They used two schizophrenia GWAS datasets to build and validate their genetic-network modules, and they implemented new approaches to assess the statistical significance of disease modules to overcome the biases related to gene length, SNP density, and baseline degree distribution. They found a disease module composed of 205 genes for schizophrenia; 76 of those genes showed nominal evidence for association in a third schizophrenia GWAS.
