- About this Journal
- Abstracting and Indexing
- Aims and Scope
- Annual Issues
- Article Processing Charges
- Articles in Press
- Author Guidelines
- Bibliographic Information
- Citations to this Journal
- Contact Information
- Editorial Board
- Editorial Workflow
- Free eTOC Alerts
- Publication Ethics
- Reviewers Acknowledgment
- Submit a Manuscript
- Subscription Information
- Table of Contents
BioMed Research International
Volume 2013 (2013), Article ID 637424, 8 pages
Expression Sensitivity Analysis of Human Disease Related Genes
1Shanghai Center for Bioinformation Technology, Shanghai 201203, China
2Key Laboratory of Synthetic Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
3Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China
4Pathogen Diagnostic Center, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China
Received 23 August 2013; Accepted 11 October 2013
Academic Editor: Zhongming Zhao
Copyright © 2013 Liang-Xiao Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- T. A. Manolio, “Genomewide association studies and assessment of the risk of disease,” The New England Journal of Medicine, vol. 363, no. 2, pp. 166–176, 2010.
- U. Broeckel and N. J. Schork, “Identifying genes and genetic variation underlying human diseases and complex phenotypes via recombination mapping,” Journal of Physiology, vol. 554, no. 1, pp. 40–45, 2004.
- J. N. Hirschhorn and M. J. Daly, “Genome-wide association studies for common diseases and complex traits,” Nature Reviews Genetics, vol. 6, no. 2, pp. 95–108, 2005.
- N. Risch and K. Merikangas, “The future of genetic studies of complex human diseases,” Science, vol. 273, no. 5281, pp. 1516–1517, 1996.
- J. Hardy and A. Singleton, “Genomewide association studies and human disease,” The New England Journal of Medicine, vol. 360, no. 17, pp. 1759–1768, 2009.
- G. Jimenez-Sanchez, B. Childs, and D. Valle, “Human disease genes,” Nature, vol. 409, no. 6822, pp. 853–855, 2001.
- L. A. Hindorff, P. Sethupathy, H. A. Junkins et al., “Potential etiologic and functional implications of genome-wide association loci for human diseases and traits,” Proceedings of the National Academy of Sciences of the United States of America, vol. 106, no. 23, pp. 9362–9367, 2009.
- K. G. Becker, K. C. Barnes, T. J. Bright, and S. A. Wang, “The genetic association database,” Nature Genetics, vol. 36, no. 5, pp. 431–432, 2004.
- P. Hao, S. Zheng, J. Ping et al., “Human gene expression sensitivity according to large scale meta-analysis,” BMC Bioinformatics, vol. 10, no. 1, article S56, 2009.
- J. H. Ohn, J. Kim, and J. H. Kim, “Genomic characterization of perturbation sensitivity,” Bioinformatics, vol. 23, no. 13, pp. i354–i358, 2007.
- Z. Tu, L. Wang, M. Xu, X. Zhou, T. Chen, and F. Sun, “Further understanding human disease genes by comparing with housekeeping genes and other genes,” BMC Genomics, vol. 7, no. 1, article 31, 2006.
- E. Eisenberg and E. Y. Levanon, “Human housekeeping genes are compact,” Trends in Genetics, vol. 19, no. 7, pp. 362–365, 2003.
- T. Barrett, D. B. Troup, S. E. Wilhite et al., “NCBI GEO: Mining tens of millions of expression profiles—database and tools update,” Nucleic Acids Research, vol. 35, no. 1, pp. D760–D765, 2007.
- M. Ashburner, C. A. Ball, J. A. Blake et al., “Gene ontology: tool for the unification of biology,” Nature Genetics, vol. 25, no. 1, pp. 25–29, 2000.
- E. Eden, R. Navon, I. Steinfeld, D. Lipson, and Z. Yakhini, “GOrilla: A tool for discovery and visualization of enriched GO terms in ranked gene lists,” BMC Bioinformatics, vol. 10, no. 1, article 48, 2009.
- G. L. Wang, B.-H. Jiang, E. A. Rue, and G. L. Semenza, “Hypoxia-inducible factor 1 is a basic-helix-loop-helix-PAS heterodimer regulated by cellular O2 tension,” Proceedings of the National Academy of Sciences of the United States of America, vol. 92, no. 12, pp. 5510–5514, 1995.
- K. Fransén, M. Fenech, M. Fredrikson, C. Dabrosin, and P. Söderkvist, “Association between ulcerative growth and hypoxia inducible factor-1α polymorphisms in colorectal cancer patients,” Molecular Carcinogenesis, vol. 45, no. 11, pp. 833–840, 2006.
- Y. Hong, S. H. Kok, W. E. Kong, and Y. C. Peh, “A susceptibility gene set for early onset colorectal cancer that integrates diverse signaling pathways: implication for tumorigenesis,” Clinical Cancer Research, vol. 13, no. 4, pp. 1107–1114, 2007.
- N. Papadopoulos, N. C. Nicolaides, Y.-F. Wei et al., “Mutation of a mutL homolog in hereditary colon cancer,” Science, vol. 263, no. 5153, pp. 1625–1629, 1994.
- T. Liu, P. Tannergård, P. Hackman et al., “Missense mutations in hMLH1 associated with colorectal cancer,” Human Genetics, vol. 105, no. 5, pp. 437–441, 1999.
- T. L. Chan, S. T. Yuen, J. W. C. Ho et al., “A novel germline 1.8-kb deletion of hMLH1 mimicking alternative splicing: a founder mutation in the Chinese population,” Oncogene, vol. 20, no. 23, pp. 2976–2981, 2001.
- N. Nejda, D. Iglesias, M. Moreno Azcoita, V. Medina Arana, J. J. González-Aguilera, and A. M. Fernández-Peralta, “A MLH1 polymorphism that increases cancer risk is associated with better outcome in sporadic colorectal cancer,” Cancer Genetics and Cytogenetics, vol. 193, no. 2, pp. 71–77, 2009.
- K. Söreide, E. Janssen, H. Söiland, H. Körner, and J. Baak, “Microsatellite instability in colorectal cancer,” British Journal of Surgery, vol. 93, no. 4, pp. 395–406, 2006.
- G. Bindea, B. Mlecnik, H. Hackl et al., “ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks,” Bioinformatics, vol. 25, no. 8, pp. 1091–1093, 2009.
- H. Jeong, S. P. Mason, A.-L. Barabási, and Z. N. Oltvai, “Lethality and centrality in protein networks,” Nature, vol. 411, no. 6833, pp. 41–42, 2001.
- J. D. J. Han, N. Bertin, T. Hao et al., “Evidence for dynamically organized modularity in the yeast protein-protein interaction network,” Nature, vol. 430, no. 6995, pp. 88–93, 2004.
- P. F. Jonsson and P. A. Bates, “Global topological features of cancer proteins in the human interactome,” Bioinformatics, vol. 22, no. 18, pp. 2291–2297, 2006.
- J. Xu and Y. Li, “Discovering disease-genes by topological features in human protein-protein interaction network,” Bioinformatics, vol. 22, no. 22, pp. 2800–2805, 2006.
- K.-I. Goh, M. E. Cusick, D. Valle, B. Childs, M. Vidal, and A.-L. Barabási, “The human disease network,” Proceedings of the National Academy of Sciences of the United States of America, vol. 104, no. 21, pp. 8685–8690, 2007.
- J. Wang, S. Zhang, Y. Wang, L. Chen, and X.-S. Zhang, “Disease-aging network reveals significant roles of aging genes in connecting genetic diseases,” PLoS Computational Biology, vol. 5, no. 9, Article ID e1000521, 2009.