Evidence map›Paper›PMID 28332727›Full record

ArticleJournal of clinical laboratory analysis2018

Protective BCL11A and HBS1L-MYB polymorphisms in a cohort of 102 Congolese patients suffering from sickle cell anemia.

Tite Minga Mikobi, Prosper Tshilobo Lukusa, Michel Ntetani Aloni, Aimé Zola Lumaka, Didine Kinkodi Kaba, Koenraad Devriendt, Gert Matthijs, Jean Marie Mbuyi Muamba, Valérie Race

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Detection of BCL11A and HBS1L-MYB Genotypes in Sickle Cell Anemia.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2020
    Article
  4. Article
  5. Article
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

9 authors at 2 institutions in 2 countries.

Tite Minga MikobiCenter for Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Prosper Tshilobo LukusaCenter for Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Michel Ntetani AloniDivision of Hemato-oncology and Nephrology, Department of Pediatrics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo.ORCID http://orcid.org/0000-0002-7479-1170
Aimé Zola LumakaCenter for Human Genetics, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Didine Kinkodi KabaDivision of Biostatistics and Epidemiology, School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Koenraad DevriendtCenter for Human Genetics, Katholieke Universiteit Leuven, Leuven, Belgium.
Gert MatthijsCenter for Human Genetics, Katholieke Universiteit Leuven, Leuven, Belgium.
Jean Marie Mbuyi MuambaDivision of Hemato-Immuno-Rheumatology, Department of Internal Medicine, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo.
Valérie RaceCenter for Human Genetics, Katholieke Universiteit Leuven, Leuven, Belgium.
University of Kinshasa · CDKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate the distribution of selected BCL11A and HMIP polymorphisms (SNP's), and to assess the correlation with HPFH in a cohort of sickle cell patients.

methodsA preliminary cross-sectional study was conducted in 102 patients. Group 1 was composed of patients with HPFH and Group 2 consisted of patients without HbF. We assessed 8 SNPs previously associated with HPFH in cohorts genetically close to the Congolese population. Observed frequencies were compared to expected frequencies.

resultsIn the group 1, at rs7606173, the observed frequency for the genotype GG was significantly higher and the genotype GC was significantly lower than their respective expected frequencies. At rs9399137, the observed frequency of the genotype TT was significantly lower than expected. Conversely, the observed frequency of the genotype TC was significantly higher than expected. The observed frequency of the genotype TT at rs11886868 was significantly lower than the expected whereas the frequency of the genotype TC was significantly higher than observed. The lowest HbF level was recorded in patients with genotype CC at rs11886868.

conclusionIn this preliminary study, the results demonstrate that alleles of some of the 8 studied SNPs are not randomly distributed among patients with or without HPFH in this cohort.

Indexed as

AdolescentAdultAnemia, Sickle CellCarrier ProteinsChildCross-Sectional StudiesDemocratic Republic of the CongoDNA, IntergenicFetal HemoglobinGene FrequencyGenotypeGTP-Binding ProteinsHSP70 Heat-Shock ProteinsHumansNuclear ProteinsPeptide Elongation FactorsBCL11A protein, humanCarrier ProteinsDNA, IntergenicFetal HemoglobinGTP-Binding ProteinsHBS1L protein, humanHSP70 Heat-Shock ProteinsNuclear ProteinsPeptide Elongation FactorsProto-Oncogene Proteins c-mybRepressor ProteinsAfricaBantu populationBCL11ADemocratic Republic of CongoHBS1L-MYBKinshasapolymorphismsickle cell anemiasteady state

Identifiers

PMID28332727
PMCPMC6817165
OpenAlexW2598426429

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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.