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

Adaikalavan Ramasamy, Mikko Kuokkanen, Sailaja Vedantam, Zofia K Gajdos, Alexessander Couto Alves, Helen N Lyon, Manuel A R Ferreira, David P Strachan, Jing Hua Zhao, Michael J Abramson, Matthew A Brown, Lachlan Coin, Shyamali C Dharmage, David L Duffy, Tari Haahtela, Andrew C Heath, Christer Janson, Mika Kähönen, Kay-Tee Khaw, Jaana Laitinen, Peter Le Souef, Terho Lehtimäki, Australian Asthma Genetics Consortium Collaborators, Pamela A F Madden, Guy B Marks, Nicholas G Martin, Melanie C Matheson, Cameron D Palmer, Aarno Palotie, Anneli Pouta, Colin F Robertson, Jorma Viikari, Elisabeth Widen, Matthias Wjst, Deborah L Jarvis, Grant W Montgomery, Philip J Thompson, Nick Wareham, Johan Eriksson, Pekka Jousilahti, Tarja Laitinen, Juha Pekkanen, Olli T Raitakari, George T O'Connor, Veikko Salomaa, Marjo-Riitta Jarvelin and Joel N Hirschhorn

PLOS ONE, 2012, vol. 7, issue 9, 1-10

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

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0044008

DOI: 10.1371/journal.pone.0044008

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