冠状动脉疾病(CAD)是全球死亡率和残疾调整寿命年(DALYs)损失的最常见原因。这项研究旨在通过对潜在基因和变体的药物基因组学影响的生物信息学分析的系统评价,提出用于治疗CAD的新基因列表。
■PubMed搜索在2020-2023年期间按标题过滤,包括冠状动脉疾病。为了找到对CAD具有药物遗传学影响的基因,根据变体注释考虑了额外的过滤。蛋白质-蛋白质相互作用(PPIs)基因-miRNA相互作用(GMIs),蛋白质-药物相互作用(PDIs)和由STRING-MODEL(ver.12),Cytoscape(ver.3.10),miRTargetLink.2.,NetworkAnalyst(Ver0.3.0),和PharmGKB。
■结果显示5618种出版物,1290篇论文合格,最后,共纳入650篇论文。提取了4608个蛋白质编码基因,其中,区分了1432个独特基因,并保留了530个基于证据的重复基因。71个基因在至少(完全6331个注释)中显示药物遗传学相关变体注释。变体注释评估(VAA)显示最终报告的532个潜在变体,最后,结论PG列表代表175个变体。根据功能和MAF,29个药物基因组学相关基因的57个非同义变异与CAD相关。
■最后,评估患有CAD的个体血浆中的循环miR33a,rs2230806,rs2230808,rs2487032,rs12003906,rs2472507,rs2515629和rs4149297(ABCA1变体)的基因分型导致精确地处方众所周知的药物。此外,本综述的研究结果可用于CAD的预后和诊断的全基因组测序(WGS)和全外显子组测序(WES)分析.
UNASSIGNED: Coronary artery disease (CAD) is the most common reason for mortality and disability-adjusted life years (DALYs) lost globally. This study aimed to suggest a new gene list for the treatment of CAD by a systematic
review of bioinformatics analyses of pharmacogenomics impacts of potential genes and variants.
UNASSIGNED: PubMed search was filtered by the title including Coronary Artery Disease during 2020-2023. To find the genes with pharmacogenetic impact on the CAD, additional filtrations were considered according to the variant annotations. Protein-Protein Interactions (PPIs), Gene-miRNA Interactions (GMIs), Protein-
Drug Interactions (PDIs), and variant annotation assessments (VAAs) performed by STRING-MODEL (ver. 12), Cytoscape (ver. 3.10), miRTargetLink.2., NetworkAnalyst (ver 0.3.0), and PharmGKB.
UNASSIGNED: Results revealed 5618 publications, 1290 papers were qualified, and finally, 650 papers were included. 4608 protein-coding genes were extracted, among them, 1432 unique genes were distinguished and 530 evidence-based repeated genes remained. 71 genes showed a pharmacogenetics-related variant annotation in at least (entirely 6331 annotations). Variant annotation assessment (VAA) showed 532 potential variants for the final report, and finally, the concluding PGs list represented 175 variants. Based on the function and MAF, 57 nonsynonymous variants of 29 Pharmacogenomics-related genes were associated with CAD.
UNASSIGNED: Conclusively, evaluating circulating miR33a in individuals\' plasma with CAD, and genotyping of rs2230806, rs2230808, rs2487032, rs12003906, rs2472507, rs2515629, and rs4149297 (ABCA1 variants) lead to precisely prescribing of well-known drugs. Also, the findings of this
review can be used in both whole-genome sequencing (WGS) and whole-exome sequencing (WES) analysis in the prognosis and diagnosis of CAD.