Current pharmacogenetic studies have obtained many genetic models that can predict the therapeutic efficacy of anticancer drugs. Although some of these models are of crucial importance and have been used in clinical practice, these very valuable models have not been well adopted into cancer research to promote the development of cancer therapies due to the lack of integration and standards for the existing data of the pharmacogenetic studies. For this purpose, we built a resource investigating genetic model of drug response (iGMDR), which integrates the models from in vitro and in vivo pharmacogenetic studies with different omics data from a variety of technical systems. In this study, we introduced a standardized process for all integrations, and described how users can utilize these models to gain insights into cancer. iGMDR is freely accessible at https://igmdr.modellab.cn.

当前的药物遗传学研究已经获得了许多可以预测抗癌药疗效的遗传模型。尽管这些模型中的某些至关重要，并且已在临床实践中使用，但是由于缺乏现有数据的整合和标准，这些非常有价值的模型尚未被很好地用于癌症研究以促进癌症疗法的发展。药物遗传学研究。为此，我们建立了一个资源调查遗传模型的药物反应（iGMDR），该车型从集成在体外和体内来自各种技术系统的具有不同组学数据的药物遗传学研究。在这项研究中，我们为所有整合引入了标准化流程，并描述了用户如何利用这些模型来深入了解癌症。可从https://igmdr.modellab.cn免费访问iGMDR。