We have assembled data concerning the biology of addiction in order to examine the genomic coverage of commercial SNP microarrays. We show that several of these arrays, including top of the line models such as the Illumina 1M and Affymetrix 6.0, fail to cover a significant amount of common genetic variation in addiction-related genes. We have also developed a SNP database that can be used to supplement these microarrays to achieve comprehensive coverage of these regions. This database is annotated with numeric prioritization scores [4] indicating the biological relevance of a SNP to addiction. This allows the prioritization of supplementary SNPs when resources are limited. We also include annotation indicating the extent to which a SNP is tagged through linkage disequilibrium (LD) with some SNP on a specific array with respect to a specific HapMap population: African, Chinese, European-American and Japanese. By combining the prioritization scores with LD tagging data, we can determine the most biologically relevant SNPs for comprehensive LD tagged coverage of genes that are biologically relevant to addiction.
