应用长序列测序阐明复杂的药物基因组区域:原理验证

IF 2.9 3区 医学 Q2 GENETICS & HEREDITY
Maaike van der Lee, William J. Rowell, Roberta Menafra, Henk-Jan Guchelaar, Jesse J. Swen, Seyed Yahya Anvar
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引用次数: 9

摘要

药物基因组学在临床实践中的应用正逐渐成为护理标准。然而,由于药物基因的遗传结构复杂,目前并没有考虑到所有的遗传变异。在这里,我们通过分析一个特征良好的样本,展示了长读数测序在解析复杂药物基因方面的效用。该数据由长读数组成,经过处理后可解析相位单倍群。73%的药物基因被完全覆盖在一个阶段性单倍区块中,包括9/15个100%复杂的基因。药物基因的变异调用准确率很高,SNV 的召回率为 99.8%,准确率为 100%;Indels 的准确率为 98.7%,召回率为 98.0%。对于 DPWG 和 CPIC 指南中的大多数基因-药物相互作用,相关基因可以完全解析(分别为 62% 和 63%)。这些发现共同表明,长读程测序数据为阐明复杂的药物基因和单体型分期提供了大有可为的机会,同时还能保持变异调用的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle

Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle
The use of pharmacogenomics in clinical practice is becoming standard of care. However, due to the complex genetic makeup of pharmacogenes, not all genetic variation is currently accounted for. Here, we show the utility of long-read sequencing to resolve complex pharmacogenes by analyzing a well-characterised sample. This data consists of long reads that were processed to resolve phased haploblocks. 73% of pharmacogenes were fully covered in one phased haploblock, including 9/15 genes that are 100% complex. Variant calling accuracy in the pharmacogenes was high, with 99.8% recall and 100% precision for SNVs and 98.7% precision and 98.0% recall for Indels. For the majority of gene-drug interactions in the DPWG and CPIC guidelines, the associated genes could be fully resolved (62% and 63% respectively). Together, these findings suggest that long-read sequencing data offers promising opportunities in elucidating complex pharmacogenes and haplotype phasing while maintaining accurate variant calling.
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来源期刊
Pharmacogenomics Journal
Pharmacogenomics Journal 医学-药学
CiteScore
7.20
自引率
0.00%
发文量
35
审稿时长
6-12 weeks
期刊介绍: The Pharmacogenomics Journal is a print and electronic journal, which is dedicated to the rapid publication of original research on pharmacogenomics and its clinical applications. Key areas of coverage include: Personalized medicine Effects of genetic variability on drug toxicity and efficacy Identification and functional characterization of polymorphisms relevant to drug action Pharmacodynamic and pharmacokinetic variations and drug efficacy Integration of new developments in the genome project and proteomics into clinical medicine, pharmacology, and therapeutics Clinical applications of genomic science Identification of novel genomic targets for drug development Potential benefits of pharmacogenomics.
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