ArticleJournal of asthma and allergy2023
Interleukin-4 (C590T) Gene Polymorphism in Association with Asthma Severity.
Article in Journal of asthma and allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 2 citations in OpenAlex.
- Small airway dysfunction as a functional barrier to spirometry-defined clinical remission in severe asthma treated with biologic therapies.The World Allergy Organization journal · 2026Article
- Article
- IL5 rs2069812 and IL13 rs1800925 Genetic variants as key determinants of clinically relevant asthma phenotypes.PloS one · 2026Article
- Impact of Overweight and Obesity in Severe Asthma Patients and Its Influence on Achieving Clinical Remission.Journal of asthma and allergy · 2026Article
- Younger severe asthma patients with interleukin 4 (CC variant) and dupilumab treatment are more likely to achieve clinical remission.BMC pulmonary medicine · 2025Article
- Tumor Necrotic Factor-Alpha (-308A/G, rs1800629) and Interleukin-13 (R130Q, rs20541) Gene Polymorphisms as Predictors of Severe Asthma in Pilot Cohort of Kuwaiti Population: Influence of Age, Nasal Polyps, Fractional Exhaled Nitric Oxide, and Blood Eosinophil Count.Journal of asthma and allergy · 2025Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: A significant link between T allele of the Methods: The study included 215 asthmatic patients, of which 102 had mild asthma, and 126 participants were healthy controls. A previously published polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used to identify various Results: The T allele frequency was higher in mild asthma (p=0.002) but not in severe asthma (p=0.12) compared to controls. In mild asthma, the CT genotype and (CT+TT versus CC) increased the likelihood of asthma threefold (p<0.001, 0.001). However, no significant association with severe asthma was found in either genetic model. Stratification analysis showed that the C allele and CC genotype increased the risk of severe asthma (p=0.01). The recessive genetic model indicated a decrease in the risk of severe asthma (OR=0.5, p=0.01) in the non-adjusted regression analysis. Adjusting for age, sex, and other risk factors revealed that the Conclusion: The T allele and CT genotype in the co-dominant genetic model and the (CT+TT) genotype in the recessive model were found to have a higher likelihood of developing mild asthma but not severe asthma; severe asthma was found to be higher in elderly females with a history of childhood-onset disease and associated nasal polyps.
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Registered trials
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.