Evidence map›Paper›PMID 42419777›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2026

Genetic susceptibility to respiratory health effects from outdoor air pollution: a structured narrative review.

Yidan Meng, Ji Soo Lim, Christine Chen, Christopher F Rider, Min Hyung Ryu, Christopher Carlsten

Abstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yidan MengAir Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Ji Soo LimAir Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Christine ChenAir Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Christopher F RiderAir Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada carlsten@mail.ubc.ca.
Min Hyung RyuAir Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0003-3071-7363
Christopher CarlstenAir Pollution Exposure Lab, Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0003-2455-6575

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outdoor air pollution exposure is a well-established driver of respiratory disease, while growing evidence highlights an important role for genetic susceptibility. Building on this expanding body of work, our review synthesises findings across studies and provides an integrated overview. Here, we present a structured literature review summarising study characteristics and statistically significant single nucleotide polymorphisms (SNPs) reported in gene-environment interaction studies of air pollution related respiratory outcomes. By consolidating this evidence, the review clarifies current findings and supports more rigorous, evidence-based risk stratification in future observational and intervention studies. We included 48 peer-reviewed studies in humans published between 2014 and 2024 that examined gene-environment interactions involving SNPs, outdoor air pollution exposure and respiratory outcomes. Studies primarily evaluating particulate matter with aerodynamic diameter <2.5 µm and <10 μm, and nitrogen dioxide included respiratory end-points, such as asthma, COPD and lung-function measures. The majority of analyses used regression-based methods, supplemented by mixed-effects and generalised estimating equation models. Candidate gene studies (particularly in the glutathione S-transferase (GST) family) along with polygenic risk scores and genome-wide interaction approaches identified 89 SNPs across 53 genes. Replicated variants involved pathways in oxidative stress detoxification (

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureLungPolymorphism, Single NucleotideRespiratory Tract DiseasesGene-Environment InteractionGenetic Predisposition to DiseaseGenetic Risk ScoreHumansParticulate MatterPhenotypeRisk AssessmentRisk FactorsAir PollutantsParticulate Matter

Identifiers

PMID42419777
PMCPMC13343214

What OpenQuestion holds

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Registered trials

None linked

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.