Li Quan, Wang Kai
Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90089, USA.
Zilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90089, USA; Institute for Genomic Medicine, Columbia University, New York, NY 10032, USA; Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA.
Am J Hum Genet. 2017 Feb 2;100(2):267-280. doi: 10.1016/j.ajhg.2017.01.004. Epub 2017 Jan 26.
In 2015, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) published updated standards and guidelines for the clinical interpretation of sequence variants with respect to human diseases on the basis of 28 criteria. However, variability between individual interpreters can be extensive because of reasons such as the different understandings of these guidelines and the lack of standard algorithms for implementing them, yet computational tools for semi-automated variant interpretation are not available. To address these problems, we propose a suite of methods for implementing these criteria and have developed a tool called InterVar to help human reviewers interpret the clinical significance of variants. InterVar can take a pre-annotated or VCF file as input and generate automated interpretation on 18 criteria. Furthermore, we have developed a companion web server, wInterVar, to enable user-friendly variant interpretation with an automated interpretation step and a manual adjustment step. These tools are especially useful for addressing severe congenital or very early-onset developmental disorders with high penetrance. Using results from a few published sequencing studies, we demonstrate the utility of InterVar in significantly reducing the time to interpret the clinical significance of sequence variants.
2015年,美国医学遗传学与基因组学学会(ACMG)和分子病理学协会(AMP)基于28条标准发布了关于人类疾病序列变异临床解读的更新标准和指南。然而,由于对这些指南的理解不同以及缺乏实施它们的标准算法等原因,个体解读之间的差异可能很大,而且尚无用于半自动变异解读的计算工具。为了解决这些问题,我们提出了一套实施这些标准的方法,并开发了一个名为InterVar的工具来帮助人类审阅者解读变异的临床意义。InterVar可以将预先注释的文件或VCF文件作为输入,并根据18条标准生成自动解读。此外,我们还开发了一个配套的网络服务器wInterVar,通过自动解读步骤和手动调整步骤实现用户友好的变异解读。这些工具对于解决具有高外显率的严重先天性或极早发性发育障碍特别有用。利用一些已发表的测序研究结果,我们证明了InterVar在显著减少解读序列变异临床意义所需时间方面的效用。