A Comprehensive Review: Pharmacogenomics and Personalized Medicine Customizing Drug Therapy Based on Individual Genetics Profiles.

Biswajit Dash, Murshidha Shireen, Pushpendra, Shivam Kumar, Ankit Goel, Preeti Semwal, Rekha Rani
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Abstract

Numerous factors, such as genetics, environmental factors, and illness determinants, might contribute to an unpleasant pharmaceutical response. In an effort to increase efficacy and safety, as well as to gain a better understanding of drug disposition and clinical consequences, researchers in the two quickly emerging fields of pharmacogenetics (which focuses on single genes) and pharmacogenomics (which focuses on many genes) have studied the genetic personalization of drug response. This is due to the fact that a large number of pharmacological responses seem to be genetically based, and the relationship between medication response and genotype may be important for diagnosis. We now have a better understanding of the genetic basis of individual medication responses because to research on pharmaceuticals and genes. Pharmacogenomics aims to improve patient outcomes by developing personalized medicine by using the diversity of the human genome and how it affects medication response. Translational in nature, pharmacogenomics research encompasses everything from the discovery of genotype-phenotype associations to clinical investigations that might show therapeutic relevance. Though the conversion of pharmacogenomics research findings into clinical practice has been sluggish, advances in the field offer considerable potential for future therapeutic applications in specific people.

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全面回顾:药物基因组学与个性化医疗 根据个体遗传学特征定制药物疗法。
遗传学、环境因素和疾病决定因素等众多因素都可能导致不愉快的药物反应。为了提高疗效和安全性,以及更好地了解药物的处置和临床后果,药物遗传学(侧重于单个基因)和药物基因组学(侧重于多个基因)这两个迅速崛起的领域的研究人员对药物反应的基因个性化进行了研究。这是因为大量的药物反应似乎都是基于基因的,而药物反应与基因型之间的关系可能对诊断非常重要。由于对药物和基因的研究,我们现在对个体药物反应的基因基础有了更好的了解。药物基因组学旨在利用人类基因组的多样性及其对药物反应的影响,开发个性化药物,从而改善患者的治疗效果。药物基因组学研究具有转化性质,包括从发现基因型与表型的关联到可能显示治疗相关性的临床研究等各个方面。虽然将药物基因组学研究成果转化为临床实践的工作进展缓慢,但该领域的进步为未来在特定人群中的治疗应用提供了巨大潜力。
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CiteScore
0.70
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0.00%
发文量
53
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