Center for Statistical Genetics, Pennsylvania State University, Hershey, PA 17033, USA.
Trends Pharmacol Sci. 2010 Jul;31(7):306-11. doi: 10.1016/j.tips.2010.04.004. Epub 2010 May 18.
Recent research in pharmacogenomics has inspired our hope to predict drug response by linking it with DNA information extracted from the human genome. However, many genetic models of drug response do not incorporate biochemical principles of host-drug interactions, limiting the effectiveness of the predictive models. We argue that functional mapping, a computational tool aimed at identifying genes and genetic networks that control dynamic traits, can help explain the detailed genetic architecture of drug response by incorporating pharmacokinetic and pharmacodynamic processes. Functional mapping is particularly powerful in determining the genetic commonality and differences of drug efficacy vs. drug toxicity and drug sensitivity vs. drug resistance. We pinpoint several future directions in which functional mapping can be coupled with systems biology to unravel the genetic and metabolic machinery of drug response.
近年来,药物基因组学的研究激发了我们的希望,即通过将其与从人类基因组中提取的 DNA 信息联系起来,来预测药物反应。然而,许多药物反应的遗传模型并没有纳入宿主-药物相互作用的生化原理,从而限制了预测模型的有效性。我们认为,功能映射是一种旨在识别控制动态特征的基因和遗传网络的计算工具,可以通过纳入药代动力学和药效动力学过程来帮助解释药物反应的详细遗传结构。功能映射在确定药物疗效与药物毒性、药物敏感性与药物耐药性的遗传共性和差异方面特别强大。我们指出了功能映射与系统生物学相结合的几个未来方向,以揭示药物反应的遗传和代谢机制。