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Updated: Jul 19, 2026
05:53
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Pharmacogenomics of asthma
Andreas Pahl1, Ewald Benediktus, Ligia Chialda
1Department of Experimental and Clinical Pharmacology and Toxicology, University of Erlangen-Nürnberg, Fahrstr. 17, D-91054 Erlangen, Germany. pahl@pharmakologie.uni-erlangen.de
Current Pharmaceutical Design
|October 6, 2006
Summary
Asthma treatment varies greatly between individuals. Pharmacogenomics uses genetic information to tailor asthma drug therapy and dosage for better patient outcomes, with potential from gene studies and mouse models.
Area of Science:
- Pharmacogenomics
- Asthma research
- Genetics
Background:
- Patient response to asthma therapy is highly variable.
- Pharmacogenomics aims to personalize drug selection and dosage based on inherited differences.
- Understanding genetic influences is key to optimizing asthma treatment.
Purpose of the Study:
- To review gene polymorphisms affecting asthma therapy outcomes.
- To explore whole-genome expression studies in asthma pharmacogenomics.
- To discuss the role of mouse models in pharmacogenomic discovery for asthma.
Main Methods:
- Review of scientific literature on gene polymorphisms and asthma.
- Analysis of whole-genome expression studies using microarray technology.
- Evaluation of the utility of mouse models in asthma pharmacogenomics.
Main Results:
- Specific gene polymorphisms significantly influence patient response to asthma medications.
- Microarray-based whole-genome expression studies offer promising avenues for asthma pharmacogenomics.
- Mouse models provide a valuable experimental system for identifying genetic factors in asthma therapy.
Conclusions:
- Pharmacogenomics holds significant potential for improving asthma treatment efficacy.
- Personalized medicine approaches in asthma are supported by genetic research.
- Further research utilizing genetic insights and animal models can advance asthma pharmacogenomic strategies.
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