Comorbidity network analysis and genetics of colorectal cancer

Branimir Ljubic, Martin Pavlovski, Jumanah Alshehri, Shoumik Roychoudhury, Vladimir B. Bajic, Christophe Marc Van Neste, Zoran Obradovic

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)100492
JournalInformatics in Medicine Unlocked
StatePublished - 2020

Bibliographical note

KAUST Repository Item: Exported on 2021-03-09
Acknowledgements: 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.


Dive into the research topics of 'Comorbidity network analysis and genetics of colorectal cancer'. Together they form a unique fingerprint.

Cite this