ReviewEnvironmental science & technology2024
Adopting Mechanistic Molecular Biology Approaches in Exposome Research for Causal Understanding.
Review in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
12 citing papers in PubMed.
- Linking the exposome to the brain-behaviour phenotype.Nature reviews. Neuroscience · 2026Review
- Harnessing Deep Learning Models for Guide RNA Optimization and Off-Target Prediction in CRISPR Systems.Biotechnology journal · 2026Review
- High-Throughput Toxicity Screening withEnvironmental science & technology · 2026Review
- Weighted network analysis of adverse outcome pathways decodes the multiscale mechanisms of environmental toxicity.Environmental science and ecotechnology · 2026Article
- Cancer and Environmental Xenobiotics: Mechanisms, Controversies, and Innovations.Journal of xenobiotics · 2025Review
- Balancing water efficiency and crop productivity: rhizosphere microbiome shifts in drought-resistant rice.World journal of microbiology & biotechnology · 2025Article
- Advancing translational exposomics: bridging genome, exposome and personalized medicine.Human genomics · 2025Review
- Bioactivity Profiling of Chemical Mixtures for Hazard Characterization.Environmental science & technology · 2025Article
- The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity.Nucleic acids research · 2025Article
- Exploring genetic susceptibility to air pollution and its implications for disease risk and precision health: A scoping review.AIMS public health · 2025Review
- The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity.bioRxiv : the preprint server for biology · 2024Article
- DNA Adductomics: A Narrative Review of Its Development, Applications, and Future.Biomolecules · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Through investigating the combined impact of the environmental exposures experienced by an individual throughout their lifetime, exposome research provides opportunities to understand and mitigate negative health outcomes. While current exposome research is driven by epidemiological studies that identify associations between exposures and effects, new frameworks integrating more substantial population-level metadata, including electronic health and administrative records, will shed further light on characterizing environmental exposure risks. Molecular biology offers methods and concepts to study the biological and health impacts of exposomes in experimental and computational systems. Of particular importance is the growing use of omics readouts in epidemiological and clinical studies. This paper calls for the adoption of mechanistic molecular biology approaches in exposome research as an essential step in understanding the genotype and exposure interactions underlying human phenotypes. A series of recommendations are presented to make the necessary and appropriate steps to move from exposure association to causation, with a huge potential to inform precision medicine and population health. This includes establishing hypothesis-driven laboratory testing within the exposome field, supported by appropriate methods to read across from model systems research to human.
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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.