by broadening our selection of candidate genes to include multiple genes in a interconnected system, rather than simply focusing on single putatively interesting genes, we hope to provide a more complete picture of the impact of the entire system. This potentially allows for the identification of sets of markers in the presence of some system redundancy. Thus, we have leveraged biological knowledge in the selection of both SNPs and genes while also including broad SNP coverage within each gene and an expanded selection of genes across the entire dopamine system. Our analysis mimics this structure in which we first perform tests of single SNPs for main effects and SNP X treatment interactions, while adjusting the level of significance for all SNPs within each gene. Then, taking a more global perspective, we further adjust for the number of genes used to characterize the entire system. Then, based upon findings from this analysis, we use our biological knowledge to guide us in testing the haplotypic effects and interactions with other relevant candidate genes.
