eResponseNet: a package prioritizing candidate disease genes through cellular pathways

Huang, Jialiang; Liu, Yi; Zhang, Wei; Yu, Hong; Han, Jing-Dong J.
August 2011
Bioinformatics;Aug2011, Vol. 27 Issue 16, p2319
Academic Journal
Motivation: Although genome-wide association studies (GWAS) have found many common genetic variants associated with human diseases, it remains a challenge to elucidate the functional links between associated variants and complex traits.Results: We developed a package called eResponseNet by implementing and extending the existing ResponseNet algorithm for prioritizing candidate disease genes through cellular pathways. Using type II diabetes (T2D) as a study case, we demonstrate that eResponseNet outperforms currently available approaches in prioritizing candidate disease genes. More importantly, the package is instrumental in revealing cellular pathways underlying disease-associated genetic variations.Availability: The eResponseNet package is freely downloadable at http://hanlab.genetics.ac.cn/eResponseNet.Contact: jdhan@picb.ac.cnSupplementary Information: Supplementary data are available at Bioinformatics online.


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