Literature DB >> 20159237

The role of pharmacogenomics in improving the management of asthma.

Shamsah Kazani1, Michael E Wechsler, Elliot Israel.   

Abstract

There is a large amount of interindividual variability in both therapeutic and adverse responses to asthma therapies. Genetic variability can account for 50% to 60% of this variability. Pharmacogenomics holds out the promise of allowing clinicians to prospectively choose therapies that have the greatest likelihood to be effective for individual patients and to avoid those that might have a high likelihood of producing adverse effects. In this article we review the principles of pharmacogenomic investigation. We explore the data developed from the early pharmacogenomic studies with the most common asthma therapies. Furthermore, we explore the potential use of pharmacogenomics, as well as caveats in interpreting such information. Copyright 2010 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.

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Year:  2010        PMID: 20159237      PMCID: PMC2824610          DOI: 10.1016/j.jaci.2009.12.014

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  54 in total

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  14 in total

1.  Pharmacogenetics of Asthma.

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Authors:  Wendy Gould; Edward L Peterson; Gloria Karungi; Amanda Zoratti; John Gaggin; Ghazwan Toma; Shiqing Yan; Albert M Levin; James J Yang; Karen Wells; Mingqun Wang; Robert R Burke; Kenneth Beckman; Danijela Popadic; Susan J Land; Rajesh Kumar; Max A Seibold; David E Lanfear; Esteban G Burchard; L Keoki Williams
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Review 3.  Advancing asthma care: the glass is only half full!

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7.  The Variants in the 3' Untranslated Region of the Matrix Metalloproteinase 9 Gene as Modulators of Treatment Outcome in Children with Asthma.

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8.  Immunological and genetic aspects of asthma and allergy.

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Review 9.  Beta-Adrenergic Agonists.

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10.  Cellular mechanism underlying formaldehyde-stimulated Cl- secretion in rat airway epithelium.

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Journal:  PLoS One       Date:  2013-01-23       Impact factor: 3.240

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