Evidence map›Paper›PMID 26860063›Full record

ArticleEuropean journal of human genetics : EJHG2016

Association of the IGF1 gene with fasting insulin levels.

Sara M Willems, Belinda K Cornes, Jennifer A Brody, Alanna C Morrison, Leonard Lipovich, Marco Dauriz, Yuning Chen, Ching-Ti Liu, Denis V Rybin, Richard A Gibbs and 12 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. PeerJ · 2024
    Article
  2. Article
  3. Microsatellite and Single Nucleotide Polymorphisms in the Insulin-Like Growth Factor 1 Promoter with Insulin Sensitivity and Insulin Secretion.Medical science monitor : international medical journal of experimental and clinical research · 2017
    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

22 authors at 15 institutions in 3 countries.

Sara M WillemsGenetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Belinda K CornesDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jennifer A BrodyCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
Alanna C MorrisonSchool of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Leonard LipovichCenter for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA.
Marco DaurizDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Yuning ChenDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Ching-Ti LiuDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Denis V RybinBoston University Data Coordinating Center, Boston, MA, USA.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, University of Texas Health Science Center, Houston, TX, USA.
Donna MuznyHuman Genome Sequencing Center, Baylor College of Medicine, University of Texas Health Science Center, Houston, TX, USA.
James S PankowDivision of Epidemiology and Community Health (J.S.P.), University of Minnesota, Minnesota, MN, USA.
Bruce M PsatyCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA.
Eric BoerwinkleSchool of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Jerome I RotterInstitute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA.
David S SiscovickNew York Academy of Medicine, New York, NY, USA.
Ramachandran S VasanCardiology Section, Department of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA.
Aaron IsaacsGenetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Josée DupuisDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Cornelia M van DuijnGenetic Epidemiology Unit, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
James B MeigsDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Boston University · USErasmus MC · NLBaylor College of Medicine · USThe University of Texas Health Science Center at Houston · USAlbert Einstein College of Medicine · USFramingham Heart Study · USGroup Health Cooperative · USHarbor–UCLA Medical Center · USHarvard University · USMassachusetts General Hospital · USNew York Academy of Medicine · USSeattle University · USUniversity of Minnesota · USUniversity of Verona · ITWayne State University · US

Funding

The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALAN R. SALTIEL · 2003 to 2026
$40.4M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
Building on GWAS for NHLBI-disease: the CHARGE consortiumRC2HL102419 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2009 to 2010
$27.6M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
Prospective meta-analyses of drug-gene interactions: CHARGE GWAS consortiumR01HL103612 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2011 to 2014
$5.4M
WGA Study to Identify Genetic Variants Associated with CV Events in CHSR01HL087652 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2007 to 2009
$5.1M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
NCATS NIH HHS UL1 TR000124NCI NIH HHS DP2 CA196375NHGRI NIH HHS U54 HG003273NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL103612NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL120393NHLBI NIH HHS RC2 HL102419NHLBI NIH HHS U01 HL080295NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG031890NIDDK NIH HHS K24 DK080140NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK078616NIDDK NIH HHS U01 DK078616
6 · The paper itself

Abstract

Insulin-like growth factor 1 (IGF-I) has been associated with insulin resistance. Genome-wide association studies (GWASs) of fasting insulin (FI) identified single-nucleotide variants (SNVs) near the IGF1 gene, raising two hypotheses: (1) these associations are mediated by IGF-I levels and (2) these noncoding variants either tag other functional variants in the region or are directly functional. In our study, analyses including 5141 individuals from population-based cohorts suggest that FI associations near IGF1 are not mediated by IGF-I. Analyses of targeted sequencing data in 3539 individuals reveal a large number of novel rare variants at the IGF1 locus and show a FI association with a subset of rare nonsynonymous variants (PSKAT=5.7 × 10(-4)). Conditional analyses suggest that this association is partly explained by the GWAS signal and the presence of a residual independent rare variant effect (Pconditional=0.019). Annotation using ENCODE data suggests that the GWAS variants may have a direct functional role in insulin biology. In conclusion, our study provides insight into variation present at the IGF1 locus and into the genetic architecture underlying FI levels, suggesting that FI associations of SNVs near IGF1 are not mediated by IGF-I and suggesting a role for both rare nonsynonymous and common functional variants in insulin biology.

Indexed as

Polymorphism, Single NucleotideAdultAgedFastingFemaleHumansInsulinInsulin-Like Growth Factor IMaleMiddle AgedIGF1 protein, humanInsulinInsulin-Like Growth Factor I

Identifiers

PMID26860063
PMCPMC4989214
OpenAlexW2259070204

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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.