%0 Journal Article
%T Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View
%A Sarah A Pendergrass
%A Scott Dudek
%A Dana C Crawford
%A Marylyn D Ritchie
%J BioData Mining
%D 2012
%I BioMed Central
%R 10.1186/1756-0381-5-5
%X We have developed the software PheWAS-View for visually integrating PheWAS results, including information about the SNPs, relevant genes, phenotypes, and the interrelationships between phenotypes, that exist in PheWAS. As a result both the fine grain detail as well as the larger trends that exist within PheWAS results can be elucidated.PheWAS can be used to discover novel relationships between SNPs, phenotypes, and networks of interrelated phenotypes; identify pleiotropy; provide novel mechanistic insights; and foster hypothesis generation ¨C and these results can be both explored and presented with PheWAS-View. PheWAS-View is freely available for non-commercial research institutions, for full details see http://ritchielab.psu.edu/ritchielab/software webcite.
%K PheWAS
%K Phenome-Wide Association Study
%K Visualization
%U http://www.biodatamining.org/content/5/1/5/abstract