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Disease Comorbidity Network Guides the Detection of Molecular Evidence for the Link Between Colorectal Cancer and Obesity.

Chen Y, Li L, Xu R - AMIA Jt Summits Transl Sci Proc (2015)

Bottom Line: We constructed a comorbidity network based on mining health data for millions of patients.Our approach was able to prioritize metabolic syndrome and diabetes, which are known to be associated with obesity and CRC through insulin resistance pathways.Interestingly, we found that osteoporosis was highly associated with the connection between obesity and CRC.

View Article: PubMed Central - PubMed

Affiliation: Division of Medical Informatics, Department of EECS Case Western Reserve University Cleveland, Ohio, USA, yxc233@case.edu.

ABSTRACT
Epidemiological studies suggested that obesity increases the risk of colorectal cancer (CRC). The genetic connection between CRC and obesity is multifactorial and inconclusive. In this study, we hypothesize that the study of shared comorbid diseases between CRC and obesity can offer unique insights into common genetic basis of these two diseases. We constructed a comorbidity network based on mining health data for millions of patients. We developed a novel approach and extracted the diseases that play critical roles in connecting obesity and CRC in the comorbidity network. Our approach was able to prioritize metabolic syndrome and diabetes, which are known to be associated with obesity and CRC through insulin resistance pathways. Interestingly, we found that osteoporosis was highly associated with the connection between obesity and CRC. Through gene expression meta-analysis, we identified novel genes shared among CRC, obesity and osteoporosis. Literature evidences support that these genes may contribute in explaining the genetic overlaps between obesity and CRC.

No MeSH data available.


Related in: MedlinePlus

Our approach contains three steps: (1) We constructed a comorbidity network based on data mining; (2) we extracted the local network that contains paths from obesity to CRC, and analyzed the local network to pin point the strong comorbidity for both obesity and CRC; (3) we conducted gene expression meta-analysis to identify common genes shared among obesity, CRC and the comorbidity.
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f2-2092390: Our approach contains three steps: (1) We constructed a comorbidity network based on data mining; (2) we extracted the local network that contains paths from obesity to CRC, and analyzed the local network to pin point the strong comorbidity for both obesity and CRC; (3) we conducted gene expression meta-analysis to identify common genes shared among obesity, CRC and the comorbidity.

Mentions: Fig. 2 shows the three steps of our approach. We first mined disease comorbidity relationships from large amounts of patient records and constructed a disease comorbidity network. We then extracted the local comorbidity cluster for obesity and CRC and prioritize the candidate comorbidity that plays a critical role in connecting the two diseases. Finally we conducted gene expression meta-analysis to identify common genes shared by obesity, CRC and the prioritized comorbidity.


Disease Comorbidity Network Guides the Detection of Molecular Evidence for the Link Between Colorectal Cancer and Obesity.

Chen Y, Li L, Xu R - AMIA Jt Summits Transl Sci Proc (2015)

Our approach contains three steps: (1) We constructed a comorbidity network based on data mining; (2) we extracted the local network that contains paths from obesity to CRC, and analyzed the local network to pin point the strong comorbidity for both obesity and CRC; (3) we conducted gene expression meta-analysis to identify common genes shared among obesity, CRC and the comorbidity.
© Copyright Policy
Related In: Results  -  Collection

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getmorefigures.php?uid=PMC4525229&req=5

f2-2092390: Our approach contains three steps: (1) We constructed a comorbidity network based on data mining; (2) we extracted the local network that contains paths from obesity to CRC, and analyzed the local network to pin point the strong comorbidity for both obesity and CRC; (3) we conducted gene expression meta-analysis to identify common genes shared among obesity, CRC and the comorbidity.
Mentions: Fig. 2 shows the three steps of our approach. We first mined disease comorbidity relationships from large amounts of patient records and constructed a disease comorbidity network. We then extracted the local comorbidity cluster for obesity and CRC and prioritize the candidate comorbidity that plays a critical role in connecting the two diseases. Finally we conducted gene expression meta-analysis to identify common genes shared by obesity, CRC and the prioritized comorbidity.

Bottom Line: We constructed a comorbidity network based on mining health data for millions of patients.Our approach was able to prioritize metabolic syndrome and diabetes, which are known to be associated with obesity and CRC through insulin resistance pathways.Interestingly, we found that osteoporosis was highly associated with the connection between obesity and CRC.

View Article: PubMed Central - PubMed

Affiliation: Division of Medical Informatics, Department of EECS Case Western Reserve University Cleveland, Ohio, USA, yxc233@case.edu.

ABSTRACT
Epidemiological studies suggested that obesity increases the risk of colorectal cancer (CRC). The genetic connection between CRC and obesity is multifactorial and inconclusive. In this study, we hypothesize that the study of shared comorbid diseases between CRC and obesity can offer unique insights into common genetic basis of these two diseases. We constructed a comorbidity network based on mining health data for millions of patients. We developed a novel approach and extracted the diseases that play critical roles in connecting obesity and CRC in the comorbidity network. Our approach was able to prioritize metabolic syndrome and diabetes, which are known to be associated with obesity and CRC through insulin resistance pathways. Interestingly, we found that osteoporosis was highly associated with the connection between obesity and CRC. Through gene expression meta-analysis, we identified novel genes shared among CRC, obesity and osteoporosis. Literature evidences support that these genes may contribute in explaining the genetic overlaps between obesity and CRC.

No MeSH data available.


Related in: MedlinePlus