prioritize which SNPs are selected to supplement commercial microarrays. The score incorporates SNP/gene functional properties (such as coding and promoter regions), human/mouse evolutionary conservation, and a quantitative trait locus (QTL) mapping method that utilizes mouse models to identify genes associated with addiction phenotypes (Chesler and colleagues, submitted). Figure S2 shows the distribution of prioritization scores for our genome-wide SNP database, and Figure S3 shows the GIN network model we used to model addiction, which was adapted from the nicotine dependence model used by Saccone and colleagues [4].
