Meta-analysis of 20 genome-wide linkage studies evidenced new regions linked to asthma and atopy

Emmanuelle Bouzigon, Paola Forabosco, Gerard H. Koppelman, William O.C.M. Cookson, Marie Hélène Dizier, David L. Duffy, David M. Evans, Manuel A.R. Ferreira, Juha Kere, Tarja Laitinen, Giovanni Malerba, Deborah A. Meyers, Miriam Moffatt, Nicholas G. Martin, Mandy Y. Ng, Pier Franco Pignatti, Mathias Wjst, Francine Kauffmann, Florence Demenais, Cathryn M. Lewis

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

Asthma is caused by a heterogeneous combination of environmental and genetic factors. In the context of GA2LEN (Global Allergy and Asthma European Network), we carried out meta-analyses of almost all genome-wide linkage screens conducted to date in 20 independent populations from different ethnic origins (≥3024 families with ≥10 027 subjects) for asthma, atopic asthma, bronchial hyper-responsiveness and five atopy-related traits (total immunoglobulin E level, positive skin test response (SPT) to at least one allergen or to House Dust Mite, quantitative score of SPT (SPTQ) and eosinophils (EOS)). We used the genome scan meta-analysis method to assess evidence for linkage within bins of traditionally 30-cM width, and explored the manner in which these results were affected by bin definition. Meta-analyses were conducted in all studies and repeated in families of European ancestry. Genome-wide evidence for linkage was detected for asthma in two regions (2p21-p14 and 6p21) in European families ascertained through two asthmatic sibs. With regard to atopy phenotypes, four regions reached genome-wide significance: 3p25.3-q24 in all families for SPT and three other regions in European families (2q32-q34 for EOS, 5q23-q33 for SPTQ and 17q12-q24 for SPT). Tests of heterogeneity showed consistent evidence of linkage of SPTQ to 3p11-3q21, whereas between-study heterogeneity was detected for asthma in 2p22-p13 and 6p21, and for atopic asthma in 1q23-q25. This large-scale meta-analysis provides an important resource of information that can be used to prioritize further fine-mapping studies and also be integrated with genome-wide association studies to increase power and better interpret the outcomes of these studies.

Original languageEnglish (US)
Pages (from-to)700-706
Number of pages7
JournalEuropean Journal of Human Genetics
Volume18
Issue number6
DOIs
StatePublished - Jun 2010
Externally publishedYes

Keywords

  • Asthma
  • Atopy
  • Linkage scan
  • Meta-analysis

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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