April 2014
Volume 55, Issue 13
Jump To...
Free
ARVO Annual Meeting Abstract  |   April 2014
Risk Prediction for Age-Related Macular Degeneration Using Genetic and Environmental Factors
Frances Wu; Ling Zhao; Wenting Wu; Hongrong Luo; Cindy Wen; Nicole Sfeir; Sherrina Patel; Henry Alexander Ferreyra; Michael Henry Goldbaum; Kang Zhang
Author Affiliations & Notes
  • Frances Wu
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
    Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
  • Ling Zhao
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
    Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
  • Wenting Wu
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
    Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
  • Hongrong Luo
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
    Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
  • Cindy Wen
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
    Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
  • Nicole Sfeir
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
    Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
  • Sherrina Patel
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
    Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
  • Henry Alexander Ferreyra
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
  • Michael Henry Goldbaum
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
  • Kang Zhang
    Department of Ophthalmology and Shiley Eye Center, University of California, San Diego, La Jolla, CA
    Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA
  • Footnotes
    Commercial Relationships Frances Wu, None; Ling Zhao, None; Wenting Wu, None; Hongrong Luo, None; Cindy Wen, None; Nicole Sfeir, None; Sherrina Patel, None; Henry Ferreyra, None; Michael Goldbaum, None; Kang Zhang, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 2232. doi:
  • Views
  • Share
  • Tools
    • Alerts
      User Alerts
      You are adding an alert for:
      Risk Prediction for Age-Related Macular Degeneration Using Genetic and Environmental Factors
      You will receive an email whenever this article is corrected, updated, or cited in the literature. You can manage this and all other alerts in My Account
      The alert will be sent to:
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation
      Citation

      Frances Wu, Ling Zhao, Wenting Wu, Hongrong Luo, Cindy Wen, Nicole Sfeir, Sherrina Patel, Henry Alexander Ferreyra, Michael Henry Goldbaum, Kang Zhang; Risk Prediction for Age-Related Macular Degeneration Using Genetic and Environmental Factors. Invest. Ophthalmol. Vis. Sci. 2014;55(13):2232.

      Download citation file:

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

      ×
    • Get Permissions
  • Supplements
Abstract
 
Purpose
 

To determine the individual and composite effects of genetic factors and smoking on the development of age-related macular degeneration (AMD), including the early form of AMD, which is characterized by the presence of confluent drusen in the retina, as well as the advanced forms of AMD, which include geographic atrophy (GA) and choroidal neovascularization (CNV).

 
Methods
 

DNA samples from 522 patients without AMD, 239 patients with confluent drusen, 271 patients with GA, and 1159 patients with CNV were analyzed for four genetic variants known to be associated with advanced AMD. Patients were also asked about their smoking status. Logistic regression was performed to generate a predictive model for AMD risk, and odds ratios were calculated based on individual and composite factors.

 
Results
 

Odds ratios (ORs) for CNV were 5.26 (95% CI: 3.51-8.13) for HTRA1/ARMS2 rs10490924 TT, 2.15 (95% CI: 1.41-3.28) for CFH rs1061170 CC, 3.71 (95% CI: 2.31-6.00) for CFH rs2274700 CC, and 1.33 (95% CI: 1.05-1.68) for C3 rs2330199 CG when compared to individual reference genotypes. Smoking status alone was associated with an OR for CNV of 1.55 (95% CI: 1.24-1.95). ORs for GA were 3.85 (95% CI: 2.21-6.79) for HTRA1/ARMS2 rs10490924 TT, 1.89 (95% CI: 1.07-3.38) for CFH rs1061170 CC, 6.83 (95% CI: 3.10-16.21) for CFH rs2274700 CC, and 2.97 (95% CI: 1.61-5.52) for C3 rs2330199 GG when compared to individual reference genotypes. Smoking status alone was not associated with an increased risk of GA. The composite effect of all four genotypes combined with smoking was significant for CNV (p < 2*10-16), GA (p < 2*10-16) and drusen (p = 8.1*10-12). For smokers carrying a minimum of six out of eight possible risk alleles, the OR for CNV was 15.83 (95% CI: 6.06-45.19), and the OR for GA was 15.39 (95% CI: 3.47-110.84). For smokers carrying five risk alleles, the OR for drusen was 6.97 (95% CI: 2.13-27.86).

 
Conclusions
 

Combined genetic and environmental factors influence the risk of AMD significantly. CFH rs2274700 and C3 rs2330199 conferred greater risk for GA than for CNV. Because the onset of AMD can be insidious, it is important to develop predictive models to target high-risk individuals. Monitoring and early interventions may improve clinical outcomes in these patients.

 
Keywords: 412 age-related macular degeneration • 539 genetics • 688 retina  
© 2014, The Association for Research in Vision and Ophthalmology, Inc., all rights reserved. Permission to republish any abstract or part of an abstract in any form must be obtained in writing from the ARVO Office prior to publication.
Copyright © 2024 Association for Research in Vision and Ophthalmology.
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy.Accept