Evidence map›Paper›PMID 20053405›Full record

ArticleAtherosclerosis2010

Sex and age interaction with genetic association of atherogenic uric acid concentrations.

Anita Brandstätter, Claudia Lamina, Stefan Kiechl, Steven C Hunt, Stefan Coassin, Bernhard Paulweber, Felix Kramer, Monika Summerer, Johann Willeit, Lyudmyla Kedenko and 2 more

Open access · greenAbstract read
In one paragraph

Article in Atherosclerosis, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  12. Article
  13. ABCG transporters and disease.The FEBS journal · 2011
    Review
  14. Article
  15. The challenge of exploiting ABCG2 in the clinic.Current pharmaceutical biotechnology · 2011
    Review
  16. 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

12 authors at 3 institutions in 2 countries.

Anita BrandstätterDivision of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Schöpfstr. 41, A-6020 Innsbruck, Austria.
Claudia Lamina
Stefan Kiechl
Steven C Hunt
Stefan Coassin
Bernhard Paulweber
Felix Kramer
Monika Summerer
Johann Willeit
Lyudmyla Kedenko
Ted D Adams
Florian Kronenberg
Innsbruck Medical University · ATParacelsus Medical University · ATUniversity of Utah · US

Funding

VIRAL DAMAGE TO BRAIN AND NEUROMUSCULAR SYSTEMM01RR000064 · NCRR · UNIVERSITY OF UTAH · PI SWOBODA, KATHRYN J. · 1985 to 2008
$21.7M
MORBIDITY/MORTALITY RELATED TO GASTRIC BYPASS SURGERYR01DK055006 · NIDDK · UNIVERSITY OF UTAH · PI HOPKINS, PAUL N · 2000 to 2014
$7.8M
NCRR NIH HHS M01 RR000064NIDDK NIH HHS R01 DK055006
6 · The paper itself

Abstract

backgroundHigh serum uric acid levels are associated with gout, atherosclerosis and cardiovascular disease. Three genes (SLC2A9, ABCG2, and SLC17A3) were reported to be involved in the regulation of uric acid levels. RESEARCH: DESIGN AND

methodsSNPs rs2231142 (ABCG2) and rs1165205 (SLC17A3) were genotyped in three cohorts (n=4492) and combined with previously genotyped SNPs within SLC2A9 (rs6855911, rs7442295, rs6449213, rs12510549).

resultsEach copy of the minor allele decreased uric acid levels by 0.30-0.38 mg/dL for SLC2A9 (p values: 10(-20)-10(-36)) and increased levels by 0.34 mg/dL for ABCG2 (p=1.1x10(-16)). SLC17A3 influenced uric acid levels only modestly. Together the SNPs showed graded associations with uric acid levels of 0.111 mg/dL per risk allele (p=3.8x10(-42)). In addition, we observed a sex-specific interaction of age with the association of SLC2A9 SNPs with uric acid levels, where increasing age strengthened the association of SNPs in women and decreased the association in men.

conclusionsGenetic variants within SLC2A9,ABCG2 and SLC17A3 show highly significant associations with uric acid levels, and for SNPs within SLC2A9 this association is strongly modified by age and sex.

Indexed as

AgedAge FactorsAtherosclerosisATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2Cardiovascular DiseasesCohort StudiesFemaleGenotypeGlucose Transport Proteins, FacilitativeGoutHumansMaleMiddle AgedNeoplasm ProteinsPolymorphism, Single NucleotideABCG2 protein, humanATP-Binding Cassette TransportersATP Binding Cassette Transporter, Subfamily G, Member 2Glucose Transport Proteins, FacilitativeNeoplasm ProteinsSLC17A3 protein, humanSLC2A9 protein, humanSodium-Phosphate Cotransporter Proteins, Type IUric Acid

Identifiers

PMID20053405
PMCPMC3793203
OpenAlexW2005576028

What OpenQuestion holds

Textmetadata
LicenceTDM
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.