ArticleJournal of the American Medical Informatics Association : JAMIA
Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses.Frontiers in oncology · 2024Pooled it
- Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review.BioMed research international · 2022Pooled it
- Latent heterogeneity of muscle-invasive bladder cancer in patient characteristics and survival: A population-based nation-wide study in the Bladder Cancer Data Base Sweden (BladderBaSe).Cancer medicine · 2023Article
- Genetics and precision health: the ecological fallacy and artificial intelligence solutions.BioData mining · 2023Article
- Genetic heterogeneity: Challenges, impacts, and methods through an associative lens.Genetic epidemiology · 2022Review
- Data mining and mathematical models in cancer prognosis and prediction.Medical review (2021) · 2022Review
- EMP2 induces cytostasis and apoptosis via the TGFβ/SMAD/SP1 axis and recruitment of P2RX7 in urinary bladder urothelial carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2021Article
- Two-Stage Approaches to Accounting for Patient Heterogeneity in Machine Learning Risk Prediction Models in Oncology.JCO clinical cancer informatics · 2021Article
- Novel EDGE encoding method enhances ability to identify genetic interactions.PLoS genetics · 2021Article
- ABT-751 Induces Multiple Anticancer Effects in Urinary Bladder Urothelial Carcinoma-Derived Cells: Highlighting the Induction of Cytostasis through the Inhibition ofInternational journal of molecular sciences · 2021Article
- Photosynthetic protein classification using genome neighborhood-based machine learning feature.Scientific reports · 2020Article
- Article
- Embracing study heterogeneity for finding genetic interactions in large-scale research consortia.Genetic epidemiology · 2020Article
- Benchmarking relief-based feature selection methods for bioinformatics data mining.Journal of biomedical informatics · 2018Article
- Heterogeneity Analysis and Diagnosis of Complex Diseases Based on Deep Learning Method.Scientific reports · 2018Article
- Method for generating multiple risky barcodes of complex diseases using ant colony algorithm.Theoretical biology & medical modelling · 2017Article
- Functional networks inference from rule-based machine learning models.BioData mining · 2016Article
- ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier System.Evolutionary intelligence · 2015Article
- Article
- Machine learning applications in cancer prognosis and prediction.Computational and structural biotechnology journal · 2015Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
BACKGROUND AND
objectiveDetecting complex patterns of association between genetic or environmental risk factors and disease risk has become an important target for epidemiological research. In particular, strategies that provide multifactor interactions or heterogeneous patterns of association can offer new insights into association studies for which traditional analytic tools have had limited success. MATERIALS AND
methodsTo concurrently examine these phenomena, previous work has successfully considered the application of learning classifier systems (LCSs), a flexible class of evolutionary algorithms that distributes learned associations over a population of rules. Subsequent work dealt with the inherent problems of knowledge discovery and interpretation within these algorithms, allowing for the characterization of heterogeneous patterns of association. Whereas these previous advancements were evaluated using complex simulation studies, this study applied these collective works to a 'real-world' genetic epidemiology study of bladder cancer susceptibility. RESULTS AND DISCUSSION: We replicated the identification of previously characterized factors that modify bladder cancer risk--namely, single nucleotide polymorphisms from a DNA repair gene, and smoking. Furthermore, we identified potentially heterogeneous groups of subjects characterized by distinct patterns of association. Cox proportional hazard models comparing clinical outcome variables between the cases of the two largest groups yielded a significant, meaningful difference in survival time in years (survivorship). A marginally significant difference in recurrence time was also noted. These results support the hypothesis that an LCS approach can offer greater insight into complex patterns of association.
conclusionsThis methodology appears to be well suited to the dissection of disease heterogeneity, a key component in the advancement of personalized medicine.
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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.