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基于证据的基因特异性 ACMG/AMP 变异分类推荐意见,来自 ClinGen ENIGMA BRCA1 和 BRCA2 变异 curation 专家小组。

Evidence-based recommendations for gene-specific ACMG/AMP variant classification from the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel.

机构信息

Population Health, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.

Molecular Oncology Laboratory, Hospital Clínico San Carlos, IdISSC, 28040 Madrid Spain.

出版信息

Am J Hum Genet. 2024 Sep 5;111(9):2044-2058. doi: 10.1016/j.ajhg.2024.07.013. Epub 2024 Aug 13.

Abstract

The ENIGMA research consortium develops and applies methods to determine clinical significance of variants in hereditary breast and ovarian cancer genes. An ENIGMA BRCA1/2 classification sub-group, formed in 2015 as a ClinGen external expert panel, evolved into a ClinGen internal Variant Curation Expert Panel (VCEP) to align with Food and Drug Administration recognized processes for ClinVar contributions. The VCEP reviewed American College of Medical Genetics and Genomics/Association of Molecular Pathology (ACMG/AMP) classification criteria for relevance to interpreting BRCA1 and BRCA2 variants. Statistical methods were used to calibrate evidence strength for different data types. Pilot specifications were tested on 40 variants and documentation revised for clarity and ease of use. The original criterion descriptions for 13 evidence codes were considered non-applicable or overlapping with other criteria. Scenario of use was extended or re-purposed for eight codes. Extensive analysis and/or data review informed specification descriptions and weights for all codes. Specifications were applied to pilot variants with pre-existing ClinVar classification as follows: 13 uncertain significance or conflicting, 14 pathogenic and/or likely pathogenic, and 13 benign and/or likely benign. Review resolved classification for 11/13 uncertain significance or conflicting variants and retained or improved confidence in classification for the remaining variants. Alignment of pre-existing ENIGMA research classification processes with ACMG/AMP classification guidelines highlighted several gaps in the research processes and the baseline ACMG/AMP criteria. Calibration of evidence strength was key to justify utility and strength of different data types for gene-specific application. The gene-specific criteria demonstrated value for improving ACMG/AMP-aligned classification of BRCA1 and BRCA2 variants.

摘要

ENIGMA 研究联盟开发并应用方法来确定遗传性乳腺癌和卵巢癌基因变异的临床意义。作为 ClinGen 外部专家小组于 2015 年成立的 ENIGMA BRCA1/2 分类子组,演变为 ClinGen 内部变异体管理专家小组(VCEP),以符合食品和药物管理局认可的 ClinVar 贡献过程。VCEP 审查了美国医学遗传学和基因组学学院/分子病理学协会(ACMG/AMP)的相关性分类标准,以解释 BRCA1 和 BRCA2 变异。使用统计方法对不同数据类型的证据强度进行校准。在 40 个变体上测试了试点规范,并修订了文档以提高清晰度和易用性。最初的 13 个证据代码的标准描述被认为不适用或与其他标准重叠。为 8 个代码扩展或重新制定了使用场景。对所有代码进行了广泛的分析和/或数据审查,以通知规范描述和权重。规范应用于具有预先存在的 ClinVar 分类的试点变体,结果如下:13 个不确定意义或相互矛盾,14 个致病性和/或可能致病性,以及 13 个良性和/或可能良性。审查解决了 11/13 个不确定意义或相互矛盾的变体的分类问题,并保留或提高了对其余变体分类的信心。与 ACMG/AMP 分类指南的预先存在的 ENIGMA 研究分类过程的对齐突出了研究过程和基线 ACMG/AMP 标准中的几个差距。证据强度的校准是为基因特异性应用 justify 不同数据类型的实用性和强度的关键。基因特异性标准对于提高与 ACMG/AMP 对齐的 BRCA1 和 BRCA2 变体分类具有价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23a8/11393667/28bfa9be535b/fx1.jpg

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