1. Clinical implications of old and new genes for open-angle glaucoma.
- Author
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Ramdas WD, van Koolwijk LM, Cree AJ, Janssens AC, Amin N, de Jong PT, Wolfs RC, Gibson J, Kirwan JF, Hofman A, Rivadeneira F, Oostra BA, Uitterlinden AG, Ennis S, Lotery AJ, Lemij HG, Klaver CC, Vingerling JR, Jansonius NM, and van Duijn CM
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Alleles, Area Under Curve, Basic Helix-Loop-Helix Transcription Factors genetics, Case-Control Studies, Cell Cycle Proteins, Cyclin-Dependent Kinase Inhibitor p15 genetics, Cytoskeletal Proteins genetics, Female, Genome-Wide Association Study, Genotype, Genotyping Techniques, Glaucoma, Open-Angle diagnosis, Glycoproteins genetics, Homeodomain Proteins genetics, Humans, Intraocular Pressure genetics, Male, Membrane Transport Proteins, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Prospective Studies, ROC Curve, Risk Factors, Transcription Factor TFIIIA genetics, Visual Acuity physiology, Eye Proteins genetics, Genetic Predisposition to Disease genetics, Glaucoma, Open-Angle genetics
- Abstract
Objective: Genome-wide association studies have revealed new insights into the genetic determinants of open-angle glaucoma (OAG). This study was performed to determine to what extent variants within established genes (MYOC, OPTN, and WDR36) and newly identified common genetic variants (ATOH7, CDKN2B, and SIX1) contribute to the risk of OAG., Design: Population-based setting, family-based setting, and a case-control study., Participants: The Rotterdam Study I cohort (N = 5312; mean age±standard deviation [SD], 68.0±8.4 years). Findings were replicated in the Genetic Research in Isolated Populations combined with the Erasmus Rucphen Family study (N = 1750; mean age±SD, 48.3±15.2 years), and a cohort from Southampton (N = 702; mean age±SD, 72.5±10.7 years)., Methods: After identifying common variants associated with OAG within the established genes, the risk of OAG was analyzed using logistic regression. Discriminative accuracy was assessed by comparing the area under the receiver operator characteristic curve (AUC) for models, including the number of risk alleles, intraocular pressure, age, and gender, with the AUC for the same model but without the risk alleles., Main Outcome Measures: Odds ratios and AUCs of individual and combined risk alleles., Results: No consistent significant associations for the established genes (MYOC, OPTN, and WDR36) with OAG were found. However, when comparing the load of risk variants between cases and controls, 2 of 3 studies showed a significant increased risk of OAG for participants carrying more risk alleles of the 3 established genes. When combining all 6 genes, participants carrying a high number of risk alleles (highest tertile) had a 2.29-fold to 3.19-fold increase in risk of OAG compared with those carrying only a few risk alleles. The addition of the newly identified genes to IOP, age, and gender resulted in a higher AUC compared with the AUC without the newly identified genes (P = 0.027)., Conclusions: A significant contribution to the risk of OAG was found for the new common variants identified by recent genome-wide association studies, but not for variants within the established genes. Participants carrying a high number of risk alleles had an approximately 3-fold increase in the risk of OAG compared with those with a low number of risk alleles., Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article., (Copyright © 2011 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.)
- Published
- 2011
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