Department of Biomedical Data Science, Stanford University, Palo Alto, California, USA.
Biomedical Informatics Training Program, Stanford University, Palo Alto, California, USA.
Clin Pharmacol Ther. 2020 Jan;107(1):203-210. doi: 10.1002/cpt.1568. Epub 2019 Sep 17.
Pharmacogenomics (PGx) decision support and return of results is an active area of precision medicine. One challenge of implementing PGx is extracting genomic variants and assigning haplotypes in order to apply prescribing recommendations and information from the Clinical Pharmacogenetics Implementation Consortium (CPIC), the US Food and Drug Administration (FDA), the Pharmacogenomics Knowledgebase (PharmGKB), etc. Pharmacogenomics Clinical Annotation Tool (PharmCAT) (i) extracts variants specified in guidelines from a genetic data set derived from sequencing or genotyping technologies, (ii) infers haplotypes and diplotypes, and (iii) generates a report containing genotype/diplotype-based annotations and guideline recommendations. We describe PharmCAT and a pilot validation project comparing results for 1000 Genomes Project sequences of Coriell samples with corresponding Genetic Testing Reference Materials Coordination Program (GeT-RM) sample characterization. PharmCAT was highly concordant with the GeT-RM data. PharmCAT is available in GitHub to evaluate, test, and report results back to the community. As precision medicine becomes more prevalent, our ability to consistently, accurately, and clearly define and report PGx annotations and prescribing recommendations is critical.
药物基因组学(PGx)决策支持和结果回报是精准医学的一个活跃领域。实施 PGx 的一个挑战是提取基因组变体并分配单倍型,以便应用处方建议和来自临床药物基因组学实施联盟(CPIC)、美国食品和药物管理局(FDA)、药物基因组学知识库(PharmGKB)等的信息。药物基因组学临床注释工具(PharmCAT)(i)从源自测序或基因分型技术的遗传数据集提取指南中指定的变体,(ii)推断单倍型和二倍型,以及(iii)生成一份报告,其中包含基于基因型/二倍型的注释和指南建议。我们描述了 PharmCAT 和一个试点验证项目,该项目比较了 1000 基因组计划科里尔样本的序列与相应的遗传测试参考材料协调计划(GeT-RM)样本特征的结果。PharmCAT 与 GeT-RM 数据高度一致。PharmCAT 可在 GitHub 上评估、测试,并向社区报告结果。随着精准医学的普及,我们能够一致、准确和清晰地定义和报告 PGx 注释和处方建议的能力至关重要。