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Identifying Genetic Biomarkers Predicting Response to Anti-Vascular Endothelial Growth Factor Injections in Diabetic
Rajya L Gurung1, Liesel M FitzGerald1, Ebony Liu2
1Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia.
International Journal of Molecular Sciences
|April 12, 2022
Summary
Genetic factors influence how patients with diabetic macular edema (DME) respond to anti-vascular endothelial growth factor (VEGF) therapy. This study identified specific genetic loci associated with treatment outcomes, paving the way for personalized DME management.
Area of Science:
- Ophthalmology
- Genetics
- Pharmacogenomics
Background:
- Diabetic macular edema (DME) is a leading cause of vision loss.
- Intraocular anti-vascular endothelial growth factor (VEGF) therapies are standard treatment for DME.
- Individual responses to anti-VEGF therapy for DME vary significantly.
Purpose of the Study:
- To identify genetic determinants associated with anti-VEGF treatment response in patients with DME.
- To explore genetic loci that predict changes in central macular thickness (CMT) and best-corrected visual acuity (BCVA) after anti-VEGF therapy.
Main Methods:
- Genome-wide association study (GWAS) conducted on 220 Australian DME patients treated with anti-VEGF therapy.
- Genotyping performed using Illumina Global Screening Array, imputed to Haplotype Reference Consortium panel.
- Association analysis using linear regression, adjusting for relevant clinical and demographic factors.
Main Results:
- Two loci on chromosomes 6 and 12 showed genome-wide significance for association with increased CMT.
- Four loci on chromosomes 5 and 11 were significantly associated with reduction in BCVA.
- In silico analysis identified potential candidate genes and expression quantitative trait loci at these significant loci.
Conclusions:
- Multiple genetic loci predict treatment outcomes for anti-VEGF therapies in DME.
- These findings support the potential for personalized treatment strategies in managing DME based on genetic profiles.
- Further research into identified loci and candidate genes is warranted to refine personalized medicine approaches for DME.

