Evidence map›Paper›PMID 42440828›Full record

ArticleERJ open research2026

Genetic variants underpinning lung function decline in the Lifelines general population cohort study.

Rui Marçalo, Corry-Anke Brandsma, Peter J van der Most, Alda Marques, Gabriela R Moura, Maarten van den Berge, Judith M Vonk, Maaike de Vries

Abstract read
In one paragraph

Article in ERJ open research, 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
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0citing papers in PubMed
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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

8 authors.

Rui MarçaloGenome Medicine Lab, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0003-0699-335X
Corry-Anke BrandsmaGroningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-8911-3658
Peter J van der MostUniversity of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-8450-3518
Alda MarquesRespiratory Research and Rehabilitation Laboratory (Lab3R), School of Health Sciences (ESSUA) and iBiMED, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0003-4980-6200
Gabriela R MouraGenome Medicine Lab, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.ORCID https://orcid.org/0000-0003-2243-6123
Maarten van den BergeUniversity of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands.ORCID https://orcid.org/0000-0002-9336-7340
Judith M VonkGroningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-7531-4547
Maaike de VriesGroningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-7210-8174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: Variations in age-related lung function decline are associated with genetic and environmental factors. The genetic variants contributing to this decline remain largely unknown, limiting the understanding of individual susceptibility and potential interventions. This study aims to uncover the genetic factors associated with lung function decline, using the Lifelines cohort study. Methods: Longitudinal data covering three visits over approximately 15 years were available. Genotyping and longitudinal spirometry data were present for 24 749 subjects aged 25 years or older at baseline. A three-step approach was used. First, lung function change over time was estimated using a linear mixed-effects model. Second, a genome-wide association study for the estimated change was conducted, adjusting for age, sex, smoking load and the first 10 principal components. Third, single-nucleotide polymorphisms (SNPs) with p-value<1×10 Measurements and main results: Among the included individuals, 19 722 had spirometry at two time points and 5027 at three, with median (IQR) follow-up of 8.1 (4.4-10.4) and 12.1 (11-13.6) years, respectively. We identified 67 variants suggestively associated with lung function decline (p<1×10 Conclusions: This study shows a role of genetics in lung function decline, emphasising the importance of exploring the interplay between genetic and environmental factors.

Identifiers

PMID42440828
PMCPMC13334352

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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.