Yang Shan, Cline Melissa, Zhang Can, Paten Benedict, Lincoln Stephen E
Invitae, San Francisco, California, USA,
Pac Symp Biocomput. 2017;22:166-176. doi: 10.1142/9789813207813_0017.
Open sharing of clinical genetic data promises to both monitor and eventually improve the reproducibility of variant interpretation among clinical testing laboratories. A significant public data resource has been developed by the NIH ClinVar initiative, which includes submissions from hundreds of laboratories and clinics worldwide. We analyzed a subset of ClinVar data focused on specific clinical areas and we find high reproducibility (>90% concordance) among labs, although challenges for the community are clearly identified in this dataset. We further review results for the commonly tested BRCA1 and BRCA2 genes, which show even higher concordance, although the significant fragmentation of data into different silos presents an ongoing challenge now being addressed by the BRCA Exchange. We encourage all laboratories and clinics to contribute to these important resources.
临床遗传数据的开放共享有望监测并最终提高临床检测实验室之间变异解读的可重复性。美国国立卫生研究院(NIH)的ClinVar计划开发了一个重要的公共数据资源,其中包括来自全球数百个实验室和诊所的提交数据。我们分析了ClinVar数据中专注于特定临床领域的一个子集,发现实验室之间具有很高的可重复性(一致性>90%),尽管在该数据集中明确识别出了该领域面临的挑战。我们进一步审查了常见检测的BRCA1和BRCA2基因的结果,其显示出更高的一致性,尽管数据严重分散在不同的数据库中,这是一个目前BRCA交换平台正在解决的持续挑战。我们鼓励所有实验室和诊所为这些重要资源做出贡献。