Skip to main content

Pharmacogenetic analysis of inter-ethnic variability in the uptake transporter SLCO1B1 gene in Colombian, Mozambican, and Portuguese populations



Statin-induced myopathy is reported to be associated with the solute carrier organic anion transporter family member 1B1 gene single nucleotide polymorphism, c.521 T > C. There is no epidemiologic data on this gene polymorphism in several countries. Therefore, this study aimed at assessing the genotype and allele frequencies of the gene variant in three countries.


This study involved healthy individuals from Colombia, Mozambique, and Portugal. Genomic DNA was isolated from blood samples using the Qiamp DNA Extraction Kit (Qiagen). The isolated DNA was genotyped using novel Polymerase Chain Reaction—Restriction Fragment Length Polymorphism. Microstat and GraphPad QuickCal software were used for the Chi-square test and the evaluation of Hardy–Weinberg equilibrium respectively.


A total of 181 individuals’ blood samples were analyzed. Overall, the TT (74.0%) genotype was the highest and the CC (7.8%) was the lowest. Country wise genotypic frequencies were Colombia 47(70.2%) TT, 12(17.9%) TC and 8(11.9%) CC; Mozambique 47(88.7%) TT, 5(9.4%) TC, and 1(1.9%) CC; and Portugal 40(65.6%) TT, 16(26.2%) TC, and 5(8.2%) CC. The reference (T) allele was highest among Mozambicans (93.4%) compared to Colombians (79.1%) and Portuguese (78.7%). Mozambicans showed statistically significant genotypic and allelic frequency differences compared to Colombians (p < 0.01) and Portuguese (p < 0.01).


Overall and country-wise, CC genotype was less frequent and it is relatively high for Colombians and Portuguese populations. This finding may imply statins risk–benefit variability associated with CC genotype among these populations that needs further understanding.

Peer Review reports


Pharmacogenetics is the study of inter-individual variations in DNA sequence related to drug response [1]. Polymorphism in drug transporters plays a major role in inter-individual differences in drug kinetics. Functional changes in drug transporters can affect the pharmacokinetics, subsequent pharmacodynamics, and toxicological effects of drugs. It can also affect susceptibility to certain diseases [2, 3]. Although detailed information on genetic variability in drug transporter genes is available, our knowledge of identifying those genetic variants that have functional significance and how they contribute to inter-individual variability in drug response is still limited.

Numerous studies have shown that polymorphisms in transporter genes can significantly alter the pharmacokinetics of statins. The risk of statin-induced myopathy is raised by a common genetic variation of the organic anion-transporting polypeptide 1B1 (OATP 1B1), which is encoded by the gene SLCO1B1. This protein is a member of the solute carrier organic anion transporter family. Similar to this, genetically compromised ABC G2 (ATP-binding cassette G2) transporter efflux activity causes a significant rise in systemic statin exposure. It’s significant to note that the effects of these genetic polymorphisms vary depending on the statin used. This gives the individualization of lipid-lowering therapy a rational foundation [2,3,4].

The OATP1B1 is a genetically polymorphic influx transporter expressed on the sinusoidal membrane of human hepatocytes, and it mediates the hepatic uptake of many endogenous compounds and xenobiotics. Studies have demonstrated that OATP1B1 plays a major, clinically important role in the hepatic uptake of many drugs [4].

The SLCO1B1 gene is located on chromosome 12 (gene locus 12p12). Many single nucleotide polymorphisms (SNPs), both nonsynonymous and synonymous, have been discovered in the SLCO1B1 gene, and several of these affect transport function in vitro and in vivo. Most of the SNPs associated with altered transport function span the transmembrane domains or extracellular loop 5 of OATP1B1 [4, 5].

Considering that these transporters play a key role in the distribution of many drugs and in the transport of endogenous compounds, such as cholesterol and bile acids, inter-individual variability in disease risk and drug response may be explained by the differential prevalence of genetic variants. In spite of its relevance, some populations have not yet been characterized for the SNP (c.521 T > C) rs4149056 of the SLCO1B1 gene.

In the present study, we examined the allelic frequencies of the SNP in the SLCO1B1 gene that may play an important role in drug disposition, in populations from three different ethnic and geographic origins. Namely, native African (Mozambican), Latin American (Colombian), and European (Portuguese) populations which are not frequently the target of pharmacogenetic studies, and this is an important issue when considering the bridging of drug dosages and regimens used in different populations.

Materials and methods

A DNA template was isolated from blood samples obtained from unrelated, healthy populations of Colombia (n = 67), Mozambique from Maputo City (n = 53), and Portugal (Caucasian) (n = 61) from Southern Portugal, recruited from local medical check-ups. Colombian subjects were from the North-West region, mainly from Antioquia and Chocó departments. One blood sample was obtained from each participant for DNA extraction. Blood sampling and genomic DNA extraction were carried out by taking a 10-mL blood sample from each participant in a tube containing ethylenediaminetetraacetic acid (EDTA) and stored at -20 °C prior to DNA extraction. Genomic DNA was extracted with standard methods (QIAamp DNA Blood Mini Kit; Qiagen, Hilden, Germany). Alternatively, in cases when small amounts of blood were available, DNA was prepared using a quick protocol [5].


The specific polymorphic variant of the SLCO1B1 gene, the c.521 T > C SNP analyzed in this study (GenBank accession no. NC_000012.10), was performed by a polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) assay. PCR reaction volume was 25µL containing 1 µM of each assay-specific primers, 0.3 mM deoxynucleotide triphosphate (dNTPs) (Promega), 3 mM MgCl2 (Promega), 1.5 U Taq polymerase enzyme (Promega), 1 × PCR GoTaq Buffer Mix, water, and ≈ 1 µg genomic DNA. The PCR included 40 cycles at 94 °C for denaturation of the genomic DNA and activation of the Taq Polymerase enzyme, 55 °C for annealing of the primers, and 72 °C for extension.

The PCR assay was performed using Tpersonal Thermocycler (Biometra), and finally, electrophoretic separation on 2% (W/V) agarose gel, with a running time of 90 min at 80 V in 1X TAE buffer (Tris–acetate-EDTA buffer; 40 mM Tris, 20 mM acetate, 1 mM EDTA), and visualization of the gel-separated PCR products with Green Safe (NZYTech) staining under UV light (AlphaImager, AlphaInnotech).

Primer design

Primer-BLAST tools were used for primer design [6] the sequences deposited into the GenBank ( to design pairs of allele-specific forward primers that overlap with the SLCO1B1 allelic variant and its corresponding single reverse primers. The primers employed in performing the PCR for the analyzed SNP, c.521 T > C, were the forward primer (5’ > 3’); GTTAAATTTGTAATAGAAATGC, and the reverse primer (5’ > 3’); GTAGACAAAGGGAAAGTGATCATA.

Digestion of the PCR product

Ten μL of PCR products were digested with Bsp1286I (Sdul) restriction enzyme (Thermo Scientific), at 37 °C for 2 h. Digested PCR products were separated by electrophoresis using a 2% agarose gel stained with Green Safe and visualized by a UV transilluminator.

In the 260-base pair (bp) long PCR product of the c.521 T > C SNP obtained from TT homozygotes, the recognition site of the enzyme was missing, resulting in no digestion. In the samples with CC genotype the enzyme recognition site was present, being therefore digested into 153-bp and 107-bp long fragments. In samples with the TC genotype, a mixed pattern was observed, with 153 -bp, 107-bp and 260-bp fragments.

The extracted DNA from a blood sample is amplified using the PCR process followed by electrophoretic separation and visualization of the stained gel-separated DNA fragments under UV light.

Statistical analysis

Statistical analyses were performed by Microstat (Ecosoft Inc, Indianapolis, IN, USA) and GraphPad Quick Cal ( software. Statistical significance was considered at p < 0.05. And the evaluation of Hardy–Weinberg equilibrium was done on the analyzed populations using chi-square test [7].


A total of 181 samples were genotyped for the SLCO1B1 gene variant, c.521 T > C (V174A) rs4149056, from subjects of different ethnic groups, from Colombian (n = 67), Mozambican (n = 53) and Portuguese (n = 61) populations (Table 1).

Table 1 The genotypic and allelic distribution of the SLCO1B1 exonic polymorphism c.521 T > C (V174A) rs4149056 in healthy Colombian, Mozambican, and Portuguese populations

The frequency of homozygote T genotype was observed to be comparable (p = 1.000) in Portuguese (65.6%) and Colombian (70.2%), while the Mozambican population showed the highest frequency among the three populations (88.7%), differing significantly from both the Portuguese (p < 0.01) and Colombian (p < 0.01).The frequency of homozygote C genotype was generally low in all populations. Particularly, the lowest (1.9%) was found in Mozambicans. Whereas the frequency of heterozygous TC genotype was found to be similar/the difference was not statistically significant (p > 0.05) in Portuguese (26.2%) and Colombian (17.9%).

The percent allelic frequency of T and C in the c.521 T > C (rs4149056) variant was similar in both Colombian and Portuguese populations. The prevalence of the variant allele that leads to reduced function, corresponds to circa 20% of the analyzed alleles in Portugal (20.9%) and Colombia (21.3%), being lower in Mozambique (6.6%).

Hardy–Weinberg equilibrium

To evaluate if the studied populations obey the Hardy–Weinberg equilibrium, the expected genotypic frequencies were calculated from the allelic frequencies determined experimentally, and then compared to the observed genotypic frequencies. Table 2 shows the results of this analysis for the populations characterized in this study.

Table 2 Hardy – Weinberg Equilibrium test of SLCO1B1 exonic polymorphism; c.521 T > C (V174A) rs4149056 in healthy Colombian, Mozambicans, and Portuguese populations

The two-tailed P-value for the Colombians is less than 0.05, which indicates that there is a significant difference between the observed and expected values and therefore the analyzed sample of the Colombian population doesn’t follow Hardy–Weinberg equilibrium. Whereas for Mozambique and Portugal populations, the difference between the expected and observed genotypic frequencies is not significant (p > 0.05) and the analyzed sample of the two populations follows Hardy–Weinberg equilibrium.

Comparison of the populations analysed

Alleles distribution for the c.521 T > C SNP in the different populations were compared using a 2 × 2 table of contingency, (Table 3).

Table 3 Comparison of the allele distribution observed in Colombian, Mozambican and Portugal populations by their two-tailed P-value

From the contingency table, the allele frequencies observed in Colombians are different from the ones observed in Mozambicans, and these differences are statistically significant (p < 0.05). However, allele frequencies observed in Colombian are similar to those found in Portuguese, since the observed differences are not statistically significant (p > 0.05).


In our study, the most dominant genotype in all populations under study was homozygous c.521TT. Individuals with the homozygote variant genotype c.521CC were high among Colombians followed by Portuguese and Mozambicans.

The overall C allele frequency observed in Colombians (20.9%) is different from the ones observed in Mozambicans (6.6%) and is similar to those found in Portuguese (21.3%). This finding is similar with a population pharmacogenomics study done in the same country, specifically in the Antioquia populations where the C allele of the rs4149056 c.521 T > C SNP is found in higher frequency, showing a negative correlation with African ancestry (5%) and a positive correlation with European ancestry (18%) (29).

The highest frequency of the reference T allele found in Mozambique (93.4%) is in agreement with a previous study in another African ancestry, Tanzanians (97%) [8], Indian-Singapore (94%) [9], and Malays-Singapore (89%) [9]. However, Colombian and Portuguese subjects in this study have relatively lower T allelic frequency compared with reports from Tanzania [8], Indian-Singapore and Malays-Singapore [9], Europeans: Germany (83%) [8] Roma (83%) [10], Hungarian (81%) [10] Austrian (82.3%) [11], and Finnish populations (80%) [12].

In this study, the Colombian population was not found to follow the Hardy–Weinberg equilibrium. This deviation may occur due to a variety of other causes, such as migration, mutation, natural selection, genetic drift, gene flow, nonrandom mating (inbreeding), or assortative mating [13,14,15]. It may also mean that evolution has occurred within the population. Because all of these disruptive forces commonly occur in nature, real populations rarely exist under the rigid conditions of the HWE (absence of selection, migration, mutation, etc.). Therefore, it may not affect the above comparisons, rather, genetic discrepancies in nature can be measured as changes from this equilibrium state.

Our finding is in agreement with previous reports that indicated population specificity for SLCO1B1 gene SNPs [16]. Genetic variants of influx transporters, including the SLCO1B1 gene, are reported to affect statin efficacy and safety [16,17,18,19,20,21,22]. Recent knowledge suggests that the SLCO1B1 polymorphisms may have particularly important effects on the pharmacokinetic profile of statin drugs (e.g., Atorvastatin) and most studies are mainly focused on the influence of the c.521 T > C polymorphism. One study reported an altered pharmacokinetic profile, including high AUC and Cmax in atorvastatin in individuals with CC genotype compared to the other genotype group of the SNP [19]. In another study, a significantly larger mean AUC 0-48 h was observed in subjects with CC than in subjects with TT and TC genotypes. These findings may imply that reducing OATP1B1 transporter function could reduce atorvastatin hepatic clearance [20]. There are also additional clinical studies that have shown individuals with C allele had increased plasma concentrations of OATP1B1 substrates including pravastatin and repaglinide compared to individuals with T allele [18,19,20,21].

Elevated statin concentration associated with the CC and/or TC allele is also reported to cause myopathy, elevated baseline cholesterol synthesis rate, bile acid synthesis, and cardiovascular risks [22, 23]. Basolateral OATP transporters are thought to be mediators of approximately 20% of the hepatic uptake of bile acids [24]. The bile acid concentration in the liver could be decreased as a result of impaired activity of OATP1B1 by limiting the access of bile acids from the portal blood. This functional link between cholesterol homeostasis and OATP1B1 could be through bile acid homeostasis, as the regulation of bile acid synthesis and cholesterol homeostasis are tightly linked.

Individuals carrying the CC (17-fold) and TC (5-fold) genotypes have a higher risk of developing myopathy than individuals with the TT genotype [25]. The relatively high frequencies of low-activity variants (CC and TC) in European ancestry may imply a higher risk of statin-induced myopathy [26].

Therefore, the identification and characterization of these genetic variations may help in the development of SLCO1B1 genotype-based prescriptions or more personalized drug therapies to achieve the benefits of statin therapy more safely and effectively.

Overall, evaluation of SNP frequencies among different populations with variable ethnic backgrounds is useful as a tool to optimize therapeutics according to variable predicted pharmacokinetics. SLCO1B1 genotyping may have clinical value for closer monitoring of patients on statin medication. The results obtained in this study may contribute to variations in statin safety profiles within the study population.

To the best of our knowledge, this is the first study in those populations; however, the study population included may not represent ethnic variation within a country and the finding should be interpreted with caution. Investigating haplotypes of the SNP was beyond the scope of our study.


The CC genotype was less frequent, and it is relatively high for Colombian and Portuguese populations. Our result may indicate disparity in statin safety profiles among the study population. This requires further understanding with more population and geographical coverage.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. The sequences used for the primer design are deposited at the GenBank link; And the GenBank accession number of the specific polymorphic variant of the SLCO1B1 gene, c.521 T > C SNP analyzed in this study, is NC_000012.10.



3’-Untranslated region


ATP-binding cassette


Area under the concentration–time curve

AUC0-t :

AUC from time 0 to t hours


Base pair


Coding deoxyribonucleic acid



Cmax :

Peak plasma concentration


Deoxyribonucleic acid


Deoxynucleotide triphosphate

MRTexpo :

Mean residence time


National Center for Biotechnology Information


Organic anion transporter


Organic anion transporting polypeptide 1B1


Polymerase chain reaction


Restriction fragment length polymorphism


Solute carrier


Solute carrier organic anion transporter family member 1B1


Single nucleotide polymorphism


Tris-Acetate-EDTA Buffer

Tmax :

Time to peak plasma concentration


  1. European Medicines Agency. Terminology in pharmacogenetics. EMA; 2002. Available at: Accessed 14 Sept 2019.

  2. Ho R, Kim R. Transporters and drug therapy: implications for drug disposition and disease. Clin Pharmacol Ther. 2005;78:260–77.

    Article  CAS  PubMed  Google Scholar 

  3. Niemi M. Transporter pharmacogenetics and statin toxicity. Clin Pharmacol Ther. 2010;87(1):130–3.

    Article  CAS  PubMed  Google Scholar 

  4. Tirona R, Leake B, Merino G, Kim R. Polymorphisms in OATP-C: identification of multiple allelic variants associated with altered transport activity among European- and African-Americans. J Biol Chem. 2001;276:35669–75.

    Article  CAS  PubMed  Google Scholar 

  5. Rudbeck L, Dissing J. Rapid, simple alkaline extraction of human genomic DNA from whole blood, buccal epithelial cells, semen and forensic stains for PCR. Biotechniques. 1998;25:588–92.

    Article  CAS  PubMed  Google Scholar 

  6. Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, Madden T. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics. 2012;13:134.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Hardy G. Mendelian proportions in a mixed population. Science. 1908;28(706):49–50.

    Article  CAS  PubMed  Google Scholar 

  8. Saber-Ayad M, Manzoor S, El-Serafi A, Mahmoud I, Abusnana S, Sulaiman N. Statin-induced myopathy SLCO1B1 521T>C is associated with prediabetes, high body mass index and normal lipid profile in Emirati population. Diabetes Res Clin Pract. 2018;139:272–7.

    Article  CAS  PubMed  Google Scholar 

  9. Melo M, Balanco L, Branco C, Mota-Vieira L. Genetic variation in key genes associated with statin therapy in the Azores Islands (Portugal) healthy population. Ann Hum Biol. 2015;42(3):283–9.

    Article  PubMed  Google Scholar 

  10. Nagy A, Csilla S, Renata S, et al. Marked differences in frequencies of statin therapy relevant SLCO1B1 variants and haplotypes between Roma and Hungarian populations. Genetics. 2015;16(108):108.

    PubMed  PubMed Central  Google Scholar 

  11. Enko D, Harringer S, Oberkanins C, Pühringer H, Halwachs-Baumann GKG. SLCO1B1 c.521T>C genotyping in the Austrian population using 2 commercial real-time polymerase chain reaction assays: an implementation study. Pharmacology. 2018;102:88–90.

    Article  CAS  PubMed  Google Scholar 

  12. Santos P, Gagliardi A, Miname M, et al. SLCO1B1 haplotypes are not associated with atorvastatin-induced myalgia in Brazilian patients with familial hypercholesterolemia. Eur J Clin Pharmacol. 2012;68(3):273–9.

    Article  CAS  PubMed  Google Scholar 

  13. Abramovs N, Brass A, Tassabehji M. Hardy-Weinberg equilibrium in the large scale genomic sequencing era. Front Genet. 2020;11:210.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Wang J, Shete S. Testing departure from Hardy-Weinberg proportions. Methods Mol Biol. 2012;850:77–102.

    Article  PubMed  Google Scholar 

  15. Graffelman J, Jain D, Weir B. A genome-wide study of Hardy-Weinberg equilibrium with next generation sequence data. Hum Genet. 2017;136(6):727–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Nagar SD, Moreno AM, Norris ET, Rishishwar L, Conley AB, et al. Population pharmacogenomics for precision public health in Colombia. Front Genet. 2019;10:241.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Daka A, Dimovski A, Kapedanovska A, et al. Effects of single nucleotide polymorphisms and haplotypes of the SLCO1B1 gene on the pharmacokinetic profile of atorvastatin in healthy Macedonian volunteers. Pharmazie. 2015;70:480–8.

    CAS  PubMed  Google Scholar 

  18. Pasanen MK, Fredrikson H, Neuvonen PJ, Niemi M. Different effects of SLCO1B1 polymorphism on the pharmacokinetics of atorvastatin and rosuvastatin. Clin Pharmacol Ther. 2007;82:726–33.

    Article  CAS  PubMed  Google Scholar 

  19. Aquilante C, Bushman L, Knutsen S, Burt L, Rome L, Kosmiski L. Influence of SLCO1B1 and CYP2C8 gene polymorphisms on rosiglitazone pharmacokinetics in healthy volunteers. Hum Genomics. 2008;3:7–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Kivistö KT, Niemi M. Influence of drug transporter polymorphisms on pravastatin pharmacokinetics in humans. Pharm Res. 2007;24(2):239–47.

    Article  PubMed  Google Scholar 

  21. Niemi M, Backman J, Kajosaari L, et al. Polymorphic organic anion transporting polypeptide 1B1 is a major determinant of repaglinide pharmacokinetics. Clin Pharmacol Ther. 2005;77:468–78.

    Article  CAS  PubMed  Google Scholar 

  22. Kalliokoski A, Neuvonen M, Neuvonen P, Niemi M. Different effects of SLCO1B1 polymorphism on the pharmacokinetics and pharmacodynamics of repaglinide and nateglinide. J Clin Pharmacol. 2008;48:311–21.

    Article  CAS  PubMed  Google Scholar 

  23. Voora D, Shah S, Spasojevic I, et al. The SLCO1B1*5 genetic variant is associated with statin-induced side effects. J Am Coll Cardiol. 2009;54(17):1609–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Pasanen M, Neuvonen P, Niemi M. Global analysis of genetic variation in SLCO1B1. Pharmacogenomics. 2008;9:19–33.

    Article  CAS  PubMed  Google Scholar 

  25. SNPedia: a wiki supporting personal genome annotation, interpretation and analysis. rs4149056. SNPedia. 2019. Available at:

  26. Ho R, Choi L, Lee W, et al. Effect of drug transporter genotypes on pravastatin disposition in European- and African-American participants. Pharmacogenet Genomics. 2007;17:647–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Cavaco I, Pedro Gil J, Gil-Berglund E, et al. CYP3A4 and MDR1 alleles in a Portuguese population. Clin Chem Lab Med. 2003;41(10):1345–50.

    Article  CAS  PubMed  Google Scholar 

  28. Cavaco I, Reis R, Pedro Gil J, et al. CYP3A4*1B and NAT2*14 alleles in a native African population. Clin Chem Lab Med. 2003;41(4):606–9.

    Article  CAS  PubMed  Google Scholar 

  29. Fernandes N, Figueiredo P, do Rosário VE, et al. Analysis of sulphadoxine/pyrimethamine resistance-conferring mutations of Plasmodium falciparum from Mozambique reveals the absence of the dihydrofolate reductase 164L mutant. Malar J. 2007;6:35.

    Article  PubMed  PubMed Central  Google Scholar 

Download references


The authors wish to thank the study participants, data collectors and study hospital administrators who contributed to this study. The authors thank Professor Daniel Seifu for his valuable comments to the paper. EMMC in ChIR of the European Commission, and Portuguese national fund.


The study was part of MSc study to the first author funded by the Erasmus program of the European Union, EMMC ChIR. It has also received a grant from Portuguese national funds from the FCT (Foundation for Science and Technology) through projects UID/Multi/04326/2019 and UID/BIM/04773/2013 and was developed in the context of the Network for Research in Tropical Health in CPLP countries and the Iberoamerican Network of Pharmacogenetics and Pharmacogenomics (CYTED).

Author information

Authors and Affiliations



All authors have accepted responsibility for the entire content of this manuscript and approved its submission. This work was carried out in collaboration among the authors. MHN carried out all kinds of experimental parts and sta-tistical analysis, managed the literature searches, wrote the protocol, and wrote the first draft of the manuscript. VR designed the study, supported protocol writing, and revised the manuscript. DFB revised the manuscript, gave final approval of the version to be published, and agreed on the journal to which the article has been submitted. All au-thors read and approved the final manuscript for publication and agreed to be accountable for all aspects of the work.

Corresponding author

Correspondence to Mulata Haile Nega.

Ethics declarations

Ethics approval and consent to participate

Informed consent was obtained from all individuals included in this study. Research involving human subjects complied with all relevant national regulations and institutional policies, is in accordance with the tenets of the Helsinki Declaration promulgated in 1964 (as revised in 2013), and has been reviewed and approved by the National Committee on Bioethics for Health, Mozambique- (Comité Nacional de Bioética para a Saúde, Mozambique”, and by the institutional review board of the Laboratory of Molecular Toxicology, CMQA, Faculty of Sciences and Technology, University of Algarve, Faro, Portugal, which were also described elsewhere [27,28,29].

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nega, M.H., Berhe, D.F. & Ribeiro, V. Pharmacogenetic analysis of inter-ethnic variability in the uptake transporter SLCO1B1 gene in Colombian, Mozambican, and Portuguese populations. BMC Med Genomics 16, 207 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: