Department of Biomedical Data Sciences, Stanford University, Stanford, California, USA.
Translational Software, Bellevue, Washington, USA.
Clin Pharmacol Ther. 2019 Jan;105(1):86-91. doi: 10.1002/cpt.1279.
Pharmacogenomics (PGx) can be seen as a model for biomedical studies: it includes all disease areas of interest and spans in vitro studies to clinical trials, while focusing on the relationships between genes and drugs and the resulting phenotypes. This review will examine different characteristics of PGx study publications and provide examples of excellence in framing PGx questions and reporting their resulting data in a way that maximizes the knowledge that can be built on them.
药物基因组学（PGx）可以被视为生物医学研究的一个范例：它涵盖了所有感兴趣的疾病领域，并跨越了从体外研究到临床试验的范围，同时专注于基因与药物之间的关系以及由此产生的表型。本文将探讨 PGx 研究出版物的不同特点，并提供在构建 PGx 问题和报告相关数据方面的优秀范例，以最大化可从这些研究中获得的知识。
