药物基因组学的发展。

Andrew Somogy
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引用次数: 0

摘要

药物遗传学可以追溯到2000多年前毕达哥拉斯的观察,然而直到20世纪50年代,当一些酶多态性(例如n -乙酰转移酶,G6PD)被发现时,这个术语才被沃格尔创造出来。药物遗传学因为太过深奥而走向衰落。在20世纪70年代,CYP2D6多态性的发现及其对药物毒性和反应的影响导致了许多基于药代动力学的药物遗传学变异的观察。这些和其他发现以及随后的基因分型能力导致了药物基因组学这个术语。今天,越来越多的基因的多态性被发现与药物的可变反应有关,无论是在药物代谢酶、转运体还是受体水平,主要是通过候选基因的方法。越来越多地使用全基因组分析来识别迄今无法预测的与疾病和药物反应相关的新基因。尽管上市的一些旧药物和大多数新药都有“药物基因组学足迹”,但药物基因组学的临床和实际用途普遍缺乏。迄今为止,药物遗传学的临床翻译主要集中在毒性(如硫唑嘌呤)和最近疗效和毒性(如华法林)目的的狭窄治疗指数药物上。药物遗传学和基因组学将通过更低成本、快速的全基因组测序方法与复杂的算法相结合来推进,这些算法允许个性化剂量建议,但不一定采用。然而,复杂的是环境和遗传因素对基因表达变化的影响。因此,将药物遗传学转化为“个性化医学”将取决于许多因素,包括临床相关性、环境-遗传相互作用、成本和教育。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolution of pharmacogenomics.

Pharmacogenetics dates back more than 2,000 years to observations by Pythagoras, however it was not until the 1950s when some enzyme polymorphisms (e.g., N-acetyltransferase, G6PD) were discovered that the term was coined by Vogel. Pharmacogenetics then went into decline as being too esoteric a subject. In the 1970s the discovery of the CYP2D6 polymorphism and its resultant effect on drug toxicity and response led to many observations of pharmacogenetic-based variations in pharmacokinetics. These and other discoveries and the subsequent ability to genotype led to the term pharmacogenomics. Today, there are an increasing number of genes for which polymorphisms have been identified that are associated with variable drug response whether it be at the drug metabolizing enzyme, transporter or receptor level and, mainly through a candidate genes(s) approach. Increasing use of genome-wide analysis is identifying hitherto unpredictable new genes associated with disease and drug response. Although some old and most new drugs coming onto the market have a "pharmacogenomic footprint", the clinical and practical usefulness of pharmacogenomics has been generally lacking. To date, clinical translation of pharmacogenetics has focused on narrow therapeutic index drugs for toxicity (e.g., azathioprine) and more recently for efficacy and toxicity (e.g., warfarin) purposes. Pharmacogenetics and genomics will be advanced through lower cost, rapid whole genome sequencing methods combined with sophisticated algorithms allowing individualised dosage recommendations but not necessarily their adoption. However, complicating this is the influence of changes in gene expression by environmental and genetic factors. Therefore translation of pharmacogenetics into "personalised medicine" will depend on many factors including clinical relevance, environmental-genetic interactions, cost and education.

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