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  • Ramasamy, Adaikalavan (author)

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

  • E-article/E-chapterEnglish2012

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  • 2012

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  • LIBRIS-ID:22098628
  • http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-185642uri
  • urn:nbn:se:uu:diva-185642urn
  • 10.1371/journal.pone.0044008doi

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  • Language:English

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  • 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 < 5x10(-8)) and three variants reported as suggestive (P < 5 x 10(-7)). We also searched for novel associations in APCAT (Stage 1) and followed-up the most promising variants in 4,035 asthmatics and 11,251 healthy controls (Stage 2). Finally, we conducted the first genome-wide screen for interactions with smoking or hay fever. Main Results: We observed association in the same direction for all thirteen previously reported variants and nominally replicated ten of them. One variant that was previously suggestive, rs11071559 in RORA, now reaches genome-wide significance when combined with our data (P = 2.4x10(-9)). We also identified two genome-wide significant associations: rs13408661 near IL1RL1/IL18R1 (PStage1+Stage2 = 1.1x10(-9)), which is correlated with a variant recently shown to be associated with asthma (rs3771180), and rs9268516 in the HLA region (PStage1+Stage2 = 1.1x10(-8)), which appears to be independent of previously reported associations in this locus. Finally, we found no strong evidence for gene-environment interactions with smoking or hay fever status. Conclusions: Population-based cohorts with simple asthma phenotypes represent a valuable and largely untapped resource for genetic studies of asthma.

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  • Vedantam, Sailaja (author)
  • Gajdos, Zofia K. (author)
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  • Wjst, Matthias (author)
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  • Montgomery, Grant W. (author)
  • Thompson, Philip J. (author)
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  • Eriksson, Johan (author)
  • Jousilahti, Pekka (author)
  • Laitinen, Tarja (author)
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  • Raitakari, Olli T. (author)
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  • Jarvelin, Marjo-Riitta (author)
  • Hirschhorn, Joel N. (author)
  • Uppsala universitetMedicinska och farmaceutiska vetenskapsområdet (publisher)

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  • In:VärdpublikationPLoS ONE7:9, e440081932-6203

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