Clustering patterns of LOD scores for asthma-related phenotypes revealed by a genome-wide screen in 295 French EGEA families

A genome-wide scan for asthma phenotypes was conducted in the whole sample of 295 EGEA families selected through at least one asthmatic subject. In addition to asthma, seven phenotypes involved in the main asthma physiopathological pathways were considered: SPT (positive skin prick test response to...

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Published inHuman molecular genetics Vol. 13; no. 24; pp. 3103 - 3113
Main Authors Bouzigon, Emmanuelle, Dizier, Marie-Hélène, Krähenbühl, Christine, Lemainque, Arnaud, Annesi-Maesano, Isabella, Betard, Christine, Bousquet, Jean, Charpin, Denis, Gormand, Frédéric, Guilloud-Bataille, Michel, Just, Jocelyne, Moual, Nicole Le, Maccario, Jean, Matran, Régis, Neukirch, Françoise, Oryszczyn, Marie-Pierre, Paty, Evelyne, Pin, Isabelle, Rosenberg-Bourgin, Myriam, Vervloet, Daniel, Kauffmann, Francine, Lathrop, Mark, Demenais, Florence
Format Journal Article
LanguageEnglish
Published Oxford Oxford University Press 15.12.2004
Oxford Publishing Limited (England)
Oxford University Press (OUP)
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ISSN0964-6906
1460-2083
DOI10.1093/hmg/ddh340

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Summary:A genome-wide scan for asthma phenotypes was conducted in the whole sample of 295 EGEA families selected through at least one asthmatic subject. In addition to asthma, seven phenotypes involved in the main asthma physiopathological pathways were considered: SPT (positive skin prick test response to at least one of 11 allergens), SPTQ score being the number of positive skin test responses to 11 allergens, Phadiatop® (positive specific IgE response to a mixture of allergens), total IgE levels, eosinophils, bronchial responsiveness (BR) to methacholine challenge and %predicted FEV1. Four regions showed evidence for linkage (P≤0.001): 6q14 for %FEV1, 12p13 for IgE, 17q22–q24 for SPT and 21q21 for both SPTQ and %FEV1. Nine other regions indicated smaller linkage signals (0.001<P≤0.005). While most of these regions have been reported by previous asthma and lung function screens, 6q14 appears to be a new region potentially linked to %FEV1. To determine which of these various asthma phenotypes are more likely to share common genetic determinants, a principal component analysis was applied to the genome-wide LOD scores. This analysis revealed clustering of LODs for asthma, SPT and Phadiatop® on one axis and clustering of LODs for %FEV1, BR and SPTQ on the other, while LODs for IgE and eosinophils appeared to be independent from all other LODs. These results provide new insights into the potential sharing of genetic determinants by asthma-related phenotypes.
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To whom correspondence should be addressed at: INSERM EMI0006, Tour Evry 2, 523, Place des Terrasses de l'Agora, 91034 Evry Cedex France. Tel: +33 160873820; Fax: +33 160873848; Email: demenais@evry.inserm.fr
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ISSN:0964-6906
1460-2083
DOI:10.1093/hmg/ddh340