BMC Medical Genetics

official impact factor 2.44

Open Access Research article

A pooling-based genome-wide analysis identifies new potential candidate genes for atopy in the European Community Respiratory Health Survey (ECRHS)

Francesc Castro-Giner1,2,3, Mariona Bustamante3,4, Juan Ramon González1,2,3, Manolis Kogevinas1,2,3,5, Deborah Jarvis6, Joachim Heinrich7, Josep-Maria Antó1,2,3,8, Matthias Wjst9, Xavier Estivill3,4,8 and Rafael de Cid10,3,4*

  • * Corresponding author: Rafael de Cid decid@cng.fr

  • † Equal contributors

Author Affiliations

1 Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain

2 Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain

3 Public Health and Epidemiology Network Biomedical Research Center (CIBERESP), Barcelona, Spain

4 Genes and Disease Program, Center for Genomic Regulation (CRG), Barcelona, Spain

5 Medical School, University of Crete, Heraklion, Greece

6 Respiratory Epidemiology and Public Health Group, National Heart and Lung Institute, Imperial College, London, UK

7 Institute of Epidemiology, Helmholtz Zentrum München, Munich, Germany

8 Department of Health and Experimental Sciences, University Pompeu Fabra, Barcelona, Spain

9 German Research Center for Environmental Health, Helmholtz Centre GSF, Munich, Germany

10 CEA, Institute de Genomique. Centre National de Genotypage (CNG), Evry, France

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BMC Medical Genetics 2009, 10:128 doi:10.1186/1471-2350-10-128

Published: 6 December 2009

Additional files

Additional file 1:

Additional file is in acrobat reader file format. Contains 3 tables and 1 Figure: • Additional table S1 - SNPs associated with asthma or atopy with a FDR of 5% and the surrounding region in the pooling-based GWA. • Additional table S2 - Results of the association between the 53 SNPs and asthma or atopy at an individual level. • Additional table S3 - Statistical power calculation for replication using Quanto software v1.2.4 http://hydra.usc.edu/gxe webcite for significance (two-sided) of 0.05 and additive genetic model. Additional figure S1 - Linkage disequilibrium pattern for the HapMap CEPH population of the region flanking SGK493 gene (10 kb at 5' and 3') based on the method of Gabriel et al[18] implemented in Haploview.

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