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Endothelial cell-related genetic variants identify LDL cholesterol-sensitive individuals who derive greater benefit from aggressive lipid lowering.

Nature medicine2025-02-27PubMed
Total: 90.0Innovation: 9Impact: 9Rigor: 9Citation: 9

Summary

Using genome-wide CAD variants with endothelial functional effects, the authors built a 35-SNP EC-specific polygenic risk score that was associated with incident CAD in UK Biobank and identified individuals who derive greater benefit from aggressive LDL-C lowering in JUPITER (statin) and FOURIER (PCSK9 inhibitor). This enables endothelial biology–informed precision prevention.

Key Findings

  • A 35-variant endothelial cell–specific PRS (EC PRS) was constructed from CAD-associated SNPs.
  • EC PRS independently associated with incident CAD in UK Biobank (n=348,967; aHR per 1 SD ~1.24).
  • In JUPITER (n=8,749) and FOURIER (n=14,298), EC PRS identified individuals deriving greater benefit from aggressive LDL-C lowering.

Clinical Implications

Clinicians could prioritize high-intensity statins or PCSK9 inhibitors for patients with high EC PRS, potentially maximizing absolute risk reduction while improving cost-effectiveness in primary and secondary prevention.

Why It Matters

This study operationalizes endothelial biology into a clinically actionable genetic tool that predicts both CAD risk and responsiveness to lipid-lowering, informing precision allocation of high-intensity therapies.

Limitations

  • Ancestry composition and potential reduced generalizability to non-European populations are not fully detailed.
  • Therapy-response inference is based on stratified analyses of existing trials, not a prospectively PRS-stratified randomized trial.

Future Directions

Prospective PRS-guided randomized trials to test clinical utility; evaluation across ancestries; integration with clinical risk calculators for treatment allocation.

Study Information

Study Type
Cohort
Research Domain
Prognosis/Treatment
Evidence Level
II - Large multi-cohort observational validation including trial datasets
Study Design
OTHER