Evidence map›Paper›PMID 25772781›Full record

ArticleMetabolism: clinical and experimental2015

Linkage and association analysis of obesity traits reveals novel loci and interactions with dietary n-3 fatty acids in an Alaska Native (Yup'ik) population.

Laura Kelly Vaughan, Howard W Wiener, Stella Aslibekyan, David B Allison, Peter J Havel, Kimber L Stanhope, Diane M O'Brien, Scarlett E Hopkins, Dominick J Lemas, Bert B Boyer and 1 more

Abstract read
In one paragraph

Article in Metabolism: clinical and experimental, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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  6. Genomics of body fat distribution.Journal of genetics · 2021
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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

11 authors at 6 institutions in 1 country.

Laura Kelly VaughanDepartment of Biology, King University, 1350 King College Rd, Bristol, TN 37620, USA. Electronic address: lkvaughan@king.edu.
Howard W WienerDepartment of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35294, USA. Electronic address: hwiener@uab.edu.
Stella AslibekyanDepartment of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35294, USA. Electronic address: saslibek@uab.edu.
David B AllisonSection on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35294, USA. Electronic address: dallison@uab.edu.
Peter J HavelDepartments of Nutrition and Molecular Biosciences, University of California at Davis, 1 Shields Ave, Davis, CA 95616, USA. Electronic address: pjhavel@ucdavis.edu.
Kimber L StanhopeDepartments of Nutrition and Molecular Biosciences, University of California at Davis, 1 Shields Ave, Davis, CA 95616, USA. Electronic address: klstanhope@ucdavis.edu.
Diane M O'BrienUSACenter for Alaska Native Health Research, Institute of Arctic Biology, 311 Irving I Building, University of Alaska Fairbanks, Fairbanks, AK 99775, USA. Electronic address: dmobrien@alaska.edu.
Scarlett E HopkinsUSACenter for Alaska Native Health Research, Institute of Arctic Biology, 311 Irving I Building, University of Alaska Fairbanks, Fairbanks, AK 99775, USA. Electronic address: scarlett.hopkins@gmail.com.
Dominick J LemasDepartment of Pediatrics, Section of Neonatology, University of Colorado Anschutz Medical Campus, 13123 East 16th Ave, Aurora, CO 80045, USA. Electronic address: dominick.lemas@ucdenver.edu.
Bert B BoyerUSACenter for Alaska Native Health Research, Institute of Arctic Biology, 311 Irving I Building, University of Alaska Fairbanks, Fairbanks, AK 99775, USA. Electronic address: bboyer@alaska.edu.
Hemant K TiwariSection on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35294, USA. Electronic address: htiwari@uab.edu.
University of Alabama at Birmingham · USUniversity of Alaska Fairbanks · USUniversity of California, Davis · USKing University · USNative Health · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
YUP'IK PERCEPTIONS OF BODY WEIGHT AND DIABETESP20RR016430 · NCRR · UNIVERSITY OF ALASKA FAIRBANKS · PI HOPKINS, SCARLETT H · 2001 to 2011
$23.4M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Building Interdisciplinary Research Careers in Womens Health at UC Davis - Administrative SupplementK12HD051958 · NICHD · UNIVERSITY OF CALIFORNIA DAVIS · PI LANE, NANCY E · 2005 to 2023
$9.6M
Pilot Project ProgramP30GM103325 · NIGMS · UNIVERSITY OF ALASKA FAIRBANKS · PI BERSAMIN, ANDREA · 2012 to 2016
$5.3M
Genetics of Obesity in Yup'ik EskimosR01DK074842 · NIDDK · UNIVERSITY OF ALASKA FAIRBANKS · PI BOYER, BERT BRANDON · 2007 to 2011
$2.8M
Cluster Based Selection of Candidate Genes in Genome Wide Association Studies.K01DK080188 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VAUGHAN, LAURA KELLY · 2008 to 2011
$602k
NCRR NIH HHS P20 RR016430NCRR NIH HHS RR016430NHGRI NIH HHS HHSN268200782096CNICHD NIH HHS K12 HD051958NIDDK NIH HHS DK056336NIDDK NIH HHS DK074842NIDDK NIH HHS K01 DK080188NIDDK NIH HHS K01DK080188NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK079626NIDDK NIH HHS R01 DK074842NIGMS NIH HHS P30 GM103325
6 · The paper itself

Abstract

objectiveTo identify novel genetic markers of obesity-related traits and to identify gene-diet interactions with n-3 polyunsaturated fatty acid (n-3 PUFA) intake in Yup'ik people. MATERIAL AND

methodsWe measured body composition, plasma adipokines and ghrelin in 982 participants enrolled in the Center for Alaska Native Health Research (CANHR) Study. We conducted a genome-wide SNP linkage scan and targeted association analysis, fitting additional models to investigate putative gene-diet interactions. Finally, we performed bioinformatic analysis to uncover likely candidate genes within the identified linkage peaks.

resultsWe observed evidence of linkage for all obesity-related traits, replicating previous results and identifying novel regions of interest for adiponectin (10q26.13-2) and thigh circumference (8q21.11-13). Bioinformatic analysis revealed DOCK1, PTPRE (10q26.13-2) and FABP4 (8q21.11-13) as putative candidate genes in the newly identified regions. Targeted SNP analysis under the linkage peaks identified associations between three SNPs and obesity-related traits: rs1007750 on chromosome 8 and thigh circumference (P=0.0005), rs878953 on chromosome 5 and thigh skinfold (P=0.0004), and rs1596854 on chromosome 11 for waist circumference (P=0.0003). Finally, we showed that n-3 PUFA modified the association between obesity related traits and two additional variants (rs2048417 on chromosome 3 for adiponectin, P for interaction=0.0006 and rs730414 on chromosome 11 for percentage body fat, P for interaction=0.0004).

conclusionsThis study presents evidence of novel genomic regions and gene-diet interactions that may contribute to the pathophysiology of obesity-related traits among Yup'ik people.

Indexed as

DietAdultAlaskaAnthropometryBody CompositionComputational BiologyCross-Sectional StudiesFatty Acids, Omega-3FemaleGenetic LinkageGenome, HumanHumansInuitMaleObesityPolymorphism, Single NucleotideFatty Acids, Omega-3Alaska NativeLinkagen-3 fatty acidsObesity

Identifiers

PMID25772781
PMCPMC4408244
OpenAlexW2104407273

What OpenQuestion holds

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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.