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

IF 8.1 1区 生物学 Q1 GENETICS & HEREDITY
American journal of human genetics Pub Date : 2024-09-05 Epub Date: 2024-08-13 DOI:10.1016/j.ajhg.2024.07.013
Michael T Parsons, Miguel de la Hoya, Marcy E Richardson, Emma Tudini, Michael Anderson, Windy Berkofsky-Fessler, Sandrine M Caputo, Raymond C Chan, Melissa S Cline, Bing-Jian Feng, Cristina Fortuno, Encarna Gomez-Garcia, Johanna Hadler, Susan Hiraki, Megan Holdren, Claude Houdayer, Kathleen Hruska, Paul James, Rachid Karam, Huei San Leong, Alexandra Martins, Arjen R Mensenkamp, Alvaro N Monteiro, Vaishnavi Nathan, Robert O'Connor, Inge Sokilde Pedersen, Tina Pesaran, Paolo Radice, Gunnar Schmidt, Melissa Southey, Sean Tavtigian, Bryony A Thompson, Amanda E Toland, Clare Turnbull, Maartje J Vogel, Jamie Weyandt, George A R Wiggins, Lauren Zec, Fergus J Couch, Logan C Walker, Maaike P G Vreeswijk, David E Goldgar, Amanda B Spurdle
{"title":"Evidence-based recommendations for gene-specific ACMG/AMP variant classification from the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel.","authors":"Michael T Parsons, Miguel de la Hoya, Marcy E Richardson, Emma Tudini, Michael Anderson, Windy Berkofsky-Fessler, Sandrine M Caputo, Raymond C Chan, Melissa S Cline, Bing-Jian Feng, Cristina Fortuno, Encarna Gomez-Garcia, Johanna Hadler, Susan Hiraki, Megan Holdren, Claude Houdayer, Kathleen Hruska, Paul James, Rachid Karam, Huei San Leong, Alexandra Martins, Arjen R Mensenkamp, Alvaro N Monteiro, Vaishnavi Nathan, Robert O'Connor, Inge Sokilde Pedersen, Tina Pesaran, Paolo Radice, Gunnar Schmidt, Melissa Southey, Sean Tavtigian, Bryony A Thompson, Amanda E Toland, Clare Turnbull, Maartje J Vogel, Jamie Weyandt, George A R Wiggins, Lauren Zec, Fergus J Couch, Logan C Walker, Maaike P G Vreeswijk, David E Goldgar, Amanda B Spurdle","doi":"10.1016/j.ajhg.2024.07.013","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":7659,"journal":{"name":"American journal of human genetics","volume":" ","pages":"2044-2058"},"PeriodicalIF":8.1000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11393667/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of human genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.ajhg.2024.07.013","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

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.

来自 ClinGen ENIGMA BRCA1 和 BRCA2 变异编辑专家小组的基于证据的 ACMG/AMP 特异基因变异分类建议。
ENIGMA 研究联盟开发并应用确定遗传性乳腺癌和卵巢癌基因变异临床意义的方法。2015 年成立的 ENIGMA BRCA1/2 分类子小组是 ClinGen 的外部专家小组,后来发展成为 ClinGen 内部的变异体整理专家小组 (VCEP),以便与食品药品管理局认可的 ClinVar 投稿流程保持一致。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) 的分类标准,以确定其与 BRCA1 和 BRCA2 变异的相关性。统计方法用于校准不同数据类型的证据强度。对 40 个变异体进行了试验性规范测试,并对文档进行了修订,以提高清晰度和易用性。13 个证据代码的原始标准描述被认为不适用或与其他标准重叠。对 8 个代码的使用场景进行了扩展或重新设计。广泛的分析和/或数据审查为所有代码的规范描述和权重提供了依据。规范适用于已存在 ClinVar 分类的试点变体,具体如下:13 个意义不确定或有冲突,14 个致病和/或可能致病,13 个良性和/或可能良性。审查解决了 11/13 个意义不确定或有冲突的变异体的分类问题,保留或提高了其余变异体分类的可信度。将 ENIGMA 先前的研究分类流程与 ACMG/AMP 分类指南进行比对,突出显示了研究流程与 ACMG/AMP 基线标准之间的一些差距。证据强度的校准是证明不同数据类型在特定基因应用中的效用和强度的关键。基因特异性标准显示了改进 ACMG/AMP BRCA1 和 BRCA2 变异分类的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
14.70
自引率
4.10%
发文量
185
审稿时长
1 months
期刊介绍: The American Journal of Human Genetics (AJHG) is a monthly journal published by Cell Press, chosen by The American Society of Human Genetics (ASHG) as its premier publication starting from January 2008. AJHG represents Cell Press's first society-owned journal, and both ASHG and Cell Press anticipate significant synergies between AJHG content and that of other Cell Press titles.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信