An Initial Survey of the Performances of Exome Variant Analysis and Clinical Reporting Among Diagnostic Laboratories in China

中国诊断实验室外显子组变异分析和临床报告绩效的初步调查

阅读:2
作者:Kuo Zhang ,Guigao Lin ,Dongsheng Han ,Yanxi Han ,Jian Wang ,Yiping Shen ,Jinming Li

Abstract

Exome sequencing has become an effective diagnostic method for Mendelian disorders. But the quality of services differs widely across laboratories in China, particularly in variant classification, even with the adoption of the ACMG guidelines. As an effort of quality control and improvement for better clinical utilization of exome sequencing, we assessed the exome data analysis and clinical reporting among Chinese laboratories. Five raw datasets of real clinical samples with associated phenotypes were sent to 53 laboratories. The participants independently performed secondary analysis, variant classification, and reporting. The first round of results was used for identifying problems associated with these aspects. Subsequently, we implemented several corrective actions and a training program was designed based on the identified issues. A second round of five datasets were sent to the same participants. We compared the performances in variant interpretation and reporting. A total of 85.7% (42/49) of participants correctly identified all the variants related with phenotype. Many lines of evidence using the ACMG guidelines were incorrectly utilized, which resulted in a large inter-laboratory discrepancy. After training, the evidence usage problems significantly improved, leading to a more consistent outcome. Participants improved their exome data analysis and clinical reporting capability. Targeted training and a deeper understanding of the ACMG guidelines helped to improve the clinical exome sequencing service in terms of consistency and accuracy in variant classification in China. Keywords: clinical reporting; exome sequencing; laboratory performance; variant analysis; variant interpretation.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。