Multivariate genetic analysis of atopy phenotypes in a selected sample of twins

Summary Background Atopic traits often co‐occur and this can potentially be caused by common aetiological relationships between traits, i.e. a common genetic or a common environmental background. Objective To estimate to what extent the same genetic and environmental factors influence wheeze, rhinit...

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Published in:Clinical and experimental allergy Vol. 36; no. 11; pp. 1382 - 1390
Main Authors: Thomsen, S. F., Ulrik, C. S., Kyvik, K. O., Ferreira, M. A. R., Backer, V.
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01-11-2006
Blackwell
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Summary:Summary Background Atopic traits often co‐occur and this can potentially be caused by common aetiological relationships between traits, i.e. a common genetic or a common environmental background. Objective To estimate to what extent the same genetic and environmental factors influence wheeze, rhinitis, airway hyper‐responsiveness (AHR), and positive skin prick test (posSPT) in a sample of adult twins. Methods Within a sampling frame of 21 162 twin subjects, 20–49 years of age, from the Danish Twin Registry, a total of 575 subjects (256 intact pairs and 63 single twins), who either themselves and/or their co‐twins reported a history of asthma at a nationwide questionnaire survey, were clinically examined. Symptoms of wheeze and rhinitis were obtained by interview; airway responsiveness and skin test reactivity were measured using standard techniques. Correlations in liability between the different traits were estimated and latent factor models of genetic and environmental effects were fitted to the observed data using maximum likelihood methods. Results The various phenotypic correlations between wheeze, rhinitis, AHR and posSPT were all significant and ranged between 0.50 and 0.86. Traits that showed highest genetic correlations were wheeze–rhinitis (ρA=0.95), wheeze–AHR (ρA=0.85) and rhinitis–posSPT (ρA=0.92), whereas lower genetic correlations were observed for rhinitis–AHR (ρA=0.43) and AHR–posSPT (ρA=0.59). Traits with a high degree of environmental sharing were rhinitis–posSPT (ρE=0.92) and wheeze–posSPT (ρE=0.71), whereas a lower environmental correlation was seen for wheeze–rhinitis (ρE=0.25). The estimates were corrected for ascertainment and adjusted for age, sex, inhaled corticosteroids and smoking. Conclusions Different atopic conditions share, to a large extent, a common genetic background. In particular, upper and lower respiratory symptoms seem to be different phenotypic expressions of a common set of genes. These results add new insight into the origins of clinical heterogeneity within atopy and should stimulate the search for pleiotropic genes of importance for these conditions.
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ArticleID:CEA2512
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ISSN:0954-7894
1365-2222
DOI:10.1111/j.1365-2222.2006.02512.x