Application of the method to WTCCC data recapitulated many known loci but also identified novel genome-wide significant genes. We believe that a systematic reanalyses of GWAS datasets in comprehensive repositories such as dbGAP and the European Genome-phenome Archive (EGA) could provide a cost-effective approach to uncovering novel disease mechanisms using only existing genomic resources.
