Institute of Human Genetics, Medical Facility, Leipzig University, Leipzig, Germany.
Centre of Medical Genetics, Department of Medical Genetics, University of Münster, Münster, Germany.
BMC Bioinformatics. 2024 Sep 12;25(1):299. doi: 10.1186/s12859-024-05922-3.
The detection of uniparental disomies (the inheritance of both chromosome homologues from a single parent, UPDs) is not part of most standard or commercial NGS-pipelines in human genetics and thus a common gap in NGS diagnostics. To address this we developed a tool for UPD-detection based on panel or exome data which is easy to use and publicly available.
The app is freely available at https://altafplotter.uni-leipzig.de/ and implemented in Python, using the Streamlit framework for data science web apps. It utilizes bcftools and tabix for processing vcf files. The source code is available at https://github.com/HUGLeipzig/altafplotter and can be used to host your own instance of the tool.
We believe the app to be a great benefit for research and diagnostic labs, which struggle identifying and interpreting UPDs in their NGS diagnostic setup. The information provided allows a quick interpretation of the results and thus is suitable for usage in a high throughput manner by clinicians and biologists.
单亲二体(从单一亲本遗传两个染色体同源物,UPD)的检测不是大多数人类遗传学标准或商业 NGS 管道的一部分,因此这是 NGS 诊断中的一个常见空白。为了解决这个问题,我们开发了一种基于面板或外显子数据的 UPD 检测工具,该工具易于使用且可公开获取。
该应用程序可在 https://altafplotter.uni-leipzig.de/ 免费获得,它是用 Python 编写的,使用 Streamlit 框架构建数据科学 Web 应用程序。它利用 bcftools 和 tabix 处理 vcf 文件。源代码可在 https://github.com/HUGLeipzig/altafplotter 上获得,并可用于托管自己的工具实例。
我们相信该应用程序对研究和诊断实验室非常有益,因为它们在 NGS 诊断设置中难以识别和解释 UPD。提供的信息允许快速解释结果,因此适合临床医生和生物学家以高通量的方式使用。