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      Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma

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          Abstract

          Glaucoma is the leading cause of irreversible blindness globally. 1 Despite its gravity, the disease is frequently undiagnosed in the community. 2 Raised intraocular pressure (IOP) is the most important risk factor for primary open-angle glaucoma (POAG). 3, 4 Here we present a meta-analysis of 139,555 European participants that identified 112 genomic loci associated with IOP, 68 of which are novel. These loci suggest a strong role for angiopoietin-receptor tyrosine kinase signaling, lipid metabolism, mitochondrial function and developmental processes underlying risk for elevated IOP. In addition, 48 of these loci were associated with glaucoma in an independent cohort, 14 of which at a Bonferroni-corrected threshold. Regression-based glaucoma prediction models had an area under Receiving Operator Characteristic curve (AUROC) of 0.76 in USA NEIGHBORHOOD study participants and 0.74 in independent glaucoma cases from UK Biobank. Genetic prediction models for POAG offer an opportunity to target screening and timely therapy to individuals most at risk.

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          Most cited references42

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Determining in vivo biomechanical properties of the cornea with an ocular response analyzer.

            David Luce (2005)
            To study the results of an ocular response analyzer (ORA) to determine the biomechanical properties of the cornea and their relationship to intraocular pressure (IOP). Reichert Inc., Depew, New York, USA. The ORA (Reichert) makes 2 essentially instantaneous applanation measurements that permit determination of corneal and IOP effects. Measurements of several populations indicate that corneal hysteresis, a biomechanical measure, varied over a dynamic range of 1.8 to 14.6 mm Hg and was only weakly correlated with corneal thickness (r(2)=0.12); this is related to the observation that some subjects with relatively thick corneas have less-than-average corneal hysteresis. Corneal hysteresis changes diurnally, presumably as a result of hydration changes. Keratoconus, Fuchs' dystrophy, and post-LASIK patients demonstrated low corneal hysteresis. The corneal hysteresis biomechanical measure may prove valuable for qualification and predictions of outcomes of refractive surgery and in other cases in which corneal biomechanics are important.
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              Is Open Access

              Latanoprost for open-angle glaucoma (UKGTS): a randomised, multicentre, placebo-controlled trial.

              Treatments for open-angle glaucoma aim to prevent vision loss through lowering of intraocular pressure, but to our knowledge no placebo-controlled trials have assessed visual function preservation, and the observation periods of previous (unmasked) trials have typically been at least 5 years. We assessed vision preservation in patients given latanoprost compared with those given placebo.
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                Author and article information

                Journal
                9216904
                2419
                Nat Genet
                Nat. Genet.
                Nature genetics
                1061-4036
                1546-1718
                5 April 2018
                21 May 2018
                June 2018
                21 November 2018
                : 50
                : 6
                : 778-782
                Affiliations
                [1 ]NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
                [2 ]Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
                [3 ]Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
                [4 ]MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
                [5 ]Department of Ophthalmology, King's College London, St. Thomas' Hospital, London, United Kingdom
                [6 ]Department of Twin Research & Genetic Epidemiology, King's College London, St. Thomas' Hospital, London, United Kingdom
                [7 ]Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
                [8 ]Johns Hopkins Wilmer Eye Institute, Baltimore, Maryland, USA
                [9 ]Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
                [10 ]Department of Ophthalmology, National University of Singapore and National University Health System, Singapore
                [11 ]The Ophthalmology & Visual Sciences Academic Clinical Program (Eye-ACP), Duke-NUS Medical School, Singapore
                [12 ]Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts, USA
                [13 ]Division of Genetics and Epidemiology, UCL Institute of Ophthalmology, London, United Kingdom
                Author notes
                Corresponding authors’ email addresses: Pirro G Hysi: pirro.hysi@ 123456kcl.ac.uk , Chris J Hammond: chris.hammond@ 123456kcl.ac.uk , Janey L Wiggs: janey_Wiggs@ 123456meei.harvard.edu
                [†]

                These authors jointly directed this work and are joint corresponding authors

                Article
                EMS76895
                10.1038/s41588-018-0126-8
                5985943
                29785010
                01609b37-3491-488e-ab55-33a26345ef0d

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                Genetics
                Genetics

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