Genome-wide association studies of asthma in population-based cohorts confirm known and suggested loci and identify an additional association near HLA.
- Ramasamy, A
- Kuokkanen, M
- Vedantam, S
- Gajdos, ZK
- Couto Alves, A
- Lyon, HN
- Ferreira, MA
- Strachan, DP
- Zhao, JH
- Abramson, MJ
- Brown, MA
- Coin, L
- Dharmage, SC
- Duffy, DL
- Haahtela, T
- Heath, AC
- Janson, C
- Kähönen, M
- Khaw, KT
- Laitinen, J
- Le Souef, P
- Lehtimäki, T
- Australian Asthma Genetics Consortium Collaborators
- Madden, PA
- Marks, GB
- Martin, NG
- Matheson, MC
- Palmer, CD
- Palotie, A
- Pouta, A
- Robertson, CF
- Viikari, J
- Widen, E
- Wjst, M
- Jarvis, DL
- Montgomery, GW
- Thompson, PJ
- Wareham, N
- Eriksson, J
- Jousilahti, P
- Laitinen, T
- Pekkanen, J
- Raitakari, OT
- O'Connor, GT
- Salomaa, V
- Jarvelin, MR
- Hirschhorn, JN
DOIAbstract
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<5 x 10(-8)) and three vari...
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