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Open Access Correction

Correction: Disease candidate gene identification and prioritization using protein interaction networks

Jing Chen12, Bruce J Aronow123 and Anil G Jegga13*

Author Affiliations

1 Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, USA

2 Department of Biomedical Engineering, University of Cincinnati, Cincinnati, USA

3 Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, USA

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BMC Bioinformatics 2009, 10:406  doi:10.1186/1471-2105-10-406

The electronic version of this article is the complete one and can be found online at:

Received:26 November 2009
Accepted:9 December 2009
Published:9 December 2009

© 2009 Chen et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


After the publication of this work [1], we became aware of the fact that we inadvertently failed to include the work of Chen et al. [2] when listing previous studies that use PPIs to prioritize disease candidate genes. In a pioneering study [2], Chen et al. used a initial gene list for Alzheimer's from the OMIM database, expanded it based on protein interactions, and proposed a scoring function to identify other Alzheimer's disease causal genes based on graph-connectedness.


  1. Chen J, Aronow BJ, Jegga AG: Disease candidate gene identification and prioritization using protein interaction networks.

    BMC Bioinformatics 2009, 10:73. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  2. Chen JY, Shen C, Sivachenko AY: Mining Alzheimer disease relevant proteins from integrated protein interactome data.

    Pac Symp Biocomput 2006, 367-378. PubMed Abstract | Publisher Full Text OpenURL