Butnariu Lăcrămioara Ionela, Florea Laura, Badescu Minerva Codruta, Țarcă Elena, Costache Irina-Iuliana, Gorduza Eusebiu Vlad
Department of Medical Genetics, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iași, Romania.
Department of Nefrology-Internal Medicine, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, 700115 Iași, Romania.
Life (Basel). 2022 Jun 9;12(6):865. doi: 10.3390/life12060865.
In the modern era, coronary artery disease (CAD) has become the most common form of heart disease and, due to the severity of its clinical manifestations and its acute complications, is a major cause of morbidity and mortality worldwide. The phenotypic variability of CAD is correlated with the complex etiology, multifactorial (caused by the interaction of genetic and environmental factors) but also monogenic. The purpose of this review is to present the genetic factors involved in the etiology of CAD and their relationship to the pathogenic mechanisms of the disease. Method: we analyzed data from the literature, starting with candidate gene-based association studies, then continuing with extensive association studies such as Genome-Wide Association Studies (GWAS) and Whole Exome Sequencing (WES). The results of these studies revealed that the number of genetic factors involved in CAD etiology is impressive. The identification of new genetic factors through GWASs offers new perspectives on understanding the complex pathophysiological mechanisms that determine CAD. In conclusion, deciphering the genetic architecture of CAD by extended genomic analysis (GWAS/WES) will establish new therapeutic targets and lead to the development of new treatments. The identification of individuals at high risk for CAD using polygenic risk scores (PRS) will allow early prophylactic measures and personalized therapy to improve their prognosis.
在现代,冠状动脉疾病(CAD)已成为最常见的心脏病形式,并且由于其临床表现的严重性及其急性并发症,是全球发病和死亡的主要原因。CAD的表型变异性与复杂的病因相关,病因是多因素的(由遗传和环境因素的相互作用引起),但也有单基因的情况。本综述的目的是介绍CAD病因中涉及的遗传因素及其与疾病致病机制的关系。方法:我们分析了文献数据,从基于候选基因的关联研究开始,然后继续进行广泛的关联研究,如全基因组关联研究(GWAS)和全外显子测序(WES)。这些研究的结果表明,参与CAD病因的遗传因素数量令人印象深刻。通过GWAS鉴定新的遗传因素为理解决定CAD的复杂病理生理机制提供了新的视角。总之,通过扩展基因组分析(GWAS/WES)破译CAD的遗传结构将建立新的治疗靶点并导致新治疗方法的开发。使用多基因风险评分(PRS)识别CAD高危个体将允许采取早期预防措施和个性化治疗以改善其预后。