| Title: | Genetic relationships between high blood eosinophil count, asthma susceptibility, and asthma severity |
| Journal: | Journal of Asthma |
| Published: | 22 Aug 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37560908/ |
| DOI: | https://doi.org/10.1080/02770903.2023.2247490 |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 9721
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Abstract
OBJECTIVE: Genetic relationships between blood eosinophil count (BEC), asthma susceptibility, and severity are unclear. We sought to identify the genetic difference between type 2 (T2) and nontype 2 (non-T2) asthma (defined by BEC) and investigate genetic relationships between high BEC, asthma susceptibility, and severity.</p>
METHODS: Genome-wide association studies (GWASs) were performed for T2 (n = 9,064; BEC ≥ 300 cells/μL) versus non-T2 asthma (n = 14,379; BEC < 150 cells/μL) and asthma susceptibility (37,227 asthmatics vs. 124,132 nonasthma controls) in the UK Biobank and asthma severity (moderate-to-severe asthma [n = 2,153] vs. mild asthma [n = 5165]) in the All of Us Research Program (AoURP). Genetic causality between BEC, asthma susceptibility, and severity were dissected using Mendelian randomization (MR).</p>
RESULTS: High BEC was associated with asthma and decreased pulmonary function. GWASs revealed four sets of genetic variants (p < 5 × 10-8): genes associated with only BEC or asthma and genes associated with high BEC and asthma in the same or opposite direction. The C allele of rs653178 in ATXN2 was associated with high BEC, risk for autoimmune diseases, and protection for asthma. Genetic variants associated with BEC or asthma were not associated with asthma severity. MR indicated high BEC and asthma were in bidirectional causal relationship (p < .001); however, they were not causal for asthma severity.</p>
CONCLUSIONS: Genetic variants associated with asthma or BEC and asthma severity are distinctive. High BEC is a risk factor for asthma; however, it is neither necessary nor sufficient for asthma susceptibility and severity.</p>
2 Authors
- Huashi Li
- Xingnan Li
1 Application
| Application ID | Title |
|---|---|
| 66320 | Genome-wide association and pleiotropy studies of subphenotypes of respiratory diseases |
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