变体注释和下一代测序变体的探索

M. Astrinaki, A. Kanterakis, H. Latsoudis, G. Potamias, D. Kafetzopoulos
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摘要

在过去的十年中,新一代测序(NGS)已成为临床遗传学和精准医学的有力工具。全基因组测序(WGS)、全外显子组测序(WES)和靶标测序等技术通常用于阐明孟德尔和复杂疾病的常见和罕见变异。NGS管道中最重要的部分之一是根据其临床意义对注释变体进行优先排序。在此过程中,临床遗传学家将获得来自外部数据库的数千个潜在变体的注释信息。大量的数据和现有变异报告指南的模糊性质,如ACMG(美国医学遗传学学院),使得这一过程非常繁琐和耗时。在这里,我们介绍了该任务的主要计算挑战和现有解决方案。我们还介绍了Zazz,一个用于变体注释、查询和探索的在线环境。Zazz可以有效地支持将复杂和动态生成的查询提交到数亿个变体,每个变体都有数百个注释字段。Zazz还利用现代浏览器的功能来动态过滤、探索和可视化多维数据。
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Zazz: Variant Annotation and Exploration of Next Generation Sequencing Variants
Over the last 10 years, Next-Generation Sequencing (NGS) has become a powerful tool in clinical genetics and precision medicine. Techniques like Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES) and Target Sequencing are commonly used for the elucidation of common and rare variants in mendelian and complex diseases. One of the most vital parts of NGS pipelines is the prioritization of annotated variants according to their clinical significance. During this process, a clinical geneticist is presented with annotation information from external databases for each of the thousands of potential variants. The vast amounts of data and the vague nature of existing guidelines for variant reporting, like ACMG (American College of Medical Genetics) can make this procedure very cumbersome and time consuming. Here we present the main computational challenges and existing solutions for this task. We also present Zazz, an online environment for variant annotation, query and exploration. Zazz can efficiently support the submission of complex and dynamically generated queries to hundreds of millions of variants each having hundreds of annotation fields. Zazz also leverages the capabilities of modern browsers to dynamically filter, explore and visualize multidimensional data.
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