Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle, WA 98195, USA.
Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA.
Am J Hum Genet. 2020 Nov 5;107(5):932-941. doi: 10.1016/j.ajhg.2020.09.011. Epub 2020 Oct 26.
Harmonization of variant pathogenicity classification across laboratories is important for advancing clinical genomics. The two CLIA-accredited Electronic Medical Record and Genomics Network sequencing centers and the six CLIA-accredited laboratories and one research laboratory performing genome or exome sequencing in the Clinical Sequencing Evidence-Generating Research Consortium collaborated to explore current sources of discordance in classification. Eight laboratories each submitted 20 classified variants in the ACMG secondary finding v.2.0 genes. After removing duplicates, each of the 158 variants was annotated and independently classified by two additional laboratories using the ACMG-AMP guidelines. Overall concordance across three laboratories was assessed and discordant variants were reviewed via teleconference and email. The submitted variant set included 28 P/LP variants, 96 VUS, and 34 LB/B variants, mostly in cancer (40%) and cardiac (27%) risk genes. Eighty-six (54%) variants reached complete five-category (i.e., P, LP, VUS, LB, B) concordance, and 17 (11%) had a discordance that could affect clinical recommendations (P/LP versus VUS/LB/B). 21% and 63% of variants submitted as P and LP, respectively, were discordant with VUS. Of the 54 originally discordant variants that underwent further review, 32 reached agreement, for a post-review concordance rate of 84% (118/140 variants). This project provides an updated estimate of variant concordance, identifies considerations for LP classified variants, and highlights ongoing sources of discordance. Continued and increased sharing of variant classifications and evidence across laboratories, and the ongoing work of ClinGen to provide general as well as gene- and disease-specific guidance, will lead to continued increases in concordance.
实验室间变异致病性分类的协调对于推进临床基因组学至关重要。CLIA 认证的电子病历和基因组网络测序中心以及六个 CLIA 认证的实验室和一个从事基因组或外显子组测序的研究实验室共同协作,探索当前分类不一致的原因。八个实验室每个实验室提交了 20 个在 ACMG 二级发现 v.2.0 基因中分类的变异。在去除重复项后,每个 158 个变体都由另外两个实验室使用 ACMG-AMP 指南进行注释和独立分类。评估了三个实验室之间的总体一致性,并通过电话会议和电子邮件对不一致的变体进行了审查。提交的变体集包括 28 个 P/LP 变体、96 个 VUS 和 34 个 LB/B 变体,主要在癌症(40%)和心脏(27%)风险基因中。86 个(54%)变体达到了完全五类(即 P、LP、VUS、LB、B)的一致性,17 个(11%)变体的不一致性可能影响临床建议(P/LP 与 VUS/LB/B)。分别有 21%和 63%的提交为 P 和 LP 的变体与 VUS 不一致。在进一步审查的 54 个最初不一致的变体中,有 32 个达成了一致,审查后一致性率为 84%(118/140 个变体)。该项目提供了变体一致性的最新估计,确定了 LP 分类变体的考虑因素,并强调了当前不一致的来源。实验室间持续增加和增加变体分类和证据的共享,以及 ClinGen 提供一般以及基因和疾病特异性指导的持续工作,将导致一致性的持续提高。