In this study, we collected genetic association studies published in the field of drug addiction for meta-analyses. The power of such meta-analyses is linked to the relatively simple model of the underlying genetic architecture that they presuppose: that SNP genotype results from different samples with differences in genetic background will provide association with drug addiction with the same phase. The significant convergence that such analyses provide herein does support roles for genetic variants with these properties in some aspects of individual differences in susceptibility to dependence. However, recent analyses also provide evidence for roles in addiction susceptibility for more "recent" variants raised after population divergences, which are less likely to be identified by such meta-analytic procedures. Besides the 'common' genetic background identified, it is also interesting to evaluate susceptible variants for different addictive drugs. However, currently the number of available allelic contrast tests data was too limited to perform such an analysis. In the future we will continue to integrate new data toward a better understanding of drug addiction. In addition, recent re-sequencing efforts using next-generation deep sequencing technology support
