Work

KGraph: a system for visualizing and evaluating complex genetic associations

Year: 2006

Type: article

Abstract: UNLABELLED: 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

Source: Bioinformatics

DOI: 10.1093/bioinformatics/btl510

Authors: Reagan J. Kelly, Douglas M. Jacobsen, Yan V. Sun, Jennifer A. Smith, Sharon L. R. Kardia

Institutions: University of Michigan, Michigan Medicine

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funder: National Heart, Lung, and Blood Institute

Award: G904881343