Department of Cardiovascular Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Department of Cardiovascular Surgery, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China; Department of Thoracic Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Thromb Res. 2024 Sep;241:109102. doi: 10.1016/j.thromres.2024.109102. Epub 2024 Jul 20.
The comorbidity among vascular diseases has been widely reported, however, the contribution of shared genetic components remains ambiguous.
Based on genome-wide association study summary statistics, we employed statistical genetics methodologies to explore the shared genetic basis of eight vascular diseases: coronary artery disease, abdominal aortic aneurysm, ischemic stroke, peripheral artery disease, thoracic aortic aneurysm, phlebitis, varicose veins, and venous thromboembolism. We assessed global and local genetic correlations among these disorders by linkage disequilibrium score regression, high-definition likelihood, and local analysis of variant association. Cross-trait analyses conducted with CPASSOC identified pleiotropic variants and loci. Further, biological pathways at the multi-omics level were explored using multimarker analysis of genomic annotation, transcriptome-wide and proteome-wide association studies. Causal associations among the vascular diseases were evaluated by mendelian randomization and latent causal variable to assess vertical pleiotropic effects.
We found significant global genetic associations in 18 pairs of vascular diseases. Additionally, we discovered 317 unique genomic regions where at least one pair of traits demonstrated significant correlation. Multi-trait association analysis identified 19,361 significant potential pleiotropic variants in 274 independent pleiotropic loci. Multi-trait colocalization analysis revealed 56 colocalized loci in specific disease sets. Gene-based analysis identified 700 potential pleiotropic genes, which were subsequently validated at both transcriptome and protein levels. Gene-set enrichment analysis supports the role of biological pathways such as vessel wall structure, coagulation and lipid transport in vascular disease. Additionally, 7 pairs of vascular diseases have a causal relationship.
Our study indicates a shared genetic basis and the presence of common risk genes among vascular diseases. These findings offer novel insights into potential mechanisms underlying the association between vascular diseases, as well as provide guidance for interventions and treatments of multi-vascular conditions.
血管疾病的合并症已被广泛报道,但共享遗传成分的贡献仍不明确。
基于全基因组关联研究汇总统计数据,我们采用统计遗传学方法来探索八种血管疾病(冠心病、腹主动脉瘤、缺血性中风、外周动脉疾病、胸主动脉瘤、静脉炎、静脉曲张和静脉血栓栓塞症)的共同遗传基础。我们通过连锁不平衡评分回归、高分辨率似然和变异关联的局部分析,评估这些疾病之间的全局和局部遗传相关性。CPASSOC 进行的跨性状分析确定了多效变异和位点。此外,使用基因组注释、转录组和蛋白质组关联研究的多标记分析探索了多组学水平的生物学途径。通过孟德尔随机化和潜在因果变量评估血管疾病之间的因果关系,以评估垂直多效性效应。
我们发现 18 对血管疾病存在显著的全局遗传关联。此外,我们发现至少有一对性状存在显著相关性的 317 个独特基因组区域。多性状关联分析在 274 个独立多效性位点中确定了 19361 个显著的潜在多效性变异。多性状共定位分析在特定疾病组中揭示了 56 个共定位的位点。基于基因的分析确定了 700 个潜在的多效性基因,这些基因随后在转录组和蛋白质水平上得到验证。基因集富集分析支持血管疾病中血管壁结构、凝血和脂质转运等生物学途径的作用。此外,有 7 对血管疾病存在因果关系。
我们的研究表明血管疾病之间存在共同的遗传基础和共同的风险基因。这些发现为血管疾病之间的关联潜在机制提供了新的见解,并为多血管疾病的干预和治疗提供了指导。