Evidence map›Paper›PMID 24379826›Full record

ArticleFrontiers in genetics2013

Genome-wide association analysis confirms and extends the association of SLC2A9 with serum uric acid levels to Mexican Americans.

Venkata Saroja Voruganti, Jack W Kent, Subrata Debnath, Shelley A Cole, Karin Haack, Harald H H Göring, Melanie A Carless, Joanne E Curran, Matthew P Johnson, Laura Almasy and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. An update on the genetics of hyperuricaemia and gout.Nature reviews. Rheumatology · 2018
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

17 authors at 3 institutions in 2 countries.

Venkata Saroja VorugantiDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA ; Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill Kannapolis, NC, USA.
Jack W KentDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Subrata DebnathDivision of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio San Antonio, TX, USA.
Shelley A ColeDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Karin HaackDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Harald H H GöringDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Melanie A CarlessDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Joanne E CurranDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Matthew P JohnsonDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Laura AlmasyDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Thomas D DyerDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Jean W MaccluerDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Eric K MosesDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA ; Centre for Genetic Origins of Health and Disease, University of Western Australia Perth, WA, Australia.
Hanna E AbboudDivision of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio San Antonio, TX, USA.
Michael C MahaneyDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
John BlangeroDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Anthony G ComuzzieDepartment of Genetics, Texas Biomedical Research Institute San Antonio, TX, USA.
Texas Biomedical Research Institute · USThe University of Texas Health Science Center at San Antonio · USUniversity of Western Australia · AU

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI ALMASY, LAURA A. · 1991 to 2012
$27.6M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
EXTRAMULAR RESEARCH FACILITIES CONSTRUCTIONC06RR017515 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 2003 to 2003
$3.1M
High Performance Computing System for Human GenomicsS10RR029392 · NCRR · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2010 to 2010
$2.1M
Comprehensive SNP Discovery in SLC2A9. A Candidate Gene for Uric Acid NephropathyR01DK092238 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VORUGANTI, VENKATA SAROJA · 2012 to 2015
$1.3M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
NCRR NIH HHS C06 RR013556NCRR NIH HHS C06 RR017515NCRR NIH HHS S10 RR029392NHLBI NIH HHS P01 HL045522NIDDK NIH HHS R01 DK092238NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

Increased serum uric acid (SUA) is a risk factor for gout and renal and cardiovascular disease (CVD). The purpose of this study was to identify genetic factors that affect the variation in SUA in 632 Mexican Americans participants of the San Antonio Family Heart Study (SAFHS). A genome-wide association (GWA) analysis was performed using the Illumina Human Hap 550K single nucleotide polymorphism (SNP) microarray. We used a linear regression-based association test under an additive model of allelic effect, while accounting for non-independence among family members via a kinship variance component. All analyses were performed in the software package SOLAR. SNPs rs6832439, rs13131257, and rs737267 in solute carrier protein 2 family, member 9 (SLC2A9) were associated with SUA at genome-wide significance (p < 1.3 × 10(-7)). The minor alleles of these SNPs had frequencies of 36.2, 36.2, and 38.2%, respectively, and were associated with decreasing SUA levels. All of these SNPs were located in introns 3-7 of SLC2A9, the location of the previously reported associations in European populations. When analyzed for association with cardiovascular-renal disease risk factors, conditional on SLC2A9 SNPs strongly associated with SUA, significant associations were found for SLC2A9 SNPs with BMI, body weight, and waist circumference (p < 1.4 × 10(-3)) and suggestive associations with albumin-creatinine ratio and total antioxidant status (TAS). The SLC2A9 gene encodes an urate transporter that has considerable influence on variation in SUA. In addition to the primary association locus, suggestive evidence (p < 1.9 × 10(-6)) for joint linkage/association (JLA) was found at a previously-reported urate quantitative trait locus (Logarithm of odds score = 3.6) on 3p26.3. In summary, our GWAS extends and confirms the association of SLC2A9 with SUA for the first time in a Mexican American cohort and also shows for the first time its association with cardiovascular-renal disease risk factors.

Indexed as

hyperuricemiajoint linkage/association analysiskinshipvariance components decomposition approach

Identifiers

PMID24379826
PMCPMC3863993
OpenAlexW2138745111

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.