Health in Code S. L., Science Department, A Coruña. Spain. Biomedical Research Institute, A Coruña. Spain..
Health in Code S. L., Science Department, A Coruña. Spain..
Farm Hosp. 2020 Sep 30;44(6):243-253. doi: 10.7399/fh.11353.
The rapid clinical implementation of next generation sequencing techniques is due to its ability to sequence a large number of genetic regions at lower costs than conventional techniques. However, its use in the field of pharmacogenetics is still very limited.
Design, development, implementation and validation of a clinical pharmacogenetics next-generation sequencing panel.
We developed a panel of hybrid capture probes (SureSelect®) for the analysis of the genetic regions of clinical interest collected by literature search and using Illumina HiSeq 1500® sequencing platform. We developed a bioinformatic algorithm for variant annotation, haplotype inference and determination of structural variants in the genes of interest. The results obtained were validated with Coriell® reference material from the pharmacogenetic repositories.
The developed panel allows the study of a total of 12,794 regions comprised in 389 genes. Validation results showed a sensitivity greater than 99% for single nucleotide variants and small INDELs. Haplotype imputation was consistent with the consensus results in the characterized reference materials. Furthermore, the developed tool was able to correctly identify different types of CYP2D6 copy number variations as well as a wide variety of HLA-B alleles.
This technology represents an appropriate alternative for its clinical use with advantages over conventional techniques in its throughput and complex gene study capabilities (CYP2D6, HLA-B).
下一代测序技术的快速临床应用得益于其能够以比传统技术更低的成本对大量遗传区域进行测序。然而,它在药物遗传学领域的应用仍然非常有限。
设计、开发、实施和验证一个临床药物遗传学下一代测序面板。
我们开发了一个杂交捕获探针(SureSelect®)的面板,用于分析通过文献检索收集的临床感兴趣的遗传区域,并使用 Illumina HiSeq 1500®测序平台。我们开发了一个用于变异注释、单倍型推断和感兴趣基因结构变异检测的生物信息学算法。使用来自药物遗传学存储库的 Coriell®参考材料对获得的结果进行了验证。
开发的面板允许研究总共 12794 个区域,包含 389 个基因。验证结果表明,单核苷酸变异和小 INDEL 的灵敏度大于 99%。单倍型推断与经过表征的参考材料中的共识结果一致。此外,开发的工具能够正确识别不同类型的 CYP2D6 拷贝数变异以及广泛的 HLA-B 等位基因。
这项技术代表了其临床应用的一种合适替代方案,与传统技术相比,其在通量和复杂基因研究能力(CYP2D6、HLA-B)方面具有优势。