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Related Experiment Video

Updated: Apr 26, 2026

Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
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Developments in Ocular Genetics: 2013 Annual Review.

Inas F Aboobakar1, R Rand Allingham1

  • 1Department of Ophthalmology, Duke University Medical Center, Durham, NC, USA.

Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)
|August 7, 2014
PubMed
Summary

Recent advancements in ocular genetics have significantly improved our understanding of eye diseases like glaucoma and macular degeneration. Next-generation sequencing is now crucial for diagnosing and treating genetic eye conditions.

Keywords:
Fuchs’ endothelial corneal dystrophyGenome-wide association study (GWAS)age-related macular degenerationcataractdiabetic retinopathyepigeneticsglaucomakeratoconusmeta-analysisrefractive erroruveal melanomawhole-exome sequencing

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Area of Science:

  • Ophthalmology
  • Genetics
  • Molecular Biology

Background:

  • Genetic factors play a critical role in the etiology of numerous human eye diseases.
  • Understanding these genetic underpinnings is essential for developing effective diagnostic and therapeutic strategies.

Purpose of the Study:

  • To review and highlight key advancements in ocular genetics published in 2013.
  • To summarize progress in identifying genetic causes of various ocular disorders.

Main Methods:

  • A comprehensive literature search was performed using PubMed.
  • The review included 120 English-language articles published between January 1, 2013, and December 31, 2013.
  • Focus was placed on studies investigating genetic influences on human eye diseases.

Main Results:

  • Significant progress was achieved in elucidating the genetic basis of major ocular disorders.
  • Key conditions reviewed include glaucoma, age-related macular degeneration, cataract, diabetic retinopathy, keratoconus, Fuchs' endothelial dystrophy, and refractive error.

Conclusions:

  • Next-generation sequencing technologies have proven highly effective in identifying disease-associated gene mutations.
  • These advancements facilitate the clinical application of genetic information for diagnosis, treatment response prediction, and gene-guided interventions.