ArticleBioinformatics (Oxford, England)2018
comoRbidity: an R package for the systematic analysis of disease comorbidities.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Propensity-Matched Case Control Study of Anti-Interleukin-23 Therapies in Clostridioides difficile Infection.Research square · 2026Article
- Regulatory mechanisms driven by functional 3'-UTR variants in alcohol use disorder and related traits.Genome biology · 2026Article
- Association Between Depression and Increased Odds of Inpatient Mortality Following Hip Fracture Repair.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Article
- Multisystem failure, tipping points, and risk of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Observational
- Discovering genetic mechanisms underlying the co-occurrence of Parkinson's disease and non-motor traits.NPJ Parkinson's disease · 2024Article
- Association of medical comorbidities in obese subjects diagnosed with heparin-induced thrombocytopenia.SAGE open medicine · 2024Article
- De novo network analysis reveals autism causal genes and developmental links to co-occurring traits.Life science alliance · 2023Article
- Renal disease and diabetes increase the risk of failed outpatient management of cellulitic hand infections: a retrospective cohort study.Journal of orthopaedic surgery and research · 2023Article
- Article
- Comorbidities and ethnic health disparities in the UK biobank.JAMIA open · 2022Article
- Validation of Clinical Risk Models for Clostridioides difficileAntimicrobial agents and chemotherapy · 2022Article
- Extracting Significant Comorbid Diseases from MeSH Index of PubMed.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Integrating Multimorbidity into a Whole-Body Understanding of Disease Using Spatial Genomics.Results and problems in cell differentiation · 2022Article
- An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records.PLOS digital health · 2022Article
- Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases.Computers in biology and medicine · 2021Article
- A Poisson binomial-based statistical testing framework for comorbidity discovery across electronic health record datasets.Nature computational science · 2021Article
- Common genetic associations between age-related diseases.Nature aging · 2021Article
- System biology and bioinformatics pipeline to identify comorbidities risk association: Neurodegenerative disorder case study.PloS one · 2021Article
- EHRtemporalVariability: delineating temporal data-set shifts in electronic health records.GigaScience · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motivation: The study of comorbidities is a major priority due to their impact on life expectancy, quality of life and healthcare cost. The availability of electronic health records (EHRs) for data mining offers the opportunity to discover disease associations and comorbidity patterns from the clinical history of patients gathered during routine medical care. This opens the need for analytical tools for detection of disease comorbidities, including the investigation of their underlying genetic basis. Results: We present comoRbidity, an R package aimed at providing a systematic and comprehensive analysis of disease comorbidities from both the clinical and molecular perspectives. comoRbidity leverages from (i) user provided clinical data from EHR databases (the clinical comorbidity analysis) and (ii) genotype-phenotype information of the diseases under study (the molecular comorbidity analysis) for a comprehensive analysis of disease comorbidities. The clinical comorbidity analysis enables identifying significant disease comorbidities from clinical data, including sex and age stratification and temporal directionality analyses, while the molecular comorbidity analysis supports the generation of hypothesis on the underlying mechanisms of the disease comorbidities by exploring shared genes among disorders. The open-source comoRbidity package is a software tool aimed at expediting the integrative analysis of disease comorbidities by incorporating several analytical and visualization functions. Availability and implementation: https://bitbucket.org/ibi_group/comorbidity. Supplementary information: Supplementary data are available at Bioinformatics online.
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