Evidence map›Paper›PMID 26540651›Full record

Trial reportGenetic testing and molecular biomarkers2015

Association Between KCNQ1 Genetic Variants and Type 2 Diabetes in the Uyghur Population.

Qi Ma, Li Wang, Hua Yao, Ting-ting Wang, Yan Ma, Yin-xia Su, Zhi-qiang Wang, Jun Zhu, Shu-xia Wang, Zhao-Xia Zhang and 4 more

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Genetic testing and molecular biomarkers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. A novel link betweenBiomedical reports · 2025
    Article
  2. Association Study ofInternational journal of molecular sciences · 2024
    Article
  3. Article
  4. Pharmacogenetics of new classes of antidiabetic drugs.Bosnian journal of basic medical sciences · 2021
    Review
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

14 authors.

Qi Ma1 Key Laboratory of Xinjiang Metabolic Disease, Clinical Medical Research Institute, the First Affiliated Hospital of Xinjiang Medical University , Urumqi, China .
Li Wang1 Key Laboratory of Xinjiang Metabolic Disease, Clinical Medical Research Institute, the First Affiliated Hospital of Xinjiang Medical University , Urumqi, China .
Hua Yao1 Key Laboratory of Xinjiang Metabolic Disease, Clinical Medical Research Institute, the First Affiliated Hospital of Xinjiang Medical University , Urumqi, China .
Ting-ting Wang2 Department of Occupational and Environmental Health, Xinjiang Medical University , Urumqi, China .
Yan Ma2 Department of Occupational and Environmental Health, Xinjiang Medical University , Urumqi, China .
Yin-xia Su2 Department of Occupational and Environmental Health, Xinjiang Medical University , Urumqi, China .
Zhi-qiang Wang2 Department of Occupational and Environmental Health, Xinjiang Medical University , Urumqi, China .
Jun Zhu3 Department of Endocrinology, the First Affiliated Hospital of Xinjiang Medical University , Urumqi, China .
Shu-xia Wang4 Department of Cadre Healthcare, the First Affiliated Hospital of Xinjiang Medical University , Urumqi, China .
Zhao-Xia Zhang5 Department of Laboratory Medicine, the First Affiliated Hospital of Xinjiang Medical University , Urumqi, China .
Qin-qin Hou6 Specimen Bank of Xinjiang Key Diseases, Clinical Medical Research Institute, the First Affiliated Hospital of Xinjiang Medical University , Urumqi, China .
Ren Cai6 Specimen Bank of Xinjiang Key Diseases, Clinical Medical Research Institute, the First Affiliated Hospital of Xinjiang Medical University , Urumqi, China .
Xue-li Gong7 Department of Pathophysiology, Xinjiang Medical University , Urumqi, China .
Xiao-yan Jiang8 Key Laboratory of Arrhythmias of the Ministry of Education of China, Tongji University School of Medicine , Shanghai, China .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association between KCNQ1 gene polymorphisms and type 2 diabetes (T2D) in an admixed ethnic minority, Uyghur population, living in the Northwest region of China. MATERIALS AND

methodsWe genotyped three tagging single-nucleotide polymorphisms rs2283171, rs11023485, and rs2283208 of the KCNQ1 gene in 1006 T2D participants and 1004 controls and conducted association analysis.

resultsThe frequencies of the AG and GG genotypes and the G allele of rs2283171 were higher in the control group (51.4%, 22%, and 47.7%, respectively) than in the case group (49%, 17.6%, and 42.1%, respectively). The minor G allele decreased the risk of T2D with a per-allele odds ratio of 0.79 (95% CI: 0.70-0.90) for the additive genetic model in univariate analysis (p = 0.0001). After adjustment for the covariates of age, gender, smoking, alcohol use, systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), triglyceride (TG), and total cholesterol (TC), the diabetic protective effect of the rs2283171-G allele remained. No difference was observed in the frequency distributions of the rs11023485 and rs2283208 genotypes between the two groups.

conclusionWe identified a novel association between rs2283171 of KCNQ1 and T2D in the Uyghur population. Further association and functional studies are required to identify the causal functional variant that is in linkage disequilibrium with this polymorphism.

Indexed as

AllelesGene FrequencyPolymorphism, Single NucleotideAdultAsian PeopleCase-Control StudiesChinaDiabetes Mellitus, Type 2FemaleHumansKCNQ1 Potassium ChannelMaleMiddle AgedRisk FactorsKCNQ1 Potassium ChannelKCNQ1 protein, human

Identifiers

PMID26540651
PMCPMC4677565

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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.