1. Network-assisted analysis of GWAS data identifies a functionally-relevant gene module for childhood-onset asthma
- Author
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Y. Liu, M. Brossard, C. Sarnowski, A. Vaysse, M. Moffatt, P. Margaritte-Jeannin, F. Llinares-López, M. H. Dizier, M. Lathrop, W. Cookson, E. Bouzigon, and F. Demenais
- Subjects
Medicine ,Science - Abstract
Abstract The number of genetic factors associated with asthma remains limited. To identify new genes with an undetected individual effect but collectively influencing asthma risk, we conducted a network-assisted analysis that integrates outcomes of genome-wide association studies (GWAS) and protein-protein interaction networks. We used two GWAS datasets, each consisting of the results of a meta-analysis of nine childhood-onset asthma GWASs (5,924 and 6,043 subjects, respectively). We developed a novel method to compute gene-level P-values (fastCGP), and proposed a parallel dense-module search and cross-selection strategy to identify an asthma-associated gene module. We identified a module of 91 genes with a significant joint effect on childhood-onset asthma (P
- Published
- 2017
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