检验医学 ›› 2025, Vol. 40 ›› Issue (2): 160-164.DOI: 10.3969/j.issn.1673-8640.2025.02.010

• 精准医疗时代遗传性疾病基因检测专题 • 上一篇    下一篇

上海地区遗传病基因变异高通量测序项目室间质量评价分析

鲍芸1, 郁婷婷2, 权静1, 尹刘翻1, 张芃胤1, 肖艳群1()   

  1. 1.上海市临床检验中心,上海 200126
    2.上海交通大学医学院附属上海儿童医学中心,上海 200127
  • 收稿日期:2024-12-24 修回日期:2025-01-16 出版日期:2025-02-28 发布日期:2025-03-07
  • 通讯作者: 肖艳群,E-mail:xiaoyanqun@sccl.org.cn
  • 作者简介:鲍芸,女,1983年生,博士,副主任技师,主要从事临床分子生物学检验和质量控制工作。
  • 基金资助:
    上海市卫生健康委员会卫生行业临床研究专项(202240271);上海市“医苑新星”青年医学人才培养资助计划(沪卫人事〔2022〕65号);上海市临床检验中心学科人才培养计划(2024RCJH-02)

Result analysis of external quality assessment of next-generation sequencing for genetic testing of inherited diseases in Shanghai

BAO Yun1, YU Tingting2, QUAN Jing1, YIN Liufan1, ZHANG Pengyin1, XIAO Yanqun1()   

  1. 1. Shanghai Center for Clinical Laboratory,Shanghai 200126,China
    2. Shanghai Children's Medical Center,Shanghai Jiao Tong University School of Medicine,Shanghai 200127,China
  • Received:2024-12-24 Revised:2025-01-16 Online:2025-02-28 Published:2025-03-07

摘要:

目的 通过开展遗传病基因变异高通量测序项目室间质量评价计划,评估参评实验室的检测能力,提高检测质量。方法 2024年室间质量评价样本盘包含普拉德-威利综合征(PWS)、杜氏进行性肌营养不良症(DMD)和亨廷顿舞蹈症(HD)3种遗传病的阳性样本,涉及拷贝数变异(CNV)和动态突变2种变异类型,共3支样本,类型为细胞培养物。要求参评实验室收到样本后在规定时间内检测样本,并网上上报检测结果。依据上报信息,汇总不同样本的总体符合率,并分析参评实验室检测基本情况、“湿实验”(实验室操作)检测相关信息、生物信息学分析流程、检测相关质控情况。结果 有16家实验室参加遗传病基因变异高通量测序项目室间质量评价计划,共收到11份有效回报结果。CNV检测符合率为100.0%(22/22),动态突变符合率为81.8%(9/11),样本变异检出的总体符合率为93.9%(31/33)。11家回报有效结果的参评实验室中,有8家(72.7%)“湿实验”和“干实验”均自行完成,其他3家均存在不同程度的外送情况;有9家(81.8%)实验室采用WES进行检测,有2家(19.2%)采用全基因组测序(WGS)进行检测。11家实验室检测范围均能覆盖单核苷酸变异(SNV)、小的插入/缺失(InDel)和CNV类型,但CNV检测范围有一定差异。所有33个样本的测序数据质量整体较高,达到Q30标准的测序数据占91.60%~96.91%。采用WES检测的27个样本的探针捕获效率差异较大(49.20%~87.91%)。11家实验室均规定了测序文库最低浓度,但对其他环节的质控要求各异。结论 上海地区部分实验室针对某些特定变异类型的检测水平有待提高。基于高通量测序的遗传病基因变异检测流程和关键环节质控还有待进一步改进。

关键词: 高通量测序, 基因变异, 遗传病, 室间质量评价, 上海

Abstract:

Objective To evaluate the performance of next-generation sequencing for genetic testing of inherited diseases in external quality assessment(EQA) program and improve the quality of detection results. Methods In 2024 EQA program,3 different neurogenetic disorders including Prader-Willi syndrome(PWS),Duchenne muscular dystrophy(DMD) and Huntington's disease(HD) were investigated. Totally,2 types of genetic variations of copy number variations(CNV) and dynamic mutations were involved. The sample panel consisted of 3 different cell cultures. Participating laboratories were asked to report the results before deadlines. The overall coincidence of detection and report of the pathogenic variations were calculated,and the basic next-generation sequencing conditions,wet-lab procedure,bioinformatics analysis workflow,quality control measures were also analyzed. Results A total of 16 laboratories enrolled in the EQA program and 11 valid laboratory results were received in the EQA program. The coincidence rate of CNV and dynamic mutations were 100.0%(22/22) and 81.8%(9/11),respectively. The overall coincidence rates were 93.9%(31/33). Among the 11 laboratories that returned valid results,8(72.7%) completed both "wet lab" and "dry lab" procedure independently,while the other 3 laboratories had different levels of testing outsourcing. The 9(81.8%) employed whole-exome sequencing(WES),and 2(19.2%) used whole-genome sequencing(WGS). The detection scope of all 11 laboratories covered single nucleotide variations(SNV),small insertions-deletion(InDel),as well as CNV,but varied in CNV detection range. The overall quality of sequencing data for all the 33 samples was high,with the proportion of sequencing data meeting the Q30 standard ranging from 91.60% to 96.91%. The probe capture efficiency of the 27 samples for WES varied(49.20%-87.91%). All the 11 laboratories specified the minimum concentration of sequencing libraries,but the quality control requirements for other steps varied. Conclusions Some laboratories in Shanghai need to enhance their detection capabilities for specific mutation types. There is a need for additional improvements in the experimental procedure as well as quality control of NGS applications for detecting genetic variations.

Key words: Inherited disease, Genetic variation, Next-generation sequencing, External quality assessment, Shanghai

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