Folta Andrew, Sedeño Cortés Adriana E, Gupta Pankhuri, McEwen Abbye E, Kao Eric Y, Horike-Pyne Martha, Stone Jeremy, Shirts Brian H, Dubard-Gault Marianne E, Fowler Douglas M, Starita Lea M, Hisama Fuki M, Stergachis Andrew B
Division of Medical Genetics, University of Washington, Seattle, WA.
Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA.
Genet Med. 2025 Jun 18;27(9):101501. doi: 10.1016/j.gim.2025.101501.
Variants of uncertain significance (VUS) are frequently encountered during clinical genetic testing. To explore the clinical burden of VUS, we developed the Brotman Baty Institute Clinical Variant Database, which is an electronic health record (EHR)-linked database of clinical germline genetic variant information from patients with rare genetic disorders seen at 2 tertiary academic medical centers.
We retrospectively reviewed EHRs and genetic testing reports from 5158 patients seen across diverse adult genetics practices at these institutions from 2015 to 2024. We also compared these EHR-based variant classifications with those in ClinVar.
The number of reported VUS relative to pathogenic or likely pathogenic variants can vary by over 14-fold depending on the primary indication for genetic testing and 3-fold depending on self-reported race. Furthermore, at least 1.6% of variant classifications used in the EHR for clinical care are outdated based on ClinVar variant classifications, including 26 instances in which the testing lab updated ClinVar, but the reclassification was never communicated to the patient.
Our findings reveal that the clinical burden of VUS in adult medical genetics is unequally distributed across patients. We also highlight a deficiency in existing systems for communicating variant reclassifications to ClinVar, patients, and providers.
临床基因检测中经常会遇到意义未明的变异(VUS)。为了探究VUS的临床负担,我们开发了布罗特曼·巴蒂研究所临床变异数据库,这是一个与电子健康记录(EHR)相关联的数据库,收录了在两家三级学术医疗中心就诊的罕见遗传病患者的临床种系基因变异信息。
我们回顾性审查了2015年至2024年期间在这些机构不同成人遗传学实践中就诊的5158例患者的EHR和基因检测报告。我们还将这些基于EHR的变异分类与ClinVar中的分类进行了比较。
根据基因检测的主要指征,报告的VUS数量与致病或可能致病变异数量的差异可能超过14倍;根据自我报告的种族,差异可能为3倍。此外,基于ClinVar变异分类,EHR中用于临床护理的变异分类中至少有1.6%是过时的,其中包括26例检测实验室更新了ClinVar但重新分类信息从未传达给患者的情况。
我们的研究结果表明,成人医学遗传学中VUS的临床负担在患者中分布不均。我们还强调了现有系统在将变异重新分类信息传达给ClinVar、患者和医疗服务提供者方面存在不足。