Evidence map›Paper›PMID 29871606›Full record

ArticleBMC medical genetics2018

Impact of KCNQ1, CDKN2A/2B, CDKAL1, HHEX, MTNR1B, SLC30A8, TCF7L2, and UBE2E2 on risk of developing type 2 diabetes in Thai population.

Nattachet Plengvidhya, Chutima Chanprasert, Nalinee Chongjaroen, Pa-Thai Yenchitsomanus, Mayuree Homsanit, Watip Tangjittipokin

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Associations ofJournal of diabetes research · 2020
    Pooled it
  4. Article
  5. Polymorphic variants inFrontiers in clinical diabetes and healthcare · 2025
    Article
  6. Review
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  8. Article
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  11. Journal of personalized medicine · 2022
    Article
  12. Article
  13. Advances in multi-omics study of biomarkers of glycolipid metabolism disorder.Computational and structural biotechnology journal · 2022
    Review
  14. Article
  15. Pharmacogenetics of new classes of antidiabetic drugs.Bosnian journal of basic medical sciences · 2021
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Nattachet PlengvidhyaDivision of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Chutima ChanprasertDivision of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Nalinee ChongjaroenDepartment of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Pa-Thai YenchitsomanusSiriraj Center of Research Excellence for Molecular Medicine, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Mayuree HomsanitDepartment of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Watip TangjittipokinDepartment of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. watip.tan@mahidol.edu.ORCID 0000-0002-7103-8466
Siriraj Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral type 2 diabetes (T2D) susceptibility loci identified via genome-wide association studies were found to be replicated among various populations. However, the influence of these loci on T2D in Thai population is unknown. The aim of this study was to investigate the influence of eight single nucleotide polymorphisms (SNPs) reported in GWA studies on T2D and related quantitative traits in Thai population.

methodsEight SNPs in or near the KCNQ1, CDKN2A/2B, SLC30A8, HHEX, CDKAL1, TCF7L2, MTNR1B, and UBE2E2 genes were genotyped. A case-control association study comprising 500 Thai patients with T2D and 500 ethnically-matched control subjects was conducted. Associations between SNPs and T2D were examined by logistic regression analysis. The impact of these SNPs on quantitative traits was examined by linear regression among case and control subjects.

resultsFive SNPs in KCNQ1 (rs2237892), CDK2A/2B (rs108116610, SLC30A8 (rs13266634), TCF7L2 (rs7903146) and MTNR1B (rs1387153) were found to be marginally associated with risk of developing T2D, with odds ratios ranging from 1.43 to 2.02 (p = 0.047 to 3.0 × 10-4) with adjustments for age, sex, and body mass index. Interestingly, SNP rs13266634 of SLC30A8 gene reached statistical significance after correcting for multiple testing (p = 0.0003) (p < 0.006 after Bonferroni correction). However, no significant association was detected between HHEX (rs1111875), CDKAL1 (rs7756992), or UBE2E2 (rs7612463) and T2D. We also observed association between rs10811661 and both waist circumference and waist-hip ratio (p = 0.007 and p = 0.023, respectively). In addition, rs13266634 in SLC30A8 was associated with glycated hemoglobin (p = 0.018), and rs7903146 in TCF7L2 was associated with high-density lipoprotein cholesterol level (p = 0.023).

conclusionOf the eight genes included in our analysis, significant association was observed between KCNQ1, CDKN2A/2B, SLC30A8, TCF7L2, and MTNR1B loci and T2D in our Thai study population. Of these, CDKN2A/2B, SLC30A8, and TCF7L2 genes were also significantly associated with anthropometric, glycemic and lipid characteristics. Larger cohort studies and meta-analyses are needed to further confirm the effect of these variants in Thai population.

Indexed as

Polymorphism, Single NucleotideAdultBiomarkersCase-Control StudiesCyclin-Dependent Kinase Inhibitor p15Cyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18Diabetes Mellitus, Type 2FemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenotypeHomeodomain ProteinsHumansKCNQ1 Potassium ChannelMaleBiomarkersCDKAL1 protein, humanCDKN2A protein, humanCDKN2B protein, humanCyclin-Dependent Kinase Inhibitor p15Cyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18HHEX protein, humanHomeodomain ProteinsKCNQ1 Potassium ChannelKCNQ1 protein, humanMTNR1B protein, humanReceptor, Melatonin, MT2SLC30A8 protein, humanTCF7L2 protein, humanTranscription Factor 7-Like 2 ProteinTranscription FactorstRNA MethyltransferasesUBE2E2 protein, humanUbiquitin-Conjugating EnzymesZinc Transporter 8Association studyGenome-wide association studySingle nucleotide polymorphismsThai populationType 2 diabetes

Identifiers

PMID29871606
PMCPMC5989367
OpenAlexW2807085557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.