Evidence map›Paper›PMID 30157802›Full record

ArticleBMC medical genetics2018

A variant in KCNQ1 gene predicts metabolic syndrome among northern urban Han Chinese women.

Yafei Liu, Chunxia Wang, Yafei Chen, Zhongshang Yuan, Tao Yu, Wenchao Zhang, Fang Tang, Jianhua Gu, Qinqin Xu, Xiaotong Chi and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Molecular Effects of Physical Activity and Body Composition: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2025
    Pooled it
  2. Review
  3. 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

13 authors at 4 institutions in 1 country.

Yafei LiuDivision of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.
Chunxia WangJinan Kingmed Center for Clinical Laboratory Co, Ltd., 554 Zhengfeng Rd, Jinan, 250010, Shandong, China.
Yafei ChenLinyi Centre for Adverse Drug Reaction Monitoring, Linyi, 276000, Shandong, China.
Zhongshang YuanDivision of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.
Tao YuDivision of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.
Wenchao ZhangShandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Rd, Jinan, 250014, China.
Fang TangShandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Rd, Jinan, 250014, China.
Jianhua GuDivision of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.
Qinqin XuDivision of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.
Xiaotong ChiDepartment of Imaging and Nuclear Medicine, Taishan Medical University, 619 Changcheng Rd, Tai'an, 271016, Shandong, China.
Lijie DingDivision of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China.
Fuzhong XueDivision of Biostatistics, School of Public Health, Shandong University, 44 Wenhua Xilu, Jinan, 250010, Shandong, China. xuefzh@sdu.edu.cn.
Chengqi ZhangShandong Provincial Qianfoshan Hospital, Shandong University, 16766 Jingshi Rd, Jinan, 250014, China. chengqizhangsd@126.com.ORCID 0000-0002-9118-5471
Shandong University · CNKingmed Diagnostics · CNLinyi University · CNTaishan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have reported that the potassium voltage-gated channel subfamily Q member 1 (KCNQ1) gene is associated with diabetes in both European and Asian population. This study aims to find a predictable single nucleotide polymorphism (SNP) to predict the risk of metabolic syndrome (MetS) through investigating the association of SNP in KCNQ1 gene with MetS in Han Chinese women of northern urban area.

methodsSix SNPs were selected and genotyped in 1381 unrelated women aged 21 and above, who have had physical check-up in Shandong Provincial Qianfoshan Hospital. Cox proportional model was conducted to access the association between SNPs and MetS.

resultsSixty one women developed MetS between 2010 and 2015 during the 3055 person-year of follow-up. The cumulative incidence density was 19.964/1000 person-year. The SNP rs163182 was associated with MetS both in the additive genetic model (RR = 1.658, 95% CI: 1.144-2.402) and in the recessive genetic model (RR = 2.461, 95% CI: 1.347-4.496). It remained significant after adjustment. This relationship was also observed in MetS components (BMI and SBP).

conclusionA novel association between rs163182 and MetS was found in this study, which can predict the occurrence of MetS among northern urban Han Chinese women. More investigations are needed to be done to assess the possible pathway in which KCNQ1 gene affects MetS.

Indexed as

AdultAsian PeopleCohort StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansIncidenceKCNQ1 Potassium ChannelMetabolic SyndromeMiddle AgedPolymorphism, Single NucleotideRisk FactorsKCNQ1 Potassium ChannelKCNQ1 protein, humanCohort studyKCNQ1Metabolic syndromeSingle nucleotide polymorphism (SNP)

Identifiers

PMID30157802
PMCPMC6114251
OpenAlexW2888870681

What OpenQuestion holds

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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.