Eggington J M, Bowles K R, Moyes K, Manley S, Esterling L, Sizemore S, Rosenthal E, Theisen A, Saam J, Arnell C, Pruss D, Bennett J, Burbidge L A, Roa B, Wenstrup R J
Myriad Genetic Laboratories, Inc., Salt Lake City, UT, USA.
Clin Genet. 2014 Sep;86(3):229-37. doi: 10.1111/cge.12315. Epub 2013 Dec 20.
Genetic testing has the potential to guide the prevention and treatment of disease in a variety of settings, and recent technical advances have greatly increased our ability to acquire large amounts of genetic data. The interpretation of this data remains challenging, as the clinical significance of genetic variation detected in the laboratory is not always clear. Although regulatory agencies and professional societies provide some guidance regarding the classification, reporting, and long-term follow-up of variants, few protocols for the implementation of these guidelines have been described. Because the primary aim of clinical testing is to provide results to inform medical management, a variant classification program that offers timely, accurate, confident and cost-effective interpretation of variants should be an integral component of the laboratory process. Here we describe the components of our laboratory's current variant classification program (VCP), based on 20 years of experience and over one million samples tested, using the BRCA1/2 genes as a model. Our VCP has lowered the percentage of tests in which one or more BRCA1/2 variants of uncertain significance (VUSs) are detected to 2.1% in the absence of a pathogenic mutation, demonstrating how the coordinated application of resources toward classification and reclassification significantly impacts the clinical utility of testing.
基因检测有潜力在多种情况下指导疾病的预防和治疗,并且近期的技术进步极大地提高了我们获取大量基因数据的能力。对这些数据的解读仍然具有挑战性,因为在实验室检测到的基因变异的临床意义并不总是明确的。尽管监管机构和专业协会就变异的分类、报告及长期随访提供了一些指导,但很少有关于实施这些指南的方案被描述。由于临床检测的主要目的是提供结果以指导医疗管理,一个能对变异进行及时、准确、可靠且具有成本效益的解读的变异分类程序应成为实验室流程的一个组成部分。在此,我们以BRCA1/2基因作为模型,基于20年的经验和超过100万个样本检测,描述我们实验室当前变异分类程序(VCP)的组成部分。我们的VCP已将在未检测到致病突变的情况下检测出一个或多个意义不明确的BRCA1/2变异(VUS)的检测比例降至2.1%,这表明将资源协调应用于分类和重新分类如何显著影响检测的临床效用。