ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2015
Disease Comorbidity Network Guides the Detection of Molecular Evidence for the Link Between Colorectal Cancer and Obesity.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Complex patterns and determinants of regional multiple chronic conditions across the United States.PNAS nexus · 2024Article
- Comorbidity Patterns in Patients Newly Diagnosed With Colorectal Cancer: Network-Based Study.JMIR public health and surveillance · 2023Observational
- Mining comorbidities of opioid use disorder from FDA adverse event reporting system and patient electronic health records.BMC medical informatics and decision making · 2022Article
- Combining phenome-driven drug-target interaction prediction with patients' electronic health records-based clinical corroboration toward drug discovery.Bioinformatics (Oxford, England) · 2020Article
- Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining.eLife · 2019Article
- Context-sensitive network analysis identifies food metabolites associated with Alzheimer's disease: an exploratory study.BMC medical genomics · 2019Article
- Large-scale mining disease comorbidity relationships from post-market drug adverse events surveillance data.BMC bioinformatics · 2018Article
- Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes.Journal of biomedical informatics · 2018Article
- Identification of key genes and pathways associated with obesity in children.Experimental and therapeutic medicine · 2017Article
- Context-sensitive network-based disease genetics prediction and its implications in drug discovery.Bioinformatics (Oxford, England) · 2017Article
- Interrogating Patient-level Genomics and Mouse Phenomics towards Understanding Cytokines in Colorectal Cancer Metastasis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- Phenome-based gene discovery provides information about Parkinson's disease drug targets.BMC genomics · 2016Article
- Towards precision medicine-based therapies for glioblastoma: interrogating human disease genomics and mouse phenotypes.BMC genomics · 2016Article
- Explore Small Molecule-induced Genome-wide Transcriptional Profiles for Novel Inflammatory Bowel Disease Drug.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
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.
Indexed as
Identifiers
26306270PMC4525229W1010479107What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.