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A genome-wide association study identifies EYA2 as a contributing gene for diabetic retinopathy in type 2 diabetes

  • Tengda Cai
  • , Qi Pan
  • , Yiwen Tao
  • , Charvi Nangia
  • , Aravind L. Rajendrakumar
  • , Yunyan Ye
  • , Tania Dottorini
  • , Mainul Haque
  • , Colin Na Palmer
  • , Yongqing Shao
  • , Weihua Meng

Research output: Journal PublicationArticlepeer-review

Abstract

Background: Diabetic retinopathy (DR) is a complication of diabetes that affects the eyes. This study aims to identify the genetic variants associated with DR in type 2 diabetes (T2D) patients from the UK Biobank cohort (n = 16,988). Methods: We conducted a genome-wide association study (GWAS) of DR and integrated genomic results with multi-omics data to identify and prioritize susceptibility variants and genes. The findings are set to undergo validation in four replication cohorts. Results: Here we show that the lead SNP rs6066146 in EYA2 reaches genome-wide significance (p = 4.21×10−8) and is replicated in three independent cohorts. The SNP-based heritability for DR is estimated at 14.6% (standard deviation: 0.11). Colocalization analysis at the EYA2 locus suggests moderate colocalization (PP.H4 = 0.553) alongside distinct association signals for DR and T2D, and cis-Mendelian randomization (MR) within the EYA2 region provides gene-centric evidence that T2D exerts a significant causal effect on DR. Exploratory multivariable MR identifies proinsulin as a significant mediator of T2D on DR, which may partly account for the moderate evidence for colocalization. Tissue expression, chromatin interaction, and transcriptome-wide association analyses point to the spleen, while gene set analysis identifies B-cell pathways. Together, these convergent signals suggest that splenic B-cell abundance could serve as a predictive marker for DR risk. Conclusions: Our study demonstrates a genomic risk locus in gene EYA2 associated with DR in type 2 diabetes, which offers deeper insights into broader trait architecture on DR.

Original languageEnglish
Article number181
Number of pages11
JournalCommunications Medicine
Volume6
Issue number1
DOIs
Publication statusPublished - Dec 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • Internal Medicine
  • Epidemiology
  • Medicine (miscellaneous)
  • Public Health, Environmental and Occupational Health
  • Assessment and Diagnosis

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