| Title: | Shared genetic architecture of blood eosinophil counts and asthma in UK Biobank |
| Journal: | ERJ Open Research |
| Published: | 29 Jun 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37650091/ |
| DOI: | https://doi.org/10.1183/23120541.00291-2023 |
| URL: | https://openres.ersjournals.com/content/erjor/early/2023/06/08/23120541.00291-2023.full.pdf |
Publication 10916
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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.</p>
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.</p>
Results: GWAS of doctor-diagnosed asthma and blood eosinophil counts in the UK Biobank identified 585 and 3429 significant variants, respectively. STAT6, a transcription factor involved in interleukin-4 signalling, was a key shared pathway between asthma and blood eosinophil counts. Genetic correlation analysis demonstrated a positive correlation between doctor-diagnosed asthma and blood eosinophil counts (r=0.38±0.10, correlation±se; p=4.7×10-11). As a validation of this association, we found a similar correlation between TAGC and blood eosinophil counts in the UK Biobank (0.37±0.08, correlation±se; p=1.2×10-6).</p>
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 STAT6 signalling pathway in these two traits.</p>
8 Authors
- Boyang Li
- Yuxuan Wang
- Zixiao Wang
- Xinyue Li
- Shannon Kay
- Geoffrey L. Chupp
- Hongyu Zhao
- Jose L. Gomez
1 Application
| Application ID | Title |
|---|---|
| 29900 | Defining physical activity phenotypes based on objective measures and dissecting the genetic and phenotypic relationships of physical activity with diseases and health outcomes |
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