Genome-Wide Association Study of Retinopathy in Individuals without Diabetes

Richard A. Jensen(University of Washington), Xueling Sim(National University of Singapore), Xiaohui Li(Cedars-Sinai Medical Center), Mary Frances Cotch(National Institutes of Health), M. Kamran Ikram(Singapore National Eye Center), Elizabeth G. Holliday(University of Newcastle Australia), Guðný Eiríksdóttir(Icelandic Heart Association), Tamara B. Harris(National Institutes of Health), Friðbert Jónasson(University of Iceland), Ronald Klein(University of Wisconsin–Madison), Lenore J. Launer(National Institutes of Health), Albert V. Smith(University of Iceland), Eric Boerwinkle(The University of Texas Health Science Center at Houston), Ning Cheung(The University of Melbourne), Alex W. Hewitt(The University of Melbourne), Gerald Liew(The University of Sydney), Paul Mitchell(The University of Sydney), Jie Jin Wang(The University of Sydney), John Attia(John Hunter Hospital), Rodney J. Scott(University of Newcastle Australia), Nicole L. Glazer(Boston University), Thomas Lumley(University of Auckland), Barbara McKnight(University of Washington), Bruce M. Psaty(Group Health Cooperative), Kent D. Taylor(Cedars-Sinai Medical Center), Albert Hofman(Erasmus MC), Paulus T. V. M. de Jong(Netherlands Institute for Neuroscience), Fernando Rivadeneira(Erasmus MC), André G. Uitterlinden(Erasmus MC), Wan-Ting Tay(Singapore National Eye Center), Yik Ying Teo(Agency for Science, Technology and Research), Mark Seielstad(University of California, San Francisco), Jianjun Liu(Agency for Science, Technology and Research), Ching‐Yu Cheng(National University of Singapore), Seang‐Mei Saw(National University of Singapore), Tin Aung(National University of Singapore), Santhi K. Ganesh(Michigan United), Christopher J. O’Donnell(Harvard University), Mike A. Nalls(National Institutes of Health), Kerri L. Wiggins(University of Washington), Jane Z. Kuo(Cedars-Sinai Medical Center), The Blue Mountains Eye Study GWAS team(Erasmus MC), Cornelia M. van Duijn(University of Iceland), Vilmundur Guðnason(University of Wisconsin–Madison), Ronald Klein(University of Wisconsin–Madison), David S. Siscovick(Cedars-Sinai Medical Center), Jerome I. Rotter(Cedars-Sinai Medical Center), Eric Tai(National University of Singapore), Johannes Vingerling(The University of Melbourne), Tien Yin Wong(The University of Melbourne)
PLoS ONE
February 5, 2013
Cited by 761Open Access
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Abstract

BACKGROUND: Mild retinopathy (microaneurysms or dot-blot hemorrhages) is observed in persons without diabetes or hypertension and may reflect microvascular disease in other organs. We conducted a genome-wide association study (GWAS) of mild retinopathy in persons without diabetes. METHODS: A working group agreed on phenotype harmonization, covariate selection and analytic plans for within-cohort GWAS. An inverse-variance weighted fixed effects meta-analysis was performed with GWAS results from six cohorts of 19,411 Caucasians. The primary analysis included individuals without diabetes and secondary analyses were stratified by hypertension status. We also singled out the results from single nucleotide polymorphisms (SNPs) previously shown to be associated with diabetes and hypertension, the two most common causes of retinopathy. RESULTS: No SNPs reached genome-wide significance in the primary analysis or the secondary analysis of participants with hypertension. SNP, rs12155400, in the histone deacetylase 9 gene (HDAC9) on chromosome 7, was associated with retinopathy in analysis of participants without hypertension, -1.3±0.23 (beta ± standard error), p = 6.6×10(-9). Evidence suggests this was a false positive finding. The minor allele frequency was low (∼2%), the quality of the imputation was moderate (r(2) ∼0.7), and no other common variants in the HDAC9 gene were associated with the outcome. SNPs found to be associated with diabetes and hypertension in other GWAS were not associated with retinopathy in persons without diabetes or in subgroups with or without hypertension. CONCLUSIONS: This GWAS of retinopathy in individuals without diabetes showed little evidence of genetic associations. Further studies are needed to identify genes associated with these signs in order to help unravel novel pathways and determinants of microvascular diseases.


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