Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes
| العنوان: | Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes |
|---|---|
| المؤلفون: | Janey L. Wiggs, C.M. vanDuijn, Vincent Laville, Adriana I Iglesias, Daniel I. Chasman, Bernard Rosner, Jessica N. Cooke Bailey, James F. Wilson, Michael A. Hauser, Jae H. Kang, William G. Christen, Christopher J Hammond, Hugues Aschard, Puya Gharahkhani, John H. Fingert, Alex W. Hewitt, Stuart MacGregor, Frank B. Hu, Peter Kraft, Louis R. Pasquale, Robert P. Igo, Yeunjoo E. Song, David A. Mackey, Pirro G. Hysi, Jonathan L. Haines, UK Biobank, Anthony P Khawaja, Clara C. Cousins, Reka Nagy, Veronique Vitart |
| المساهمون: | Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Edinburgh, Case Western Reserve University [Cleveland], Harvard T.H. Chan School of Public Health, QIMR Berghofer Medical Research Institute, University of Melbourne, University of Tasmania [Hobart, Australia] (UTAS), The University of Western Australia (UWA), King‘s College London, University of Oxford [Oxford], University of Iowa [Iowa City], Duke University [Durham], University of Cambridge [UK] (CAM), Icahn School of Medicine at Mount Sinai [New York] (MSSM), The Orkney Complex Disease Study was supported by the Chief Scientist Office of the Scottish Government (CZB/4/276, CZB/4/710), a Royal Society URF to Dr Wilson, the MRC Human Genetics Unit quinquennial programme 'QTL in Health and Disease,' Arthritis Research UK, and the European Union framework program 6 EUROSPAN project (contract no. LSHG-CT-2006-018947)., The Viking Health Study – Shetland (VIKING) was supported by the MRC Human Genetics Unit quinquennial programme grant 'QTL in Health and Disease.', European Project: 35103,EUROSPAN, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Oxford, Clinical Genetics, Ophthalmology |
| المصدر: | American Journal of Ophthalmology American Journal of Ophthalmology, Elsevier Masson, 2019, 206, pp.245-255. ⟨10.1016/j.ajo.2019.05.015⟩ American Journal of Ophthalmology, 2019, 206, pp.245-255. ⟨10.1016/j.ajo.2019.05.015⟩ American Journal of Ophthalmology, 206, 245-255. Elsevier Inc. Am J Ophthalmol Laville, V, Kang, J H, Cousins, C, Iglesias, A I, Nagy, R, Cooke Bailey, J N, Igo, R P, Song, Y E, Chasman, D I, Christen, W, Kraft, P & Wilson, J F & Vitart, V 2019, ' Genetic correlations between diabetes and glaucoma: an analysis of continuous and dichotomous phenotypes ', American journal of ophthalmology . https://doi.org/10.1016/j.ajo.2019.05.015Test |
| بيانات النشر: | HAL CCSD, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Male, Linkage disequilibrium, genetic structures, Glaucoma, Genome-wide association study, Type 2 diabetes, 0302 clinical medicine, MESH: Aged, 80 and over, MESH: Incidence, Aged, 80 and over, 2. Zero hunger, MESH: Aged, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, Incidence, MESH: Tonometry, Ocular, Middle Aged, Pedigree, 3. Good health, Europe, Phenotype, MESH: Young Adult, Female, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Glaucoma, Open-Angle, MESH: Diabetes Mellitus, Type 2, Adult, medicine.medical_specialty, Adolescent, MESH: Pedigree, Biology, MESH: Phenotype, Genetic correlation, Article, Tonometry, Ocular, Young Adult, 03 medical and health sciences, MESH: Cross-Sectional Studies, SDG 3 - Good Health and Well-being, MESH: Intraocular Pressure, Genetic linkage, Ophthalmology, medicine, MESH: United States, Humans, Intraocular Pressure, Aged, 030304 developmental biology, MESH: Adolescent, MESH: Humans, MESH: Adult, Heritability, medicine.disease, United States, Human genetics, eye diseases, MESH: Male, Cross-Sectional Studies, Diabetes Mellitus, Type 2, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, MESH: Genome-Wide Association Study, 030221 ophthalmology & optometry, MESH: Glaucoma, Open-Angle, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, sense organs, MESH: Europe, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Female, Genome-Wide Association Study |
| الوصف: | Purpose A genetic correlation is the proportion of phenotypic variance between traits that is shared on a genetic basis. Here we explore genetic correlations between diabetes- and glaucoma-related traits. Design Cross-sectional study. Methods We assembled genome-wide association study summary statistics from European-derived participants regarding diabetes-related traits like fasting blood sugar (FBS) and type 2 diabetes (T2D) and glaucoma-related traits (intraocular pressure [IOP], central corneal thickness [CCT], corneal hysteresis [CH], corneal resistance factor [CRF], cup-to-disc ratio [CDR], and primary open-angle glaucoma [POAG]). We included data from the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database, the UK Biobank, and the International Glaucoma Genetics Consortium. We calculated genetic correlation (rg) between traits using linkage disequilibrium score regression. We also calculated genetic correlations between IOP, CCT, and select diabetes-related traits based on individual level phenotype data in 2 Northern European population-based samples using pedigree information and Sequential Oligogenic Linkage Analysis Routines. Results Overall, there was little rg between diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (rg = −0.14; P = .16). Using Sequential Oligogenic Linkage Analysis Routines, the genetic correlations between measured IOP, CCT, FBS, fasting insulin, and hemoglobin A1c were null. In contrast, genetic correlations between IOP and POAG (rg ≥ 0.45; P ≤ 3.0 × 10−4) and between CDR and POAG were high (rg = 0.57; P = 2.8 × 10−10). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (rg range −0.18 to 0.11) and nonsignificant (P ≥ .07). Conclusion These analyses suggest that there is limited genetic correlation between diabetes- and glaucoma-related traits. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 0002-9394 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f37eb2ae4c5d9cebd21d3aa695a2b922Test https://hal-pasteur.archives-ouvertes.fr/pasteur-03278624Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....f37eb2ae4c5d9cebd21d3aa695a2b922 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00029394 |
|---|