ReviewCurrent allergy and asthma reports2005
Pharmacogenetic approaches in the treatment of asthma.
Review in Current allergy and asthma reports, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Pharmacogenomics of Leukotriene Modifiers: A Systematic Review and Meta-Analysis.Journal of personalized medicine · 2022Article
- Oxidative Stress and Antioxidant Pathway in Allergic Rhinitis.Antioxidants (Basel, Switzerland) · 2021Review
- Oxidative stress and cellular pathways of asthma and inflammation: Therapeutic strategies and pharmacological targets.Pharmacology & therapeutics · 2018Review
- Physicians' pharmacogenomics information needs and seeking behavior: a study with case vignettes.BMC medical informatics and decision making · 2017Article
- Defining the inflammatory signature of human lung explant tissue in the presence and absence of glucocorticoid.F1000Research · 2017Article
- β-2 Adrenergic receptor gene polymorphism and response to propranolol in cirrhosis.World journal of gastroenterology · 2015Article
- Mapping asthma-associated variants in admixed populations.Frontiers in genetics · 2015Review
- GPCRs and arrestins in airways: implications for asthma.Handbook of experimental pharmacology · 2014Article
- Integrative systems biology approaches in asthma pharmacogenomics.Pharmacogenomics · 2012Review
- Current progress in pharmacogenetics.British journal of clinical pharmacology · 2011Review
- Treatment heterogeneity in asthma: genetics of response to leukotriene modifiers.Molecular diagnosis & therapy · 2007Review
- Clinical translation of genotyping and haplotyping data: implementation of in vivo pharmacology experience leading drug prescription to pharmacotyping.Clinical pharmacokinetics · 2007Review
- The role of novel genes in modifying airway responses in asthma.Current allergy and asthma reports · 2006Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A patient's response to asthma therapy is determined by both genetic and environmental factors. In the past 10 years, we have witnessed significant progress in the field of asthma pharmacogenetics--the study of how a patient's genetic background determines the efficacy and potential for adverse effects to current asthma medication. There are now clear examples of gene polymorphisms that can influence responses to beta(2)-agonists, glucocorticosteroids, and leukotriene modifier drugs, the three main classes of medication used clinically to treat asthma. Identification of genetic polymorphism that predicts drug responses has the potential to lead to the development of new therapeutics, improve asthma management, and reduce serious episodes and hospitalizations. In this review, we discuss the current understanding of asthma pharmacogenetics, focusing on the main three classes of drugs currently used clinically.
Indexed as
Identifiers
15683609What 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.