Suppr超能文献

在临床基因检测中系统地使用表型证据可降低不确定意义变异的频率。

Systematic use of phenotype evidence in clinical genetic testing reduces the frequency of variants of uncertain significance.

机构信息

Invitae Corporation, San Francisco, California, USA.

Indiana University Health, Indianapolis, Indiana, USA.

出版信息

Am J Med Genet A. 2022 Sep;188(9):2642-2651. doi: 10.1002/ajmg.a.62779. Epub 2022 May 16.

Abstract

Guidelines for variant interpretation include criteria for incorporating phenotype evidence, but this evidence is inconsistently applied. Systematic approaches to using phenotype evidence are needed. We developed a method for curating disease phenotypes as highly or moderately predictive of variant pathogenicity based on the frequency of their association with disease-causing variants. To evaluate this method's accuracy, we retrospectively reviewed variants with clinical classifications that had evolved from uncertain to definitive in genes associated with curated predictive phenotypes. To demonstrate the clinical validity and utility of this approach, we compared variant classifications determined with and without predictive phenotype evidence. The curation method was accurate for 93%-98% of eligible variants. Among variants interpreted using highly predictive phenotype evidence, the percentage classified as pathogenic or likely pathogenic was 80%, compared with 46%-54% had the evidence not been used. Positive results among individuals harboring variants with highly predictive phenotype-guided interpretations would have been missed in 25%-37% of diagnostic tests and 39%-50% of carrier screens had other approaches to phenotype evidence been used. In summary, predictive phenotype evidence associated with specific curated genes can be systematically incorporated into variant interpretation to reduce uncertainty and increase the clinical utility of genetic testing.

摘要

变异解释指南包括纳入表型证据的标准,但这些证据的应用并不一致。需要系统的方法来利用表型证据。我们开发了一种方法,根据与致病变异相关的疾病表型的关联频率,对高度或中度预测变异致病性的疾病表型进行编目。为了评估该方法的准确性,我们回顾性地审查了与编目预测表型相关的基因中,其临床分类从不确定转变为明确的变异。为了证明该方法的临床有效性和实用性,我们比较了有和没有预测表型证据的变异分类。编目方法对 93%-98%的合格变异是准确的。在使用高度预测表型证据进行解释的变异中,被归类为致病性或可能致病性的比例为 80%,而如果不使用该证据,则为 46%-54%。如果使用了其他表型证据的方法,在携带高度预测表型指导解释的变异的个体中,阳性结果将在 25%-37%的诊断测试和 39%-50%的携带者筛查中被遗漏。总之,与特定编目基因相关的预测表型证据可以系统地纳入变异解释,以减少不确定性并提高遗传检测的临床实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/534f/9544038/0e5802b54745/AJMG-188-2642-g002.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验