ReviewCurrent epidemiology reports2017
Analytic Complexity and Challenges in Identifying Mixtures of Exposures Associated with Phenotypes in the Exposome Era.
Review in Current epidemiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed.
- Comparison of environmental mixture methods for estimating the joint effects of environmental mixtures.Environmental research · 2026Article
- Accelerating discovery of cancer causes for prevention in the era of rising early-onset cancers.Cell · 2026Review
- Nontargeted screening identifies mixtures of environmental pollutants that are associated with perturbations to amino acid and fatty acid metabolic pathways during early pregnancy.Environment international · 2026Article
- The Influence of Sleep and Diet on Human Peripheral Immunity and Chronic Health Conditions.Research (Washington, D.C.) · 2026Article
- Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review.Current environmental health reports · 2025Review
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- Machine learning-driven identification of air toxic combinations associated with asthma symptoms among elementary school children in Spokane, Washington, USA.The Science of the total environment · 2024Article
- A review of air pollution as a driver of cardiovascular disease risk across the diabetes spectrum.Frontiers in endocrinology · 2024Review
- Identification of PCB congeners and their thresholds associated with diabetes using decision tree analysis.Scientific reports · 2023Article
- Exposomics as a tool to investigate differences in health and disease by sex and gender.Exposome · 2023Review
- A weighted quantile sum regression with penalized weights and two indices.Frontiers in public health · 2023Article
- Machine Learning Algorithms for understanding the determinants of under-five Mortality.BioData mining · 2022Article
- AI/ML-driven advances in untargeted metabolomics and exposomics for biomedical applications.Cell reports. Physical science · 2022Article
- Prevalence of multiple exposures to occupational hazards in some industries in China.Health science reports · 2022Article
- An exposome connectivity paradigm for the mechanistic assessment of the effects of prenatal and early life exposure to metals on neurodevelopment.Frontiers in public health · 2022Article
- Machine learning-driven identification of early-life air toxic combinations associated with childhood asthma outcomes.The Journal of clinical investigation · 2021Article
- Utilizing a Biology-Driven Approach to Map the Exposome in Health and Disease: An Essential Investment to Drive the Next Generation of Environmental Discovery.Environmental health perspectives · 2021Article
- Interdisciplinary data science to advance environmental health research and improve birth outcomes.Environmental research · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
purpose of reviewMixtures, or combinations and interactions between multiple environmental exposures, are hypothesized to be causally linked with disease and health-related phenotypes. Established and emerging molecular measurement technologies to assay the RECENT
findingsExisting and emerging machine-learning methods and data analytic approaches (e.g., "environment-wide association studies" [EWASs]), as well as large cohorts may enhance possibilities to identify mixtures of correlated exposures associated with phenotypes; however, the analytic complexity of identifying mixtures is immense. SUMMARY: If the exposome concept is realized, new analytical methods and large sample sizes will be required to ascertain how mixtures are associated with disease. The author recommends documenting prevalent correlated exposures and replicated main effects prior to identifying mixtures.
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Registered trials
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