ArticleEnvironmental health : a global access science source2017
A systematic comparison of statistical methods to detect interactions in exposome-health associations.
Article in Environmental health : a global access science source, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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45 citing papers in PubMed, 79 citations in OpenAlex.
- Multiple maternal occupational exposures during pregnancy and newborn size at birth: analysis of the ELFE cohort, a French longitudinal study of children.Scandinavian journal of work, environment & health · 2026Article
- Combined Effects of Metals and PFAS Exposure on Prevalent Diabetes.Journal of xenobiotics · 2026Article
- Spectral clustering identifies patterns of chiropractic care in a national longitudinal cohort.JAMIA open · 2026Article
- Relevance and challenges of exposome studies for environmental health research.Environmental health : a global access science source · 2026Review
- Detecting statistical interactions in immune receptor data: a comparative study.Journal of applied statistics · 2026Article
- Using mixture and exposome methods to assess the associations and interactions of chemical biomarkers with semen parameters.Environment international · 2025Article
- AI tool for predicting MGMT methylation in glioblastoma for clinical decision support in resource limited settings.Scientific reports · 2024Article
- Association between Personal Abiotic Airborne Exposures and Body Composition Changes among Healthy Adults (60-69 Years Old): A Combined Exposome-Wide and Lipidome Mediation Approach from the China BAPE Study.Environmental health perspectives · 2024Article
- [New advances in exposomics-analysis methods and research paradigms based on chromatography-mass spectrometry].Se pu = Chinese journal of chromatography · 2024Review
- Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs).Exposome · 2024Article
- Improving hospital quality risk-adjustment models using interactions identified by hierarchical group lasso regularisation.BMC health services research · 2023Article
- Beyond the single-outcome approach: A comparison of outcome-wide analysis methods for exposome research.Environment international · 2023Article
- Detection of Cardiovascular Disease from Clinical Parameters Using a One-Dimensional Convolutional Neural Network.Bioengineering (Basel, Switzerland) · 2023Article
- Chemical Safety and the Exposome.Emerging contaminants · 2023Article
- Environment- and epigenome-wide association study of obesity in 'Children of 1997' birth cohort.eLife · 2023Article
- Nutritional Modulation of Associations between Prenatal Exposure to Persistent Organic Pollutants and Childhood Obesity: A Prospective Cohort Study.Environmental health perspectives · 2023Article
- Exposures to pesticides and risk of cancer: Evaluation of recent epidemiological evidence in humans and paths forward.International journal of cancer · 2023Article
- Identification of Real-Life Mixtures Using Human Biomonitoring Data: A Proof of Concept Study.Toxics · 2023Article
- Article
- Genes, exposures, and interactions on preterm birth risk: an exploratory study in an Argentine population.Journal of community genetics · 2022Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is growing interest in examining the simultaneous effects of multiple exposures and, more generally, the effects of mixtures of exposures, as part of the exposome concept (being defined as the totality of human environmental exposures from conception onwards). Uncovering such combined effects is challenging owing to the large number of exposures, several of them being highly correlated. We performed a simulation study in an exposome context to compare the performance of several statistical methods that have been proposed to detect statistical interactions.
methodsSimulations were based on an exposome including 237 exposures with a realistic correlation structure. We considered several statistical regression-based methods, including two-step Environment-Wide Association Study (EWAS
resultsGLINTERNET and DSA had better overall performance than the other methods, with GLINTERNET having better properties in terms of selecting the true predictors (sensitivity) and of predictive ability, while DSA had a lower number of false positives. In terms of ability to capture interaction terms, GLINTERNET and DSA had again the best performances, with the same trade-off between sensitivity and false discovery proportion. When GLINTERNET and DSA failed to select an exposure truly associated with the outcome, they tended to select a highly correlated one. When interactions were not present in the data, using variable selection methods that allowed for interactions had only slight costs in performance compared to methods that only searched for main effects.
conclusionsGLINTERNET and DSA provided better performance in detecting two-way interactions, compared to other existing methods.
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