Evidence map›Paper›PMID 28257690›Full record

ArticleAmerican journal of human genetics2017

Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits.

Mete Civelek, Ying Wu, Calvin Pan, Chelsea K Raulerson, Arthur Ko, Aiqing He, Charles Tilford, Niyas K Saleem, Alena Stančáková, Laura J Scott and 16 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 8 pooled it
–field-weighted citation impact
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

133 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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73 more citing papers are in PubMed but not listed here.

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

26 authors.

Mete CivelekDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
Ying WuDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
Calvin PanDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Chelsea K RaulersonDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
Arthur KoDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Aiqing HeBristol-Myers Squibb, Pennington, NJ 08534, USA.
Charles TilfordBristol-Myers Squibb, Pennington, NJ 08534, USA.
Niyas K SaleemDepartment of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio 70210, Finland.
Alena StančákováDepartment of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio 70210, Finland.
Laura J ScottDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Christian FuchsbergerDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Heather M StringhamDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Anne U JacksonDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Narisu NarisuNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Peter S ChinesNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Kerrin S SmallDepartment of Twin Research and Genetic Epidemiology, School of Medicine, King's College London, London SE1 7EH, UK.
Johanna KuusistoDepartment of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio 70210, Finland.
Brian W ParksDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Päivi PajukantaDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Todd KirchgessnerBristol-Myers Squibb, Pennington, NJ 08534, USA.
Francis S CollinsNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Peter S GargalovicBristol-Myers Squibb, Pennington, NJ 08534, USA.
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA.
Markku LaaksoDepartment of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio 70210, Finland.
Karen L MohlkeDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA. Electronic address: mohlke@med.unc.edu.
Aldons J LusisDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA. Electronic address: jlusis@mednet.ucla.edu.

Funding

Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANTOR, RITA M. · 1985 to 2019
$50.2M
Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Genetic epidemiology of rare and regulatory variants for metabolic traitsR01DK093757 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2011 to 2026
$8.2M
GENETIC ANALYSIS OF TYPE II DIABETES IN FINNISH POPULATIONZ01HG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI COLLINS, FRANCIS S. · 1995 to 2008
$6.2M
Genomics of dyslipidemia in MexicansR01HL095056 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAJUKANTA, PAIVI · 2009 to 2018
$5.9M
UNC Predoc Training Progr in Bioinformatics/Comp BiologyT32GM067553 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C · 2005 to 2019
$2.5M
Functional genetic variants for type 2 diabetesU01DK105561 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOHLKE, KAREN L. · 2015 to 2019
$2.3M
Systems Genetics Analysis of Gene-by-Environment Interactions in ObesityR00HL123021 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI PARKS, BRIAN WESLEY · 2016 to 2018
$747k
Systems genetics analysis of cardiometabolic trait loci in humans R00HL121172 · NHLBI · UNIVERSITY OF VIRGINIA · PI CIVELEK, METE · 2016 to 2018
$741k
Intramural NIH HHS Z01 HG000024Intramural NIH HHS ZIA HG000024Medical Research Council MR/J010642/1Medical Research Council MR/L01999X/1NHLBI NIH HHS F31 HL127921NHLBI NIH HHS P01 HL028481NHLBI NIH HHS R00 HL121172NHLBI NIH HHS R00 HL123021NHLBI NIH HHS R01 HL095056NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK093757NIDDK NIH HHS U01 DK062370NIDDK NIH HHS U01 DK105561NIGMS NIH HHS T32 GM067553
6 · The paper itself

Abstract

Subcutaneous adipose tissue stores excess lipids and maintains energy balance. We performed expression quantitative trait locus (eQTL) analyses by using abdominal subcutaneous adipose tissue of 770 extensively phenotyped participants of the METSIM study. We identified cis-eQTLs for 12,400 genes at a 1% false-discovery rate. Among an approximately 680 known genome-wide association study (GWAS) loci for cardio-metabolic traits, we identified 140 coincident cis-eQTLs at 109 GWAS loci, including 93 eQTLs not previously described. At 49 of these 140 eQTLs, gene expression was nominally associated (p < 0.05) with levels of the GWAS trait. The size of our dataset enabled identification of five loci associated (p < 5 × 10

Indexed as

Gene Expression RegulationQuantitative Trait LociAgedAnimalsCardiovascular DiseasesDatabases, GeneticGene Expression ProfilingGenome-Wide Association StudyGenotyping TechniquesHumansMaleMetabolic SyndromeMiceMiddle AgedNuclear ProteinsPhenotypeMHC class II transactivator proteinNuclear ProteinsTrans-Activators

Identifiers

PMID28257690
PMCPMC5339333

What OpenQuestion holds

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Registered trials

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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.