195
Views
14
CrossRef citations to date
0
Altmetric
Research Reports

Confirmation of the association between the TCF4 risk allele and Fuchs endothelial corneal dystrophy in patients from the Midwestern United States

, , , , , , & show all
Pages 32-34 | Received 02 Aug 2012, Accepted 26 Aug 2012, Published online: 24 Sep 2012
 

Abstract

Purpose: To determine the role of the single nucleotide polymorphism (SNP) (rs613872) in the TCF4 gene in Fuchs endothelial corneal dystrophy (FECD) in patients from Iowa.

Methods: A cohort of 82 patients with FECD and 163 normal control subjects from Iowa were genotyped at the SNP rs613872 using a real-time allelic discrimination assay.

Results: The frequencies of the alleles of rs613872 were compared between FECD patients and control subjects. A highly significant association (p-value = 2.96 × 10−10) was detected between this SNP and FECD. Comparison of the genotypes of SNP rs613872 between FECD patients and control subjects produced a p-value of 2.43 × 10−10.

Conclusion: Prior reports have shown that SNP rs613872 in the TCF4 gene is highly associated with FECD. Our study confirms this association and shows that the TCF4 gene has an important role in the pathogenesis of corneal disease in patients from Iowa.

ACKNOWLEDGMENTS

This research was supported in part by the Beulah and Florence Usher Endowment.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 691.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.