Journal
AMERICAN JOURNAL OF OPHTHALMOLOGY
Volume 206, Issue -, Pages 245-255Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ajo.2019.05.015
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Funding
- National Eye Institute [EY015473, P30 EY014104, EY022305]
- Moorfields Eye Charity Career Development Fellowship
- Australian Research Council Fellowship
- Australian National Health and Medical Research Council [1150144, 1116360]
- National Health and Medical Research Council of Australia [1150144, 1116360] Funding Source: NHMRC
- MRC [MC_UU_00007/10] Funding Source: UKRI
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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(g)) 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 r g between diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (r(g) = -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(g) >= 0.45; P <= 3.0 x 10(-4)) and between CDR and POAG were high (r(g) = 0.57; P = 2.8 x 10(-10)). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (r(g) 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. (C) 2019 Elsevier Inc. All rights reserved.
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