Causal Effects Between Retinal Characteristics and Cardiovascular Diseases: Insights from Genetic Correlation,

Xuehao Cui1,2, Chao Sun3, Dejia Wen4,5,6

  • 1John Van Geest Centre for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neuroscience, University of Cambridge, Cambridge, CB2 0PY, UK.

Global Heart
|November 24, 2025
PubMed

Insights

Genetic links between retinal structure and cardiovascular diseases (CVDs) suggest shared pathways. Thinner retinal nerve fiber layer (RNFL) is associated with higher risks of hypertension and myocardial infarction (MI).

Area of Science:

  • Ophthalmology
  • Cardiology
  • Genetics
  • Biomarkers

Background:

  • Cardiovascular diseases (CVDs) are a leading cause of death globally, with increasing prevalence.
  • The retina's microvasculature offers insights into systemic vascular health and disease.
  • Retinal microvascular dysfunction is linked to CVDs and other systemic vascular conditions.

Purpose of the Study:

  • To investigate the genetic correlation and causal relationship between retinal characteristics and CVDs.
  • To explore shared etiological pathways between retinal microstructure and cardiovascular health.
  • To assess the potential of retinal traits as non-invasive markers for CVD risk.

Main Methods:

  • Genome-wide association study (GWAS) data from UK Biobank and FinnGen were analyzed using Linkage Disequilibrium Score Regression (LDSC) and Mendelian Randomization (MR).
  • Cross-sectional study utilizing optical coherence tomography (OCT) to measure retinal layer thickness.
  • Least Absolute Shrinkage and Selection Operator (LASSO) regression was employed for CVD risk prediction.

Main Results:

  • Genetically proxied thinner retinal nerve fiber layer (RNFL) correlated with increased risk of hypertension and myocardial infarction (MI).
  • Genetically proxied thicker photoreceptor inner segment/outer segment (PR-IS/OS) associated with coronary heart disease and MI.
  • Thinner retinal pigment epithelium (RPE) showed an inverse association with stroke risk.
  • Circulating biomarkers like lipoprotein(a) (Lp(a)), LDL-C, and ApoB showed MR evidence of association with CVDs.
  • Retinal layer differences and lipid relationships were directionally consistent with genetic findings in the cross-sectional cohort.

Conclusions:

  • Retinal structural traits (RNFL, PR-IS/OS, RPE thickness) serve as non-invasive markers reflecting systemic vascular biology.
  • MR analyses support shared etiological pathways between retinal microstructure and CVDs.
  • Findings require validation in larger, diverse populations and do not confirm direct clinical causality.
Abstract

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