Despite scientific and clinical advances in the field of pharmacogenomics (PGx), application into routine care remains limited. Opportunely, several implementation studies and programs have been initiated over recent years. This article presents an overview of these studies and identifies current research gaps. Importantly, one such gap is the undetermined collective clinical utility of implementing a panel of PGx-markers into routine care, because the evidence base is currently limited to specific, individual drug-gene pairs. The Ubiquitous Pharmacogenomics (U-PGx) Consortium, which has been funded by the European Commission's Horizon-2020 program, aims to address this unmet need. In a prospective, block-randomized, controlled clinical study (PREemptive Pharmacogenomic testing for prevention of Adverse drug REactions [PREPARE]), pre-emptive genotyping of a panel of clinically relevant PGx-markers, for which guidelines are available, will be implemented across healthcare institutions in seven European countries. The impact on patient outcomes and cost-effectiveness will be investigated. The program is unique in its multicenter, multigene, multidrug, multi-ethnic, and multihealthcare system approach.

Susceptibility to lung cancer may in part be attributable to inter-individual variability in metabolic activation or detoxification of tobacco carcinogens. The glutathione S-transferase M1 (GSTM1) genetic polymorphism has been extensively studied in this context; two recent meta-analyses of case-control studies suggested an association between GSTM1 deletion and lung cancer. At least 15 studies have been published after these overviews. We undertook a new meta-analysis to summarize the results of 43 published case-control studies including >18 000 individuals. A slight excess of risk of lung cancer for individuals with the GSTM1 null genotype was found (odds ratio (OR) = 1.17, 95% confidence interval (CI) 1.07-1.27). No evidence of publication bias was found (P = 0.4), however, it is not easy to estimate the extent of such bias and we cannot rule out some degree of publication bias in our results. A pooled analysis of the original data of about 9500 subjects involved in 21 case-control studies from the International Collaborative Study on Genetic Susceptibility to Environmental Carcinogens (GSEC) data set was performed to assess the role of GSTM1 genotype as a modifier of the effect of smoking on lung cancer risk with adequate power. Analyses revealed no evidence of increased risk of lung cancer among carriers of the GSTM1 null genotype (age-, gender- and center-adjusted OR = 1.08, 95% CI 0.98-1.18) and no evidence of interaction between GSTM1 genotype and either smoking status or cumulative tobacco consumption.

Warfarin is an anticoagulant drug with narrow therapeutic index and high interindividual variability in dose requirement. S-warfarin is metabolized mainly by polymorphic cytochrome P450 (CYP) 2C9. We systematically quantified the influence of CYP2C9 genotype, demographic factors and concomitant drug treatment on warfarin metabolism and maintenance dose. The mean warfarin doses were lower in carriers of one (2.71 mg/day, 59 patients) and two polymorphic alleles (1.64 mg/day, 11 patients) than in carriers of two wild-type alleles (4.88 mg/day, 118 patients). Multiple regression analysis demonstrated that CYP2C9 genotype, age, concomitant treatment with warfarin metabolism inducers and lean body weight contributed significantly to interindividual variability in warfarin dose requirement (adjusted R 2 ¼ 0.37). The same factors, except for age, significantly influenced S-warfarin clearance (adjusted R 2 ¼ 0.42). These results can serve as a starting point for designing prospective studies in patients in the initiation phase of genotype-based warfarin therapy.

The degree of interpatient variability in the warfarin dose required to achieve the desired anticoagulant response can only partly be explained by polymorphisms in the CYP2C9 gene, suggesting that additional genetic factors such as polymorphisms in genes involved in blood coagulation may influence warfarin dose requirement. In total, 165 Caucasian outpatients on stable maintenance warfarin treatment previously genotyped for CYP2C9 were analysed for common polymorphisms in FVII, GGCX and VKORC1 genes. The -402G > A polymorphism and a variable number of repeats in intron 7 of FVII gene did not significantly influence warfarin dose. The mean warfarin doses increased with the number of (CAA) repeats in the GGCX gene, but the differences were significant only in the CYP2C9*1/*1 subgroup of patients (p = 0.032). Common polymorphism (6484C > T) in intron 1 of the VKORC1 gene led to lower warfarin dose requirement; the means were 5.70 (95% C.I. 4.95-6.45), 3.49 (3.07-3.90) and 2.11 (1.80-2.42) mg/day for 6484 CC, CT and TT genotypes, respectively (p < 0.001). In contrast, 9041G > A polymorphism in 3'UTR of theVKORC1 gene led to higher warfarin dose requirement; the means were 3.09 (2.58- 3.60), 4.26 (3.69-4.82) and 5.86 (4.53-7.19) mg/day for 9041 GG, GA and AA genotypes, respectively (p < 0.001). With a regression model we explained 60.0% of variability in warfarin dose, which was due to gene polymorphisms (CYP2C9, VKORC1), age and body-surface-area. When aiming for individualised warfarin therapy, at least VKORC1 polymorphisms should be included in predictive genotyping besides CYP2C9.

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