Evidence map›Paper›PMID 26119467›Full record

ArticleAllergy2015

eQTL of bronchial epithelial cells and bronchial alveolar lavage deciphers GWAS-identified asthma genes.

X Li, A T Hastie, G A Hawkins, W C Moore, E J Ampleford, J Milosevic, H Li, W W Busse, S C Erzurum, N Kaminski and 3 more

Abstract read
In one paragraph

Article in Allergy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

64 citing papers in PubMed, 103 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026
    Review
  5. Article
  6. Genome-wide Association Study IdentifiesAllergy, asthma & immunology research · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Effect of air pollution on asthma.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2024
    Review
  14. IL-33 Expression Is Lower in Current Smokers at both Transcriptomic and Protein Levels.American journal of respiratory and critical care medicine · 2023
    Article
  15. Genetic analyses of chr11p15.5 region identifyThe Journal of asthma : official journal of the Association for the Care of Asthma · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Low CC16 mRNA Expression Levels in Bronchial Epithelial Cells Are Associated with Asthma Severity.American journal of respiratory and critical care medicine · 2023
    Article
  20. Review

4 more citing papers are in PubMed but not listed here.

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

13 authors at 5 institutions in 1 country.

X LiCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
A T HastieCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
G A HawkinsCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
W C MooreCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
E J AmplefordCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
J MilosevicDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
H LiCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
W W BusseDepartment of Medicine, University of Wisconsin, Madison, WI, USA.
S C ErzurumDepartment of Pathobiology, The Lerner Research Institute, Cleveland, OH, USA.
N KaminskiPulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, CT, USA.
S E WenzelDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
D A MeyersCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
E R BleeckerCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Wake Forest University · USUniversity of Pittsburgh · USCleveland Clinic Lerner College of Medicine · USUniversity of Wisconsin–Madison · USYale University · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Genome Wide Association for Asthma and Lung FunctionR01HL087665 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MEYERS, DEBORAH A. · 2007 to 2009
$7.7M
Longitudinal Phenomics and Genetics of Severe AsthmaU10HL109164 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BLEECKER, EUGENE ROLAND, MEYERS, DEBORAH A. · 2011 to 2016
$3.8M
Linking Genetics, Genomics and Phenomics to Better Understand Asthma SeverityRC2HL101487 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BLEECKER, EUGENE ROLAND, KAMINSKI, NAFTALI · 2009 to 2010
$3.5M
NCATS NIH HHS UL1 TR000005NHLBI NIH HHS HL87665NHLBI NIH HHS R01 HL087665NHLBI NIH HHS RC2 HL101487NHLBI NIH HHS RC2HL101487NHLBI NIH HHS U10 HL109164
6 · The paper itself

Abstract

backgroundGenome-wide association studies (GWASs) have identified various genes associated with asthma, yet, causal genes or single nucleotide polymorphisms (SNPs) remain elusive. We sought to dissect functional genes/SNPs for asthma by combining expression quantitative trait loci (eQTLs) and GWASs.

methodsCis-eQTL analyses of 34 asthma genes were performed in cells from human bronchial epithelial biopsy (BEC, n = 107) and from bronchial alveolar lavage (BAL, n = 94).

resultsFor TSLP-WDR36 region, rs3806932 (G allele protective against eosinophilic esophagitis) and rs2416257 (A allele associated with lower eosinophil counts and protective against asthma) were correlated with decreased expression of TSLP in BAL (P = 7.9 × 10(-11) and 5.4 × 10(-4) , respectively) and BEC, but not WDR36. Surprisingly, rs1837253 (consistently associated with asthma) showed no correlation with TSLP expression levels. For ORMDL3-GSDMB region, rs8067378 (G allele protective against asthma) was correlated with decreased expression of GSDMB in BEC and BAL (P = 1.3 × 10(-4) and 0.04) but not ORMDL3. rs992969 in the promoter region of IL33 (A allele associated with higher eosinophil counts and risk for asthma) was correlated with increased expression of IL33 in BEC (P = 1.3 × 10(-6) ) but not in BAL.

conclusionsOur study illustrates cell-type-specific regulation of the expression of asthma-related genes documenting SNPs in TSLP, GSDMB, IL33, HLA-DQB1, C11orf30, DEXI, CDHR3, and ZBTB10 affect asthma risk through cis-regulation of its gene expression. Whenever possible, disease-relevant tissues should be used for transcription analysis. SNPs in TSLP may affect asthma risk through up-regulating TSLP mRNA expression or protein secretion. Further functional studies are warranted.

Indexed as

Bronchoalveolar Lavage FluidGenetic Predisposition to DiseaseGenome-Wide Association StudyQuantitative Trait LociAllelesAsthmaCase-Control StudiesChromosome MappingEpithelial CellsFemaleGenetic Association StudiesHumansImmunoglobulin EMaleOrgan SpecificityPolymorphism, Single NucleotideImmunoglobulin Easthma susceptibility genesbronchial alveolar lavagebronchial epithelial cellseQTLGenome-wide association studies

Identifiers

PMID26119467
PMCPMC4583797
OpenAlexW1870393279

What OpenQuestion holds

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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.