gwid: an R package and Shiny application for Genome-Wide analysis of IBD data.

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Bioinformatics advances Pub Date : 2024-07-31 eCollection Date: 2024-01-01 DOI:10.1093/bioadv/vbae115
Soroush Mahmoudiandehkordi, Mehdi Maadooliat, Steven J Schrodi
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Abstract

Summary: Genome-wide identity by descent (gwid) is an R package developed for the analysis of identity-by-descent (IBD) data pertaining to dichotomous traits. This package offers a set of tools to assess differential IBD levels for the two states of a binary trait, yielding informative and meaningful results. Furthermore, it provides convenient functions to visualize the outcomes of these analyses, enhancing the interpretability and accessibility of the results. To assess the performance of the package, we conducted an evaluation using real genotype data derived from the SNPs to investigate rheumatoid arthritis susceptibility from the Marshfield Clinic Personalized Medicine Research Project.

Availability and implementation: gwid is available as an open-source R package. Release versions can be accessed on CRAN (https://cran.r-project.org/package=gwid) for all major operating systems. The development version is maintained on GitHub (https://github.com/soroushmdg/gwid) and full documentation with examples and workflow templates is provided via the package website (http://tinyurl.com/gwid-tutorial). An interactive R Shiny dashboard is also developed (https://tinyurl.com/gwid-shiny).

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gwid:用于对 IBD 数据进行全基因组分析的 R 软件包和 Shiny 应用程序。
摘要:Genome-wide identity by descent(gwid)是一个 R 软件包,用于分析与二元性状相关的 IBD 数据。该软件包提供了一套工具,用于评估二元性状两种状态的不同 IBD 水平,从而得出信息丰富且有意义的结果。此外,它还提供了可视化这些分析结果的便捷功能,提高了结果的可解释性和可访问性。为了评估该软件包的性能,我们使用真实的基因型数据进行了评估,这些数据来自马什菲尔德诊所个性化医学研究项目(Marshfield Clinic Personalized Medicine Research Project),用于研究类风湿性关节炎易感性的 SNPs。发布版本可在 CRAN (https://cran.r-project.org/package=gwid) 上访问,适用于所有主流操作系统。开发版本在 GitHub (https://github.com/soroushmdg/gwid) 上维护,并通过软件包网站 (http://tinyurl.com/gwid-tutorial) 提供包含示例和工作流模板的完整文档。此外,还开发了一个交互式 R Shiny 面板 (https://tinyurl.com/gwid-shiny)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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