Evidence map›Paper›PMID 28738793›Full record

ArticleBMC medical genetics2017

Association between 28 single nucleotide polymorphisms and type 2 diabetes mellitus in the Kazakh population: a case-control study.

Nurgul Sikhayeva, Aisha Iskakova, Nuria Saigi-Morgui, Elena Zholdybaeva, Chin-Bin Eap, Erlan Ramanculov

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  16. Genetic, Functional, and Immunological Study of ZnT8 in Diabetes.International journal of endocrinology · 2019
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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 4 institutions in 2 countries.

Nurgul SikhayevaNational Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan. ksnurgul@gmail.com.ORCID 0000-0001-6419-9483
Aisha IskakovaNational Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan.
Nuria Saigi-MorguiUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, 1008, Prilly-Lausanne, Switzerland.
Elena ZholdybaevaNational Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan.
Chin-Bin EapUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, 1008, Prilly-Lausanne, Switzerland.
Erlan RamanculovNational Center for Biotechnology, 13/5 Korgalzhyn str, Astana, 010000, Kazakhstan.
L. N. Gumilyov Eurasian National University · KZNational Center for Biotechnology · KZUniversity of Geneva · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated the associations between single nucleotide polymorphisms and different clinical parameters related to type 2 diabetes mellitus (T2DM), obesity risk, and metabolic syndrome (MS) in a Kazakh cohort.

methodsA total of 1336 subjects, including 408 T2DM patients and 928 control subjects, were recruited from an outpatient clinic and genotyped for 32 polymorphisms previously associated with T2DM and obesity-related phenotypes in other ethnic groups. For association studies, the chi-squared test or Fisher's exact test for binomial variables were used. Logistic regression was conducted to explore associations between the studied SNPs and the risk of developing T2DM, obesity, and MS, after adjustments for age and sex.

resultsAfter excluding four SNPs due to Hardy-Weinberg disequilibrium, significant associations in age-matched cohorts were found betweenT2DM and the following SNPs: rs9939609 (FTO), rs13266634 (SLC30A8), rs7961581 (TSPAN8/LGR5), and rs1799883 (FABP2). In addition, examination of general unmatched T2DM and control cohorts revealed significant associations between T2DM and SNPsrs1799883 (FABP2) and rs9939609 (FTO). Furthermore, polymorphisms in the FTO gene were associated with increased obesity risk, whereas polymorphisms in the FTO and FABP2 genes were also associated with the risk of developing MS in general unmatched cohorts.

conclusionWe confirmed associations between polymorphisms within the SLC30A8, TSPAN8/LGR5, FABP2, and FTO genes and susceptibility to T2DM in a Kazakh cohort, and revealed significant associations with anthropometric and metabolic traits. In particular, FTO and FABP2 gene polymorphisms were significantly associated with susceptibility to MS and obesity in this cohort.

Indexed as

AdolescentAdultAlpha-Ketoglutarate-Dependent Dioxygenase FTOAsian PeopleDiabetes Mellitus, Type 2EthnicityFatty Acid-Binding ProteinsFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansKazakhstanMaleMetabolic SyndromeMiddle AgedObesityAlpha-Ketoglutarate-Dependent Dioxygenase FTOFABP2 protein, humanFatty Acid-Binding ProteinsFTO protein, humanGenetic variantsKazakh cohortMetabolic syndromeObesityType 2 diabetes mellitus

Identifiers

PMID28738793
PMCPMC5525290
OpenAlexW2737586482

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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.