Skip Navigation



Bioinformatics Advance Access published online on October 10, 2006
Bioinformatics, doi:10.1093/bioinformatics/btl510
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
23/2/249    most recent
btl510v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Kelly, R. J.
Right arrow Articles by Kardia, S. L. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kelly, R. J.
Right arrow Articles by Kardia, S. L. R.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2006). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received August 15, 2006
Accepted September 30, 2006

Applications note

KGraph: a system for visualizing and evaluating complex genetic associations

Reagan J. Kelly 1 *, Douglas M. Jacobsen 2, Yan V. Sun 2, Jennifer A. Smith 2, and Sharon L. R. Kardia 1

1 Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48104; Bioinfromatics Program, University of Michigan School of Medicine, Ann Arbor, MI 48109
2 Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48104

* To whom correspondence should be addressed.
Reagan J. Kelly, E-mail: reagank{at}umich.edu


  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: http://www.epidkardia.sph.umich.edu/software/kgrapher.

Supplementary Information: A description of system requirements and a full user manual are available at http://www.epidkardia.sph.umich.edu/software/kgrapher.

Associate Editor: Keith A Crandall
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.