor protein p53 to regulate mitochondrial membrane permeability, mitochondrial membrane organization, and apoptosis. MSH2 is responsible for repairing DNA mismatches and RTN4 is for neuronal regeneration. Therefore, they are supposed to play a negative role in cellular process in POAG. CALM2 may be involved in retinal ganglion cell death and oxidative damage to cell communication. CONCLUSIONS The results demonstrate that the genes above may be associated with pathogenesis of POAG.
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Affiliation(s)
- Ting Liu
- Department of Ophthalmology, Daping Hospital, Research Institute of Surgery, Third Military Medical University of PLA, Chongqing, China
| | - Lin Xie
- Department of Ophthalmology, Daping Hospital, Research Institute of Surgery, Third Military Medical University of PLA, Chongqing, China
| | - Jian Ye
- Department of Ophthalmology, Daping Hospital, Research Institute of Surgery, Third Military Medical University of PLA, Chongqing, China
| | - Yuewuyang Liu
- Ninth Team of the Cader Brigade of Third Military Medical University of PLA, Chongqing, China
| | - Xiangge He
- Department of Ophthalmology, Daping Hospital, Research Institute of Surgery, Third Military Medical University of PLA, Chongqing, China
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Whitmore SS, Mullins RF. Transcriptome changes in age-related macular degeneration. BMC Med 2012; 10:21. [PMID: 22369667 PMCID: PMC3307472 DOI: 10.1186/1741-7015-10-21] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2012] [Accepted: 02/27/2012] [Indexed: 12/03/2022] Open
Abstract
Age-related macular degeneration (AMD) is a debilitating, common cause of visual impairment. While the last decade has seen great progress in understanding the pathophysiology of AMD, the molecular changes that occur in eyes with AMD are still poorly understood. In the current issue of Genome Medicine, Newman and colleagues present the first systematic transcriptional profile analysis of AMD-affected tissues, providing a comprehensive set of expression data for different regions (macula versus periphery), tissues (retina versus retinal pigment epithelium (RPE)/choroid), and disease state (control versus early or advanced AMD). Their findings will serve as a foundation for additional systems-level research into the pathogenesis of this blinding disease.
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Affiliation(s)
- S Scott Whitmore
- Department of Ophthalmology and Visual Sciences, The University of Iowa Carver College of Medicine, 4135E MERF, 375 Newton Rd, Iowa City, IA 52242, USA
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Abstract
Visual perception in humans occurs through absorption of electromagnetic radiation from 400 to 780 nm by photoreceptors in the retina. A photon of visible light carries a sufficient amount of energy to cause, when absorbed, a cis,trans-geometric isomerization of the 11-cis-retinal chromophore, a vitamin A derivative bound to rhodopsin and cone opsins of retinal photoreceptors. The unique biochemistry of these complexes allows us to reliably and reproducibly collect continuous visual information about our environment. Moreover, other nonconventional retinal opsins such as the circadian rhythm regulator melanopsin also initiate light-activated signaling based on similar photochemistry.
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Affiliation(s)
- Krzysztof Palczewski
- Department of Pharmacology, Case Western Reserve University, Cleveland, Ohio 44106, USA.
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Bowne SJ, Humphries MM, Sullivan LS, Kenna PF, Tam LCS, Kiang AS, Campbell M, Weinstock GM, Koboldt DC, Ding L, Fulton RS, Sodergren EJ, Allman D, Millington-Ward S, Palfi A, McKee A, Blanton SH, Slifer S, Konidari I, Farrar GJ, Daiger SP, Humphries P. A dominant mutation in RPE65 identified by whole-exome sequencing causes retinitis pigmentosa with choroidal involvement. Eur J Hum Genet 2011; 19:1074-81. [PMID: 21654732 DOI: 10.1038/ejhg.2011.86] [Citation(s) in RCA: 111] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Linkage testing using Affymetrix 6.0 SNP Arrays mapped the disease locus in TCD-G, an Irish family with autosomal dominant retinitis pigmentosa (adRP), to an 8.8 Mb region on 1p31. Of 50 known genes in the region, 11 candidates, including RPE65 and PDE4B, were sequenced using di-deoxy capillary electrophoresis. Simultaneously, a subset of family members was analyzed using Agilent SureSelect All Exome capture, followed by sequencing on an Illumina GAIIx platform. Candidate gene and exome sequencing resulted in the identification of an Asp477Gly mutation in exon 13 of the RPE65 gene tracking with the disease in TCD-G. All coding exons of genes not sequenced to sufficient depth by next generation sequencing were sequenced by di-deoxy sequencing. No other potential disease-causing variants were found to segregate with disease in TCD-G. The Asp477Gly mutation was not present in Irish controls, but was found in a second Irish family provisionally diagnosed with choroideremia, bringing the combined maximum two-point LOD score to 5.3. Mutations in RPE65 are a known cause of recessive Leber congenital amaurosis (LCA) and recessive RP, but no dominant mutations have been reported. Protein modeling suggests that the Asp477Gly mutation may destabilize protein folding, and mutant RPE65 protein migrates marginally faster on SDS-PAGE, compared with wild type. Gene therapy for LCA patients with RPE65 mutations has shown great promise, raising the possibility of related therapies for dominant-acting mutations in this gene.
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Affiliation(s)
- Sara J Bowne
- Human Genetics Center, The University of Texas Health Science Center, Houston, TX, USA
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Liu Y, Munro D, Layfield D, Dellinger A, Walter J, Peterson K, Rickman CB, Allingham RR, Hauser MA. Serial analysis of gene expression (SAGE) in normal human trabecular meshwork. Mol Vis 2011; 17:885-93. [PMID: 21528004 PMCID: PMC3081805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2011] [Accepted: 03/29/2011] [Indexed: 11/05/2022] Open
Abstract
PURPOSE To identify the genes expressed in normal human trabecular meshwork tissue, a tissue critical to the pathogenesis of glaucoma. METHODS Total RNA was extracted from human trabecular meshwork (HTM) harvested from 3 different donors. Extracted RNA was used to synthesize individual SAGE (serial analysis of gene expression) libraries using the I-SAGE Long kit from Invitrogen. Libraries were analyzed using SAGE 2000 software to extract the 17 base pair sequence tags. The extracted sequence tags were mapped to the genome using SAGE Genie map. RESULTS A total of 298,834 SAGE tags were identified from all HTM libraries (96,842, 88,126, and 113,866 tags, respectively). Collectively, there were 107,325 unique tags. There were 10,329 unique tags with a minimum of 2 counts from a single library. These tags were mapped to known unique Unigene clusters. Approximately 29% of the tags (orphan tags) did not map to a known Unigene cluster. Thirteen percent of the tags mapped to at least 2 Unigene clusters. Sequence tags from many glaucoma-related genes, including myocilin, optineurin, and WD repeat domain 36, were identified. CONCLUSIONS This is the first time SAGE analysis has been used to characterize the gene expression profile in normal HTM. SAGE analysis provides an unbiased sampling of gene expression of the target tissue. These data will provide new and valuable information to improve understanding of the biology of human aqueous outflow.
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Affiliation(s)
- Yutao Liu
- Center for Human Genetics, Duke University Medical Center, Durham, NC
| | - Drew Munro
- Department of Ophthalmology, Duke University Medical Center, Durham, NC
| | - David Layfield
- Center for Human Genetics, Duke University Medical Center, Durham, NC
| | - Andrew Dellinger
- Center for Human Genetics, Duke University Medical Center, Durham, NC
| | - Jeffrey Walter
- Center for Human Genetics, Duke University Medical Center, Durham, NC
| | - Katherine Peterson
- Section on Molecular Structure and Functional Genomics, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Catherine Bowes Rickman
- Department of Ophthalmology, Duke University Medical Center, Durham, NC,Department of Cell Biology, Duke University Medical Center, Durham, NC
| | - R. Rand Allingham
- Department of Ophthalmology, Duke University Medical Center, Durham, NC
| | - Michael A. Hauser
- Center for Human Genetics, Duke University Medical Center, Durham, NC,Department of Ophthalmology, Duke University Medical Center, Durham, NC
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Spencer KL, Olson LM, Schnetz-Boutaud N, Gallins P, Wang G, Scott WK, Agarwal A, Jakobsdottir J, Conley Y, Weeks DE, Gorin MB, Pericak-Vance MA, Haines JL. Dissection of chromosome 16p12 linkage peak suggests a possible role for CACNG3 variants in age-related macular degeneration susceptibility. Invest Ophthalmol Vis Sci 2011; 52:1748-54. [PMID: 21169531 DOI: 10.1167/iovs.09-5112] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
PURPOSE Age-related macular degeneration (AMD) is a complex disorder of the retina, characterized by drusen, geographic atrophy, and choroidal neovascularization. Cigarette smoking and the genetic variants CFH Y402H, ARMS2 A69S, CFB R32Q, and C3 R102G have been strongly and consistently associated with AMD. Multiple linkage studies have found evidence suggestive of another AMD locus on chromosome 16p12 but the gene responsible has yet to be identified. METHODS In the initial phase of the study, single-nucleotide polymorphisms (SNPs) across chromosome 16 were examined for linkage and/or association in 575 Caucasian individuals from 148 multiplex and 77 singleton families. Additional variants were tested in an independent dataset of unrelated cases and controls. According to these results, in combination with gene expression data and biological knowledge, five genes were selected for further study: CACNG3, HS3ST4, IL4R, Q7Z6F8, and ITGAM. RESULTS After genotyping additional tagging SNPs across each gene, the strongest evidence for linkage and association was found within CACNG3 (rs757200 nonparametric LOD* = 3.3, APL (association in the presence of linkage) P = 0.06, and rs2238498 MQLS (modified quasi-likelihood score) P = 0.006 in the families; rs2283550 P = 1.3 × 10(-6), and rs4787924 P = 0.002 in the case-control dataset). After adjusting for known AMD risk factors, rs2283550 remained strongly associated (P = 2.4 × 10(-4)). Furthermore, the association signal at rs4787924 was replicated in an independent dataset (P = 0.035) and in a joint analysis of all the data (P = 0.001). CONCLUSIONS These results suggest that CACNG3 is the best candidate for an AMD risk gene within the 16p12 linkage peak. More studies are needed to confirm this association and clarify the role of the gene in AMD pathogenesis.
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Affiliation(s)
- Kylee L Spencer
- Center for Human Genetics Research, Vanderbilt University, Nashville, Tennessee, USA.
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Lachke SA, Maas RL. Building the developmental oculome: systems biology in vertebrate eye development and disease. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE 2011; 2:305-323. [PMID: 20836031 DOI: 10.1002/wsbm.59] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The vertebrate eye is a sophisticated multicomponent organ that has been actively studied for over a century, resulting in the identification of the major embryonic and molecular events involved in its complex developmental program. Data gathered so far provides sufficient information to construct a rudimentary network of the various signaling molecules, transcription factors, and their targets for several key stages of this process. With the advent of genomic technologies, there has been a rapid expansion in our ability to collect and process biological information, and the use of systems-level approaches to study specific aspects of vertebrate eye development has already commenced. This is beginning to result in the definition of the dynamic developmental networks that operate in ocular tissues, and the interactions of such networks between coordinately developing ocular tissues. Such an integrative understanding of the eye by a comprehensive systems-level analysis can be termed the 'oculome', and that of serial developmental stages of the eye as it transits from its initiation to a fully formed functional organ represents the 'developmental oculome'. Construction of the developmental oculome will allow novel mechanistic insights that are essential for organ regeneration-based therapeutic applications, and the generation of computational models for eye disease states to predict the effects of drugs. This review discusses our present understanding of two of the individual components of the developing vertebrate eye--the lens and retina--at both the molecular and systems levels, and outlines the directions and tools required for construction of the developmental oculome.
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Affiliation(s)
- Salil A Lachke
- Division of Genetics, Brigham & Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Richard L Maas
- Division of Genetics, Brigham & Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
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Bowne SJ, Sullivan LS, Koboldt DC, Ding L, Fulton R, Abbott RM, Sodergren EJ, Birch DG, Wheaton DH, Heckenlively JR, Liu Q, Pierce EA, Weinstock GM, Daiger SP. Identification of disease-causing mutations in autosomal dominant retinitis pigmentosa (adRP) using next-generation DNA sequencing. Invest Ophthalmol Vis Sci 2011; 52:494-503. [PMID: 20861475 DOI: 10.1167/iovs.10-6180] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
PURPOSE To determine whether massively parallel next-generation DNA sequencing offers rapid and efficient detection of disease-causing mutations in patients with monogenic inherited diseases. Retinitis pigmentosa (RP) is a challenging application for this technology because it is a monogenic disease in individuals and families but is highly heterogeneous in patient populations. RP has multiple patterns of inheritance, with mutations in many genes for each inheritance pattern and numerous, distinct, disease-causing mutations at each locus; further, many RP genes have not been identified yet. METHODS Next-generation sequencing was used to identify mutations in pairs of affected individuals from 21 families with autosomal dominant RP, selected from a cohort of families without mutations in "common" RP genes. One thousand amplicons targeting 249,267 unique bases of 46 candidate genes were sequenced with the 454GS FLX Titanium (Roche Diagnostics, Indianapolis, IN) and GAIIx (Illumina/Solexa, San Diego, CA) platforms. RESULTS An average sequence depth of 70× and 125× was obtained for the 454GS FLX and GAIIx platforms, respectively. More than 9000 sequence variants were identified and analyzed, to assess the likelihood of pathogenicity. One hundred twelve of these were selected as likely candidates and tested for segregation with traditional di-deoxy capillary electrophoresis sequencing of additional family members and control subjects. Five disease-causing mutations (24%) were identified in the 21 families. CONCLUSION This project demonstrates that next-generation sequencing is an effective approach for detecting novel, rare mutations causing heterogeneous monogenic disorders such as RP. With the addition of this technology, disease-causing mutations can now be identified in 65% of autosomal dominant RP cases.
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Affiliation(s)
- Sara J Bowne
- Human Genetics Center, The University of Texas Health Science Center, Houston, Texas 77030, USA
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Booij JC, ten Brink JB, Swagemakers SMA, Verkerk AJMH, Essing AHW, van der Spek PJ, Bergen AAB. A new strategy to identify and annotate human RPE-specific gene expression. PLoS One 2010; 5:e9341. [PMID: 20479888 PMCID: PMC2866542 DOI: 10.1371/journal.pone.0009341] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2009] [Accepted: 01/27/2010] [Indexed: 01/15/2023] Open
Abstract
Background To identify and functionally annotate cell type-specific gene expression in the human retinal pigment epithelium (RPE), a key tissue involved in age-related macular degeneration and retinitis pigmentosa. Methodology RPE, photoreceptor and choroidal cells were isolated from selected freshly frozen healthy human donor eyes using laser microdissection. RNA isolation, amplification and hybridization to 44 k microarrays was carried out according to Agilent specifications. Bioinformatics was carried out using Rosetta Resolver, David and Ingenuity software. Principal Findings Our previous 22 k analysis of the RPE transcriptome showed that the RPE has high levels of protein synthesis, strong energy demands, is exposed to high levels of oxidative stress and a variable degree of inflammation. We currently use a complementary new strategy aimed at the identification and functional annotation of RPE-specific expressed transcripts. This strategy takes advantage of the multilayered cellular structure of the retina and overcomes a number of limitations of previous studies. In triplicate, we compared the transcriptomes of RPE, photoreceptor and choroidal cells and we deduced RPE specific expression. We identified at least 114 entries with RPE-specific gene expression. Thirty-nine of these 114 genes also show high expression in the RPE, comparison with the literature showed that 85% of these 39 were previously identified to be expressed in the RPE. In the group of 114 RPE specific genes there was an overrepresentation of genes involved in (membrane) transport, vision and ophthalmic disease. More fundamentally, we found RPE-specific involvement in the RAR-activation, retinol metabolism and GABA receptor signaling pathways. Conclusions In this study we provide a further specification and understanding of the RPE transcriptome by identifying and analyzing genes that are specifically expressed in the RPE.
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Affiliation(s)
- Judith C. Booij
- Department of Clinical and Molecular Ophthalmogenetics, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Jacoline B. ten Brink
- Department of Clinical and Molecular Ophthalmogenetics, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Sigrid M. A. Swagemakers
- Department of Bioinformatics and Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
- Cancer Genomics Centre, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Anke H. W. Essing
- Department of Clinical and Molecular Ophthalmogenetics, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
| | - Peter J. van der Spek
- Department of Bioinformatics and Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Arthur A. B. Bergen
- Department of Clinical and Molecular Ophthalmogenetics, Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
- Clinical Genetics Academic Medical Centre Amsterdam, University of Amsterdam, The Netherlands
- Department of Ophthalmology, Academic Medical Centre Amsterdam, University of Amsterdam, The Netherlands
- * E-mail:
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Daiger SP, Sullivan LS, Bowne SJ, Birch DG, Heckenlively JR, Pierce EA, Weinstock GM. Targeted high-throughput DNA sequencing for gene discovery in retinitis pigmentosa. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2010; 664:325-31. [PMID: 20238032 DOI: 10.1007/978-1-4419-1399-9_37] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
The causes of retinitis pigmentosa (RP) are highly heterogeneous, with mutations in more than 60 genes known to cause syndromic and non-syndromic forms of disease. The prevalence of detectable mutations in known genes ranges from 25 to 85%, depending on mode of inheritance. For example, the likelihood of detecting a disease-causing mutation in known genes in patients with autosomal dominant RP (adRP) is 60% in Americans and less in other populations. Thus many RP genes are still unknown or mutations lie outside of commonly tested regions. Furthermore, current screening strategies can be costly and time-consuming.We are developing targeted high-throughput DNA sequencing to address these problems. In this approach, a microarray with oligonucleotides targeted to hundreds of genes is used to capture sheared human DNA, and the sequence of the eluted DNA is determined by ultra-high-throughput sequencing using next-generation DNA sequencing technology. The first capture array we have designed contains 62 full-length retinal disease genes, including introns and promoter regions, and an additional 531 genes limited to exons and flanking sequences. The full-length genes include all genes known to cause at least 1% of RP or other inherited retinal diseases. All of the genes listed in the RetNet database are included on the capture array as well as many additional retinal-expressed genes. After validation studies, the first DNA's tested will be from 89 unrelated adRP families in which the prevalent RP genes have been excluded. This approach should identify new RP genes and will substantially reduce the cost per patient.
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Affiliation(s)
- Stephen P Daiger
- Department of Ophthalmology and Visual Science, University of Texas Health Science Center, Houston, TX, USA.
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OKAMOTO H, UMEDA S, NOZAWA T, SUZUKI MT, YOSHIKAWA Y, MATSUURA ET, IWATA T. Comparative Proteomic Analyses of Macular and Peripheral Retina of Cynomolgus Monkeys (Macaca fascicularis). Exp Anim 2010; 59:171-82. [DOI: 10.1538/expanim.59.171] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Affiliation(s)
- Haru OKAMOTO
- Division of Molecular & Cellular Biology, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center
- Department of Advanced Biosciences, Ochanomizu University
| | - Shinsuke UMEDA
- Division of Molecular & Cellular Biology, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center
| | | | | | - Yasuhiro YOSHIKAWA
- Department of Biomedical Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo
| | | | - Takeshi IWATA
- Division of Molecular & Cellular Biology, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center
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Differential gene expression in the developing human macula: microarray analysis using rare tissue samples. J Ocul Biol Dis Infor 2009; 2:176-189. [PMID: 20157359 PMCID: PMC2816828 DOI: 10.1007/s12177-009-9039-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2009] [Accepted: 10/23/2009] [Indexed: 12/19/2022] Open
Abstract
The macula is a unique and important region in the primate retina that achieves high resolution and color vision in the central visual field. We recently reported data obtained from microarray analysis of gene expression in the macula of the human fetal retina (Kozulin et al., Mol Vis 15:45–59, 1). In this paper, we describe the preliminary analyses undertaken to visualize differences and verify comparability of the replicates used in that study, report the differential expression of other gene families obtained from the analysis, and show the reproducibility of our findings in several gene families by quantitative real-time PCR.
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Yu XH, Zhang H, Wang YH, Liu LJ, Teng Y, Liu P. Time-dependent reduction of glutamine synthetase in retina of diabetic rats. Exp Eye Res 2009; 89:967-71. [PMID: 19699197 DOI: 10.1016/j.exer.2009.08.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2008] [Revised: 07/29/2009] [Accepted: 08/14/2009] [Indexed: 01/17/2023]
Abstract
Diabetic Retinopathy (DR) is one of the most common complications of diabetes and a major cause of blindness worldwide. We studied the transcriptome of the diabetic retina using Series Analysis of Gene Expression (SAGE) technology and observed a 45.6% reduction in transcript levels of glutamine synthetase (GS) in streptozotocin-induced diabetic rats compared with normal rats. RT-PCR and colorimetric enzyme activity assays revealed significant differences in GS mRNA expression and enzyme activity as early as the first month of diabetes development, with a progressive decrease in GS mRNA level and enzyme activity over a 12-month period. Northern blot analysis indicated a linear correlation between the reduction in GS expression and the time course of diabetic retinopathy (r = 0.802, p < 0.0001), which was validated by real-time RT-PCR (r = 0.731, p < 0.001). Our results implicate GS as a possible biomarker for evaluating the severity of developed diabetic retinopathy over the time course of diabetes progression.
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Affiliation(s)
- Xu-hui Yu
- Department of Ophthalmology, The First Hospital of Harbin Medical University, Harbin 150001, China
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Application of serial analysis of gene expression to the study of human genetic disease. Hum Genet 2009; 126:605-14. [PMID: 19590894 DOI: 10.1007/s00439-009-0719-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2009] [Accepted: 07/02/2009] [Indexed: 02/06/2023]
Abstract
Sequence tag analysis using serial analysis of gene expression (SAGE) is a powerful strategy for the quantitative analysis of gene expression in human genetic disorders. SAGE facilitates the measurement of mRNA transcripts and generates a non-biased gene expression profile of normal and pathological disease tissue. In addition, the SAGE technique has the capacity of detecting the expression of novel transcripts allowing for the identification of previously uncharacterised genes, thus providing a unique advantage over the traditional microarray-based approach for expression profiling. The technique has been successful in providing pathological gene expression profiles in a number of common genetic disorders including diabetes, cardiovascular disease, Parkinson disease and Down syndrome. When combined with next generation sequencing platforms, SAGE has the potential to become a more powerful and sensitive technique making it more amenable for diagnostic use. This review will therefore discuss the application of SAGE to several common genetic disorders and will further evaluate its potential use in diagnosing human genetic disease.
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Expression of the diabetes risk gene wolframin (WFS1) in the human retina. Exp Eye Res 2009; 89:568-74. [PMID: 19523951 DOI: 10.1016/j.exer.2009.05.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2009] [Revised: 05/26/2009] [Accepted: 05/27/2009] [Indexed: 11/21/2022]
Abstract
Wolfram syndrome 1 (WFS1, OMIM 222300), a rare genetic disorder characterized by optic nerve atrophy, deafness, diabetes insipidus and diabetes mellitus, is caused by mutations of WFS1, encoding WFS1/wolframin. Non-syndromic WFS1 variants are associated with the risk of diabetes mellitus due to altered function of wolframin in pancreatic islet cells, expanding the importance of wolframin. This study extends a previous report for the monkey retina, using immunohistochemistry to localize wolframin on cryostat and paraffin sections of human retina. In addition, the human retinal pigment epithelial (RPE) cell line termed ARPE-19 and retinas from both pigmented and albino mice were studied to assess wolframin localization. In the human retina, wolframin was expressed in retinal ganglion cells, optic axons and the proximal optic nerve. Wolframin expression in the human retinal pigment epithelium (RPE) was confirmed with intense cytoplasmic labeling in ARPE-19 cells. Strong labeling of the RPE was also found in the albino mouse retina. Cryostat sections of the mouse retina showed a more extended pattern of wolframin labeling, including the inner nuclear layer (INL) and photoreceptor inner segments, confirming the recent report of Kawano et al. [Kawano, J., Tanizawa, Y., Shinoda, K., 2008. Wolfram syndrome 1 (Wfs1) gene expression in the normal mouse visual system. J. Comp. Neurol. 510, 1-23]. Absence of these cells in the human specimens despite the use of human-specific antibodies to wolframin may be related to delayed fixation. Loss of wolframin function in RGCs and the unmyelinated portion of retinal axons could explain optic nerve atrophy in Wolfram Syndrome 1.
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Wojciechowski R, Stambolian D, Ciner E, Ibay G, Holmes TN, Bailey-Wilson JE. Genomewide linkage scans for ocular refraction and meta-analysis of four populations in the Myopia Family Study. Invest Ophthalmol Vis Sci 2009; 50:2024-32. [PMID: 19151385 PMCID: PMC2885973 DOI: 10.1167/iovs.08-2848] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
PURPOSE Genomewide linkage scans were performed in Caucasian (CAUC) and Old Order Amish (OOA) families to identify genomic regions containing genes responsible for refractive error control. We also performed a meta-analysis by combining these results with our previous linkage results from Ashkenazi Jewish (ASHK) and African American (AFRAM) families. METHODS Two hundred seventy-one CAUC and 411 OOA participants (36 and 61 families, respectively) were recruited to participate in the Myopia Family Study. Recruitment criteria were designed to enrich the sample for multiplex myopic families. Genomewide, model-free, multipoint linkage analyses were performed separately for each population by using >370 microsatellite markers. Empirical significance levels were determined via gene-dropping simulations. A meta-analysis was performed by combining linkage results from the CAUC, OOA, AFRAM, and ASHK samples, and results were compared to previously reported loci for myopia and refraction. RESULTS Suggestive evidence of linkage was found at 12q24 (LOD = 4.583, P = 0.00037) and 4q21 (LOD = 2.72, P = 0.0028) in the CAUC sample and at 5qter (LOD = 3.271, P = 0.0014) in the OOA. Meta-analysis linkage results were largely driven by population-specific signals from ASHK and AFRAM families. The meta-analysis showed suggestive evidence of linkage to 4q21-22 (meta-P = 0.00214) adjacent to the previously reported MYP9 and MYP11 loci. CONCLUSIONS The results showed suggestive evidence of linkage of ocular refraction to 12q24 and 4q21 in CAUC and to 5qter in OOA families. The meta-analysis supports the view that several genes play a role in refractive development across populations. In MFS families, four broad genomic regions (on 1p, 4q, 7p, and 12q) most likely contain genes that influence ocular refraction.
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Affiliation(s)
- Robert Wojciechowski
- Inherited Disease Research Branch, National Human Genome Research Institute, Baltimore, Maryland 21231, USA.
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