Laville, V and Kang, JH and Cousins, CC and Iglesias, AI and Nagy, R and Cooke Bailey, JN and Igo Jr, RP and Song, YE and Chasman, DI and Christen, WG and Kraft, P and Rosner, BA and Hu, F and Wilson, JF and Gharahkhani, P and Hewitt, AW and Mackey, DA and Hysi, PG and Hammond, CJ and vanDuijn, CM and Haines, JL and Vitart, V and Fingert, JH and Hauser, MA and Aschard, H and Wiggs, JL and Khawaja, AP and MacGregor, S and Pasquale, LR, UK Biobank, International Glaucoma Genetics Consortium, NEIGHBORHOOD Consortium, Genetic correlations between diabetes and glaucoma: an analysis of continuous and dichotomous phenotypes, American Journal of Ophthalmology pp. 1-21. ISSN 0002-9394 (2019) [Refereed Article]
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-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 selected diabetes-related traits based on individual level phenotype data in two Northern European population-based samples using pedigree information and Sequential Oligogenic Linkage Analysis Routines (SOLAR).
Results: Overall, there was little rg between diabetes- and glaucoma-related traits. Specifically, we found a non-significant negative correlation between T2D and POAG (rg=-0.14; p=0.16). Using SOLAR, 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≤3.0E-04) and between CDR and POAG were high (rg =0.57; p=2.8E-10). However, genetic correlations between corneal properties (CCT, CRF and CH) and POAG were low (rg range: -0.18 - 0.11) and non-significant (p≥0.07).
Conclusion: These analyses suggest there is limited genetic correlation between diabetes- and glaucoma-related traits.
|Item Type:||Refereed Article|
|Research Division:||Medical and Health Sciences|
|Research Group:||Ophthalmology and Optometry|
|Objective Group:||Clinical Health (Organs, Diseases and Abnormal Conditions)|
|Objective Field:||Hearing, Vision, Speech and Their Disorders|
|UTAS Author:||Hewitt, AW (Professor Alex Hewitt)|
|Deposited By:||Menzies Institute for Medical Research|
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