The GIN prioritization method is designed to be flexible and allow a variety of biological databases to be incorporated while remaining viable and interpretable. Future iterations of SPOT will include additional biological information such as expression quantitative trait loci (12), transcription factor binding sites, micro RNA target sites and other GWAS results [see (13) and (14) for some proposed methods on implementing these kinds of data]. A useful feature would be to add predefined gene sets to SPOT’s query tool. For example, the NeuroSNP database (3) (http://nidagenetics.org/neurosnp/index.htm) consists of genes related to addiction-related diseases. Future iterations will allow the user to specify such a database, either with predefined prioritization scores or a user-defined score for the entire set. This feature would be added for convenience only as users can currently accomplish this by directly entering these gene lists into SPOT. Similar to the idea behind disease-related gene databases is the Human Variome Project (15) that aims to develop novel methods of cataloging human genetic variation and its relation to disease, and like gene databases the results of this project could
