Journal article
dbCPG: A web resource for cancer predisposition genes
Oncotarget, Vol.7(25), pp.37803-37811
2016
Abstract
Cancer predisposition genes (CPGs) are genes in which inherited mutations confer highly or moderately increased risks of developing cancer. Identification of these genes and understanding the biological mechanisms that underlie them is crucial for the prevention, early diagnosis, and optimized management of cancer. Over the past decades, great efforts have been made to identify CPGs through multiple strategies. However, information on these CPGs and their molecular functions is scattered. To address this issue and provide a comprehensive resource for researchers, we developed the Cancer Predisposition Gene Database (dbCPG, Database URL: http://bioinfo.ahu.edu. cn:8080/dbCPG/index.jsp), the first literature-based gene resource for exploring human CPGs. It contains 827 human (724 protein-coding, 23 non-coding, and 80 unknown type genes), 637 rats, and 658 mouse CPGs. Furthermore, data mining was performed to gain insights into the understanding of the CPGs data, including functional annotation, gene prioritization, network analysis of prioritized genes and overlap analysis across multiple cancer types. A user-friendly web interface with multiple browse, search, and upload functions was also developed to facilitate access to the latest information on CPGs. Taken together, the dbCPG database provides a comprehensive data resource for further studies of cancer predisposition genes.
Details
- Title
- dbCPG: A web resource for cancer predisposition genes
- Authors
- Ran Wei (Author) - Anhui University, ChinaYao Yao (Author) - Anhui University, ChinaWu Yang (Author) - Anhui University, ChinaChun-Hou Zheng (Author) - Anhui University, ChinaMin Zhao (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringJunfeng Xia (Author) - Anhui University, China
- Publication details
- Oncotarget, Vol.7(25), pp.37803-37811
- Publisher
- Impact Journals LLC
- Date published
- 2016
- DOI
- 10.18632/oncotarget.9334
- ISSN
- 1949-2553
- Copyright note
- Copyright © 2016 The Authors. This work is licensed under a Creative Commons Attribution 3.0 License
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99450695802621
- Output Type
- Journal article
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