Evidence map›Paper›PMID 27863428›Full record

ArticleOncotarget2016

Impact of diabetes-related gene polymorphisms on the clinical characteristics of type 2 diabetes Chinese Han population.

Jing Li, Jiachen Wei, Pengcheng Xu, Mengdan Yan, Jingjie Li, Zhengshuai Chen, Tianbo Jin

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Significant association ofJournal of diabetes and metabolic disorders · 2021
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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

7 authors at 3 institutions in 1 country.

Jing LiKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Jiachen WeiDepartment of Endocrinology, Xi'an NO.1 Hospital, Xi'an 710002, China.
Pengcheng XuInner Mongolia Medical University, Inner Mongolia, Hohhot 010010, China.
Mengdan YanKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Jingjie LiKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Zhengshuai ChenKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Tianbo JinKey Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, Shaanxi 710069, China.
Northwest University · CNInner Mongolia Medical University · CNWuhan No.1 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the correlation between type 2 diabetes (T2D)-related genes and the clinical characteristics of T2D in the Chinese Han population. Our study included 319 patients and 387 controls. Age, gender, clinical features, medications intake and biochemical blood profiles were analyzed. Genotyping was performed on a total of 18 single nucleotide polymorphisms previously reported to be associated with T2D. Our analyses revealed that the CT genotype of ARHGAP22 rs4838605 is associated with T2D risk. Upon analyzing the subjects' clinical characteristics, we found that for rs2811893, the TT genotype correlated with high creatinine levels, while the AA genotype of rs17045754 and the TT genotype of rs4838605 correlated with elevated triglyceride levels. In addition, the AA genotype of rs17376456 and the TT genotype of rs6214 (p = 0.006) correlated with elevated hemoglobin A1c levels. Lastly, those carrying the TT genotype of rs7772697 and the CA genotype of rs3918227 exhibited higher mean body mass index and Cystatin C than controls. Our results showing that the ARHGAP22 gene is associated with an increased risk of T2D, and that seven SNPs in MYSM1, PLXDC2, ARHGAP22 and HS6ST3 promote T2D progression and could help predict the clinical course of T2D in patients at risk.

Indexed as

Polymorphism, Single NucleotideAgedAsian PeopleBiomarkersCase-Control StudiesChinaCreatinineCystatin CDiabetes Mellitus, Type 2Disease ProgressionDNA-Binding ProteinsFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGlycated HemoglobinARHGAP22 protein, humanBiomarkersCreatinineCST3 protein, humanCystatin CDNA-Binding ProteinsGlycated HemoglobinGTPase-Activating Proteinshemoglobin A1c protein, humanHS6ST3 protein, humanMYSM1 protein, humanPLXDC2 protein, humanReceptors, Cell SurfaceSulfotransferasesTrans-ActivatorsTranscription FactorsTriglyceridesUbiquitin-Specific Proteasescase-controlgeneticsingle nucleotide polymorphismtype2 diabetes

Identifiers

PMID27863428
PMCPMC5356749
OpenAlexW2550360509

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.