A cost effective RFLP method to genotype Solute carrier organic anion 1B1 (SLCO1B1) c.1929A>C (p.Leu643Phe, rs34671512); a variant with potential effect on rosuvastatin pharmacokinetics

Objective: This study describes a restriction fragment polymorphism protocol for rapidly screening the polymorphism SLCO1B1 c.1929A>C in genomic DNA samples. The polymorphism SLCO1B1 c.1929A>C has been associated with increased activity resulting in increased hepatic uptake of drugs. Currently SLCO1B1 c.1929A>C is genotyped using direct sequencing techniques and 5′ nuclease based assays which can be cost prohibiting in resource limited settings. The aim of this study therefore was to design and validate a cost effective RFLP for genotyping the SLCO1B1 c.1929A>C polymorphism. This study was designed to investigate the effect of the polymorphism SLCO1B1 c.1929A>C on interindividual variability in rosuvastatin pharmacokinetics in healthy volunteers of African descent. Results We describe a restriction fragment length polymorphism method to genotype SLCO1B1 c.1929A>C polymorphism using the restriction enzyme Ase1. A student’s t test with Welch correction was used to establish association between the SLCO1B1 c.1929A>C variant and rosuvastatin exposure. The frequency of the SLCO1B1 c.1929C allele amongst Zimbabweans was 6%. The SLCO1B1 c.1929C allele was associated with a 75% reduction (P C may therefore play a significant role in rosuvastatin response. The RFLP method is quick and cost effective

Warfarin Pharmacogenomics for Precision Medicine in Real-Life Clinical Practice in Southern Africa: Harnessing 73 Variants in 29 Pharmacogenes

Pharmacogenomics is universally relevant for worldwide modern therapeutics and yet needs further development in resource-limited countries. While there is an abundance of genetic association studies in controlled medical settings, there is a paucity of studies with a naturalistic design in real-life clinical practice in patients with comorbidities and under multiple drug treatment regimens. African patients are often burdened with communicable and noncommunicable comorbidities, yet the application of pharmacogenomics in African clinical settings remains limited. Using warfarin as a model, this study aims at minimizing gaps in precision/personalized medicine research in African clinical practice. We present, therefore, pharmacogenomic profiles of a cohort of 503 black Africans (n = 252) and Mixed Ancestry (n = 251) patients from Southern Africa, on warfarin and co-prescribed drugs in a naturalized noncontrolled environment. Seventy-three (n = 73) single nucleotide polymorphisms (SNPs) in 29 pharmacogenes were characterized using a combination of allelic discrimination, Sanger sequencing, restriction fragment length polymorphism, and Sequenom Mass Array. The common comorbidities were hypertension (43-46%), heart failure (39-45%), diabetes mellitus (18%), arrhythmia (25%), and HIV infection (15%). Accordingly, the most common co-prescribed drugs were antihypertensives, antiarrhythmic drugs, antidiabetics, and antiretroviral therapy. We observed marked variation in major pharmacogenes both at interethnic levels and within African subpopulations. The Mixed Ancestry group presented a profile of genetic variants reflecting their European, Asian, and African admixture. Precision medicine requires that African populations begin to capture their own pharmacogenetic SNPs as they cannot always infer with absolute certainty from Asian and European populations. In the current historical moment of the COVID-19 pandemic, we also underscore that the spectrum of drugs interacting with warfarin will likely increase, given the systemic and cardiovascular effects of COVID-19, and the anticipated influx of COVID-19 medicines in the near future. This observational clinical pharmacogenomics study of warfarin, together with past precision medicine research, collectively, lends strong support for incorporation of pharmacogenetic profiling in clinical settings in African patients for effective and safe administration of therapeutics