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使用 WISH-R 包构建全基因组上位性 SNP 网络的方案。

Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package.

机构信息

Quantitative Genomics, Bioinformatics and Computational Biology Group, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.

出版信息

Methods Mol Biol. 2021;2212:155-168. doi: 10.1007/978-1-0716-0947-7_10.

Abstract

Epistasis is the interaction between genes or genetic variants (such as Single Nucleotide Polymorphisms or SNPs) that influences a phenotype or a disease outcome. Statistically and biologically, significant evidence of epistatic loci for several traits and diseases is well known in human, animals, and plants. However, there is no straightforward way to compute a large number of pairwise epistasis among millions of variants along the whole genome, relate them to phenotypes or diseases, and visualize them. The WISH-R package (WISH-R) was developed to address this technology gap to calculate epistatic interactions using a linear or generalized linear model on a genome-wide level using genomic data and phenotype/disease data in a fully parallelized environment, and visualize genome-wide epistasis in many ways. This method protocol chapter provides an easy-to-follow systematic guide to install this R software in computers on Win OS, Mac OS, and Linux platforms and can be downloaded from https://github.com/QSG-Group/WISH with a user guide. The WISH-R package has several inbuilt functions to reduce genotype data dimensionality and hence computational demand. WISH-R software can be used to build scale-free weighted SNP interaction networks and relate them to quantitative traits or phenotypes and case-control diseases outcomes. The software leads to integrating biological knowledge to identify disease- or trait-relevant SNP or gene modules, hub genes, potential biomarkers, and pathways related to complex traits and diseases.

摘要

上位性是指基因或遗传变异(如单核苷酸多态性或 SNPs)之间的相互作用,影响表型或疾病结果。在人类、动物和植物中,已经有大量证据表明,许多性状和疾病都存在上位性位点。然而,目前还没有一种简单的方法可以计算整个基因组中数百万个变异体之间的大量成对上位性,将它们与表型或疾病联系起来,并对其进行可视化。WISH-R 包(WISH-R)就是为了解决这个技术差距而开发的,它可以在全基因组水平上使用线性或广义线性模型,在全并行环境中使用基因组数据和表型/疾病数据来计算上位性相互作用,并以多种方式可视化全基因组的上位性。本方法协议章节提供了一个简单易行的系统指南,介绍如何在 Windows、Mac 和 Linux 平台上的计算机上安装这个 R 软件,并可从 https://github.com/QSG-Group/WISH 下载,其中附有用户指南。WISH-R 包具有几个内置功能,可以降低基因型数据的维度,从而降低计算需求。WISH-R 软件可用于构建无标度加权 SNP 相互作用网络,并将其与定量性状或表型以及病例对照疾病结果相关联。该软件可以整合生物学知识,以识别与复杂性状和疾病相关的疾病或性状相关的 SNP 或基因模块、枢纽基因、潜在的生物标志物和途径。

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