Evidence map›Paper›PMID 26510124›Full record

ArticleGenetic testing and molecular biomarkers2015

Genetic Variants in Six-Transmembrane Epithelial Antigen of Prostate 4 Increase Risk of Developing Metabolic Syndrome in a Han Chinese Population.

Yue Qi, Yaqin Yu, Yanhua Wu, Shibin Wang, Qiong Yu, Jieping Shi, Ziqi Xu, Qingqing Zhang, Yingli Fu, Yao Fu and 1 more

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Article 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Yue Qi1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Yaqin Yu1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Yanhua Wu1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Shibin Wang1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Qiong Yu1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Jieping Shi1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Ziqi Xu1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Qingqing Zhang1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Yingli Fu1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Yao Fu2 Chinese Jilin Provincial Center for Disease Control and Prevention , Changchun, China .
Changgui Kou1 Department of Epidemiology and Biostatistics, School of Public Health, Jilin University , Changchun, China .
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAltered expression of six-transmembrane epithelial antigen of prostate 4 (STEAP4) is linked to obesity, insulin insensitivity, metabolic homeostasis, and inflammation. This study assessed STEAP4 single nucleotide polymorphisms (SNPs) for association with a risk in developing metabolic syndrome in a Han Chinese population.

methodsA total of 3375 Han Chinese subjects were included in this case-control study with 1583 metabolic syndrome (MetS) patients and 1792 healthy controls. Four SNPs (rs1981529, rs2040657, rs10263111, rs12386756) were genotyped using polymerase chain reaction and MALDI-TOF-MS. The associations between the STAMP4 SNPs and MetS were then analyzed statistically.

resultsThere was no statistical difference in allele frequency of these four SNPs between the case and control populations. The genotype of rs12386756 was shown to be significantly associated with MetS (p = 0.035). Compared with the AA/GG genotypes, the GA genotype of rs12386756 significantly decreased the risk of developing MetS (OR = 0.77; 95% CI, 0.63-0.94; p = 0.0098). There was also no haplotype that could be associated with the risk of developing MetS. Furthermore, the SNP rs1981529 of STEAP4 was associated with body-mass index, waist circumference, and systolic blood pressure, while SNP rs10263111 was associated with waist circumference and fasting glucose levels. SNP rs12386756 was associated with waist and hip circumferences.

conclusionSome SNPs of the STEAP4 gene altered the risk of developing a metabolic syndrome in the Han Chinese population. Further studies must be conducted to understand the role of the STEAP4 gene in the pathogenesis of metabolic syndrome.

Indexed as

AllelesBody Mass IndexGene FrequencyPolymorphism, Single NucleotideAdultAsian PeopleChinaFemaleHumansMaleMembrane ProteinsMetabolic SyndromeMiddle AgedOxidoreductasesRisk FactorsMembrane ProteinsOxidoreductasesSTEAP4 protein, human

Identifiers

PMID26510124
PMCPMC4677533
OpenAlexW1846786891

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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.