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Fine-mapping of retinal vascular complexity loci identifies Notch regulation as a shared mechanism with myocardial infarction outcomes.

Ana Villaplana-VelascoMarie PigeyreJustin EngelmannKonrad RawlikOriol Canela-XandriClaire TochelFrida Lona-DurazoMuthu Rama Krishnan MookiahAlex DoneyEsteban J ParraEmanuele TruccoThomas J MacGillivrayKristiina RannikmäeAlbert TenesaErola Pairo-CastineiraMiguel Oscar Bernabeu
Published in: Communications biology (2023)
There is increasing evidence that the complexity of the retinal vasculature measured as fractal dimension, D f , might offer earlier insights into the progression of coronary artery disease (CAD) before traditional biomarkers can be detected. This association could be partly explained by a common genetic basis; however, the genetic component of D f is poorly understood. We present a genome-wide association study (GWAS) of 38,000 individuals with white British ancestry from the UK Biobank aimed to comprehensively study the genetic component of D f and analyse its relationship with CAD. We replicated 5 D f loci and found 4 additional loci with suggestive significance (P < 1e-05) to contribute to D f variation, which previously were reported in retinal tortuosity and complexity, hypertension, and CAD studies. Significant negative genetic correlation estimates support the inverse relationship between D f and CAD, and between D f and myocardial infarction (MI), one of CAD's fatal outcomes. Fine-mapping of D f loci revealed Notch signalling regulatory variants supporting a shared mechanism with MI outcomes. We developed a predictive model for MI incident cases, recorded over a 10-year period following clinical and ophthalmic evaluation, combining clinical information, D f , and a CAD polygenic risk score. Internal cross-validation demonstrated a considerable improvement in the area under the curve (AUC) of our predictive model (AUC = 0.770 ± 0.001) when comparing with an established risk model, SCORE, (AUC = 0.741 ± 0.002) and extensions thereof leveraging the PRS (AUC = 0.728 ± 0.001). This evidences that D f provides risk information beyond demographic, lifestyle, and genetic risk factors. Our findings shed new light on the genetic basis of D f , unveiling a common control with MI, and highlighting the benefits of its application in individualised MI risk prediction.
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