October 6, 2012

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


Open Access
RESEARCH ARTICLE

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

Adaikalavan Ramasamy1,2,3#Mikko Kuokkanen4#Sailaja Vedantam5,6#Zofia K. Gajdos5,6#Alexessander Couto Alves2Helen N. Lyon5,6Manuel A. R. Ferreira7David P. Strachan8Jing Hua Zhao9Michael J. Abramson10,Matthew A. Brown11Lachlan Coin2Shyamali C. Dharmage12David L. Duffy7Tari Haahtela13Andrew C. Heath14Christer Janson15Mika Kähönen16Kay-Tee Khaw17Jaana Laitinen18Peter Le Souef19Terho Lehtimäki20Australian Asthma Genetics Consortium collaboratorsPamela A. F. Madden14Guy B. Marks21,Nicholas G. Martin7Melanie C. Matheson12Cameron D. Palmer5,6Aarno Palotie22,23,24,25Anneli Pouta26,27,Colin F. Robertson28Jorma Viikari29Elisabeth Widen23Matthias Wjst30Deborah L. Jarvis1,31Grant W. Montgomery7Philip J. Thompson32Nick Wareham9Johan Eriksson33,34,35,36Pekka Jousilahti4Tarja Laitinen37,38Juha Pekkanen39,40Olli T. Raitakari41,42George T. O'Connor43,44Veikko Salomaa4#*Marjo-Riitta Jarvelin2,31,33,45,46#*Joel N. Hirschhorn5,6,47#*
1 Respiratory Epidemiology and Public Health, Imperial College London, London, United Kingdom, 2 Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom, 3 Department of Medical and Molecular Genetics, King’s College London, London, United Kingdom, 4 Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland, 5 Divisions of Genetics and Endocrinology, Children’s Hospital, Boston, Massachusetts, United States of America, 6 Broad Institute, Cambridge, Massachusetts, United States of America, 7 The Queensland Institute of Medical Research, Brisbane, Australia, 8 Division of Community Health Sciences, St George’s, University of London, London, United Kingdom, 9 MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, United Kingdom, 10 Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia,, 11 University of Queensland Diamantina Institute, Princess Alexandra Hospital, Brisbane, Australia, 12 Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, University of Melbourne, Melbourne, Australia, 13 Skin and Allergy Hospital, Helsinki University Hospital, Helsinki, Finland, 14 Washington University School of Medicine, St. Louis, Missouri, United States of America, 15 Department of Medical Sciences: Respiratory Medicine and Allergology, Uppsala University, Uppsala, Sweden, 16Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland, 17 Clinical Gerontology Unit, Addenbrooke’s Hospital, Cambridge, United Kingdom, 18 Finnish Institute of Occupational Health, Oulu, Finland, 19 School of Paediatrics and Child Health, Princess Margaret Hospital for Children, Perth, Australia, 20 Department of Clinical Chemistry, University of Tampere and Tampere University Hospital, Tampere, Finland, 21 Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia, 22 Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom, 23 Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland, 24 Medical and Population Genetics and Genetic Analysis Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America, 25 Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland, 26 Department of Children, Young People and Families, National Institute for Health and Welfare, Helsinki, Finland,27 Institute of Clinical Medicine/Obstetrics and Gynecology, University of Oulu, Oulu, Finland, 28 Respiratory Medicine, Murdoch Children’s Research Institute, Melbourne, Australia, 29 Department of Medicine, University of Turku, Turku, Finland,30 Helmholtz Zentrum Munchen German Research Center for Environmental Health, Munich-Neuherberg, Germany, 31 MRC Health Protection Agency (HPA) Centre for Environment and Health, Imperial College London, London, United Kingdom, 32Lung Institute of Western Australia and Centre for Asthma, Allergy and Respiratory Research, University of Western Australia, Perth, Australia, 33 National Institute for Health and Welfare, Helsinki, Finland, 34 Unit of General Practice, Helsinki University Central Hospital, Helsinki, Finland, 35 Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland, 36 Folkhälsan Research Center, Helsinki, Finland, 37 Department of Pulmonary Diseases and Clinical Allergology, Turku University Hospital, Turku, Finland, 38 University of Turku, Turku, Finland, 39 Department of Environmental Health, National Institute for Health and Welfare (THL), Kuopio, Finland, 40 Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland, 41 Research Centre of Applied and Preventive Medicine, University of Turku, Turku, Finland, 42 Department of Clinical Physiology, Turku University Hospital, Turku, Finland, 43Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America, 44 The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, United States of America, 45 Institute of Health Sciences, University of Oulu, Oulu, Finland, 46 Biocenter Oulu, University of Oulu, Oulu, Finland, 47 Department of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America

Abstract Top

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 sup="sup">−8
) and three variants reported as suggestive (P<5 sup="sup">−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 = 2.4×10−9). 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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