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

52 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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