Evidence map›Paper›PMID 41314149›Full record

SynthesisEBioMedicine2025

Common and rare variant analyses reveal genetic factors underlying idiopathic pulmonary fibrosis and its shared aetiology with severe COVID-19.

Athanasios Kousathanas, Christopher A Odhams, James Cook, Yao Hu, Stephan Klee, A Mesut Erzurumluoglu, Fidel Ramirez, Christoph Mayr, Dennis Schäfer, Lara Beck and 13 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in EBioMedicine, 2025. 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

23 authors.

Athanasios KousathanasGenomics England, London, UK. Electronic address: Athanasios.Kousathanas@genomicsengland.co.uk.
Christopher A OdhamsGenomics England, London, UK.
James CookGenomics England, London, UK.
Yao HuGlobal Computational Biology and Digital Sciences (gCBDS), Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Stephan KleeImmunology and Respiratory, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
A Mesut ErzurumluogluGlobal Computational Biology and Digital Sciences (gCBDS), Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Fidel RamirezGlobal Computational Biology and Digital Sciences (gCBDS), Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Christoph MayrImmunology and Respiratory, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Dennis SchäferImmunology and Respiratory, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Lara BeckImmunology and Respiratory, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Ingrid ChristImmunology and Respiratory, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Taekyu LeeDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
James Christopher TarrDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
Steven W FesikDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, USA.
James DuboffGenomics England, London, UK.
Frederik Wirtz-PeitzGenomics England, London, UK.
Loukas MoutsianasGenomics England, London, UK.
Matthew A BrownGenomics England, London, UK.
Jan KrieglGlobal Computational Biology and Digital Sciences (gCBDS), Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Goerge OkafoGlobal Computational Biology and Digital Sciences (gCBDS), Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Jan N JensenGlobal Computational Biology and Digital Sciences (gCBDS), Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Matthew J ThomasImmunology and Respiratory, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Zhihao DingGlobal Computational Biology and Digital Sciences (gCBDS), Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany. Electronic address: zhihao.ding@boehringer-ingelheim.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdiopathic pulmonary fibrosis (IPF) is a progressive and debilitating respiratory disease with limited therapeutic options. Genetic association studies for IPF have identified several associations and probable effector genes that could not only help understanding IPF pathogenesis but also develop effective treatments. Assessing genetic overlap between IPF and severe COVID-19, an acute respiratory disease that can trigger pulmonary fibrosis, may reveal shared aetiology and mechanisms, thereby supporting the development of common treatments.

methodsWe carried out genome-wide association studies (GWAS), post-GWAS, and rare variant analyses using whole genome sequencing data from the 100,000 Genomes Project IPF cohort (n = 586). We performed a meta-analysis combining 100 kGP with published IPF GWASs (total 11,746 cases and 1,416,493 controls). We tested inhibition in vitro for a probable effector gene of an identified association. We also investigated genetic colocalisation between IPF and severe COVID-19 and leveraged their genetic correlation through multi-trait meta-analysis for discovery.

findingsIPF meta-analysis identified an additional association at 1q21.2 (rs16837903, OR [95% CI] = 0.88 [0.85, 0.92], P = 9.5 × 10

interpretationThese findings prioritise probable effector genes mediating IPF risk and identify potential therapeutic targets that require validation, with genes colocalising with severe COVID-19 suggesting potential for developing common treatments.

fundingNone.

Indexed as

COVID-19Genetic Predisposition to DiseaseIdiopathic Pulmonary FibrosisGenome-Wide Association StudyHumansPolymorphism, Single NucleotideSARS-CoV-2Drug target discoveryGenome wide association studyIdiopathic pulmonary fibrosisSevere COVID-19Whole genome sequencing

Identifiers

PMID41314149
PMCPMC12703957

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.