Sreenivas Chavali*, Fredrik Barrenas, Kartiek Kanduri and Mikael Benson
Corresponding author: Sreenivas Chavali firstname.lastname@example.org
BMC Systems Biology 2010, 4:78 doi:10.1186/1752-0509-4-78
(2010-10-12 12:20) The Unit for Clinical Systems Biology, University of Gothenburg
Correction: Network properties of human disease genes with pleiotropic effects Sreenivas Chavali*†, Fredrik Barrenas†, Kartiek Kanduri, Mikael Benson
The Unit for Clinical Systems Biology, University of Gothenburg, Medicinaregatan 5A,
Gothenburg SE405 30, Sweden †Contributed equally Correspondence: email@example.com Correction After publication, it was observed that a correction is warranted in our article .
We regret and apologize for this error. To determine phenotypic divergence we used phenotypic similarity scores as obtained
from van Driel et al. 2006  and not CIPHER score . The phenotype similarity
scores have been calculated by text mining of OMIM phenotypes using Medical Subject
Headings (MeSH) terms. Hence, throughout the article CIPHER score must be read as
phenotypic similarity score. Acknowledgements We thank and appreciate Xuebing Wu, one of the authors on reference 3, for kindly
bringing this error to our notice. References 1. Chavali S, Barrenas F, Kanduri K, Benson M: Network properties of human disease
genes with pleiotropic effects. BMC Syst Biol 2010, 4:78. 2. van Driel MA, Bruggeman J, Vriend G, Brunner HG, Leunissen JA: A text-mining analysis
of the human phenome. Eur J Hum Genet 2006, 14:535-542. 3. Wu X, Jiang R, Zhang MQ, Li S: Network-based global inference of human disease
genes. Mol Syst Biol 2008, 4:189.
We report no conflicts of interest
BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.