Evidence map›Paper›PMID 20563854›Full record

ArticleMolecular biology reports2011

GSTT1 and GSTM1 gene polymorphisms in European and African populations.

Sara Piacentini, Renato Polimanti, Flavia Porreca, Cristina Martínez-Labarga, Gian Franco De Stefano, Maria Fuciarelli

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In one paragraph

Article in Molecular biology reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 1 institution in 1 country.

Sara PiacentiniDepartment of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133, Rome, Italy.
Renato Polimanti
Flavia Porreca
Cristina Martínez-Labarga
Gian Franco De Stefano
Maria Fuciarelli
University of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glutathione S-transferases (GSTs) are a superfamily of detoxificant enzymes. Pharmacogenomic studies have revealed interethnic differences in GST allelic frequencies. This study is focused on GSTT1 (gene deletion, rs17850155, rs2234953, and rs11550605) and GSTM1 (gene deletion) gene frequency distributions in two population samples of Europe origin (Italy, n = 120; Spain, n = 94) and two population samples of Africa origin (Cameroon, n = 126; Ethiopia, n = 153). Detection of GSTT1 and GSTM1 null genotypes was performed by multiplex PCR analysis, while the other GSTT1 gene polymorphisms were detected using allele specific PCR and sequencing. GSTT1 and GSTM1 null frequencies in the samples analyzed fit with the variability range observed in European and African populations, respectively. The SNP analysis in GSTT1 gene did not highlight any nucleotide substitution in 493 individuals analyzed. The comparisons among GSTM1 and GSTT1 null phenotype frequencies in worldwide populations show different patterns between Asians, Africans, and Europeans. Important insights into the effects of GSTM1 and GSTT1 gene deletions on the pathogenesis of human diseases have been hypothesized. Detailed studies on the geography of GST variants could therefore increase knowledge about the relationship between ethnicity and the prevalence of certain diseases.

Indexed as

Polymorphism, GeneticAfricaAllelesEthnicityEuropeGene DeletionGene FrequencyGenetics, PopulationGenotypeGlutathione TransferaseHumansPharmacogeneticsPhenotypePolymorphism, Single Nucleotideglutathione S-transferase T1Glutathione Transferase

Identifiers

PMID20563854
OpenAlexW1999167018

What OpenQuestion holds

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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.