Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.
Molecular Oncology Laboratory, CIBERONC, Hospital Clinico San Carlos, IdISSC (Instituto de Investigación Sanitaria del Hospital Clínico San Carlos), Madrid, Spain.
Am J Hum Genet. 2023 Jul 6;110(7):1046-1067. doi: 10.1016/j.ajhg.2023.06.002. Epub 2023 Jun 22.
The American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) framework for classifying variants uses six evidence categories related to the splicing potential of variants: PVS1, PS3, PP3, BS3, BP4, and BP7. However, the lack of guidance on how to apply such codes has contributed to variation in the specifications developed by different Clinical Genome Resource (ClinGen) Variant Curation Expert Panels. The ClinGen Sequence Variant Interpretation Splicing Subgroup was established to refine recommendations for applying ACMG/AMP codes relating to splicing data and computational predictions. We utilized empirically derived splicing evidence to (1) determine the evidence weighting of splicing-related data and appropriate criteria code selection for general use, (2) outline a process for integrating splicing-related considerations when developing a gene-specific PVS1 decision tree, and (3) exemplify methodology to calibrate splice prediction tools. We propose repurposing the PVS1_Strength code to capture splicing assay data that provide experimental evidence for variants resulting in RNA transcript(s) with loss of function. Conversely, BP7 may be used to capture RNA results demonstrating no splicing impact for intronic and synonymous variants. We propose that the PS3/BS3 codes are applied only for well-established assays that measure functional impact not directly captured by RNA-splicing assays. We recommend the application of PS1 based on similarity of predicted RNA-splicing effects for a variant under assessment in comparison with a known pathogenic variant. The recommendations and approaches for consideration and evaluation of RNA-assay evidence described aim to help standardize variant pathogenicity classification processes when interpreting splicing-based evidence.
美国医学遗传学与基因组学学院(ACMG)/分子病理学协会(AMP)的变异分类框架使用了六个与变体剪接潜能相关的证据类别:PVS1、PS3、PP3、BS3、BP4 和 BP7。然而,由于缺乏如何应用这些代码的指南,导致不同临床基因组资源(ClinGen)变异管理专家小组制定的规范存在差异。建立 ClinGen 序列变异解释剪接小组,是为了完善与剪接数据和计算预测相关的 ACMG/AMP 代码应用建议。我们利用经验得出的剪接证据来:(1) 确定与剪接相关数据的证据权重以及一般用途的适当标准代码选择;(2) 概述在开发特定基因的 PVS1 决策树时纳入与剪接相关考虑的过程;(3) 举例说明校准剪接预测工具的方法。我们建议重新利用 PVS1_Strength 代码,以捕捉提供导致 RNA 转录本(功能丧失)的变异的实验证据的剪接检测数据。相反,BP7 可用于捕捉表明内含子和同义变异无剪接影响的 RNA 结果。我们建议仅将 PS3/BS3 代码应用于可直接测量 RNA 剪接检测的功能影响的既定检测。我们建议根据评估中的变体与已知致病性变体的预测 RNA 剪接效应的相似性,应用 PS1。描述的 RNA 检测证据的考虑和评估建议和方法旨在帮助标准化解释基于剪接的证据时的变异致病性分类过程。