Four years after the publication of the first article reporting a positive finding from a GWAS, we have learned that GWAS can be effective to discover novel genetic modifiers of common diseases. However, much work remains to be done to fully extract information from the massive amount of data produced by these studies. Integration of genetic with other gene product data, follow up of preliminary results through informative experiments, and deep modeling of data can help translate GWAS and other genomic data into better understanding of the mechanism leading to disease and tools for disease prevention.
