Trial reportAmerican journal of respiratory and critical care medicine2012
Genome-wide association identifies the T gene as a novel asthma pharmacogenetic locus.
Trial report in American journal of respiratory and critical care medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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.
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
39 citing papers in PubMed, 94 citations in OpenAlex.
- Genome-wide association study of inhaled corticosteroid response in admixed children with asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2019Trial
- Genetic variation in CRHR1 is associated with short-term respiratory response to corticosteroids in preterm infants at risk for bronchopulmonary dysplasia.Pediatric research · 2019Trial
- Differential connectivity of gene regulatory networks distinguishes corticosteroid response in asthma.The Journal of allergy and clinical immunology · 2018Trial
- Genome-wide association study of leukotriene modifier response in asthma.The pharmacogenomics journal · 2016Trial
- Enhancing Asthma Pharmacogenetics Through Subtype-Specific Associations.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2025Article
- Article
- Machine Learning Prediction of Treatment Response to Inhaled Corticosteroids in Asthma.Journal of personalized medicine · 2024Article
- Responsiveness of Inhaled Corticosteroid Treatment in Children with Asthma: The Role of rs242941 Polymorphism of CRHR1 Gene.Pulmonary therapy · 2023Article
- Heterogeneity of Treatment Response to Asthma.Advances in experimental medicine and biology · 2023Article
- Review
- Multiomics analysis identifies BIRC3 as a novel glucocorticoid response-associated gene.The Journal of allergy and clinical immunology · 2022Article
- Pharmacogenetic studies of long-acting beta agonist and inhaled corticosteroid responsiveness in randomised controlled trials of individuals of African descent with asthma.The Lancet. Child & adolescent health · 2021Article
- Identification ofJournal of personalized medicine · 2021Article
- Genome-wide association study of asthma exacerbations despite inhaled corticosteroid use.The European respiratory journal · 2021Article
- Advances in asthma and allergic disease genetics: Is bigger always better?The Journal of allergy and clinical immunology · 2019Review
- Integrative approach identifies corticosteroid response variant in diverse populations with asthma.The Journal of allergy and clinical immunology · 2019Article
- How does race and ethnicity effect the precision treatment of asthma?Expert review of precision medicine and drug development · 2019Article
- Pharmacogenetic Factors Affecting Asthma Treatment Response. Potential Implications for Drug Therapy.Frontiers in pharmacology · 2019Review
- Genetic associations of the response to inhaled corticosteroids in asthma: a systematic review.Clinical and translational allergy · 2019Review
- Effects of genetic factors to inhaled corticosteroid response in children with asthma: a literature review.The Journal of international medical research · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 8 institutions in 1 country.
Funding
Abstract
rationaleTo date, most studies aimed at discovering genetic factors influencing treatment response in asthma have focused on biologic candidate genes. Genome-wide association studies (GWAS) can rapidly identify novel pharmacogenetic loci.
objectivesTo investigate if GWAS can identify novel pharmacogenetic loci in asthma.
methodsUsing phenotypic and GWAS genotype data available through the NHLBI-funded Single-nucleotide polymorphism Health association-Asthma Resource Project, we analyzed differences in FEV(1) in response to inhaled corticosteroids in 418 white subjects with asthma. Of the 444,088 single nucleotide polymorphisms (SNPs) analyzed, the lowest 50 SNPs by P value were genotyped in an independent clinical trial population of 407 subjects with asthma. MEASUREMENTS AND MAIN
resultsThe lowest P value for the GWAS analysis was 2.09 × 10(-6). Of the 47 SNPs successfully genotyped in the replication population, three were associated under the same genetic model in the same direction, including two of the top four SNPs ranked by P value. Combined P values for these SNPs were 1.06 × 10(-5) for rs3127412 and 6.13 × 10(-6) for rs6456042. Although these two were not located within a gene, they were tightly correlated with three variants mapping to potentially functional regions within the T gene. After genotyping, each T gene variant was also associated with lung function response to inhaled corticosteroids in each of the trials associated with rs3127412 and rs6456042 in the initial GWAS analysis. On average, there was a twofold to threefold difference in FEV(1) response for those subjects homozygous for the wild-type versus mutant alleles for each T gene SNP.
conclusionsGenome-wide association has identified the T gene as a novel pharmacogenetic locus for inhaled corticosteroid response in asthma.
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What OpenQuestion holds
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.