Ji Yuan, Skierka Jennifer M, Blommel Joseph H, Moore Brenda E, VanCuyk Douglas L, Bruflat Jamie K, Peterson Lisa M, Veldhuizen Tamra L, Fadra Numrah, Peterson Sandra E, Lagerstedt Susan A, Train Laura J, Baudhuin Linnea M, Klee Eric W, Ferber Matthew J, Bielinski Suzette J, Caraballo Pedro J, Weinshilboum Richard M, Black John L
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
J Mol Diagn. 2016 May;18(3):438-445. doi: 10.1016/j.jmoldx.2016.01.003. Epub 2016 Mar 3.
Significant barriers, such as lack of professional guidelines, specialized training for interpretation of pharmacogenomics (PGx) data, and insufficient evidence to support clinical utility, prevent preemptive PGx testing from being widely clinically implemented. The current study, as a pilot project for the Right Drug, Right Dose, Right Time-Using Genomic Data to Individualize Treatment Protocol, was designed to evaluate the impact of preemptive PGx and to optimize the workflow in the clinic setting. We used an 84-gene next-generation sequencing panel that included SLCO1B1, CYP2C19, CYP2C9, and VKORC1 together with a custom-designed CYP2D6 testing cascade to genotype the 1013 subjects in laboratories approved by the Clinical Laboratory Improvement Act. Actionable PGx variants were placed in patient's electronic medical records where integrated clinical decision support rules alert providers when a relevant medication is ordered. The fraction of this cohort carrying actionable PGx variant(s) in individual genes ranged from 30% (SLCO1B1) to 79% (CYP2D6). When considering all five genes together, 99% of the subjects carried an actionable PGx variant(s) in at least one gene. Our study provides evidence in favor of preemptive PGx testing by identifying the risk of a variant being present in the population we studied.
重大障碍,如缺乏专业指南、药物基因组学(PGx)数据解读的专业培训以及支持临床应用的证据不足,阻碍了预防性PGx检测在临床上的广泛实施。作为“正确药物、正确剂量、正确时间——利用基因组数据个体化治疗方案”试点项目的当前研究,旨在评估预防性PGx的影响并优化临床环境中的工作流程。我们使用了一个包含SLCO1B1、CYP2C19、CYP2C9和VKORC1的84基因下一代测序面板,以及一个定制设计的CYP2D6检测级联,在经《临床实验室改进法案》批准的实验室中对1013名受试者进行基因分型。可操作的PGx变异被录入患者的电子病历中,当开出相关药物时,综合临床决策支持规则会提醒医护人员。该队列中携带单个基因可操作PGx变异的比例从30%(SLCO1B1)到79%(CYP2D6)不等。当综合考虑所有五个基因时,99%的受试者至少在一个基因中携带可操作的PGx变异。我们的研究通过识别我们所研究人群中存在变异的风险,为预防性PGx检测提供了支持证据。