Division of Bioinformatics, ICF International at National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas, USA.
Adv Genet. 2010;72:181-93. doi: 10.1016/B978-0-12-380862-2.00008-4.
The KGraph is a data visualization system that has been developed to display the complex relationships between the univariate and bivariate associations among an outcome of interest, a set of covariates, and a set of genetic variations such as single-nucleotide polymorphisms (SNPs). It allows for easy simultaneous viewing and interpretation of genetic associations, correlations among covariates and SNPs, and information about the replication and cross-validation of these associations. The KGraph allows the user to more easily investigate multicollinearity and confounding through visualization of the multidimensional correlation structure underlying genetic associations. It emphasizes gene-environment interactions, gene-gene interactions, and correlations, all important components of the complex genetic architecture of most human traits. The KGraph was designed for use in gene-centric studies, but can be integrated into association analysis workflows as well. The software is available at http://www.epidkardia.sph.umich.edu/software/kgrapher.
KGraph 是一个数据可视化系统，旨在显示感兴趣的结果、一组协变量以及一组遗传变异（如单核苷酸多态性 (SNP)）之间的单变量和双变量关联之间的复杂关系。它允许轻松同时查看和解释遗传关联、协变量和 SNPs 之间的相关性，以及有关这些关联的复制和交叉验证的信息。KGraph 通过可视化遗传关联的多维相关结构，允许用户更轻松地调查多重共线性和混杂。它强调基因-环境相互作用、基因-基因相互作用和相关性，这些都是大多数人类特征复杂遗传结构的重要组成部分。KGraph 专为基于基因的研究而设计，但也可以集成到关联分析工作流程中。该软件可在 http://www.epidkardia.sph.umich.edu/software/kgrapher 获得。
