Evidence map›Paper›PMID 31016517›Full record

ArticleCurrent medical science2019

Association between SLC2A9 Genetic Variants and Risk of Hyperuricemia in a Uygur Population.

Yu-Ping Sun, Fei-Li Xu, Dan-Dan Yan, Mayina Kahaer, Xiao-Jin Zhang, Yu-Yuan Guo, Cheng Hu, Wei-Ping Jia, Li Luo

Abstract read
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In one paragraph

Article in Current medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. International journal of endocrinology · 2022
    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

9 authors at 3 institutions in 1 country.

Yu-Ping SunCollege of Basic Medical Science, Xinjiang Medical University, Urumqi, 830054, China.
Fei-Li XuThe Fourth Affiliated Hospital, Xinjiang Medical University, Urumqi, 830054, China.
Dan-Dan YanShanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, Minhang, 200233, China.
Mayina KahaerCollege of Basic Medical Science, Xinjiang Medical University, Urumqi, 830054, China.
Xiao-Jin ZhangThe Key Laboratory of Metabolic Diseases, Department of Education, Xinjiang Uygur Autonomous Region and the First Affiliated Hospital, Xinjiang Medical University, Urumqi, 830054, China.
Yu-Yuan GuoCollege of Basic Medical Science, Xinjiang Medical University, Urumqi, 830054, China.
Cheng HuShanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, Minhang, 200233, China. alfredhc@sjtu.edu.cn.
Wei-Ping JiaShanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, Minhang, 200233, China.
Li LuoThe Key Laboratory of Metabolic Diseases, Department of Education, Xinjiang Uygur Autonomous Region and the First Affiliated Hospital, Xinjiang Medical University, Urumqi, 830054, China. milanxiang150906@sina.com.
Xinjiang Medical University · CNShanghai Sixth People's Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

enSummary]This study aimed to test the effects of five single nucleotide polymorphisms within SLC2A9 on uric acid level in a special ethnic population, the Uygurs in Xinjiang, China. According to our inclusion and exclusion criteria, Uygur adults from Xinjiang constituted the study population. There were 1053 Uygur adults with hyperuricemia and 1373 normal Uygur adults who served as controls. Five single nucleotide polymorphisms within SLC2A9 (rs938557, rs7679916, rs7349721, rs13101785, and rs13137343) were selected with the HapMap dataset and TaqMan assays. We found that, in normouricemia group, rs938557 was significantly correlated with uric acid (β=11.39±3.74, P=0.0024) adjusting for age, gender and BMI; rs7679916 and rs13137343 were marginally associated with uric acid concentration (β=5.77±3.09, P=0.0626; β= 5.99±3.08, P=0.0520). In the hyperuricemia group, no SNP was found to possibly influence uric acid concentration. None of these SNPs showed significant association with hyperuricemia after controlling for age, gender and BMI. There were significant or marginal correlations between certain single nucleotide polymorphisms in the SLC2A9 region and uric acid concentration in Uygur normouricemia samples. In turn, some of these single nucleotide polymorphisms in SLC2A9 may increase the risk of hyperuricemia.

Indexed as

AdultAsian PeopleChinaCross-Sectional StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGlucose Transport Proteins, FacilitativeHumansHyperuricemiaMaleMiddle AgedPolymorphism, Single NucleotideUric AcidGlucose Transport Proteins, FacilitativeSLC2A9 protein, humanUric AcidgenotypinghyperuricemiaSLC2A9Uygur ethnic

Identifiers

PMID31016517
OpenAlexW2941152644

What OpenQuestion holds

Textmetadata
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.