Department of Physiology and Pharmacology, Section of Pharmacogenetics, Karolinska Institutet, SE-171 77, Stockholm, Sweden.
Estonian Genome Center, University of Tartu, 51010, Tartu, Estonia.
AAPS J. 2017 Nov 27;20(1):4. doi: 10.1208/s12248-017-0161-x.
Much of the inter-individual variability in drug efficacy and risk of adverse reactions is due to polymorphisms in genes encoding proteins involved in drug pharmacokinetics and pharmacodynamics or immunological responses. Pharmacogenetic research has identified a multitude of gene-drug response associations, which have resulted in genetically guided treatment and dosing decisions to yield a higher success rate of pharmacological treatment. The rapid technological developments for genetic analyses reveal that the number of genetic variants with importance for drug action is much higher than previously thought and that a true personalized prediction of drug response requires attention to millions of rare mutations. Here, we review the evolutionary background of genetic polymorphisms in drug-metabolizing enzymes, provide some important examples of current use of pharmacogenomic biomarkers, and give an update of germline and somatic genome biomarkers that are in use in drug development and clinical practice. We also discuss the current technology development with emphasis on complex genetic loci, review current initiatives for validation of pharmacogenomic biomarkers, and present scenarios for the future taking rare genetic variants into account for a true personalized genetically guided drug prescription. We conclude that pharmacogenomic information for patient stratification is of value to tailor optimized treatment regimens particularly in oncology. However, the routine use of pharmacogenomic biomarkers in clinical practice in other therapeutic areas is currently sparse and the prospects of its future implementation are being scrutinized by different international consortia.
药物疗效和不良反应风险的个体间差异很大程度上归因于编码参与药物药代动力学和药效学或免疫反应的蛋白质的基因中的多态性。药物遗传学研究已经确定了许多基因-药物反应关联,这导致了基于遗传的治疗和剂量决策,以提高药物治疗的成功率。用于基因分析的快速技术发展表明,对药物作用重要的遗传变异数量远远高于先前的想象,并且真正个性化的药物反应预测需要注意数百万个罕见的突变。在这里,我们回顾了药物代谢酶中遗传多态性的进化背景,提供了当前药物基因组生物标志物应用的一些重要实例,并更新了在药物开发和临床实践中使用的种系和体细胞基因组生物标志物。我们还讨论了当前技术发展的重点是复杂的遗传位点,回顾了当前药物基因组生物标志物验证的计划,并提出了未来的情景,考虑到罕见的遗传变异,真正实现个性化的遗传指导药物处方。我们的结论是,药物基因组信息用于患者分层对于量身定制优化的治疗方案具有价值,特别是在肿瘤学领域。然而,药物基因组生物标志物在其他治疗领域的临床实践中的常规使用目前还很少,不同的国际联盟正在仔细审查其未来实施的前景。