The Smokescreen array achieves robust genome-wide coverage of common variants, and exceptional coverage of 1014 genes relevant to addiction and known nicotine metabolism and smoking behavior regions in African (YRI), Asian, and European populations. These, paired with content from recent findings and related work in pharmacogenomics, comorbidities, and attributable diseases create a comprehensive genotyping array for addiction research. Analytical validity and utility were demonstrated through pilot genotyping of HapMap and study samples. For HapMap samples, the genotype concordance for overlapping content was > 99 %. Based on samples from nicotine metabolism laboratory studies, we identified variants at genome-wide significance in a region known to be highly influential on nicotine metabolism, serving as a positive confirmation of the array’s design. These attributes enable researchers to perform genome-wide, candidate gene, and pathway-based association analyses on various addictions, including those related to smoking and tobacco use.
