Based on current literature, greater clarity in defining the magnitude of polymorphism effects on pharmacokinetics can be achieved by addressing key components of study design, including adequate subject numbers per study group. Convincing evidence of functional relevance exists for polymorphisms in genes such as CYP2D6 and UGT1A1, whereas the published evidence for similar effects for CYP3A5, OATP1B1, and ABCB1 is still emerging or equivocal. Polymorphism-associated differences in pharmacokinetic parameters were simulated to incorporate (1) the ratio of group mean parameter values for homozygous wild-type subjects versus homozygous variants, (2) pharmacokinetic variability, and (3) sample size needed to achieve 80% power, assuming 69% coefficient of variation. Subject selection by genotype and choice of probe substrate are also considered. Simulation results and literature examples are incorporated to define key recommendations for future investigations. This will allow for more definitive statements in publications regarding genotype influence on pharmacokinetics.