Evidence map›Paper›PMID 41764487›Full record

SynthesisRespiratory research2026

Multi-ancestry genome-wide association study and meta-analysis of lung function decline.

Bonnie K Patchen, Jingwen Zhang, Nathan Gaddis, Traci M Bartz, Jing Chen, Catherine Debban, Hampton Leonard, Ngoc Quynh H Nguyen, Jungkyun Seo, Courtney Tern and 27 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Respiratory 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
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

5 · Who and what money

Authors and funding

37 authors.

Bonnie K Patchen *Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
Jingwen Zhang *Boston University School of Public Health, Boston, MA, USA.
Nathan GaddisRTI International, Research Triangle Park, NC, USA.
Traci M BartzCardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA.
Jing ChenDivision of Public Health and Epidemiology, School of Medical Sciences, University of Leicester, Leicester, UK.
Catherine DebbanDepartment of Genome Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
Hampton LeonardLaboratory of Neurogenetics, National Institute of Aging, National Institute of Health, Bethesda, MD, USA.
Ngoc Quynh H NguyenSchool of Public Health, University of Texas Health Science Center, Houston, TX, USA.
Jungkyun SeoDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Courtney TernChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Richard AllenDivision of Public Health and Epidemiology, School of Medical Sciences, University of Leicester, Leicester, UK.
Dawn L DeMeoChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Myriam FornageBrown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA.
Carl MelbourneDivision of Public Health and Epidemiology, School of Medical Sciences, University of Leicester, Leicester, UK.
Melyssa MintoRTI International, Research Triangle Park, NC, USA.
Matthew MollChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
George T O'ConnorBoston University School of Medicine, Boston, MA, USA.
Tess PottingerInstitute for Genomic Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Bruce M PsatyCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, Health Systems and Population Health, University of Washington, Seattle, WA, USA.
Stephen S RichDepartment of Genome Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
Edwin K SilvermanChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Jeran StratfordRTI International, Research Triangle Park, NC, USA.
Chengyue ZhangChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
R Graham BarrDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Michael H ChoChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Sina A GharibDivision of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA.
Ani ManichaikulDepartment of Genome Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
Kari NorthDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Elizabeth C OelsnerDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Eleanor M SimonsickIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Martin D TobinDivision of Public Health and Epidemiology, School of Medical Sciences, University of Leicester, Leicester, UK.
Bing YuSchool of Public Health, University of Texas Health Science Center, Houston, TX, USA.
Seung Hoan ChoiBoston University School of Public Health, Boston, MA, USA.
Josée Dupuis *Boston University School of Public Health, Boston, MA, USA.
Patricia A Cassano *Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
Dana B Hancock *RTI International, Research Triangle Park, NC, USA. dhancock@rti.org.

Funding

Pulmonary microvascular perfusion in the Multi-Ethnic Study of AtherosclerosisR01HL077612 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI R Graham BARR · 2004 to 2026
$18.8M
Pulmonary Vascular Changes in Early Chronic Obstructive Pulmonary Disease (COPD)R01HL093081 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI R Graham BARR · 2008 to 2026
$17.2M
SYSTEMS APPROACHES TO THE EPIDEMIOLOGY, GENETICS AND GENOMICS OF LUNG DISEASEST32HL007427 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI DAWN L DEMEO, Edwin K Silverman · 1985 to 2026
$13.6M
NUTRITION TRAININGT32DK007158 · NIDDK · CORNELL UNIVERSITY ITHACA · PI PATRICIA A CASSANO, Julia L. Finkelstein · 1986 to 2026
$7.4M
Nutritional Omics of Pulmonary Function DeclineR01HL149352 · NHLBI · RESEARCH TRIANGLE INSTITUTE · PI CASSANO, PATRICIA A, HANCOCK, DANA B · 2019 to 2022
$3.1M
Infrastructure for mentored access to CHS data and specimensR01HL172803 · NHLBI · UNIVERSITY OF WASHINGTON · PI James S Floyd, Michelle Christina Odden · 2025 to 2026
$2.7M
NHLBI NIH HHS R01 HL077612NHLBI NIH HHS R01 HL093081NHLBI NIH HHS R01HL149352NHLBI NIH HHS R01 HL172803NIDDK NIH HHS T32DK007158NIH HHS T32HL007427
6 · The paper itself

Abstract

backgroundDespite evidence for a genetic component, few genetic associations with lung function decline have been identified. We aimed to evaluate genome-wide associations and putative downstream functionality of genetic variants for lung function decline.

methodsWe conducted genome-wide association study (GWAS) analyses of decline in FEV1, FVC, and FEV1/FVC in 52,056 White (N = 44,988), Black (N = 5,788), Hispanic (N = 550), and Chinese American (N = 730) participants across seven general population cohorts. GWAS analyses were stratified by cohort, ancestry, and sex. Results were combined in cross-ancestry and ancestry-specific meta-analyses. Significant variants available in two independent COPD-enriched cohorts were tested for replication.

resultsWe identified 361 distinct genome-wide significant (p < 5E-08) variants for one or more of the FEV1, FVC, and FEV1/FVC decline phenotypes, which overlapped with previously reported genetic signals for pulmonary traits. Four variants, or 10.3% of variants available for replication testing, were nominally associated (p < 0.05) with at least one decline phenotype in COPD-enriched cohorts. Gene-level analysis of GWAS results implicated 38 genes, many with consistent associations across ancestries or decline phenotypes. Annotation class analysis revealed enrichment of regulatory processes for corticosteroid biosynthesis and metabolism. Drug repurposing analysis identified 43 approved compounds targeting eight implicated genes.

conclusionsOur GWAS meta-analyses identified numerous genetic loci associated with lung function decline. These findings contribute knowledge to the genetic architecture of lung function decline, provide evidence for a role of corticosteroids in the etiology of lung function decline, and identify drug targets meriting further study for potential repurposing to slow lung function decline and mitigate lung disease.

Indexed as

Genome-Wide Association StudyLungPolymorphism, Single NucleotidePulmonary Disease, Chronic ObstructiveRacial GroupsAgedCohort StudiesFemaleForced Expiratory VolumeGenetic Predisposition to DiseaseHumansMaleMiddle AgedVital CapacityChronic obstructiveGenomicsLung volume measurementsPulmonary diseaseSpirometry

Identifiers

PMID41764487
PMCPMC12961773

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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.