The Journal of Allergy and Clinical Immunology
Volume 126, Issue 2 , Pages 200-209, August 2010

Using genetics to predict the natural history of asthma?

  • John W. Holloway, PhD

      Affiliations

    • Division of Infection, Inflammation & Immunity, School of Medicine, University of Southampton, Southampton, United Kingdom
    • Division of Human Genetics, School of Medicine, University of Southampton, Southampton, United Kingdom
    • Corresponding Author InformationReprint requests: John W. Holloway, PhD, III Division, MP810, Southampton General Hospital, Southampton SO16 6YD, United Kingdom.
  • ,
  • Syed H. Arshad, MD, FRCP

      Affiliations

    • Division of Infection, Inflammation & Immunity, School of Medicine, University of Southampton, Southampton, United Kingdom
    • David Hide Asthma and Allergy Research Centre, Isle of Wight, United Kingdom
  • ,
  • Stephen T. Holgate, MD, DSc, FMed Sci

      Affiliations

    • Division of Infection, Inflammation & Immunity, School of Medicine, University of Southampton, Southampton, United Kingdom

Received 7 May 2010; received in revised form 3 June 2010; accepted 8 June 2010.

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.

Key words: Asthma, genetic, prediction, natural history

Abbreviations used: ADAM-33, A disintegrin and metalloproteinase domain, AUC, Area under the receiver operating characteristic curve, BHR, Bronchial hyperresponsiveness, CAMP, Childhood Asthma Management Program, COPD, Chronic obstructive pulmonary disease, GWAS, Genome-wide association study, STAT-6, Signal transducer and activator of transcription 6

 

 Series editors: Joshua A. Boyce, MD, Fred Finkelman, MD, William T. Shearer, MD, PhD, and Donata Vercelli, MD

 Terms in boldface and italics are defined in the glossary on page 201.

PII: S0091-6749(10)00904-8

doi:10.1016/j.jaci.2010.06.006

The Journal of Allergy and Clinical Immunology
Volume 126, Issue 2 , Pages 200-209, August 2010