Clinical impact of pharmacogenomics in pediatric care: insights extracted from clinical exome sequencing.

IF 2.8 3区 生物学 Q2 GENETICS & HEREDITY
Frontiers in Genetics Pub Date : 2025-05-29 eCollection Date: 2025-01-01 DOI:10.3389/fgene.2025.1574325
Simran Maggo, Yachen Pan, Dejerianne Ostrow, Jenny Q Nguyen, Jaclyn A Biegel, Matthew A Deardorff, Xiaowu Gai
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引用次数: 0

Abstract

Introduction: Pharmacogenomic (PGx) testing improves drug efficacy and reduces risk of toxicity for commonly prescribed medications, with most pharmacogenomic studies largely focused on individuals of European descent to date. The impact of pharmacogenomic testing in a racially diverse population is still emerging, especially for Admixed American patients.

Methods: In this study, we assessed the frequency of actionable PGx variants by analyzing anonymized exome sequencing data of a racially diverse cohort of 1777 pediatric patients, collected for routine clinical genetic diagnosis at Children's Hospital Los Angeles (CHLA). Utilizing exome data, we used the Illumina DRAGEN germline pipeline v4.2, to determine the predicted phenotypes of 25 pharmacogenes including HLA-A and HLA-B, including CPIC Level A genes and genes recommended for PGx testing by the U.S. Food and Drug Administration. To assess cross-platform consistency, we compared our results to those generated by PyPGx, a pharmacogenomic genotyping tool developed by the same author as Stargazer. As the distribution of PGx alleles is ancestry specific, we estimated genetic ancestry bioinformatically using the Somalier tool.

Results: Genetic ancestry analysis demonstrated that 62% of our cohort was Admixed American, followed by 23% European, 8% East Asian, 5% African American, and 2% South East Asian. Actionability analysis showed that: 1) 93% of all exome cases had at least one actionable PGx phenotype, 2) one in five cases (22%) had at least three actionable PGx phenotypes, and 3) CYP2B6 (54%) and CYP2D6 (33%) had the highest number of actionable phenotypes. Further analysis revealed notable differences, including higher rates of poor metabolizers for CYP2B6 and variations in CYP2D6 metabolizer statuses, in PGx phenotypes compared to previously collated frequencies in the PharmGKB database, especially within the Admixed American population.

Discussion: In conclusion, our study reinforces the importance of PGx testing, underscores the diversity of PGx variation in ancestral backgrounds, and supports the clinical utility of preemptive PGx testing using exome or genome sequencing approaches.

药物基因组学在儿科护理中的临床影响:来自临床外显子组测序的见解。
药物基因组学(PGx)测试提高了药物疗效,降低了常用处方药的毒性风险,迄今为止,大多数药物基因组学研究主要集中在欧洲血统的个体上。药物基因组学测试对不同种族人群的影响仍在显现,尤其是对混血美国患者。方法:在这项研究中,我们通过分析1777名不同种族的儿童患者的匿名外显子组测序数据来评估可操作的PGx变异的频率,这些患者收集在洛杉矶儿童医院(CHLA)进行常规临床遗传诊断。利用外显子组数据,我们使用Illumina DRAGEN种系管道v4.2,确定25个药物基因的预测表型,包括HLA-A和HLA-B,包括CPIC A级基因和美国食品和药物管理局推荐用于PGx检测的基因。为了评估跨平台一致性,我们将我们的结果与PyPGx产生的结果进行了比较,PyPGx是由Stargazer的同一作者开发的药物基因组基因分型工具。由于PGx等位基因的分布具有祖先特异性,我们使用Somalier工具进行生物信息学估计遗传祖先。结果:遗传祖先分析表明,我们的队列中有62%是混血儿美国人,其次是23%的欧洲人,8%的东亚人,5%的非洲裔美国人和2%的东南亚人。可操作性分析表明:1)93%的外显子组病例具有至少一种可操作的PGx表型,2)五分之一(22%)的病例具有至少三种可操作的PGx表型,3)CYP2B6(54%)和CYP2D6(33%)具有最多的可操作表型。进一步的分析显示,与先前在PharmGKB数据库中整理的频率相比,PGx表型中CYP2B6代谢不良者的比例更高,CYP2D6代谢状态的变化,特别是在混合美国人群中。讨论:总之,我们的研究强调了PGx检测的重要性,强调了PGx在祖先背景中的多样性变异,并支持使用外显子组或基因组测序方法进行预防性PGx检测的临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Genetics
Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍: Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.
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