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Genetic heterogeneity of asthma phenotypes identified by a clustering approach
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
ID 2384261
Author(s) Siroux, Valérie; González, Juan R.; Bouzigon, Emmanuelle; Curjuric, Ivan; Boudier, Anne; Imboden, Medea; Anto, Josep Maria; Gut, Ivo; Jarvis, Deborah; Lathrop, Mark; Omenaas, Ernst Reidar; Pin, Isabelle; Wjst, Mathias; Demenais, Florence; Probst-Hensch, Nicole; Kogevinas, Manolis; Kauffmann, Francine
Author(s) at UniBasel Curjuric, Ivan
Imboden, Medea
Probst Hensch, Nicole
Year 2014
Title Genetic heterogeneity of asthma phenotypes identified by a clustering approach
Journal The European respiratory journal
Volume 43
Number 2
Pages / Article-Number 439-52
Abstract The aim of the study was to identify genetic variants associated with refined asthma phenotypes enabling multiple features of the disease to be taken into account. Latent class analysis (LCA) was applied in 3001 adults ever having asthma recruited in the frame of three epidemiological surveys (the European Community Respiratory Health Survey (ECRHS), the Swiss Study on Air Pollution and Lung Disease in Adults (SAPALDIA) and the Epidemiological Study on the Genetics and Environment of Asthma (EGEA)). 14 personal and phenotypic characteristics, gathered from questionnaires and clinical examination, were used. A genome-wide association study was conducted for each LCA-derived asthma phenotype, compared to subjects without asthma (n=3474). The LCA identified four adult asthma phenotypes, mainly characterised by disease activity, age of asthma onset and atopic status. Associations of genome-wide significance (p>1.25×10(-7)) were observed between "active adult-onset nonallergic asthma" and rs9851461 flanking CD200 (3q13.2) and between "inactive/mild nonallergic asthma" and rs2579931 flanking GRIK2 (6q16.3). Borderline significant results (2.5×10(-7)
Publisher Munksgaard
ISSN/ISBN 0903-1936
Full Text on edoc No
Digital Object Identifier DOI 10.1183/09031936.00032713
PubMed ID
ISI-Number WOS:000330824500017
Document type (ISI) Journal Article

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