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 (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.
| Original language | English |
|---|---|
| Pages (from-to) | 245-255 |
| Number of pages | 11 |
| Journal | American Journal of Ophthalmology |
| Volume | 206 |
| DOIs | |
| Publication status | Published - 1 Oct 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes'. Together they form a unique fingerprint.Projects
- 2 Finished
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Translating Genetic Determinants of Glaucoma into Better Diagnosis and Treatment
Craig, J. (Investigator 01), Mackey, D. (Investigator 02), MacGregor, S. (Investigator 03) & Hewitt, A. (Investigator 04)
NHMRC National Health and Medical Research Council
1/01/19 → 31/12/24
Project: Research
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From discovery to therapy in genetic eye diseases
Mackey, D. (Investigator 01), Craig, J. (Investigator 02), Hewitt, A. (Investigator 03), Burdon, K. (Investigator 04), Jamieson, R. (Investigator 05), Grigg, J. (Investigator 06), MacGregor, S. (Investigator 07), Chen, F. (Investigator 08), Otlowski, M. (Investigator 09) & Schofield, D. (Investigator 10)
NHMRC National Health and Medical Research Council
1/01/16 → 31/12/20
Project: Research
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