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Published on: October 22, 2014
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.
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.
Background:
Cardiovascular diseases (CVDs) are the leading global cause of mortality and disability, with prevalence increasing due to aging and risk factors like obesity and hypertension. The retina, rich in microvasculature, provides a unique opportunity to investigate microvascular dysfunction linked to CVDs and other systemic vascular diseases.
Method:
This study used a multifaceted approach to assess the genetic correlation and causal relationship between retinal characteristics and CVDs. Linkage disequilibrium score regression (LDSC) and Mendelian randomization (MR) analyses were conducted using genome-wide association study (GWAS) data from the UK Biobank and FinnGen datasets. A cross-sectional study was also conducted to validate the findings, collecting optical coherence tomography (OCT) images from 124 eyes (89 with CVDs and 35 healthy controls). A prediction model is based on least absolute shrinkage and selection operator (LASSO) regression to assess the risk of CVD.
Result:
Using LDSC and two-sample MR, we found genetic evidence consistent with a causal effect whereby genetically proxied thinner retinal nerve fiber layer (RNFL) was associated with higher risks of hypertension and myocardial infarction (MI), while genetically proxied thicker photoreceptor inner segment/outer segment (PR-IS/OS) was associated with coronary heart disease and MI (false discovery rate [FDR] thresholds as reported). Genetically proxied thinner retinal pigment epithelium (RPE) showed an inverse association with stroke risk. Several circulating biomarkers-including lipoprotein(a) [Lp(a)], low-density lipoprotein cholesterol (LDL-C), and ApoB-exhibited MR evidence of association with multiple CVDs. In a cross-sectional cohort, retinal layer differences and their relationships with lipids were directionally consistent with the genetic findings.
Conclusion:
Retinal structural traits measured by OCT-particularly RNFL, PR-IS/OS, and RPE thickness-are best interpreted as non-invasive markers that reflect systemic vascular biology. Our MR analyses support shared etiologic pathways between retinal microstructure and CVDs rather than implying that retinal damage clinically causes cardiovascular events. Findings warrant validation in larger and more diverse populations and should not be considered definitive proof of causality.
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