基于药物基因组学的冠状动脉疾病系统审查,基于个性化医疗程序
Siamak Kazemi Asl1, Milad Rahimzadegan2, Alireza Kazemi Asl2
1Deputy of Education, Ministry of Health and Medical Education, Tehran, Iran.
Heliyon
|April 11, 2024
概括
这项研究确定了29个药物基因基因和57个与冠状动脉疾病 (CAD) 相关的变异,有助于个性化治疗策略. 评估特定的ABCA1变体和miR33a水平可以改善CAD患者的药物处方.
科学领域:
- 基因组学就是基因组学.
- 药物基因组学 药物基因组学
- 心血管疾病研究研究
背景情况:
- 冠状动脉疾病 (CAD) 是全球主要的死亡和残疾原因.
- 识别影响CAD治疗的遗传因素对于改善患者的治疗结果至关重要.
研究的目的:
- 系统地审查对CAD的药物基因组影响的生物信息学分析.
- 根据药物遗传学的见解,提出用于CAD治疗的新型基因列表.
主要方法:
- 在PubMed (2020-2023) 的系统文献综述中,重点关注CAD和药物遗传学.
- 使用了STRING-MODEL,Cytoscape,miRTargetLink.2.,NetworkAnalyst和PharmGKB进行包括PPI,GMI,PDI和VAA在内的分析.
- 将5618个出版物过到650个,提取和分析编码蛋白质的基因和变异.
主要成果:
- 鉴定了4608个编码蛋白质的基因,改进到530个基于证据的重复基因.
- 发现了71个具有药理遗传学相关变异注释的基因,导致了175个潜在变异.
- 从29个药物基因基因中与基于功能和MAF的CAD相关联的57个非同义变异.
结论:
- 循环中的miR33a和特定的ABCA1变异 (例如rs2230806) 是在CAD中准确处方药物的关键.
- 这些发现支持使用全基因组测序 (WGS) 和全外因组测序 (WES) 进行CAD预后和诊断.
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