March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
Replication Analysis for Severe Diabetic Retinopathy
Author Affiliations & Notes
  • Michael A. Grassi
    Ophthalmology and Visual Sciences,
    University of Illinois at Chicago, Chicago, Illinois
  • Anna Tikhomirov
    Genetic Medicine, University of Chicago, Chicago, Illinois
  • Sudha Ramalingam
    Community Medicine & PSG Center for Molecular Medicine and Therapeutics, PSG Institute of Medical Sciences and Research, Coimbatore, India
  • Kristine E. Lee
    Ophthalmology & Visual Sciences, University of Wisconsin-Madison, Madison, Wisconsin
  • Barbara E. Klein
    Ophthalmology & Visual Sciences, University of Wisconsin-Madison, Madison, Wisconsin
  • Ronald Klein
    Ophthalmology & Visual Sciences, University of Wisconsin-Madison, Madison, Wisconsin
  • Yves Lussier
    General Internal Medicine,
    University of Illinois at Chicago, Chicago, Illinois
    Genetic Medicine, University of Chicago, Chicago, Illinois
  • Nancy J. Cox
    Genetic Medicine, University of Chicago, Chicago, Illinois
  • Dan L. Nicolae
    Genetic Medicine, University of Chicago, Chicago, Illinois
  • Footnotes
    Commercial Relationships  Michael A. Grassi, None; Anna Tikhomirov, None; Sudha Ramalingam, None; Kristine E. Lee, None; Barbara E. Klein, None; Ronald Klein, None; Yves Lussier, None; Nancy J. Cox, None; Dan L. Nicolae, None
  • Footnotes
    Support  NIH: EY019089-02, DK077489, EY03083, EY016379; Diabetes Research and Training Center Grant P60 DK020595-32; ISPB; Fight for Sight; OneSight; NEI Core Grant EY001792, Research to Prevent Blindness.
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 3330. doi:
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      Michael A. Grassi, Anna Tikhomirov, Sudha Ramalingam, Kristine E. Lee, Barbara E. Klein, Ronald Klein, Yves Lussier, Nancy J. Cox, Dan L. Nicolae; Replication Analysis for Severe Diabetic Retinopathy. Invest. Ophthalmol. Vis. Sci. 2012;53(14):3330.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: : The purpose of this study is to attempt to replicate the top single nucleotide polymorphism (SNP) associations from a previous genome-wide association study (GWAS) for the sight threatening complications of diabetic retinopathy in an independent cohort of diabetic subjects from the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR).

Methods: : This study included 505 type 1 diabetic, Caucasian subjects from WESDR. Cases (n=220) were defined by prior laser treatment for either proliferative diabetic retinopathy or diabetic macular edema. Controls (n=285) were all other subjects in the cohort. 391 SNPs were tested for association using the IlluminaTM GoldenGateTM custom array. A retinopathy only sub-analysis was conducted by removing all subjects with end-stage renal disease. Evaluation for association between cases and controls was conducted by using Chi-square tests. A meta-analysis combined the results from WESDR with the prior GWAS.

Results: : No associations were significant at a genome-wide level. The analysis did identify SNPs that can be pursued in future replication studies. The top association was at rs4865047, an intronic SNP, in the gene CEP135 (p-value 2.06x10-5). The top association from the sub-analysis was at rs1902491 (p-value 2.81x10-5), a SNP that sits upstream of the gene NPY2R.

Conclusions: : This study nominates several novel genetic loci that may be associated with severe diabetic retinopathy. In order to confirm these findings, replication and extension in additional cohorts will be necessary as susceptibility alleles for diabetic retinopathy appear to be of modest effect.

Keywords: diabetic retinopathy • genetics 
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