Precision medicine in the age of big data: The present and future role of large-scale unbiased sequencing in drug discovery and development.

High throughput molecular and functional profiling of patients is a key driver of precision medicine. DNA and RNA characterization has been enabled at unprecedented cost and scale through rapid, disruptive progress in sequencing technology, but challenges persist in data management and interpretation. We analyze the state-of-the-art of large-scale unbiased sequencing in drug discovery and development, including technology, application, ethical, regulatory, policy and commercial considerations, and discuss issues of LUS implementation in clinical and regulatory practice.

Racial/ethnic differences in drug disposition and response: review of recently approved drugs.

Race and ethnicity can contribute to interindividual differences in drug exposure and/or response, which may alter risk-benefit in certain populations. Approximately one-fifth of new drugs approved in the past 6 years demonstrated differences in exposure and/or response across racial/ethnic groups, translating to population-specific prescribing recommendations in a few cases. When data from diverse populations were lacking, additional postmarketing studies were recommended. In this review we highlight several cases where race/ethnicity was central to regulatory decision-making.

Next-generation medicines: past regulatory experience and considerations for the future.

Application of personalized medicine in drug development and regulation has been limited by similar logistical, informatics, and cultural barriers that limit use of pharmacogenetics in the clinic. An additional challenge is coordinated codevelopment of new drugs and diagnostic tests. Nevertheless, the impact of personalized medicine strategies (e.g., pharmacogenomics) is being realized. We highlight some of our experiences to date and considerations for the development of the next generation of targeted therapies.

The CYP2C19*17 variant is not independently associated with clopidogrel response.

BACKGROUND: Cytochrome P450 2C19 (CYP2C19) is the principal enzyme responsible for converting clopidogrel into its active metabolite, and common genetic variants have been identified, most notably CYP2C19*2 and CYP2C19*17, that are believed to alter its activity and expression, respectively. OBJECTIVE: We evaluated whether the consequences of the CYP2C19*2 and CYP2C19*17 variants on clopidogrel response were independent of each other or genetically linked through linkage disequilibrium (LD). PATIENTS/METHODS: We genotyped the CYP2C19*2 and CYP2C19*17 variants in 621 members of the Pharmacogenomics of Anti-Platelet Intervention (PAPI) Study and evaluated the effects of these polymorphisms singly and then jointly, taking into account LD, on clopidogrel prodrug level, clopidogrel active metabolite level, and adenosine 5'-diphosphate (ADP)-stimulated platelet aggregation before and after clopidogrel exposure. RESULTS: The CYP2C19*2 and CYP2C19*17 variants were in LD (|D'| = 1.0; r(2)  = 0.07). In association analyses that did and did not account for the effects of CYP2C19*17, CYP2C19*2 was strongly associated with levels of clopidogrel active metabolite (ß = -5.24, P = 3.0 × 10(-9) and ß = -5.36, P = 3.3 × 10(-14) , respectively) and posttreatment ADP-stimulated platelet aggregation (ß = 7.55, P = 2.9 × 10(-16) and ß = 7.51, P = 7.0 × 10(-15) , respectively). In contrast, CYP2C19*17 was marginally associated with clopidogrel active metabolite levels and ADP-stimulated platelet aggregation before (ß = 1.57, P = 0.04 and ß = -1.98, P = 0.01, respectively) but not after (ß = 0.40, P = 0.59 and ß = -0.13, P = 0.69, respectively) adjustment for the CYP2C19*2 variant. Stratified analyses of CYP2C19*2/CYP2C19*17 genotype combinations revealed that CYP2C19*2, and not CYP2C19*17, was the primary determinant in altering clopidogrel response. CONCLUSIONS: Our results suggest that CYP2C19*17 has a small (if any) effect on clopidogrel-related traits and that the observed effect of this variant is due to LD with the CYP2C19*2 loss-of-function variant.

beta-adrenergic receptor gene polymorphisms and beta-blocker treatment outcomes in hypertension.

Numerous studies have demonstrated that beta(1)- and beta(2)-adrenergic receptor gene (ADRB1 and ADRB2) variants influence cardiovascular risk and beta-blocker responses in hypertension and heart failure. We evaluated the relationship between ADRB1 and ADRB2 haplotypes, cardiovascular risk (death, nonfatal myocardial infarction (MI), and nonfatal stroke), and atenolol-based vs. verapamil sustained-release (SR)-based antihypertensive therapy in 5,895 coronary artery disease (CAD) patients. After an average of 2.8 years, death rates were higher in patients carrying the ADRB1 Ser49-Arg389 haplotype (hazard ratio (HR) 3.66, 95% confidence interval (95% CI) 1.68-7.99). This mortality risk was significant in patients randomly assigned to verapamil SR (HR 8.58, 95% CI 2.06-35.8) but not atenolol (HR 2.31, 95% CI 0.82-6.55), suggesting a protective role for the beta-blocker. ADRB2 haplotype associations were divergent within the treatment groups but did not remain significant after adjustment for multiple comparisons. ADRB1 haplotype variation is associated with mortality risk, and beta-blockers may be preferred in subgroups of patients defined by ADRB1 or ADRB2 polymorphisms.