Evidence map›Paper›PMID 34923368›Full record

ArticleEnvironment international2022

Genome-wide gene-air pollution interaction analysis of lung function in 300,000 individuals.

Carl A Melbourne, A Mesut Erzurumluoglu, Nick Shrine, Jing Chen, Martin D Tobin, Anna L Hansell, Louise V Wain

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Genetic susceptibility to respiratory health effects from outdoor air pollution: a structured narrative review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  4. A genome-wide interaction study of thyroid-stimulating hormone levels and particulate matter exposure among Koreans.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2026
    Article
  5. Functional Variant Discovery Identifies a Novel Genetic Link between SPRY2, Wood Smoke, and Asthma.American journal of respiratory cell and molecular biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Genetics of chronic respiratory disease.Nature reviews. Genetics · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
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

7 authors at 4 institutions in 1 country.

Carl A MelbourneDepartment of Health Sciences, University of Leicester, Leicester, UK.
A Mesut ErzurumluogluMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Nick ShrineDepartment of Health Sciences, University of Leicester, Leicester, UK.
Jing ChenDepartment of Health Sciences, University of Leicester, Leicester, UK.
Martin D TobinDepartment of Health Sciences, University of Leicester, Leicester, UK; National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
Anna L HansellCentre for Environmental Health and Sustainability, University of Leicester, Leicester, UK; National Institute for Health Research Health Protection Research Unit in Environmental Exposures and Health at the University of Leicester, Leicester, UK. Electronic address: ah618@leicester.ac.uk.
Louise V WainDepartment of Health Sciences, University of Leicester, Leicester, UK; National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
University of Leicester · GBGlenfield Hospital · GBNational Institute for Health Research · GBUniversity of Cambridge · GB

Funding

Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_PC_19004Medical Research Council MC_QA137853Wellcome Trust 202849/Z/16/ZWellcome Trust WT202849/Z/16/Z
6 · The paper itself

Abstract

backgroundImpaired lung function is predictive of mortality and is a key component of chronic obstructive pulmonary disease. Lung function has a strong genetic component but is also affected by environmental factors such as increased exposure to air pollution, but the effect of their interactions is not well understood.

objectivesTo identify interactions between genetic variants and air pollution measures which affect COPD risk and lung function. Additionally, to determine whether previously identified lung function genetic association signals showed evidence of interaction with air pollution, considering both individual effects and combined effects using a genetic risk score (GRS).

methodsWe conducted a genome-wide gene-air pollution interaction analysis of spirometry measures with three measures of air pollution at home address: particulate matter (PM

resultsWe identified seven new genome-wide interaction signals (P<5×10 DISCUSSION: We carried out the largest genome-wide gene-air pollution interaction study of lung function and identified potential effects of clinically relevant size and significance. We observed up to 440 ml lower lung function for certain genotypes when exposed to mean levels of outdoor air pollution, which is approximately equivalent to nine years of average normal loss of lung function in adults.

Indexed as

Air PollutantsAir PollutionAdultEnvironmental ExposureHumansLungParticulate MatterAir PollutantsParticulate MatterAir pollutionChronic Obstructive Pulmonary DiseaseGene-air pollution interactionsGenome-wideLung functionUK Biobank

Identifiers

PMID34923368
PMCPMC8739564
OpenAlexW4221086306

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.