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ClinPharmSeq:用于临床药物基因组学实施的靶向测序面板。

ClinPharmSeq: A targeted sequencing panel for clinical pharmacogenetics implementation.

机构信息

Macrogen Inc, Seoul, Republic of Korea.

Asian Genome Center, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea.

出版信息

PLoS One. 2022 Jul 28;17(7):e0272129. doi: 10.1371/journal.pone.0272129. eCollection 2022.

DOI:10.1371/journal.pone.0272129
PMID:35901010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9333201/
Abstract

The accurate identification of genetic variants contributing to therapeutic drug response or adverse effects is the first step in implementation of precision drug therapy. Targeted sequencing has recently become a common methodology for large-scale studies of genetic variation thanks to its favorable balance between low cost, high throughput, and deep coverage. Here, we present ClinPharmSeq, a targeted sequencing panel of 59 genes with associations to pharmacogenetic (PGx) phenotypes, as a platform to explore the relationship between drug response and genetic variation, both common and rare. For validation, we sequenced DNA from 64 ethnically diverse Coriell samples with ClinPharmSeq to call star alleles (haplotype patterns) in 27 genes using the bioinformatics tool PyPGx. These reference samples were extensively characterized by multiple laboratories using PGx testing assays and, more recently, whole genome sequencing. We found that ClinPharmSeq can consistently generate deep-coverage data (mean = 274x) with high uniformity (30x or above = 94.8%). Our genotype analysis identified a total of 185 unique star alleles from sequencing data, and showed that diplotype calls from ClinPharmSeq are highly concordant with that from previous publications (97.6%) and whole genome sequencing (97.9%). Notably, all 19 star alleles with complex structural variation including gene deletions, duplications, and hybrids were recalled with 100% accuracy. Altogether, these results demonstrate that the ClinPharmSeq platform offers a feasible path for broad implementation of PGx testing and optimization of individual drug treatments.

摘要

准确识别导致治疗药物反应或不良反应的遗传变异是实施精准药物治疗的第一步。靶向测序由于其成本低、高通量和深度覆盖的良好平衡,最近已成为遗传变异大规模研究的常用方法。在这里,我们提出了 ClinPharmSeq,这是一个与药物遗传学(PGx)表型相关的 59 个基因的靶向测序面板,作为探索药物反应与遗传变异(常见和罕见)之间关系的平台。为了验证,我们使用生物信息学工具 PyPGx 对来自 64 个具有不同种族的 Coriell 样本的 DNA 进行了 ClinPharmSeq 测序,以对 27 个基因中的星等位基因(单倍型模式)进行测序。这些参考样本已由多个实验室使用 PGx 测试试剂盒进行了广泛的特征描述,最近还使用了全基因组测序。我们发现 ClinPharmSeq 可以始终如一地生成具有高均匀性(30x 或更高=94.8%)的深度覆盖数据(平均值=274x)。我们的基因型分析从测序数据中总共鉴定出 185 个独特的星等位基因,并表明 ClinPharmSeq 的二倍体型调用与以前的出版物(97.6%)和全基因组测序(97.9%)高度一致。值得注意的是,所有 19 个具有复杂结构变异(包括基因缺失、重复和杂种)的星等位基因的召回准确率均为 100%。总而言之,这些结果表明 ClinPharmSeq 平台为广泛实施 PGx 测试和优化个体药物治疗提供了可行的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d564/9333201/bc8ba4be91e1/pone.0272129.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d564/9333201/0e04fffcb8f2/pone.0272129.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d564/9333201/499dc20ba445/pone.0272129.g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d564/9333201/bc8ba4be91e1/pone.0272129.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d564/9333201/0e04fffcb8f2/pone.0272129.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d564/9333201/bc1bf3e9fb72/pone.0272129.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d564/9333201/bc114c610f59/pone.0272129.g003.jpg
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