Literature DB >> 20688205

Using genetics to predict the natural history of asthma?

John W Holloway1, Syed H Arshad, Stephen T Holgate.   

Abstract

Clinical practice reminds us that there is considerable variability in the course of asthma over time. Treatment of patients with asthma would be considerably improved if one could accurately predict the likely course of disease over the life course. Recently, with the advent of the era of genome-wide association studies, there has been a monumental shift in our understanding of the genetic factors that underlie inherited susceptibility to asthma. Genes have been identified that modulate many aspects of the natural history of asthma, such as susceptibility to atopy, altered lung development, and susceptibility to more severe disease. Heritability studies have even suggested a role for genetic factors in remission of asthma. However, although the discovery of novel genetic factors underlying disease susceptibility has undoubtedly improved our understanding of disease pathogenesis, whether these advances have improved the ability to predict the natural history in individual patients is questionable, and the application of genetic testing to clinical practice remains some way off. Copyright 2010 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20688205     DOI: 10.1016/j.jaci.2010.06.006

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


  16 in total

Review 1.  Relevance of birth cohorts to assessment of asthma persistence.

Authors:  Robert J Hancox; Padmaja Subbarao; Malcolm R Sears
Journal:  Curr Allergy Asthma Rep       Date:  2012-06       Impact factor: 4.806

Review 2.  Is it time to revise the asthma guidelines?

Authors:  Stanley J Szefler
Journal:  J Allergy Clin Immunol       Date:  2011-09-23       Impact factor: 10.793

3.  Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: genome-wide and transcriptome-wide studies.

Authors:  Milton Pividori; Nathan Schoettler; Dan L Nicolae; Carole Ober; Hae Kyung Im
Journal:  Lancet Respir Med       Date:  2019-04-27       Impact factor: 30.700

Review 4.  Advancing asthma care: the glass is only half full!

Authors:  Stanley J Szefler
Journal:  J Allergy Clin Immunol       Date:  2011-07-27       Impact factor: 10.793

Review 5.  Advances in pediatric asthma in 2010: addressing the major issues.

Authors:  Stanley J Szefler
Journal:  J Allergy Clin Immunol       Date:  2011-01       Impact factor: 10.793

Review 6.  Integrative systems biology approaches in asthma pharmacogenomics.

Authors:  Amber Dahlin; Kelan G Tantisira
Journal:  Pharmacogenomics       Date:  2012-09       Impact factor: 2.533

Review 7.  The potential to predict the course of childhood asthma.

Authors:  Daniel W Belsky; Malcolm R Sears
Journal:  Expert Rev Respir Med       Date:  2014-01-22       Impact factor: 3.772

8.  Validation of novel wheeze phenotypes using longitudinal airway function and atopic sensitization data in the first 6 years of life: evidence from the Southampton Women's survey.

Authors:  Samuel A Collins; Katharine C Pike; Hazel M Inskip; Keith M Godfrey; Graham Roberts; John W Holloway; Jane S A Lucas
Journal:  Pediatr Pulmonol       Date:  2013-02-08

Review 9.  Genetics of asthma: an introduction for the clinician.

Authors:  Simon F Thomsen
Journal:  Eur Clin Respir J       Date:  2015-01-16

10.  The interplay of DNA methylation over time with Th2 pathway genetic variants on asthma risk and temporal asthma transition.

Authors:  Hongmei Zhang; Xin Tong; John W Holloway; Faisal I Rezwan; Gabrielle A Lockett; Veeresh Patil; Meredith Ray; Todd M Everson; Nelís Soto-Ramírez; S Hasan Arshad; Susan Ewart; Wilfried Karmaus
Journal:  Clin Epigenetics       Date:  2014-04-15       Impact factor: 6.551

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