Evidence map›Paper›PMID 38196893›Full record

ArticleERJ open research2024

Asthma exacerbations and eosinophilia in the UK Biobank: a genome-wide association study.

Ahmed Edris, Kirsten Voorhies, Sharon M Lutz, Carlos Iribarren, Ian Hall, Ann Chen Wu, Martin Tobin, Katherine Fawcett, Lies Lahousse

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The role of theERJ open research · 2025
    Article
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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

9 authors at 5 institutions in 3 countries.

Ahmed EdrisFaculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.ORCID https://orcid.org/0000-0002-4049-5402
Kirsten VoorhiesPrecision Medicine Translational Research Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Sharon M LutzPrecision Medicine Translational Research Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Carlos IribarrenDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Ian HallFaculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK.
Ann Chen WuPrecision Medicine Translational Research Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Martin TobinGenetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK.
Katherine FawcettGenetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK.ORCID https://orcid.org/0000-0002-6675-2112
Lies LahousseFaculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.ORCID https://orcid.org/0000-0002-3494-4363
Harvard University · USUniversity of Leicester · GBGhent University · BEKaiser Permanente · USUniversity of Nottingham · GB

Funding

Age-Dependent Pharmacogenomics of Asthma Treatment (ADAPT)R01HD085993 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI WU, ANN CHEN · 2016 to 2020
$3.1M
The role of sex in genetic association studies of depressionR01MH129337 · NIMH · HARVARD PILGRIM HEALTH CARE, INC. · PI Sharon Marie Lutz · 2022 to 2026
$2.1M
NICHD NIH HHS R01 HD085993NIMH NIH HHS R01 MH129337Wellcome Trust
6 · The paper itself

Abstract

Background: Asthma exacerbations reflect disease severity, affect morbidity and mortality, and may lead to declining lung function. Inflammatory endotypes ( Methods: UK Biobank data were used to perform a genome-wide association study of individuals with asthma and at least one exacerbation compared to individuals with asthma and no history of exacerbations. Individuals with asthma were identified using self-reported data, hospitalisation data and general practitioner records. Exacerbations were identified as either asthma-related hospitalisation, general practitioner record of asthma exacerbation or an oral corticosteroid burst prescription. A logistic regression model adjusted for age, sex, smoking status and genetic ancestry Results: In the UK Biobank, we identified 11 604 cases and 37 890 controls. While no variants reached genome-wide significance (p<5×10 Conclusions: Our study has identified reproducible associations with asthma exacerbations in the UK Biobank and GERA cohorts. Confirmation of these findings in different asthma subphenotypes in diverse ancestries and functional investigation will be required to understand their mechanisms of action and potentially inform therapeutic development.

Identifiers

PMID38196893
PMCPMC10772900
OpenAlexW4389784527

What OpenQuestion holds

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LicenceCC BY-NC
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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.