The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, Scotland, UK.
Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh, Scotland, UK.
Commun Biol. 2023 May 15;6(1):523. doi: 10.1038/s42003-023-04836-9.
There is increasing evidence that the complexity of the retinal vasculature measured as fractal dimension, D, 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 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 and analyse its relationship with CAD. We replicated 5 D loci and found 4 additional loci with suggestive significance (P < 1e-05) to contribute to D 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 and CAD, and between D and myocardial infarction (MI), one of CAD's fatal outcomes. Fine-mapping of D 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, 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 provides risk information beyond demographic, lifestyle, and genetic risk factors. Our findings shed new light on the genetic basis of D, unveiling a common control with MI, and highlighting the benefits of its application in individualised MI risk prediction.
越来越多的证据表明,视网膜血管复杂性的测量(以分形维数 D 表示)可能会在传统生物标志物被检测到之前,更早地洞察冠状动脉疾病(CAD)的进展。这种关联部分可以用共同的遗传基础来解释;然而,D 的遗传成分还知之甚少。我们进行了一项针对 38000 名具有英国白人血统的个体的全基因组关联研究(GWAS),旨在全面研究 D 的遗传成分及其与 CAD 的关系。我们复制了 5 个 D 位点,并发现了另外 4 个具有提示意义的(P < 1e-05)额外位点,这些位点与 D 变异有关,之前在视网膜扭曲和复杂性、高血压和 CAD 研究中也有报道。显著的负遗传相关估计支持 D 与 CAD 之间以及 D 与心肌梗死(MI)之间的反比关系,MI 是 CAD 的致命后果之一。D 位点的精细映射揭示了 Notch 信号通路调节变体,支持与 MI 结果的共享机制。我们针对 MI 病例开发了一个预测模型,这些病例是在临床和眼科评估后 10 年内记录的,该模型结合了临床信息、D 和 CAD 多基因风险评分。内部交叉验证表明,与已建立的风险模型 SCORE(AUC = 0.741 ± 0.002)相比,我们的预测模型(AUC = 0.770 ± 0.001)在曲线下面积(AUC)方面有了相当大的提高,并且通过利用 PRS 扩展了该模型(AUC = 0.728 ± 0.001)。这表明 D 提供了超越人口统计学、生活方式和遗传风险因素的风险信息。我们的研究结果为 D 的遗传基础提供了新的见解,揭示了与 MI 的共同控制,并强调了其在个体化 MI 风险预测中的应用的优势。