Frequency of the SLCO1B1 388A>G and the 521T>C polymorphism in Tanzania genotyped by a new LightCycler®-based method.

Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska University Hospital-Huddinge C-168, Karolinska Institute, SE-141 86 Stockholm, Sweden.
European Journal of Clinical Pharmacology (Impact Factor: 2.74). 06/2011; 67(11):1139-45. DOI: 10.1007/s00228-011-1065-9
Source: PubMed

ABSTRACT The 388A>G and the 521T>C polymorphism of the SLCO1B1 gene affect the activity of the uptake transporter OATP1B1, thus influencing kinetics, safety, and efficacy of substrate drugs. To evaluate the impact of these polymorphisms in populations of different ethnic origins, it is important to know their frequencies and to develop fast and reliable methods for genotyping. We therefore established a new, high-throughput method and determined the genotype and allelic frequencies of these polymorphisms in Tanzanians, for which the frequencies were unknown thus far.
New LightCycler® 480-based methods with hybridization probes were established and used to genotype 366 Tanzanian and 236 European individuals for 388A>G (rs2306283) and 521T>C (rs4149056) in the SLCO1B1 gene. The methods were validated by direct sequencing of the polymerase chain reaction (PCR) products of heterozygous individuals and checked for intrarun precision repeatability, interrun precision reproducibility, robustness, and deviations from the Hardy-Weinberg equilibrium.
The new methods allow unambiguous identification of the corresponding genotypes. There was a clear difference in allelic distribution between Tanzanians and Europeans, with the 388A>G (rs2306283) being much more prevalent in Tanzanians (87% vs 41%) and the 521T>C (rs4149056) being very rare in this African population (6% vs 17%).
We developed robust and high-throughput methods to genotype common SLCO1B1 allelic variants with the LightCycler® 480. In Tanzanians, we identified the highest frequency of the 388A>G and 521T>C polymorphisms ever reported from black populations. The clinical relevance of SLCO1B1 genetic variation in the African population remains to be investigated.

1 Bookmark
  • [Show abstract] [Hide abstract]
    ABSTRACT: PURPOSE: We assessed the effect of cytochrome P450 (CYP) 3A4 and the OATP1B1 inhibitor clarithromycin on ambrisentan steady-state kinetics and its relationship to the SLCO1B1*15 haplotype in healthy volunteers. METHODS: In this open-label, monocenter, one-sequence crossover clinical trial ten male healthy participants were stratified according to CYP2C19 and SLCO1B1 (encoding for OATP1B1) genotype into two groups: group 1 (n = 6), with CYP2C19*1/*1 (extensive metabolizer, EM) and SLCO1B1 wild-type; group 2 (n = 4), with CYP2C19 EM and homozygous (n = 3) or heterozygous for SLCO1B1*15 (n = 1). The participants were administered a once-daily oral dose of 5 mg ambrisentan on study days 1 and days 3-14 and twice-daily oral doses of 500 mg clarithromycin on study days 11-14. To monitor CYP3A activity 3 mg midazolam was given orally 1 day before the first ambrisentan administration and on days 1, 10, and 14 of ambrisentan treatment. Ambrisentan plasma kinetics was assessed on days 1 (single dose), 10 (steady-state), and 14 (CYP3A4/OATP1B1 inhibition by clarithromycin). RESULTS: Consistent with the expectation that ambrisentan does not induce its own metabolism, ambrisentan exposure and peak concentration (Cmax) were similar after the first dose and at steady-state. Clarithromycin increased the area under the plasma concentration-time curve of ambrisentan by 41 % and Cmax by 27 % (n = 10, both p < 0.05). No contribution of SLCO1B1*15 to the extent of this interaction was observed. CONCLUSIONS: Clarithromycin increased ambrisentan exposure to a similar extent to ketoconazole, namely, clinically minor and likely irrelevant.
    European Journal of Clinical Pharmacology 06/2013; · 2.74 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Phase I and II drug metabolizing enzymes (DME) and drug transporters are involved in the absorption, distribution, metabolism as well as elimination of many therapeutic agents, toxins and various pollutants. Presence of genetic polymorphisms in genes encoding these proteins has been associated with marked inter-individual variability in their activity that could result in variation in drug response, toxicity as well as in disease predisposition. The emergent field pharmacogenetics and pharmacogenomics (PGx) is a promising discipline, as it predicts disease risk, selection of proper medication with regard to response and toxicity, and appropriate drug dosage guidance based on an individual's genetic make-up. Consequently, genetic variations are essential to understand the ethnic differences in disease occurrence, development, prognosis, therapeutic response and toxicity. For that reason, it is necessary to establish the normative frequency of these genes in a particular population before unraveling the genotype-phenotype associations. Although a fair amount of allele frequency data are available in Indian populations, the existing pharmacogenetic data have not been compiled into a database. This review was intended to compile the normative frequency distribution of the variants of genes encoding DMEs (CYP450s, TPMT, GSTs, COMT, SULT1A1, NAT2 and UGTs) and transporter proteins (MDR1, OCT1 and SLCO1B1) with Indian perspective.
    The Indian Journal of Medical Research 01/2014; 139(1):27-65. · 2.06 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Organic anion transporter polypeptide 1B1 (OATP1B1) encoded by solute carrier organic transporter 1B1 (SLCO1B1) gene; a transporter involved in the uptake of drugs and endogenous compounds is present in hepatocyte sinusoidal membrane. Aim of this study was to investigate the frequencies of functionally significant SNPs (388A>G and 521T>C) and their haplotypes in 6 ethnic groups of Pakistani population through the development of rapid and efficient Tetra amplification refractory mutation system (T. ARMS) genotyping assay.
    Iranian Journal of Basic Medical Science 01/2014; · 0.24 Impact Factor


Available from
Jun 2, 2014