on therapeutic outcomes. This has been demonstrated for codeine [7,8], tramadol [9,10] and oxycodone [11,12], when activated by CYP2D6 into their active moieties, morphine, O-desmethyltramadol and oxymorphone, respectively, in terms of pharmacokinetic and pharmacodynamic consequences. In the case of reduced or absent CYP2D6 activity such as in poor metabolizers (PMs) for CYP2D6 (7–10% of Caucasians), reduced or absent metabolite formation and reduced analgesic effects have been observed. After major abdominal surgery, nonresponse rates to tramadol were fourfold higher amongst PMs than other CYP2D6 genotypes [10]. A cohort study demonstrated that children undergoing ineffective pain treatment of sickle cell crisis with codeine were more likely to have reduced CYP2D6 activity [13]. Inversely, ultrarapid metabolizers (UMs) for CYP2D6, with increased enzymatic activity, experienced quicker analgesic effects but were prone to higher μ-opioid-related toxicity after tramadol [14] or oxycodone in the experimental pain setting [12]. Furthermore, case reports have highlighted the risks of codeine use in pediatrics and breastfed neonates in association with the UM genotype [6,15]. The dual serotoninergic and adrenergic inhibitor antidepressants, such as venlafaxine, and the tricyclics used in the treatment of neuropathic pain are also metabolized by CYP2D6. The PM phenotype has been associated with higher risks of tricyclics toxicity [16]. Inversely, UMs may experience reduced effects due to subtherapeutic plasma levels [17]. However, even though dose adjustments according to CYP2D6 (and CYP2C19) have been published for antidepressants, these guidelines relate to psychiatric doses [18] and no investigations in the neuropathic pain setting have been published Over the last decade, the knowledge of genetic modulators of pain and antinociception has increased so that individualized pre-emptive pain therapy adjusted to the patient’s genetic background could move closer to reality [1]. Indeed, in the field of oncology, it is now established that the choice of treatment and/or dose adjustment according to a patient’s genetic make-up is associated with better therapeutic outcomes [2]. In current clinical practice in pain medicine, individual patients are given their own analgesic trial, depending on pain intensity and origin, at a standardized dose followed by individual titration until expected outcomes are achieved. The trial and error approach is progressively adjusted, according to the physician’s experience with patients with related pain or disease conditions. However, studies have shown that doses of opioids administered may vary as much as 40-fold in the clinical setting [3]. Moreover, a significant proportion of patients will experience side effects or inadequate analgesia. The heterogeneity observed in response to pain medication might be due to the underlying disease itself or compliance, but also to the genetic background of the individual. Studies have reported genetic variations in drug absorption, distribution, metabolism and elimination that might ultimately have an impact on the efficacy/safety ratio of a particular drug [4–6]. Evidence for the influence of genetic polymorphisms of drug-metabolizing enzymes, such as cytochromes P450 (CYP), on the response to various analgesics is now established. A prototypical example is illustrated by prodrug opioids that need to be bioactivated by CYP2D6 into active metabolites, with genetic polymorphisms of CYP2D6 having a profound impact “Gene–drug interactions are still poorly understood and there is a need for prospective highly powered studies in phenotyped populations to evaluate the cost–effectiveness of pre-emptive drug selection and dosage according to the genotypic and phenotypic data.”