The effect of genetic variation on atopy and asthma from age eight to twenty-five years

Research output: ThesisDoctoral Thesis

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Abstract

[Truncated] Asthma is a complex, multigenic disease that is influenced by environmental factors. Over the past decades, numerous studies have investigated the etiology of asthma, however many questions remain unanswered, particularly in the field of the genetic epidemiology of asthma. Different genes and polymorphisms have been linked to, and associated with, the asthma phenotype, however few studies have analyzed longitudinal cohorts or considered age-specific effects of genotype on disease.

This thesis examines the relationship between seven polymorphisms and the asthmaphenotype, with particular focus on age-specific relationships. A large population of children assessed on up to eight occasions over a seventeen-year period provided extensive, precise, longitudinal data for analyses. Phenotypes examined included diagnosed asthma, atopy, airway responsiveness, clinical disease and eosinophilia. Strict criteria were established to categorize individuals into one of four longitudinal disease groups: early onset persistent, early onset remittent, late onset and never disease. Age effects were examined in two ways: longitudinal analysis of individuals who were assessed on each occasion and repeated cross-sectional analyses that allowed age to be assessed by considering the pattern of changes between cross-sectional analyses. Polymorphisms studied were CD14 C-159T, IL10 C-571A, TNFα G-308A, Beta2adrenoceptor (β2ADR) Argl6Gly and Gln27Glu, CC16 A38G and MCCA-1903G.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
DOIs
Publication statusUnpublished - 2002

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  • This thesis has been made available in the UWA Profiles and Research Repository as part of a UWA Library project to digitise and make available theses completed before 2003. If you are the author of this thesis and would like it removed from the UWA Profiles and Research Repository, please contact digitaltheses-lib@uwa.edu.au

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