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基于基因芯片平台验证大型定制设计的药物基因组学检测 panel。

Validation of a Large Custom-Designed Pharmacogenomics Panel on an Array Genotyping Platform.

机构信息

Department of Pathology, Advanced Technology Clinical Laboratory, The University of Chicago, Chicago, IL.

Center for Personalized Therapeutics, The University of Chicago, Chicago, IL.

出版信息

J Appl Lab Med. 2021 Nov 1;6(6):1505-1516. doi: 10.1093/jalm/jfab056.

Abstract

BACKGROUND

Pharmacogenomics has the potential to improve patient outcomes through predicting drug response. We designed and evaluated the analytical performance of a custom OpenArray® pharmacogenomics panel targeting 478 single-nucleotide variants (SNVs).

METHODS

Forty Coriell Institute cell line (CCL) DNA samples and DNA isolated from 28 whole-blood samples were used for accuracy evaluation. Genotyping calls were compared to at least 1 reference method: next-generation sequencing, Sequenom MassARRAY®, or Sanger sequencing. For precision evaluation, 23 CCL samples were analyzed 3 times and reproducibility of the assays was assessed. For sensitivity evaluation, 6 CCL samples and 5 whole-blood DNA samples were analyzed at DNA concentrations of 10 ng/µL and 50 ng/µL, and their reproducibility and genotyping call rates were compared.

RESULTS

For 443 variants, all samples assayed had concordant calls with at least 1 reference genotype and also demonstrated reproducibility. However, 6 of these 443 variants showed an unsatisfactory performance, such as low PCR amplification or insufficient separation of genotypes in scatter plots. Call rates were comparable between 50 ng/µL DNA (99.6%) and 10 ng/µL (99.2%). Use of 10 ng/µL DNA resulted in an incorrect call for a single sample for a single variant. Thus, as recommended by the manufacturer, 50 ng/µL is the preferred concentration for patient genotyping.

CONCLUSIONS

We evaluated a custom-designed pharmacogenomics panel and found that it reliably interrogated 437 variants. Clinically actionable results from selected variants on this panel are currently used in clinical studies employing pharmacogenomics for clinical decision-making.

摘要

背景

药物基因组学有可能通过预测药物反应来改善患者的治疗效果。我们设计并评估了一个针对 478 个单核苷酸变异(SNV)的定制 OpenArray®药物基因组学面板的分析性能。

方法

40 个科里尔研究所细胞系(CCL)DNA 样本和 28 个全血样本的 DNA 用于准确性评估。基因分型结果与至少 1 种参考方法(下一代测序、Sequenom MassARRAY®或 Sanger 测序)进行比较。为了进行精密度评估,对 23 个 CCL 样本进行了 3 次分析,并评估了测定的重现性。为了进行灵敏度评估,分析了 6 个 CCL 样本和 5 个全血 DNA 样本,在 DNA 浓度为 10ng/µL 和 50ng/µL 时,比较了它们的重现性和基因分型成功率。

结果

对于 443 个变异,所有测定的样本均与至少 1 种参考基因型具有一致的结果,且具有重现性。然而,这 443 个变异中有 6 个表现出不理想的性能,例如 PCR 扩增率低或散点图中基因型的分离不足。在 50ng/µL DNA(99.6%)和 10ng/µL DNA(99.2%)之间,基因分型成功率相当。在使用 10ng/µL DNA 时,对于一个单一样本的一个单一变异,出现了错误的基因分型结果。因此,根据制造商的建议,50ng/µL 是患者基因分型的首选浓度。

结论

我们评估了一个定制设计的药物基因组学面板,发现它能够可靠地检测 437 个变异。目前,该面板上选定变异的临床可操作结果正用于药物基因组学指导临床决策的临床研究中。

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