Evidence map›Paper›PMID 41616791›Full record

ArticleThe Lancet. Respiratory medicine2026

Polygenic risk and rare variants in endotypes of idiopathic pulmonary fibrosis: a genetic analysis of population-based and case-control cohorts.

Anna Duckworth, Leigh Jackson, Harry Green, Atlas Khan, Chen Wang, Andrew Condescu, Gareth Hawkes, Imre Noth, Fernando J Martinez, Ganesh Raghu and 9 more

Abstract read
In one paragraph

Article in The Lancet. Respiratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Age-dependent Genetic Risk in Pulmonary Fibrosis Patients and Relatives.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Anna DuckworthDepartment of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK; NIHR Exeter Biomedical Research Centre, University of Exeter, Exeter, UK; Academic Department of Respiratory Medicine, Royal Devon University Hospitals NHS Foundation Trust, Exeter, UK.
Leigh JacksonDepartment of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK.
Harry GreenDepartment of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK.
Atlas KhanDivision of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Chen WangDivision of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Andrew CondescuDepartment of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK; NIHR Exeter Biomedical Research Centre, University of Exeter, Exeter, UK.
Gareth HawkesDepartment of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK.
Imre NothDivision of Pulmonary and Critical Care, Department of Medicine, University of Virginia, Charlottesville, VA, USA.
Fernando J MartinezDivision of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Massachusetts, Worcester, MA, USA.
Ganesh RaghuDivision of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington Medical Center, Seattle, WA, USA.
Chad A NewtonDivision of Pulmonary and Critical Care, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Matthew MollChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mass General Brigham, Boston, MA, USA; Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Veterans Affairs, West Roxbury, MA, USA.
Michael ChoChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mass General Brigham, Boston, MA, USA.
Michael GibbonsDepartment of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK; NIHR Exeter Biomedical Research Centre, University of Exeter, Exeter, UK; Academic Department of Respiratory Medicine, Royal Devon University Hospitals NHS Foundation Trust, Exeter, UK.
Chris J ScottonDepartment of Biomedical and Clinical Sciences, University of Exeter, Exeter, UK; NIHR Exeter Biomedical Research Centre, University of Exeter, Exeter, UK; Academic Department of Respiratory Medicine, Royal Devon University Hospitals NHS Foundation Trust, Exeter, UK.
Columbia Genomics Consortium
Krzysztof KirylukDivision of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Christine Kim GarciaPrecision Medicine Institute, Columbia University Irving Medical Center, New York, NY, USA; Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
David ZhangDivision of Pulmonary, Allergy, and Critical Care, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA. Electronic address: dz2409@cumc.columbia.edu.

Funding

Pulmonary Fibrosis and Telomerase DysfunctionR01HL093096 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI GARCIA, CHRISTINE KIM · 2009 to 2024
$6.9M
The role of quantitative CT and radiomic biomarkers for precision medicine in pulmonary fibrosisR01HL171918 · NHLBI · UNIVERSITY OF VIRGINIA · PI Imre Noth · 2024 to 2026
$2.2M
The Prognostic and Predictive Impact of Telomere Length in Fibrotic Interstitial Lung DiseaseR01HL176839 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Chad Alan Newton · 2025 to 2026
$1.5M
1/2 Prospective tReatment EffiCacy in IPF uSlng genOtype for Nac Selection (PRECISIONS) trial and Molecular Endophenotyping in Idiopathic Pulmonary Fibrosis and Interstitial Lung Diseases studyUG3HL145266 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MARTINEZ, FERNANDO J, NOTH, IMRE · 2019 to 2019
$977k
Multi-omic Risk Prediction of Chronic Obstructive Pulmonary Disease in European- and African-Ancestry Populations_SupplementK08HL159318 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Matthew R Moll · 2022 to 2026
$918k
Molecular Markers of Idiopathic Pulmonary Fibrosis ProgressionK23HL148498 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI NEWTON, CHAD ALAN · 2020 to 2024
$891k
Multi-omic profiling of IPF endotypesK08HL169926 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Da Zhang · 2024 to 2026
$498k
NHLBI NIH HHS K08 HL159318NHLBI NIH HHS K08 HL169926NHLBI NIH HHS K23 HL148498NHLBI NIH HHS R01 HL093096NHLBI NIH HHS R01 HL171918NHLBI NIH HHS R01 HL176839NHLBI NIH HHS UG3 HL145266
6 · The paper itself

Abstract

backgroundIdiopathic pulmonary fibrosis (IPF) and telomere length are both strongly linked to rare and common genetic variants. Shortened telomere length might itself be causal for IPF. We aimed to evaluate whether rare and common variants compete or cooperate to confer genetic risk of IPF uniformly.

methodsIn this genetic analysis, we used whole-genome sequencing (WGS) data from a discovery case-control cohort sequenced at Columbia University and validated findings using WGS data from Trans-Omics for Precision Medicine (TOPMed) and UK Biobank. In all cohorts, we identified rare damaging variants in disease-associated genes and computed control-normalised non-overlapping polygenic risk scores (PRS) for IPF and telomere length. We assessed the MUC5B rs35705950 single-nucleotide polymorphism (SNP), an IPF common risk variant with a large effect, independently from the polygenic scores. Telomere length in blood leukocytes was measured using a quantitative PCR assay for the discovery cohort and UK Biobank validation cohort. We conducted logistic regression (adjusting for age, sex, and principal components of ancestry) to evaluate the association between IPF risk and the MUC5B SNP, the IPF PRS excluding MUC5B (IPF-PRS-noMUC5B), and the PRS for telomere length in the overall cohort and analysed their effects in patient subgroups for IPF endotypes (carriers and non-carriers of rare variants stratified by telomere length cutoffs). To assess disease prediction, we calculated cross-validated area under the receiver operating receiver operating curve (AUC). We also compared the liability of IPF explained by genetic variables.

findingsThe discovery cohort was recruited between April 23, 2003 and June 19, 2019 and included 777 patients with IPF and 2905 controls. We replicated the analyses in the TOPMed (1148 patients with IPF and 5202 controls) and UK Biobank (2739 patients with IPF and 395 331 controls) cohorts. 23-43% of patients with IPF had damaging rare variants or telomeres shorter than the tenth percentile. Analysis of the association of genetic variables with IPF diagnosis yielded odds ratios of 1·63 (95% CI 1·47-1·81) for telomere length PRS and 1·60 (1·44-1·77) for IPF-PRS-noMUC5B in the discovery cohort, with similar effect sizes for the two variables in the replication cohorts (1·47, 1·36-1·59 vs 1·37, 1·25-1·50 in TOPMed; 1·24, 1·19-1·29 vs 1·25, 1·21-1·30 in UK Biobank). The telomere length PRS had the greatest effect on disease risk in patients with IPF not harbouring rare variants and with telomere length shorter than the tenth percentile in the discovery cohort (2·02, 1·76-2·33) and UK Biobank replication cohort (1·70, 1·56-1·85). Accounting for clinical variables and all genetic variables (rare variants, MUC5B SNP, IPF PRS, and telomere length PRS) led to the best disease prediction in the discovery cohort (combined AUC 0·89), TOPMed cohort (0·89), and UK Biobank cohort (0·77). Rare and common variants contributed jointly to the genetic liability of IPF. The telomere length PRS accounted for 13% of the explained genetic liability of IPF in the discovery cohort and 8% and 13% in the TOPMed and UK Biobank cohorts, respectively.

interpretationCommon and rare genetic variation confer context-specific genetic risk in patients with IPF both competitively and cooperatively. In contrast to known IPF common risk variants, the telomere length PRS, which includes more than 180 genetic loci not previously associated with IPF, is associated with increased risk of disease in patients with specific IPF endotypes. Polygenic risk from telomere-associated common variants is a key feature of genetic heterogeneity in IPF.

fundingUS National Institutes of Health, UK Medical Research Council, and UK National Institute for Health and Care Research.

Indexed as

Idiopathic Pulmonary FibrosisMucin-5BAgedCase-Control StudiesCohort StudiesFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMaleMiddle AgedMultifactorial InheritancePolymorphism, Single NucleotideTelomereWhole Genome SequencingMUC5B protein, humanMucin-5B

Identifiers

PMID41616791
PMCPMC12952213

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