Evidence map›Paper›PMID 25634581›Full record

ArticleBMC genetics2015

Associations of the uric acid related genetic variants in SLC2A9 and ABCG2 loci with coronary heart disease risk.

Xu Han, Lixuan Gui, Bing Liu, Jing Wang, Yaru Li, Xiayun Dai, Jun Li, Binyao Yang, Gaokun Qiu, Jing Feng and 3 more

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The genetics of gout: translation into clinical practice.Therapeutic advances in musculoskeletal disease · 2025
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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

13 authors at 1 institution in 1 country.

Xu HanInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. hanxusmile@163.com.
Lixuan GuiInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. guilixuan@gmail.com.
Bing LiuInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. 675111053@qq.com.
Jing WangInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. wangjing8891@hotmail.com.
Yaru LiInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. liyaru10880909@126.com.
Xiayun DaiInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. lovedai@yeah.net.
Jun LiInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. lijun_tjmu@126.com.
Binyao YangInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. yangbinyao120@163.com.
Gaokun QiuInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. qiugaokun@163.com.
Jing FengInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. jing_doctor@163.com.
Xiaomin ZhangInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. mingxz117@163.com.
Tangchun WuInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. wut@mails.tjmu.edu.cn.
Meian HeInstitute of Occupational Medicine and the Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China. hemeian@hotmail.com.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple studies investigated the associations between serum uric acid and coronary heart disease (CHD) risk. However, further investigations still remain to be carried out to determine whether there exists a causal relationship between them. We aim to explore the associations between genetic variants in uric acid related loci of SLC2A9 and ABCG2 and CHD risk in a Chinese population.

resultsA case-control study including 1,146 CHD cases and 1,146 controls was conducted. Association analysis between two uric acid related variants (SNP rs11722228 in SLC2A9 and rs4148152 in ABCG2) and CHD risk was performed by logistic regression model. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Compared with subjects with A allele of rs4148152, those with G allele had a decreased CHD risk and the association remained significant in a multivariate model. However, it altered to null when BMI was added into the model. No significant association was observed between rs11722228 and CHD risk. The distribution of CHD risk factors was not significantly different among different genotypes of both SNPs. Among subjects who did not consume alcohol, the G allele of rs4148152 showed a moderate protective effect. However, no significant interactions were observed between SNP by CHD risk factors on CHD risk.

conclusionsThere might be no association between the two uric acid related SNPs with CHD risk. Further studies were warranted to validate these results.

Indexed as

Polymorphism, Single NucleotideAgedAsian PeopleATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2Case-Control StudiesCoronary DiseaseFemaleGenome-Wide Association StudyGlucose Transport Proteins, FacilitativeHumansMaleMiddle AgedNeoplasm ProteinsUric AcidABCG2 protein, humanATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2Glucose Transport Proteins, FacilitativeNeoplasm ProteinsSLC2A9 protein, humanUric Acid

Identifiers

PMID25634581
PMCPMC4314773
OpenAlexW2147590867

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.