Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes.
Vincent Laville, Jae H Kang, Clara C Cousins, Adriana I Iglesias, Réka Nagy, Bailey Jessica N Cooke, Robert P Igo, Yeunjoo E Song, Daniel I Chasman, William G Christen, Peter Kraft, Bernard A Rosner, Frank Hu, James F Wilson, Puya Gharahkhani, Alex W Hewitt, David A Mackey, Pirro G Hysi, Christopher J Hammond, Cornelia M vanDuijn, Jonathan L Haines, Veronique Vitart, John H Fingert, Michael A Hauser, Hugues Aschard, Janey L Wiggs, Anthony P Khawaja, Stuart MacGregor, Louis R Pasquale
Summary
These analyses suggest that there is limited genetic correlation between diabetes- and glaucoma-related traits.
Abstract
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 (r) 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 rbetween diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (r = -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 (r≥ 0.45; P ≤ 3.0 × 10) and between CDR and POAG were high (r = 0.57; P = 2.8 × 10). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (rrange -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.
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Discussion
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