Trial reportPediatric pulmonology2019
Longitudinal analysis of bronchodilator response in asthmatics and effect modification of age-related trends by genotype.
Trial report in Pediatric pulmonology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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.
Who cites it
9 citing papers in PubMed.
- Drivers of Bronchodilator Use in Bronchiolitis: Analyzing Treatment Trends From Pediatric Emergency Department Practices.Pediatric emergency care · 2025Article
- Pharmacogenetics of Bronchodilator Response: Future Directions.Current allergy and asthma reports · 2021Review
- Pharmaco-Metabolomics of Inhaled Corticosteroid Response in Individuals with Asthma.Journal of personalized medicine · 2021Article
- Genetic Determinants of Poor Response to Treatment in Severe Asthma.International journal of molecular sciences · 2021Review
- The Role of SNP Interactions when Determining Independence of Novel Signals in Genetic Association Studies-An Application toJournal of personalized medicine · 2021Article
- Recent findings in the genetics and epigenetics of asthma and allergy.Seminars in immunopathology · 2020Review
- Pharmacogenetics of Pediatric Asthma: Current Perspectives.Pharmacogenomics and personalized medicine · 2020Review
- Plasmalogens Mediate the Effect of Age on Bronchodilator Response in Individuals With Asthma.Frontiers in medicine · 2020Article
- Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions.Metabolites · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
BACKGROUND AND
objectivesGenome Wide Association Studies (GWAS) have identified genetic polymorphisms associated with bronchodilator response (BDR), but it is unknown how these associations change across life stages. We examined the impact of genetic variants on BDR from childhood to adulthood in asthmatics to uncover potential effect modification by age.
methodsWe searched the National Human Genome Research Institute (NHGRI) catalog of published GWAS to obtain a list of genetic associations with BDR, and tested them for effect modification by age in 604 subjects from the Childhood Asthma Management Program (CAMP), a clinical trial with longitudinal measures of BDR (age range 5-30 years). We performed longitudinal analyses using linear mixed models and visualized longitudinal changes in BDR using generalized additive models with repeated measures, adjusting for treatment group, sex, and main effects of age and additive genotype.
resultsIncreasing age was associated with decreased BDR (-0.24% per year). Polymorphisms rs295137 (T allele) near SPATS2L and rs2626393 (C allele) near ASB3 demonstrated their strongest associations with BDR in early childhood through adolescence, with a large decrease in their magnitude of effect from adolescence onward. The effect estimate for % BDR associated with rs295137 genotype (Beta = 1.3; 95%CI 0.6-2.1) was diminished by age (interaction term = -0.06, P = 0.004). The effect estimate for rs2626393 (Beta = -0.92 (95%CI -1.7 to -0.2) was also modified by age (interaction term = 0.05, P = 0.0004).
conclusionsPolymorphisms associated with BDR in childhood may not be relevant for predicting adolescent and adult BDR, which could reflect age-related changes in asthma phenotypes.
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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.