ArticleExposome2025
A statistical workflow for analyzing the untargeted chemical exposome and metabolome in epidemiologic studies using high-dimensional mixture methods.
Article in Exposome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Comparison of environmental mixture methods for estimating the joint effects of environmental mixtures.Environmental research · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
Humans are exposed to upwards of thousands of chemicals simultaneously, but research has traditionally focused on the health effects of only one chemical at a time. Single-chemical analyses not only underestimate total health risk, but also ignore bias from multicollinearity and co-exposure confounding between chemicals. Advanced statistical mixture methods address these challenges and allow us to both estimate the cumulative health effect of chemical mixtures and identify the strongest chemical contributors. At the same time, untargeted chemical exposome profiling through high-resolution mass spectrometry (HRMS) now supports measurement of over 100,000 chemical signals in biospecimens. However, most mixture methods cannot evaluate untargeted exposome data containing more chemical variables than samples. Weighted quantile sum regression with its recent random subsets implementation (WQS
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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.