Center for Individualized Medicine, Mayo Clinic, Rochester, MN; Division of Clinical Pharmacology, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN.
Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX.
Genet Med. 2022 May;24(5):1062-1072. doi: 10.1016/j.gim.2022.01.022. Epub 2022 Mar 21.
The Mayo-Baylor RIGHT 10K Study enabled preemptive, sequence-based pharmacogenomics (PGx)-driven drug prescribing practices in routine clinical care within a large cohort. We also generated the tools and resources necessary for clinical PGx implementation and identified challenges that need to be overcome. Furthermore, we measured the frequency of both common genetic variation for which clinical guidelines already exist and rare variation that could be detected by DNA sequencing, rather than genotyping.
Targeted oligonucleotide-capture sequencing of 77 pharmacogenes was performed using DNA from 10,077 consented Mayo Clinic Biobank volunteers. The resulting predicted drug response-related phenotypes for 13 genes, including CYP2D6 and HLA, affecting 21 drug-gene pairs, were deposited preemptively in the Mayo electronic health record.
For the 13 pharmacogenes of interest, the genomes of 79% of participants carried clinically actionable variants in 3 or more genes, and DNA sequencing identified an average of 3.3 additional conservatively predicted deleterious variants that would not have been evident using genotyping.
Implementation of preemptive rather than reactive and sequence-based rather than genotype-based PGx prescribing revealed nearly universal patient applicability and required integrated institution-wide resources to fully realize individualized drug therapy and to show more efficient use of health care resources.
梅奥-贝勒 RIGHT 10K 研究使大规模队列中的常规临床护理能够预先进行基于序列的药物基因组学(PGx)驱动的药物处方实践。我们还生成了临床 PGx 实施所需的工具和资源,并确定了需要克服的挑战。此外,我们测量了常见遗传变异的频率,这些变异已经存在临床指南,以及罕见的变异,可以通过 DNA 测序而不是基因分型来检测。
使用来自 10077 名同意参加梅奥诊所生物库的志愿者的 DNA,对 77 个药物基因组进行靶向寡核苷酸捕获测序。对于影响 21 个药物-基因对的 13 个与药物反应相关的表型,包括 CYP2D6 和 HLA,将预先预测的结果存入 Mayo 电子健康记录。
对于 13 个感兴趣的药物基因组,79%的参与者的基因组在 3 个或更多基因中携带临床可操作的变异,DNA 测序平均确定了 3.3 个额外的保守预测有害变异,这些变异如果使用基因分型是不会明显的。
实施预先而不是反应性的、基于序列而不是基于基因型的 PGx 处方,揭示了几乎普遍的患者适用性,并需要整合全机构资源,以充分实现个体化药物治疗,并显示更有效地利用医疗资源。