Evidence map›Paper›PMID 22212408›Full record

ArticleRheumatology international2013

Effects of SLC2A9 variants on uric acid levels in a Korean population.

Jae Woong Sull, Eun Jung Park, Myoungsook Lee, Sun Ha Jee

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Rheumatology international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Prognostic Role of Serum Levels of Uric Acid in Amyotrophic Lateral Sclerosis.Journal of clinical neurology (Seoul, Korea) · 2015
    Article
  6. Article
  7. 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

4 authors at 3 institutions in 1 country.

Jae Woong SullDepartment of Biomedical Laboratory Science, College of Health Science, Eulji University, Sungnam-Si, Gyeongi-Do 461-713, Korea.
Eun Jung Park
Myoungsook Lee
Sun Ha Jee
Korea Health Promotion Institute · KREulji University · KRSungshin Women's University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated uric acid levels are associated with a variety of adverse health risks. Genome-wide association studies have identified several candidate genes associated with serum uric acid levels, including SLC2A9. We carried out a replication study of SLC2A9 variants in two Korean cohorts. A total of 961 participants in Seoul City were genotyped using a genome-wide marker panel, and 1,859 participants in the Bundang-Gu area were used for a replication study with a selected marker. Multivariate linear regression models were employed to test for genotypic effects on uric acid levels while adjusting for age, sex, and smoking status using an additive model. The top single nucleotide polymorphism associated with uric acid levels was rs4529048 in the SLC2A9 gene on chromosome 4 (P = 2.12 × 10(-6) in the Seoul City sample; P = 1.55 × 10(-9) in the Bundang-Gu sample). The meta-analysis P value for rs4529048 in the combined 2,820 individuals was 1.17 × 10(-14). This study demonstrates that genetic variants in SLC2A9 influence uric acid levels in Korean adults.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyPolymorphism, Single NucleotideAdultChromosomes, Human, Pair 4Cohort StudiesFemaleGlucose Transport Proteins, FacilitativeHumansHyperuricemiaMaleMeta-Analysis as TopicUric AcidGlucose Transport Proteins, FacilitativeSLC2A9 protein, humanUric Acid

Identifiers

PMID22212408
OpenAlexW2052291060

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.