Evidence map›Paper›PMID 27039371›Full record

ArticleBMC genomics2016

GWAS and transcriptional analysis prioritize ITPR1 and CNTN4 for a serum uric acid 3p26 QTL in Mexican Americans.

Geetha Chittoor, Jack W Kent, Marcio Almeida, Sobha Puppala, Vidya S Farook, Shelley A Cole, Karin Haack, Harald H H Göring, Jean W MacCluer, Joanne E Curran and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

20 authors at 5 institutions in 2 countries.

Geetha ChittoorDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jack W KentDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Marcio AlmeidaSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Sobha PuppalaDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Vidya S FarookSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, 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 GöringSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Jean W MacCluerDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Joanne E CurranSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Melanie A CarlessDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
Matthew P JohnsonSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Eric K MosesCentre for Genetic Epidemiology and Biostatistics, The University of Western Australia, Perth, WA, Australia.
Laura AlmasySouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Michael C MahaneySouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Donna M LehmanDepartment of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Ravindranath DuggiralaSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Anthony G ComuzzieDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX, USA.
John BlangeroSouth Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.
Venkata Saroja VorugantiDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. saroja@unc.edu.
The University of Texas Rio Grande Valley · USTexas Biomedical Research Institute · USUniversity of North Carolina at Chapel Hill · USThe University of Texas Health Science Center at San Antonio · USUniversity of Western Australia · AU

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
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
NIDDM SUSCEPTIBILITY GENES IN MEXICAN-AMERICANSR01DK047482 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LEHMAN, DONNA M · 1993 to 2010
$5.4M
EXTRAMULAR RESEARCH FACILITIES CONSTRUCTIONC06RR017515 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 2003 to 2003
$3.1M
GENETICS OF GALLBLADDER DISEASE IN MEXICAN AMERICANSR01DK053889 · NIDDK · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI DUGGIRALA, RAVINDRANATH · 1998 to 2011
$2.3M
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 P30 DK056350NIDDK NIH HHS R01 DK047482NIDDK NIH HHS R01 DK053889NIDDK NIH HHS R01 DK092238NIDDK NIH HHS R01DK092238NIMH NIH HHS MH059490NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

backgroundThe variation in serum uric acid concentrations is under significant genetic influence. Elevated SUA concentrations have been linked to increased risk for gout, kidney stones, chronic kidney disease, and cardiovascular disease whereas reduced serum uric acid concentrations have been linked to multiple sclerosis, Parkinson's disease and Alzheimer's disease. Previously, we identified a novel locus on chromosome 3p26 affecting serum uric acid concentrations in Mexican Americans from San Antonio Family Heart Study. As a follow up, we examined genome-wide single nucleotide polymorphism data in an extended cohort of 1281 Mexican Americans from multigenerational families of the San Antonio Family Heart Study and the San Antonio Family Diabetes/Gallbladder Study. We used a linear regression-based joint linkage/association test under an additive model of allelic effect, while accounting for non-independence among family members via a kinship variance component.

resultsUnivariate genetic analysis indicated serum uric acid concentrations to be significant heritable (h (2) = 0.50 ± 0.05, p < 4 × 10(-35)), and linkage analysis of serum uric acid concentrations confirmed our previous finding of a novel locus on 3p26 (LOD = 4.9, p < 1 × 10(-5)) in the extended sample. Additionally, we observed strong association of serum uric acid concentrations with variants in following candidate genes in the 3p26 region; inositol 1,4,5-trisphosphate receptor, type 1 (ITPR1), contactin 4 (CNTN4), decapping mRNA 1A (DCP1A); transglutaminase 4 (TGM4) and rho guanine nucleotide exchange factor (GEF) 26 (ARHGEF26) [p < 3 × 10(-7); minor allele frequencies ranged between 0.003 and 0.42] and evidence of cis-regulation for ITPR1 transcripts.

conclusionOur results confirm the importance of the chromosome 3p26 locus and genetic variants in this region in the regulation of serum uric acid concentrations.

Indexed as

Quantitative Trait LociAdultChromosomes, Human, Pair 3ContactinsFemaleGenetic LinkageGenome-Wide Association StudyHumansInositol 1,4,5-Trisphosphate ReceptorsMaleMexican AmericansMiddle AgedPolymorphism, Single NucleotideUric AcidCNTN4 protein, humanContactinsInositol 1,4,5-Trisphosphate ReceptorsITPR1 protein, humanUric AcidCNTN4Family-based studyITPR1Joint linkage/association approach

Identifiers

PMID27039371
PMCPMC4818944
OpenAlexW2320708878

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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.