Genetic diversity contributes to both disease susceptibility and variability in response to drugs. However, it has proven difficult to isolate genes that underlie common complex disease, and genetic variations that influence clinical responses to drugs remain largely uncovered. The candidate gene approach to uncover genetic variations that contribute to disease susceptibility or variations in response to common drugs has not met expectations. Although the sib-pair linkage approach has certain theoretical advantages in dealing with common/complex disease, success has been slow in coming. Meanwhile family studies including siblings, cousins and second cousins, and studies in well-defined founder populations, have increasingly gained popularity and enabled scientists to map and isolate genes for common complex disease, such as schizophrenia and asthma. The latter method has generated new hope that this approach may also be effective in mapping genes that regulate drug response. Indeed, there is compelling evidence that corticosteroid sensitivity is a mapable trait in patients with asthma. Collectively, these studies support the value of leveraging information available within population-based data systems to map and isolate genes for common complex disease and drug response.