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Genome Wide Association Study to predict severe asthma exacerbations in children using random forests classifiers

Mousheng Xu12, Kelan G Tantisira13*, Ann Wu1, Augusto A Litonjua13, Jen-hwa Chu1, Blanca E Himes1, Amy Damask4 and Scott T Weiss1

Author Affiliations

1 Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA

2 Bioinformatics Program, Boston University, Boston, MA, USA

3 Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA

4 Novartis, Cambridge, MA, USA

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BMC Medical Genetics 2011, 12:90  doi:10.1186/1471-2350-12-90

Published: 30 June 2011

Additional files

Additional File 1:

Table S1. Top 160 SNPs based on importance scores computed by RF. "GENE" is the closest gene to the SNP, "GENE REGION" is the relative location of the SNP to the gene.

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