Comorbidity network analysis and genetics of colorectal cancer

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Type
Article
Authors
Ljubic, Branimir cc
Pavlovski, Martin cc
Alshehri, Jumanah cc
Roychoudhury, Shoumik
Bajic, Vladimir B. cc
Van Neste, Christophe Marc cc
Obradovic, Zoran
KAUST Department
Applied Mathematics and Computational Science Program
Computational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Date
2020
Submitted Date
2020-08-07
Permanent link to this record
http://hdl.handle.net/10754/667963

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Abstract
Colorectal cancer (CRC) is the third most common cancer in the United States and the second leading cause of cancer death. The goal was to identify comorbidities and genes associated with CRC. Methods A novel social network model was developed on the Healthcare Cost and Utilization Project (HCUP) - State Inpatient Databases (SID) California database to study comorbidities of CRC. Ranked lists of comorbidities and comorbidity networks were created, and the prevalence of comorbidities in different stages of CRC was calculated. Ranked lists of comorbidities were utilized for text mining of PubMed and DisGeNET to extract genes associated with CRC.
Citation
Ljubic, B., Pavlovski, M., Alshehri, J., Roychoudhury, S., Bajic, V., Van Neste, C., & Obradovic, Z. (2020). Comorbidity network analysis and genetics of colorectal cancer. Informatics in Medicine Unlocked, 21, 100492. doi:10.1016/j.imu.2020.100492
Sponsors
The authors gratefully acknowledge the support of the King Abdullah University of Science and Technology's Center Partnership Fund Program. Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality provided data used in this study. The authors also thank Stefan Obradovic for proofreading and editing the language of the manuscript.
Publisher
Elsevier BV
Journal
Informatics in Medicine Unlocked
DOI
10.1016/j.imu.2020.100492
Additional Links
https://linkinghub.elsevier.com/retrieve/pii/S2352914820306432
Collections
Articles; Applied Mathematics and Computational Science Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
This is an open access article under the CC BY-NC-ND license.
Except where otherwise noted, this item's license is described as This is an open access article under the CC BY-NC-ND license.