Factor analysis in the Genetics of Asthma International Network family study identifies five major quantitative asthma phenotypes

S. G. Pillai, Y. Tang, E. van den Oord, M. Klotsman, K. Barnes, K. Carlsen, J. Gerritsen, W. Lenney, M. Silverman, P. Sly, J. Sundy, J. Tsanakas, A. von Berg, M. Whyte, H. G. Ortega, W. H. Anderson, Peter Joseph Benedict Helms

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Background Asthma is a clinically heterogeneous disease caused by a complex interaction between genetic susceptibility and diverse environmental factors. In common with other complex diseases the lack of a standardized scheme to evaluate the phenotypic variability poses challenges in identifying the contribution of genes and environments to disease expression.

Objective To determine the minimum number of sets of features required to characterize subjects with asthma which will be useful in identifying important genetic and environmental contributors.

Methods Probands aged 7-35 years with physician diagnosed asthma and symptomatic siblings were identified in 1022 nuclear families from 11 centres in six countries forming the Genetics of Asthma International Network. Factor analysis was used to identify distinct phenotypes from questionnaire, clinical, and laboratory data, including baseline pulmonary function, allergen skin prick test (SPT).

Results Five distinct factors were identified:(1) baseline pulmonary function measures [forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC)], (2) specific allergen sensitization by SPT, (3) self-reported allergies, (4) symptoms characteristic of rhinitis and (5) symptoms characteristic of asthma. Replication in symptomatic siblings was consistent with shared genetic and/or environmental effects, and was robust across age groups, gender, and centres. Cronbach's alpha ranged from 0.719 to 0.983 suggesting acceptable internal scale consistencies. Derived scales were correlated with serum IgE, methacholine PC20, age and asthma severity (interrupted sleep). IgE correlated with all three atopy-related factors, the strongest with the SPT factor whereas severity only correlated with baseline lung function, and with symptoms characteristic of rhinitis and of asthma.

Conclusion In children and adolescents with established asthma, five distinct sets of correlated patient characteristics appear to represent important aspects of the disease. Factor scores as quantitative traits may be better phenotypes in epidemiological and genetic analyses than those categories derived from the presence or absence of combinations of +ve SPTs and/or elevated IgE.

Original languageEnglish
Pages (from-to)421-429
Number of pages9
JournalClinical & experimental allergy
Volume38
Issue number3
Early online date3 Jan 2008
DOIs
Publication statusPublished - Mar 2008

Keywords

  • atopy
  • FEV1
  • IgE
  • PC20
  • rhinitis
  • respiratory health survey
  • quality-of-life
  • lung-function
  • bronchial hyperresponsiveness
  • airway hyperresponsiveness
  • metabolic syndrome
  • questionnaire
  • symptoms
  • children

Cite this

Factor analysis in the Genetics of Asthma International Network family study identifies five major quantitative asthma phenotypes. / Pillai, S. G.; Tang, Y.; van den Oord, E.; Klotsman, M.; Barnes, K.; Carlsen, K.; Gerritsen, J.; Lenney, W.; Silverman, M.; Sly, P.; Sundy, J.; Tsanakas, J.; Berg, A. von; Whyte, M.; Ortega, H. G.; Anderson, W. H.; Helms, Peter Joseph Benedict.

In: Clinical & experimental allergy, Vol. 38, No. 3, 03.2008, p. 421-429.

Research output: Contribution to journalArticle

Pillai, SG, Tang, Y, van den Oord, E, Klotsman, M, Barnes, K, Carlsen, K, Gerritsen, J, Lenney, W, Silverman, M, Sly, P, Sundy, J, Tsanakas, J, Berg, AV, Whyte, M, Ortega, HG, Anderson, WH & Helms, PJB 2008, 'Factor analysis in the Genetics of Asthma International Network family study identifies five major quantitative asthma phenotypes', Clinical & experimental allergy, vol. 38, no. 3, pp. 421-429. https://doi.org/10.1111/j.1365-2222.2007.02918.x
Pillai, S. G. ; Tang, Y. ; van den Oord, E. ; Klotsman, M. ; Barnes, K. ; Carlsen, K. ; Gerritsen, J. ; Lenney, W. ; Silverman, M. ; Sly, P. ; Sundy, J. ; Tsanakas, J. ; Berg, A. von ; Whyte, M. ; Ortega, H. G. ; Anderson, W. H. ; Helms, Peter Joseph Benedict. / Factor analysis in the Genetics of Asthma International Network family study identifies five major quantitative asthma phenotypes. In: Clinical & experimental allergy. 2008 ; Vol. 38, No. 3. pp. 421-429.
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AU - Pillai, S. G.

AU - Tang, Y.

AU - van den Oord, E.

AU - Klotsman, M.

AU - Barnes, K.

AU - Carlsen, K.

AU - Gerritsen, J.

AU - Lenney, W.

AU - Silverman, M.

AU - Sly, P.

AU - Sundy, J.

AU - Tsanakas, J.

AU - Berg, A. von

AU - Whyte, M.

AU - Ortega, H. G.

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N2 - Background Asthma is a clinically heterogeneous disease caused by a complex interaction between genetic susceptibility and diverse environmental factors. In common with other complex diseases the lack of a standardized scheme to evaluate the phenotypic variability poses challenges in identifying the contribution of genes and environments to disease expression.Objective To determine the minimum number of sets of features required to characterize subjects with asthma which will be useful in identifying important genetic and environmental contributors.Methods Probands aged 7-35 years with physician diagnosed asthma and symptomatic siblings were identified in 1022 nuclear families from 11 centres in six countries forming the Genetics of Asthma International Network. Factor analysis was used to identify distinct phenotypes from questionnaire, clinical, and laboratory data, including baseline pulmonary function, allergen skin prick test (SPT).Results Five distinct factors were identified:(1) baseline pulmonary function measures [forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC)], (2) specific allergen sensitization by SPT, (3) self-reported allergies, (4) symptoms characteristic of rhinitis and (5) symptoms characteristic of asthma. Replication in symptomatic siblings was consistent with shared genetic and/or environmental effects, and was robust across age groups, gender, and centres. Cronbach's alpha ranged from 0.719 to 0.983 suggesting acceptable internal scale consistencies. Derived scales were correlated with serum IgE, methacholine PC20, age and asthma severity (interrupted sleep). IgE correlated with all three atopy-related factors, the strongest with the SPT factor whereas severity only correlated with baseline lung function, and with symptoms characteristic of rhinitis and of asthma.Conclusion In children and adolescents with established asthma, five distinct sets of correlated patient characteristics appear to represent important aspects of the disease. Factor scores as quantitative traits may be better phenotypes in epidemiological and genetic analyses than those categories derived from the presence or absence of combinations of +ve SPTs and/or elevated IgE.

AB - Background Asthma is a clinically heterogeneous disease caused by a complex interaction between genetic susceptibility and diverse environmental factors. In common with other complex diseases the lack of a standardized scheme to evaluate the phenotypic variability poses challenges in identifying the contribution of genes and environments to disease expression.Objective To determine the minimum number of sets of features required to characterize subjects with asthma which will be useful in identifying important genetic and environmental contributors.Methods Probands aged 7-35 years with physician diagnosed asthma and symptomatic siblings were identified in 1022 nuclear families from 11 centres in six countries forming the Genetics of Asthma International Network. Factor analysis was used to identify distinct phenotypes from questionnaire, clinical, and laboratory data, including baseline pulmonary function, allergen skin prick test (SPT).Results Five distinct factors were identified:(1) baseline pulmonary function measures [forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC)], (2) specific allergen sensitization by SPT, (3) self-reported allergies, (4) symptoms characteristic of rhinitis and (5) symptoms characteristic of asthma. Replication in symptomatic siblings was consistent with shared genetic and/or environmental effects, and was robust across age groups, gender, and centres. Cronbach's alpha ranged from 0.719 to 0.983 suggesting acceptable internal scale consistencies. Derived scales were correlated with serum IgE, methacholine PC20, age and asthma severity (interrupted sleep). IgE correlated with all three atopy-related factors, the strongest with the SPT factor whereas severity only correlated with baseline lung function, and with symptoms characteristic of rhinitis and of asthma.Conclusion In children and adolescents with established asthma, five distinct sets of correlated patient characteristics appear to represent important aspects of the disease. Factor scores as quantitative traits may be better phenotypes in epidemiological and genetic analyses than those categories derived from the presence or absence of combinations of +ve SPTs and/or elevated IgE.

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KW - PC20

KW - rhinitis

KW - respiratory health survey

KW - quality-of-life

KW - lung-function

KW - bronchial hyperresponsiveness

KW - airway hyperresponsiveness

KW - metabolic syndrome

KW - questionnaire

KW - symptoms

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JO - Clinical & experimental allergy

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