ACMG/AMP interpretation of BRCA1 missense variants: Structure-informed scores add evidence strength granularity to the PP3/BP4 computational evidence.

IF 8.1 1区 生物学 Q1 GENETICS & HEREDITY
American journal of human genetics Pub Date : 2025-05-01 Epub Date: 2025-04-14 DOI:10.1016/j.ajhg.2024.12.011
Lobna Ramadane-Morchadi, Nitsan Rotenberg, Ada Esteban-Sánchez, Cristina Fortuno, Alicia Gómez-Sanz, Matthew J Varga, Adam Chamberlin, Marcy E Richardson, Kyriaki Michailidou, Pedro Pérez-Segura, Amanda B Spurdle, Miguel de la Hoya
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引用次数: 0

Abstract

Classification of missense variants is challenging. Lacking compelling clinical and/or functional data, ACMG/AMP lines of evidence are restricted to PM2 (rarity code applied at supporting level) and PP3/BP4 (computational evidence based mostly on multiple-sequence-alignment conservation tools). Currently, the ClinGen ENIGMA BRCA1/2 Variant Curation Expert Panel uses BayesDel to apply PP3/BP4 to missense variants located in the BRCA1 RING/BRCT domains. The ACMG/AMP framework does not refer explicitly to protein structure as a putative source of pathogenic/benign evidence. Here, we tested the value of incorporating structure-based evidence such as relative solvent accessibility (RSA), folding stability (ΔΔG), and/or AlphaMissense pathogenicity to the classification of BRCA1 missense variants. We used MAVE functional scores as proxies for pathogenicity/benignity. We computed RSA and FoldX5.0 ΔΔG predictions using as alternative input templates for either PDB files or AlphaFold2 models, and we retrieved pre-computed AlphaMissense and BayesDel scores. We calculated likelihood ratios toward pathogenicity/benignity provided by the tools (individually or combined). We performed a clinical validation of major findings using the large-scale BRIDGES case-control dataset. AlphaMissense outperforms ΔΔG and BayesDel, providing similar PP3/BP4 evidence strengths with lower rate of variants in the uninformative score range. AlphaMissense combined with ΔΔG increases evidence strength granularity. AlphaFold2 models perform well as input templates for ΔΔG predictions. Regardless of the tool, BP4 (but not PP3) is highly dependent on RSA, with benignity evidence provided only to variants targeting buried or partially buried residues (RSA ≤ 60%). Stratification by functional domain did not reveal major differences. In brief, structure-based analysis improves PP3/BP4 assessment, uncovering a relevant role for RSA.

BRCA1错义变异的ACMG/AMP解释:结构通知评分为PP3/BP4计算证据增加了证据强度粒度。
错义变异的分类是具有挑战性的。由于缺乏令人信服的临床和/或功能数据,ACMG/AMP证据线仅限于PM2(在支持水平上应用的稀有性代码)和PP3/BP4(主要基于多序列比对保守工具的计算证据)。目前,ClinGen ENIGMA BRCA1/2变体策展专家小组使用BayesDel将PP3/BP4应用于位于BRCA1 RING/BRCT域中的错义变体。ACMG/AMP框架并未明确将蛋白质结构作为推定的致病/良性证据来源。在这里,我们测试了将基于结构的证据(如相对溶剂可及性(RSA)、折叠稳定性(ΔΔG)和/或AlphaMissense致病性)纳入BRCA1错义变异分类的价值。我们使用MAVE功能评分作为致病性/良性的替代指标。我们使用PDB文件或AlphaFold2模型的替代输入模板计算RSA和FoldX5.0 ΔΔG预测,并检索预先计算的AlphaMissense和BayesDel分数。我们计算了这些工具(单独或联合)提供的致病性/良性的似然比。我们使用大规模BRIDGES病例对照数据集对主要发现进行了临床验证。AlphaMissense优于ΔΔG和BayesDel,提供相似的PP3/BP4证据强度,在无信息评分范围内变异率较低。AlphaMissense结合ΔΔG增加证据强度粒度。AlphaFold2模型作为ΔΔG预测的输入模板表现良好。无论使用何种工具,BP4(但不包括PP3)高度依赖于RSA,仅针对埋藏或部分埋藏残留物(RSA≤60%)的变体提供了良性证据。功能域分层没有显示出主要差异。简而言之,基于结构的分析改进了PP3/BP4评估,揭示了RSA的相关作用。
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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.
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