Evidence map›Paper›PMID 37816730›Full record

ArticleScientific reports2023

Association between the MTNR1B, HHEX, SLC30A8, and TCF7L2 single nucleotide polymorphisms and cardiometabolic risk profile in a mixed ancestry South African population.

Ndonwi Elvis Ngwa, Don Makwakiwe Matshazi, Glenda Mary Davison, Andre Pascal Kengne, Tandi Edith Matsha

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Ndonwi Elvis NgwaSouth African Medical Research Council/Cape Peninsula University of Technology, Cardio-Metabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Old Science Building, Cape Town, South Africa. ndonwie@cput.ac.za.
Don Makwakiwe MatshaziSouth African Medical Research Council/Cape Peninsula University of Technology, Cardio-Metabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Old Science Building, Cape Town, South Africa.
Glenda Mary DavisonSouth African Medical Research Council/Cape Peninsula University of Technology, Cardio-Metabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Old Science Building, Cape Town, South Africa.
Andre Pascal KengneNon-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa.
Tandi Edith MatshaSouth African Medical Research Council/Cape Peninsula University of Technology, Cardio-Metabolic Health Research Unit, Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Old Science Building, Cape Town, South Africa.
Cape Peninsula University of Technology · ZASouth African Medical Research Council · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphisms of the TCF7L2, HHEX, SLC30A8, MTNR1B, SLC2A2 and GLIS3 genes are well established candidate genes for cardiometabolic diseases (CMDs) across different ethnic populations. We investigated their association with CMDs in a mixed ancestry population of South Africa. rs10830963, rs1111875, rs11920090, rs13266634, rs7034200 and rs7903146 SNPs were genotyped by quantitative real time PCR in 1650 participants and Hardy-Weinberg equilibrium (HWE) analyses performed on the SNPs. Diabetes, obesity, hypertension and cardiometabolic traits were compared across genotypes of SNPs in HWE. Linear and logistic regressions adjusting for age, gender and body mass index were used to determine the risk of T2DM, obesity and hypertension. rs7903146 (p = 0.055), rs1111875 (p = 0.465), rs13266634 (p = 0.828), and rs10830963 (p = 0.158) were in HWE. The rs10830963 recessive genotype was able to predict FPG, insulin and HOMA-IR, while the rs1111875 recessive genotype was able to predict total cholesterol, triglyceride, LDL cholesterol and FPG. The rs7903146 recessive genotype was able to predict SBP and LDL cholesterol. The recessive genotypes of MTNRIB and HHEX SNPs were associated with T2DM traits in the study population and could partially explain the high prevalence of T2DM. Further studies are required to confirm these findings and establish candidate genes in the African population.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2HypertensionCholesterol, LDLGenetic Predisposition to DiseaseGenotypeHomeodomain ProteinsHumansObesityPolymorphism, Single NucleotideReceptor, Melatonin, MT2South AfricaTranscription Factor 7-Like 2 ProteinTranscription FactorsZinc Transporter 8Cholesterol, LDLHHEX protein, humanHomeodomain ProteinsMTNR1B protein, humanReceptor, Melatonin, MT2SLC30A8 protein, humanTCF7L2 protein, humanTranscription Factor 7-Like 2 ProteinTranscription FactorsZinc Transporter 8

Identifiers

PMID37816730
PMCPMC10564755
OpenAlexW4387494362

What OpenQuestion holds

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LicenceCC BY
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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.