Evidence map›Paper›PMID 26873362›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2016

Gene Polymorphism Association with Type 2 Diabetes and Related Gene-Gene and Gene-Environment Interactions in a Uyghur Population.

Shan Xiao, Xiaoyun Zeng, Yong Fan, Yinxia Su, Qi Ma, Jun Zhu, Hua Yao

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Minor alleles ofFrontiers in endocrinology · 2023
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  3. From form to function: mAdvances in biological regulation · 2023
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  7. Relationship ofOpen life sciences · 2020
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  8. The role of mMolecular cancer · 2019
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  9. Article
  10. Type 2 Diabetes-Associated Genetic Polymorphisms as Potential Disease Predictors.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019
    Review
  11. The application of clinical genetics · 2019
    Article
  12. Article
  13. Article
  14. Review
  15. 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

7 authors at 1 institution in 1 country.

Shan XiaoDepartment of Endocrinology, the First Affiliated Hospital of Xinjiang Medical University, Urumchi , China (mainland).
Xiaoyun ZengDepartment of Endocrinology, the First Affiliated Hospital of Xinjiang Medical University, Urumchi , China (mainland).
Yong FanDepartment of Endocrinology, the First Affiliated Hospital of Xinjiang Medical University, Urumchi , China (mainland).
Yinxia Su
Qi Ma
Jun ZhuDepartment of Endocrinology, the First Affiliated Hospital of Xinjiang Medical University, Urumchi , China (mainland).
Hua Yao
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND We investigated the association between 8 single-nucleotide polymorphisms (SNPs) at 3 genetic loci (CDKAL1, CDKN2A/2B and FTO) with type 2 diabetes (T2D) in a Uyghur population. MATERIAL AND METHODS A case-control study of 879 Uyghur patients with T2D and 895 non-diabetic Uyghur controls was conducted at the Hospital of Xinjiang Medical University between 2010 and 2013. Eight SNPs in CDKAL1, CDKN2A/2B and FTO were analyzed using Sequenom MassARRAY®SNP genotyping. Factors associated with T2D were assessed by logistic regression analyses. Gene-gene and gene-environment interactions were analyzed by generalized multifactor dimensionality reduction. RESULTS Genotype distributions of rs10811661 (CDKN2A/2B), rs7195539, rs8050136, and rs9939609 (FTO) and allele frequencies of rs8050136 and rs9939609 differed significantly between diabetes and control groups (all P<0.05). While rs10811661, rs8050136, and rs9939609 were eliminated after adjusting for covariates (P>0.05), rs7195539 distribution differed significantly in co-dominant and dominant models (P<0.05). In gene-gene interaction analysis, after adjusting for covariates the two-locus rs10811661-rs7195539 interaction model had a cross-validation consistency of 10/10 and the highest balanced accuracy of 0.5483 (P=0.014). In gene-environment interaction analysis, the 3-locus interaction model TG-HDL-family history of diabetes had a cross-validation consistency of 10/10 and the highest balanced accuracy of 0.7072 (P<0.001). The 4-locus interaction model, rs7195539-TG-HDL-family history of diabetes had a cross-validation consistency of 8/10 (P<0.001). CONCLUSIONS Polymorphisms in CDKN2A/2B and FTO, but not CDKAL1, may be associated with T2D, and alleles rs8050136 and rs9939609 are likely risk alleles for T2D in this population. There were potential interactions among CDKN2A/2B (rs10811661) - FTO (rs7195539) or FTO (rs7195539)-TG-HDL-family history of diabetes in the pathogenesis of T2D in a Uyghur population.

Indexed as

Gene-Environment InteractionAdultAgedAllelesAlpha-Ketoglutarate-Dependent Dioxygenase FTOAsian PeopleCase-Control StudiesChinaDiabetes Mellitus, Type 2FemaleGenes, p16Genetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedAlpha-Ketoglutarate-Dependent Dioxygenase FTOCDKAL1 protein, humanFTO protein, humantRNA Methyltransferases

Identifiers

PMID26873362
PMCPMC4755665
OpenAlexW2270159705

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.