Evidence map›Paper›PMID 37650091›Full record

ArticleERJ open research2023

Shared genetic architecture of blood eosinophil counts and asthma in UK Biobank.

Boyang Li, Yuxuan Wang, Zixiao Wang, Xinyue Li, Shannon Kay, Geoffrey L Chupp, Hongyu Zhao, Jose L Gomez

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Sex-biased Gene Expression Underlies Immune Dysfunction in Asthma.American journal of respiratory cell and molecular biology · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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 at 3 institutions in 2 countries.

Boyang LiDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Yuxuan WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.ORCID https://orcid.org/0000-0001-9117-0619
Zixiao WangDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Xinyue LiSchool of Data Science, City University of Hong Kong, Hong Kong SAR, China.
Shannon KayPulmonary, Critical Care and Sleep Medicine Section, Yale University, New Haven, CT, USA.
Geoffrey L ChuppPulmonary, Critical Care and Sleep Medicine Section, Yale University, New Haven, CT, USA.
Hongyu ZhaoDepartment of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Jose L GomezPulmonary, Critical Care and Sleep Medicine Section, Yale University, New Haven, CT, USA.ORCID https://orcid.org/0000-0002-6521-6318
Yale University · USBoston University · USCity University of Hong Kong · HK

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Systems Biology of a MicroRNA Network in Neutrophilic AsthmaR01HL153604 · NHLBI · YALE UNIVERSITY · PI GOMEZ-VILLALOBOS, JOSE LUIS · 2020 to 2024
$3.4M
Longitudinal Analysis of Transcriptomic Endophenotypes in AsthmaR01HL118346 · NHLBI · YALE UNIVERSITY · PI CHUPP, GEOFFREY L · 2013 to 2016
$3.3M
Novel statistical methods and tools to integrate multiple endophenotypes and functional annotation data to study the roles of rare variants in complex human diseases using sequencing dataR01GM134005 · NIGMS · YALE UNIVERSITY · PI WU, BAOLIN, ZHAO, HONGYU · 2020 to 2023
$1.6M
Regulation of Neutrophilic Airway Inflammation by miR-223-3pR03HL154275 · NHLBI · YALE UNIVERSITY · PI GOMEZ-VILLALOBOS, JOSE LUIS · 2020 to 2021
$168k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL118346NHLBI NIH HHS R01 HL153604NHLBI NIH HHS R03 HL154275NIGMS NIH HHS R01 GM134005
6 · The paper itself

Abstract

Rationale: Asthma is a complex, heterogeneous disease strongly associated with type 2 inflammation, and blood eosinophil counts guide therapeutic interventions in moderate and severe asthma. Eosinophils are leukocytes involved in type 2 immune responses. Despite these critical associations between asthma and blood eosinophil counts, the shared genetic architecture of these two traits remains unknown. The objective of the present study was to characterise the genetic architecture of blood eosinophil counts and asthma in the UK Biobank. Methods: We performed genome-wide association studies (GWAS) of doctor-diagnosed asthma, blood eosinophil, neutrophil, lymphocyte and monocyte counts in the UK Biobank. Genetic correlation analysis was performed on GWAS results and validated in the Trans-National Asthma Genetic Consortium (TAGC) study of asthma. Results: GWAS of doctor-diagnosed asthma and blood eosinophil counts in the UK Biobank identified 585 and 3429 significant variants, respectively. Conclusions: These findings define the shared genetic architecture between blood eosinophil counts and asthma risk in subjects of European ancestry and point to a genetic link to the

Identifiers

PMID37650091
PMCPMC10463033
OpenAlexW4382725535

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.