Enhancing the Reliability of PMP22 Copy Number Variation Detection with an Inherited Peripheral Neuropathy Panel

IF 3.4 3区 医学 Q1 PATHOLOGY Journal of Molecular Diagnostics Pub Date : 2024-02-01 DOI:10.1016/j.jmoldx.2024.01.004
Jong Kwon Lee , Hyemi Kwon , Jong-Ho Park , Mi-Ae Jang , Young-gon Kim , Jong-Won Kim , Byung-Ok Choi , Ja-Hyun Jang
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Abstract

The utility of the next-generation sequencing (NGS) panel could be increased in hereditary peripheral neuropathies, given that the duplication of PMP22 is a major abnormality. In the present study, the analytical performance of an algorithm for detecting PMP22 copy number variation (CNV) from the NGS panel data was evaluated. The NGS panel covers 141 genes, including PMP22 and five genes within 1.5-megabase duplicated region at 17p11.2. CNV calling was performed using a laboratory-developed algorithm. Among the 92 cases subjected to targeted NGS panel from March 2018 to January 2021, 26 were suggestive of PMP22 CNV. Multiplex ligation-dependent probe amplification analysis was performed in 58 cases, and the results were 100% concordant with the NGS data (23 duplications, 2 deletions, and 33 negatives). Analytical performance of the pipeline was further validated by another blind data set, including 14 positive and 20 negative samples. Reliable detection of PMP22 CNV was possible by analyzing not only PMP22 but also the adjacent genes within the 1.5-megabase region of 17p11.2. On the basis of the high accuracy of CNV calling for PMP22, the testing strategy for diagnosis of peripheral polyneuropathies could be simplified by reducing the need for multiplex ligation-dependent probe amplification.

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利用遗传性周围神经病样本提高 PMP22 拷贝数变异检测的可靠性
鉴于 PMP22 的重复是一种主要异常,下一代测序(NGS)面板在遗传性周围神经病中的应用可能会增加。本研究评估了从 NGS 面板数据中检测 PMP22 拷贝数变异(CNV)的算法的分析性能。NGS 面板涵盖 141 个基因,包括 PMP22 和 17p11.2 1.5-Mb 重复区域内的 5 个基因。CNV 调用采用实验室开发的算法进行。在2018年3月至2021年1月接受靶向NGS面板检测的92例病例中,有26例提示PMP22 CNV。对 58 例病例进行了多重连接依赖性探针扩增分析,结果与 NGS 数据 100%吻合(23 例重复,2 例缺失,33 例阴性)。另一个盲数据集(包括 14 个阳性样本和 20 个阴性样本)进一步验证了该管道的分析性能。不仅分析了 PMP22,还分析了 17p11.2 1.5-Mb 区域内的邻近基因,从而可靠地检测了 PMP22 CNV。基于 PMP22 CNV 呼唤的高准确性,诊断外周多发性神经病的检测策略可以简化,减少多重连接依赖探针扩增的需要。
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来源期刊
CiteScore
8.10
自引率
2.40%
发文量
143
审稿时长
43 days
期刊介绍: The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.
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