KGraph: a system for visualizing and evaluating complex genetic associations
Open Access
- 10 October 2006
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 23 (2) , 249-251
- https://doi.org/10.1093/bioinformatics/btl510
Abstract
Summary: 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 factors, such as single nucleotide polymorphisms (SNPs). It allows for easy viewing and interpretation of genetic associations, correlations among covariates and SNPs, and information about the replication and cross-validation of the 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 and gene–gene interaction, both important components of any genetic system that are often overlooked in association frameworks. Availability: Contact:reagank@umich.edu Supplementary information: A description of system requirements and a full user manual are available atKeywords
This publication has 4 references indexed in Scilit:
- Reliability of statistical associations between genes and diseaseImmunogenetics, 2005
- Genetic association studies of complex traits: design and analysis issuesMutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, 2005
- Prediction error estimation: a comparison of resampling methodsBioinformatics, 2005
- Context-dependent genetic effects in hypertensionCurrent Hypertension Reports, 2000