Evidence map›Paper›PMID 37658350›Full record

ArticleBMC medical genomics2023

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

Mulata Haile Nega, Derbew Fikadu Berhe, Vera Ribeiro

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 56% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Mulata Haile NegaDepartment of Medical Biochemistry, School of Medicine, College of Health Sciences, Mekelle University, Mekelle, Ethiopia. hailemulat22@gmail.com.
Derbew Fikadu BerheUniversity of Global Health Equity, Kigali, Rwanda.
Vera RibeiroLaboratory of Pharmacogenomics and Molecular Toxicology, Center for Molecular and Structural Biomedicine (CBME/CCMAR), University of Algarve, Faro, Algarve, Portugal.
Mekelle University · ETUniversity of Algarve · PTUniversity of Global Health Equity · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStatin-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.

methodsThis 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.

resultsA 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).

conclusionsOverall 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.

Indexed as

Hydroxymethylglutaryl-CoA Reductase InhibitorsPharmacogenomic TestingColombiaHumansLiver-Specific Organic Anion Transporter 1Membrane Transport ProteinsMozambiquePortugalHydroxymethylglutaryl-CoA Reductase InhibitorsLiver-Specific Organic Anion Transporter 1Membrane Transport ProteinsSLCO1B1 protein, humanc.521 T > CPolymorphismSLCO1B1SNPStatins

Identifiers

PMID37658350
PMCPMC10474731
OpenAlexW4386349850

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.