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DOI 10.1016/j.ajo.2019.05.015

Медицинская библиотека · American journal of ophthalmology · 2019

Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes.

Laville Vincent, Kang Jae H, Cousins Clara C, Iglesias Adriana I, Nagy Réka, Cooke Bailey Jessica N, Igo Robert P, Song Yeunjoo E, Chasman Daniel I, Christen William G, Kraft Peter, Rosner Bernard A, Hu Frank, Wilson James F, Gharahkhani Puya, Hewitt Alex W, Mackey David A, Hysi Pirro G, Hammond Christopher J, vanDuijn Cornelia M, Haines Jonathan L, Vitart Veronique, Fingert John H, Hauser Michael A, Aschard Hugues, Wiggs Janey L, Khawaja Anthony P, MacGregor Stuart, Pasquale Louis R, UK Biobank, International Glaucoma Genetics Consortium, NEIGHBORHOOD Consortium

СтатьяМногоцентровое исследованиеПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

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.

Для цитирования: Laville Vincent, Kang Jae H, Cousins Clara C, Iglesias Adriana I, Nagy Réka, Cooke Bailey Jessica N, Igo Robert P, Song Yeunjoo E, Chasman Daniel I, Christen William G, Kraft Peter, Rosner Bernard A, Hu Frank, Wilson James F, Gharahkhani Puya, Hewitt Alex W, Mackey David A, Hysi Pirro G, Hammond Christopher J, vanDuijn Cornelia M, Haines Jonathan L, Vitart Veronique, Fingert John H, Hauser Michael A, Aschard Hugues, Wiggs Janey L, Khawaja Anthony P, MacGregor Stuart, Pasquale Louis R, 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. 2019. DOI: 10.1016/j.ajo.2019.05.015.

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