ArticleBioinformatics (Oxford, England)2012
Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease.
Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed.
- Lung cancer risk in workers occupationally exposed to polycyclic aromatic hydrocarbons with emphasis on the role of DNA repair gene.International archives of occupational and environmental health · 2023Article
- Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.Briefings in bioinformatics · 2017Article
- The Next Generation of Risk Assessment Multi-Year Study-Highlights of Findings, Applications to Risk Assessment, and Future Directions.Environmental health perspectives · 2016Review
- Analytical Complexity in Detection of Gene Variant-by-Environment Exposure Interactions in High-Throughput Genomic and Exposomic Research.Current environmental health reports · 2016Review
- MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization.Scientific reports · 2015Article
- Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts.Environmental health perspectives · 2015Article
- Development of exposome correlation globes to map out environment-wide associations.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2015Article
- Considerations for Using Genetic and Epigenetic Information in Occupational Health Risk Assessment and Standard Setting.Journal of occupational and environmental hygiene · 2015Article
- Personalized sequencing and the future of medicine: discovery, diagnosis and defeat of disease.Pharmacogenomics · 2014Article
- Expert panel workshop consensus statement on the role of the environment in the development of autoimmune disease.International journal of molecular sciences · 2014Review
- The identification of complex interactions in epidemiology and toxicology: a simulation study of boosted regression trees.Environmental health : a global access science source · 2014Article
- Genetic associations with micronutrient levels identified in immune and gastrointestinal networks.Genes & nutrition · 2014Article
- Disease risk factors identified through shared genetic architecture and electronic medical records.Science translational medicine · 2014Article
- Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility.World journal of diabetes · 2014Review
- Environment-wide association study (EWAS) for type 2 diabetes in the Marshfield Personalized Medicine Research Project Biobank.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2014Article
- Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus.Human genetics · 2013Article
- Toxoplasmosis and Polygenic Disease Susceptibility Genes: Extensive Toxoplasma gondii Host/Pathogen Interactome Enrichment in Nine Psychiatric or Neurological Disorders.Journal of pathogens · 2013Article
- Article
- Exposome informatics: considerations for the design of future biomedical research information systems.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
motivationComplex diseases, such as Type 2 Diabetes Mellitus (T2D), result from the interplay of both environmental and genetic factors. However, most studies investigate either the genetics or the environment and there are a few that study their possible interaction in context of disease. One key challenge in documenting interactions between genes and environment includes choosing which of each to test jointly. Here, we attempt to address this challenge through a data-driven integration of epidemiological and toxicological studies. Specifically, we derive lists of candidate interacting genetic and environmental factors by integrating findings from genome-wide and environment-wide association studies. Next, we search for evidence of toxicological relationships between these genetic and environmental factors that may have an etiological role in the disease. We illustrate our method by selecting candidate interacting factors for T2D.
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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.