Evidence map›Paper›PMID 29551892›Full record

ArticleClinical interventions in aging2018

Type 2 diabetes mellitus: distribution of genetic markers in Kazakh population.

Nurgul Sikhayeva, Yerkebulan Talzhanov, Aisha Iskakova, Jarkyn Dzharmukhanov, Raushan Nugmanova, Elena Zholdybaeva, Erlan Ramanculov

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Liver Cancer Incidence in Kazakhstan: Fifteen-Year Retrospective Study.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  6. Article
  7. Article
  8. Association of polymorphism genesBiomedical reports · 2020
    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

7 authors at 2 institutions in 1 country.

Nurgul SikhayevaNational Scientific Laboratory of Biotechnology, National Center for Biotechnology, Astana, Kazakhstan.
Yerkebulan TalzhanovNational Scientific Laboratory of Biotechnology, National Center for Biotechnology, Astana, Kazakhstan.
Aisha IskakovaNational Scientific Laboratory of Biotechnology, National Center for Biotechnology, Astana, Kazakhstan.
Jarkyn DzharmukhanovNational Scientific Laboratory of Biotechnology, National Center for Biotechnology, Astana, Kazakhstan.
Raushan NugmanovaNational Scientific Laboratory of Biotechnology, National Center for Biotechnology, Astana, Kazakhstan.
Elena ZholdybaevaNational Scientific Laboratory of Biotechnology, National Center for Biotechnology, Astana, Kazakhstan.
Erlan RamanculovNational Scientific Laboratory of Biotechnology, National Center for Biotechnology, Astana, Kazakhstan.
National Center for Biotechnology · KZL. N. Gumilyov Eurasian National University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEthnic differences exist in the frequencies of genetic variations that contribute to the risk of common disease. This study aimed to analyse the distribution of several genes, previously associated with susceptibility to type 2 diabetes and obesity-related phenotypes, in a Kazakh population.

methodsA total of 966 individuals belonging to the Kazakh ethnicity were recruited from an outpatient clinic. We genotyped 41 common single nucleotide polymorphisms (SNPs) previously associated with type 2 diabetes in other ethnic groups and 31 of these were in Hardy-Weinberg equilibrium. The obtained allele frequencies were further compared to publicly available data from other ethnic populations. Allele frequencies for other (compared) populations were pooled from the haplotype map (HapMap) database. Principal component analysis (PCA), cluster analysis, and multidimensional scaling (MDS) were used for the analysis of genetic relationship between the populations.

resultsComparative analysis of allele frequencies of the studied SNPs showed significant differentiation among the studied populations. The Kazakh population was grouped with Asian populations according to the cluster analysis and with the Caucasian populations according to PCA. According to MDS, results of the current study show that the Kazakh population holds an intermediate position between Caucasian and Asian populations.

conclusionA high percentage of population differentiation was observed between Kazakh and world populations. The Kazakh population was clustered with Caucasian populations, and this result may indicate a significant Caucasian component in the Kazakh gene pool.

Indexed as

Genetics, PopulationAdultDiabetes Mellitus, Type 2EthnicityFemaleGene FrequencyGenetic MarkersGenetic Predisposition to DiseaseGenotypeHaplotypesHapMap ProjectHumansKazakhstanMaleMiddle AgedObesityGenetic MarkersKazakh populationOpenArraysingle-nucleotide polymorphismtype 2 diabetes

Identifiers

PMID29551892
PMCPMC5842777
OpenAlexW2793873992

What OpenQuestion holds

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LicenceCC BY-NC
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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.