Evidence map›Paper›PMID 26937418›Full record

ArticleJournal of diabetes and metabolic disorders2015

Candidate gene analysis supports a role for polymorphisms at TCF7L2 as risk factors for type 2 diabetes in Sudan.

Amir T Ibrahim, Ayman Hussain, Mohamed A M Salih, Omima Abdeen Ibrahim, Sarra E Jamieson, Muntaser E Ibrahim, Jenefer M Blackwell, Hiba S Mohamed

Open access · hybridAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

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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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  3. Significant association between insulin-like growth factor 2 mRNA-binding protein 2, interleukin-6 polymorphisms, and type 2 diabetes mellitus.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
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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

8 authors at 3 institutions in 2 countries.

Amir T IbrahimCentral Laboratory, Ministry of Science and Technology, Khartoum, Sudan.
Ayman HussainInstitute of Endemic Disease, University of Khartoum, P. O. Box 102 Khartoum, Sudan.
Mohamed A M SalihCentral Laboratory, Ministry of Science and Technology, Khartoum, Sudan.
Omima Abdeen IbrahimTuti Health Centre, Khartoum, Sudan.
Sarra E JamiesonTelethon Kids Institute, University of Western Australia, Subiaco, Australia.
Muntaser E IbrahimInstitute of Endemic Disease, University of Khartoum, P. O. Box 102 Khartoum, Sudan.
Jenefer M BlackwellTelethon Kids Institute, University of Western Australia, Subiaco, Australia.
Hiba S MohamedInstitute of Endemic Disease, University of Khartoum, P. O. Box 102 Khartoum, Sudan.
University of Khartoum · SDMinistry of Higher Education And Scientific Research · SDUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic susceptibility to type 2 diabetes (T2D) is multifactorial. A growing number of genes have been identified as risk factors for T2D across multiple ethnicities in trans-ancestry meta-analysis of large-scale genome-wide association studies. Few studies have looked at these genes in Sub-Saharan African populations. This study was undertaken to look for associations between T2D and single nucleotide polymorphisms (SNPs) in a number of the top candidate genes in a selected Sudanese population.

methodsA total 240 T2D cases and 128 unrelated healthy control subjects were included in this study. Age, sex, weight and height were recorded, blood pressure and biochemical profiles of glucose and lipids were analysed. Single nucleotide polymorphism (SNP) genotyping was performed using the Sequenom MassARRAY® system. Fourteen SNPs were selected across 7 genes: CAPN10 (rs2975760 and rs5030952), PPARG (rs17036314 and rs1801282), IGF2BP2 (rs4402960 and rs1470579), CDKAL1 (rs9465871), HHEX (rs1111875), TCF7L2 (rs7903146, rs11196205 and rs12255372), and KCNJ11 (rs5215, rs1800467 and rs5219). Allelic and haplotype association analyses were performed under additive models in PLINK. P ≤ 0.007 (=0.05/7 genes) was the P-value required to achieve correction for multiple testing.

resultsA significant genetic association between the SNPs rs7903146 (odds ratio 1.69, 95 % confidence interval 1.21-2.38, P = 0.002) and rs12255372 (odds ratio 1.70, 95 % confidence interval 1.20-2.41, P = 0.003) at TCF7L2 and T2D was found in Sudanese population. These associations were retained after adjusting for age, sex and BMI (e.g. rs7903146: odds ratio 1.70, P adj:age/sex/BMI = 0.005). The strongest haplotype association (odds ratio 2.24; P adj:age/sex/BMI = 0.0003) comprised the two point haplotype T_C across rs7903146 and rs11196205. Stepwise logistic regression demonstrated that SNP rs7903146 added significant main effects to rs11196205 or rs12255372, whereas the reverse was not true, indicating that the main effect for association with T2D in this population is most strongly tagged by SNP rs7903146. Adjusted analyses also provided support for protection from T2D associated with minor alleles at SNPs rs2975760 at CAPN10 (odds ratio 0.44, 95 % confidence interval 0.20-0.97, P adj:age/sex/BMI = 0.042) and rs1111876 at HHEX (odds ratio 0.60, 95 % confidence interval 0.39- 0.93, P adj:age/sex/BMI = 0.022).

conclusionsMultiethnic associations between T2D and SNPs at TCF7L2, CAPN10 and HHEX extend to Sub-Saharan Africa, specifically Sudan.

Indexed as

Genetic association studyGenetic polymorphismSudanType 2 diabetes mellitus

Identifiers

PMID26937418
PMCPMC4774008
OpenAlexW2319726231

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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.