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Li X, Bykhovskaya Y, Canedo ALaura Caia, Haritunians T, Siscovick D, Aldave AJ, Szczotka-Flynn L, Iyengar SK, Rotter JI, Taylor KD, et al. Genetic association of COL5A1 variants in keratoconus patients suggests a complex connection between corneal thinning and keratoconus. Invest Ophthalmol Vis Sci. 2013 ;54(4):2696-704.
Sim X, Jensen RA, M Ikram K, Cotch MFrances, Li X, Macgregor S, Xie J, Smith AVernon, Boerwinkle E, Mitchell P, et al. Genetic loci for retinal arteriolar microcirculation. PLoS One. 2013 ;8(6):e65804.
Sobrin L, Chong YHe, Fan Q, Gan A, Stanwyck LK, Kaidonis G, Craig JE, Kim J, Liao W-L, Huang Y-C, et al. Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study. Diabetes. 2017 ;66(12):3130-3141.
Ligthart S, Vaez A, Võsa U, Stathopoulou MG, de Vries PS, Prins BP, van der Most PJ, Tanaka T, Naderi E, Rose LM, et al. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. Am J Hum Genet. 2018 ;103(5):691-706.
Li X, Bykhovskaya Y, Haritunians T, Siscovick D, Aldave A, Szczotka-Flynn L, Iyengar SK, Rotter JI, Taylor KD, Rabinowitz YS. A genome-wide association study identifies a potential novel gene locus for keratoconus, one of the commonest causes for corneal transplantation in developed countries. Hum Mol Genet. 2012 ;21(2):421-9.
Irvin MR, Sitlani CM, Floyd JS, Psaty BM, Bis JC, Wiggins KL, Whitsel EA, Stürmer T, Stewart J, Raffield L, et al. Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group. Am J Hypertens. 2019 ;32(12):1146-1153.
Jensen RA, Sim X, Li X, Cotch MFrances, M Ikram K, Holliday EG, Eiriksdottir G, Harris TB, Jonasson F, Klein BEK, et al. Genome-wide association study of retinopathy in individuals without diabetes. PLoS One. 2013 ;8(2):e54232.
Noordam R, Sitlani CM, Avery CL, Stewart JD, Gogarten SM, Wiggins KL, Trompet S, Warren HR, Sun F, Evans DS, et al. A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium. J Med Genet. 2017 ;54(5):313-323.

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