Center for Cardiovascular Genetics and Gene Diagnostics; Foundation for People with Rare Diseases, 8952 Schlieren-Zurich, Switzerland.
Laboratory of Translational Nutrition Biology, Department of Health Sciences and Technology, ETH Zurich, 8603 Schwerzenbach, Switzerland.
Int J Mol Sci. 2020 Mar 26;21(7):2308. doi: 10.3390/ijms21072308.
Although several pharmacogenetic (PGx) predispositions affecting drug efficacy and safety are well established, drug selection and dosing as well as clinical trials are often performed in a non-pharmacogenetically-stratified manner, ultimately burdening healthcare systems. Pre-emptive PGx testing offers a solution which is often performed using microarrays or targeted gene panels, testing for common/known PGx variants. However, as an added value, whole-genome sequencing (WGS) could detect not only disease-causing but also pharmacogenetically-relevant variants in a single assay. Here, we present our WGS-based pipeline that extends the genetic testing of Mendelian diseases with PGx profiling, enabling the detection of rare/novel PGx variants as well. From our in-house WGS (PCR-free 60× PE150) data of 547 individuals we extracted PGx variants with drug-dosing recommendations of the Dutch Pharmacogenetics Working Group (DPWG). Furthermore, we explored the landscape of DPWG pharmacogenes in gnomAD and our in-house cohort as well as compared bioinformatic tools for WGS-based structural variant detection in . We show that although common/known PGx variants comprise the vast majority of detected DPWG pharmacogene alleles, for better precision medicine, PGx testing should move towards WGS-based approaches. Indeed, WGS-based PGx profiling is not only feasible and future-oriented but also the most comprehensive all-in-one approach without generating significant additional costs.
虽然有几种药物遗传学(PGx)倾向已经被证实会影响药物的疗效和安全性,但药物的选择和剂量以及临床试验通常都是以非药物遗传学分层的方式进行的,这最终给医疗保健系统带来了负担。预先进行 PGx 测试提供了一种解决方案,这种测试通常使用微阵列或靶向基因面板进行,以检测常见/已知的 PGx 变体。然而,作为附加价值,全基因组测序(WGS)不仅可以在单个检测中检测到导致疾病的变体,还可以检测到与药物遗传学相关的变体。在这里,我们提出了我们的基于 WGS 的管道,该管道扩展了孟德尔疾病的遗传测试,同时进行 PGx 分析,从而能够检测到罕见/新型的 PGx 变体。从我们 547 个人的内部 WGS(无 PCR 60× PE150)数据中,我们提取了具有荷兰药物遗传学工作组(DPWG)药物剂量建议的 PGx 变体。此外,我们还探索了 gnomAD 和我们内部队列中 DPWG 药物基因的景观,并比较了用于 WGS 结构变异检测的生物信息学工具。我们表明,尽管常见/已知的 PGx 变体构成了检测到的 DPWG 药物基因等位基因的绝大多数,但为了更好的精准医学,PGx 测试应该转向基于 WGS 的方法。事实上,基于 WGS 的 PGx 分析不仅是可行的、面向未来的,而且是最全面的一体化方法,不会产生显著的额外成本。