KGraph: a system for visualizing and evaluating complex genetic associations |
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Authors: | Kelly Reagan J Jacobsen Douglas M Sun Yan V Smith Jennifer A Kardia Sharon L R |
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Institution: | Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48104, USA. reagank@umich.edu |
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Abstract: | 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: http://www.epidkardia.sph.umich.edu/software/kgrapher |
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