Evidence map›Paper›PMID 30598999›Full record

ArticleBioMed research international2018

Associations between Aquaglyceroporin Gene Polymorphisms and Risk of Type 2 Diabetes Mellitus.

Yijun Wang, Gang Chen, Qingyun Tu, Junxia Wu, Yu Qin, Zheng Zhu, Yi Shen, Li Yan, Aohan Han, Quanyong Xiang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 34% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. dbAQP-SNP: a database of missense single-nucleotide polymorphisms in human aquaporins.Database : the journal of biological databases and curation · 2023
    Article
  7. Review
  8. Article
  9. Aquaporins Involvement in Pancreas Physiology and in Pancreatic Diseases.International journal of molecular sciences · 2019
    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

11 authors at 4 institutions in 1 country.

Yijun WangDepartment of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
Gang ChenDepartment of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
Qingyun TuSchool of Public Health, Southeast University, Nanjing, Jiangsu 210009, China.
Junxia WuDepartment of Comprehensive Statistics, The Third People's Hospital of Nantong, Nantong, Jiangsu 226000, China.
Yu QinDepartment of Chronic Non-Communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.
Zheng ZhuDepartment of Chronic Non-Communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.ORCID 0000-0002-5057-5289
Yi ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.
Li YanKey Lab of Reproduction Regulation of NPFPC, SIPPR, IRD, Fudan university, Shanghai 200237, China.
Aohan HanSchool of Public Health, Southeast University, Nanjing, Jiangsu 210009, China.
Quanyong XiangDepartment of Chronic Non-Communicable Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China.ORCID 0000-0001-6401-0249
Chun WangDepartment of Environmental Health, School of Public Health, Nantong University, Nantong, Jiangsu 226000, China.ORCID 0000-0002-3200-8977
Nantong University · CNJiangsu Provincial Center for Disease Control and Prevention · CNSoutheast University · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAQP7 and AQP9 represent glycerol channel in adipose tissue and liver and have been associated with metabolic diseases. We aimed to investigate the associations between genetic variants in

methodsBlood samples were drawn from 400 T2DM patients and 400 age- and gender-matched controls. Genomic DNA was extracted by proteinase K digestion and phenol-chloroform extraction. Genotyping of 5 single nucleotide polymorphisms (SNPs) in AQP7 (rs2989924, rs3758269, and rs62542743) and AQP9 (rs57139208, rs16939881) was performed by the polymerase chain reaction assay with TaqMan probes.

resultsThe subjects with rs2989924 GA+AA genotypes had 1.47-fold increased risk of T2DM (odds ratio [OR] 1.47, 95% confidence interval [CI] 1.06-2.04), compared to those with GG genotype, and this association remained significant after adjustment for covariates (OR 1.66, 95% CI 1.07-2.57). When compared with rs3758269 CC genotype, the subjects with CT+TT genotypes had 45% decreased T2DM risk after multivariate adjustment (OR 0.55, 95% CI 0.35-0.85). The associations were evident in elder and overweight subjects and those with central obesity. No association was observed between

conclusions

Indexed as

AllelesAquaglyceroporinsAsian PeopleCase-Control StudiesDiabetes Mellitus, Type 2FemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedObesityOdds RatioOverweightPolymorphism, Single NucleotideAquaglyceroporins

Identifiers

PMID30598999
PMCPMC6288565
OpenAlexW2903510500

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.