The role of phase I and II genetic polymorphisms, smoking, alcohol and cancer family history, in the risk of developing testicular cancer Background Testicular cancer (TCa) is a malignant tumor with highest incidence and mortality rates in Chile. The genes coding for cytochrome P450, glutathione-S-transferases (GSTs), and UDP glucuronyl transferases (UGT) participate in the biotransformation and detoxification of xenobiotics. Mutations in these genes have been associated with a high incidence of various types of cancer and an increased risk of presenting adverse reactions to drugs. Objective The aim of this study was to relate the presence of genetic polymorphisms in cytochrome P450 1A1 (CYP1A1), CYP3A4, GSTM1, GSTP1, GSTT1, and UGT1A1 genes and nongenetic factors with the risk of developing TCa. Methods A total of 276 volunteers from the Chilean general population and 251 Chilean TCa patients were recruited for the study. Genotypic analyses were performed using qPCR and PCR-RFLP. Results Variant alleles found to increase the risk of developing TCa were CYP1A1*2C (rs1048943), GSTP1 (rs1695), and GSTT1null, especially when in conjunction with a cancer family history and/or a smoking habit. The results of the multivariate analysis showed that the presence of variant alleles of GSTP1 (rs1695) together with a smoking habit and a family history of cancer accounted for a 15.9% risk of developing TCa in the Chilean population. CYP1A1*2C, GSTM1null, GSTT1null, and GSTP1 (rs1695) are statistically related to the risk of appearance of TCa, alone or associated with nongenetic factors. Conclusion Therefore, phase I and II variant alleles might be useful in evaluating susceptibility to TCa in the studied population.

Targeted ultra-deep sequencing of a South African Bantu-speaking cohort to comprehensively map and characterize common and novel variants in 65 pharmacologically-related genes Background African populations are characterised by high genetic diversity, which provides opportunities for discovering and elucidating novel variants of clinical importance, especially those affecting therapeutic outcome. Significantly more knowledge is however needed before such populations can take full advantage of the advances in precision medicine. Coupled with the need to concisely map and better understand the pharmacological implications of genetic diversity in populations of sub-Sharan African ancestry, the aim of this study was to identify and characterize known and novel variants present within 65 important absorption, distribution, metabolism and excretion genes. Patients and methods Targeted ultra-deep next-generation sequencing was used to screen a cohort of 40 South African individuals of Bantu ancestry. Results We identified a total of 1662 variants of which 129 are novel. Moreover, out of the 1662 variants 22 represent potential loss-of-function variants. A high level of allele frequency differentiation was observed for variants identified in this study when compared with other populations. Notably, on the basis of prior studies, many appear to be pharmacologically important in the pharmacokinetics of a broad range of drugs, including antiretrovirals, chemotherapeutic drugs, antiepileptics, antidepressants, and anticoagulants. An in-depth analysis was undertaken to interrogate the pharmacogenetic implications of this genetic diversity. Conclusion Despite the new insights gained from this study, the work illustrates that a more comprehensive understanding of population-specific differences is needed to facilitate the development of pharmacogenetic-based interventions for optimal drug therapy in patients of African ancestry.

The effect of the CYP2D6 genotype on the maintenance dose of metoprolol in a chronic Dutch patient population Metoprolol is among the most frequently prescribed β-blockers for the treatment of various cardiovascular diseases. Genetic polymorphism within CYP2D6 has been shown to affect the rate of metabolism of metoprolol. Whether metoprolol dose adjustments are indicated in CYP2D6 poor metabolizers (PMs) has thus far not well been studied. The aim of this study was to determine the effect of the CYP2D6 genotype on the metoprolol maintenance dose in a chronic Dutch patient population. Patients were included if they were treated with metoprolol and in whom CYP2D6 genotype status was known. Patient and treatment characteristics were obtained retrospectively from the electronic healthcare records. Metoprolol maintenance dose was the primary endpoint and was defined as the last known dose that the patients had been treated with. Genotype data were categorized into four phenotypes, that is, PMs, intermediate metabolizers, extensive metabolizers, and ultra-rapid metabolizers (UMs). The endpoints were analyzed as PM versus non-PM. A total of 105 patients were included. The mean ± SD maintenance dose in PMs (n = 12) was significantly lower compared with non-PMs (n = 93), that is, 48 ± 20 versus 84 ± 53 mg, respectively (P = 0.019). No association of the CYP2D6 genotype with the incidence of side effects was observed, although there was a trend for increased risk of drowsiness (P = 0.053). The results of this study show that the CYP2D6 genotype is associated with the maintenance dose of metoprolol. Patients with the CYP2D6 PM phenotype may benefit from a lower metoprolol starting dose, followed by further dose titration to provide patient-tailored therapy and thereby increase the effectiveness of treatment.