Brief Bioinform. 2021 May 20;22(3). doi: 10.1093/bib/bbaa077.
With the advances of next-generation sequencing technology, the field of disease research has been revolutionized. However, pinpointing the disease-causing variants from millions of revealed variants is still a tough task. Here, we have reviewed the existing linkage analysis tools and presented PedMiner, a web-based application designed to narrow down candidate variants from family based whole-exome sequencing (WES) data through linkage analysis. PedMiner integrates linkage analysis, variant annotation and prioritization in one automated pipeline. It provides graphical visualization of the linked regions along with comprehensive annotation of variants and genes within these linked regions. This efficient and comprehensive application will be helpful for the scientific community working on Mendelian inherited disorders using family based WES data.
随着下一代测序技术的进步,疾病研究领域发生了革命性变化。然而,从数百万个已揭示的变体中精确定位致病变体仍然是一项艰巨的任务。在这里,我们回顾了现有的连锁分析工具,并介绍了 PedMiner,这是一个基于网络的应用程序,旨在通过连锁分析从基于家族的全外显子组测序 (WES) 数据中缩小候选变体。PedMiner 将连锁分析、变体注释和优先级排序集成到一个自动化管道中。它提供了连锁区域的图形可视化以及这些连锁区域内变体和基因的综合注释。这个高效全面的应用程序将有助于使用基于家族的 WES 数据从事孟德尔遗传疾病研究的科学界。