Genome-Wide Association Studies of Asthma in Population-Based Cohorts Confirm Known and Suggested Loci and Identify an Additional Association near HLA

A. Ramasamy, M. Kuokkanen, S. Vedantam, Z.K. Gajdos, A. Couto Alves, H.N. Lyon, M.A.R. Ferreira, D.P. Strachan, J.H. Zhao, M.J. Abramson, M.A. Brown, L. Coin, S.C. Dharmage, D.L. Duffy, T. Haahtela, A.C. Heath, C. Janson, M. Kähönen, K.-T. Khaw, J. LaitinenPeter Le Souef, T. Lehtimäki, P.A.F. Madden, G.B. Marks, N.G. Martin, M.C. Matheson, C.D. Palmer, A. Palotie, A. Pouta, C.F. Robertson, J. Viikari, E. Widen, M. Wjst, D.L. Jarvis, G.W. Montgomery, Philip Thompson, N. Wareham, J. Eriksson, P. Jousilahti, T. Laitinen, J. Pekkanen, O.T. Raitakari, G.T. O'Connor, V. Salomaa, M.-R. Jarvelin, J.N. Hirschhorn

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    79 Citations (Scopus)

    Abstract

    [Truncated abstract] Rationale: Asthma has substantial morbidity and mortality and a strong genetic component, but identification of genetic risk factors is limited by availability of suitable studies.Objectives: To test if population-based cohorts with self-reported physician-diagnosed asthma and genome-wide association (GWA) data could be used to validate known associations with asthma and identify novel associations.Methods: The APCAT (Analysis in Population-based Cohorts of Asthma Traits) consortium consists of 1,716 individuals with asthma and 16,888 healthy controls from six European-descent population-based cohorts. We examined associations in APCAT of thirteen variants previously reported as genome-wide significant (P
    Original languageEnglish
    Pages (from-to)10pp
    JournalPLoS One
    Volume7
    Issue number9
    DOIs
    Publication statusPublished - 28 Sep 2012

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