Evidence map›Paper›PMID 23835345›Full record

SynthesisDiabetes2013

Mendelian randomization studies do not support a causal role for reduced circulating adiponectin levels in insulin resistance and type 2 diabetes.

Hanieh Yaghootkar, Claudia Lamina, Robert A Scott, Zari Dastani, Marie-France Hivert, Liling L Warren, Alena Stancáková, Sarah G Buxbaum, Leo-Pekka Lyytikäinen, Peter Henneman and 68 more

Open access · bronzeAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Diabetes, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 6 pooled it
11.6field-weighted citation impact, top 1% 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

66 citing papers in PubMed, 6 syntheses or guidelines pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Metabolic profiling of alcohol consumption in 9778 young adults.International journal of epidemiology · 2016
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6 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

78 authors at 20 institutions in 14 countries.

Hanieh YaghootkarGenetics of Complex Traits, University of Exeter Medical School, Exeter, U.K.
Claudia Lamina
Robert A Scott
Zari Dastani
Marie-France Hivert
Liling L Warren
Alena Stancáková
Sarah G Buxbaum
Leo-Pekka Lyytikäinen
Peter Henneman
Ying Wu
Chloe Y Y Cheung
James S Pankow
Anne U Jackson
Stefan Gustafsson
Jing Hua Zhao
Christie M Ballantyne
Weijia Xie
Richard N Bergman
Michael Boehnke
Fatiha el Bouazzaoui
Francis S Collins
Sandra H Dunn
Josee Dupuis
Nita G Forouhi
Christopher Gillson
Andrew T Hattersley
Jaeyoung Hong
Mika Kähönen
Johanna Kuusisto
Lyudmyla Kedenko
Florian Kronenberg
Alessandro Doria
Themistocles L Assimes
Ele Ferrannini
Torben Hansen
Ke Hao
Hans Häring
Joshua W Knowles
Cecilia M Lindgren
John J Nolan
Jussi Paananen
Oluf Pedersen
Thomas Quertermous
Ulf Smith
GENESIS Consortium
RISC Consortium
Terho Lehtimäki
Ching-Ti Liu
Ruth J F Loos
Mark I McCarthy
Andrew D Morris
Ramachandran S Vasan
Tim D Spector
Tanya M Teslovich
Jaakko Tuomilehto
Ko Willems van Dijk
Jorma S Viikari
Na Zhu
Claudia Langenberg
Erik Ingelsson
Robert K Semple
Alan R Sinaiko
Colin N A Palmer
Mark Walker
Karen S L Lam
Bernhard Paulweber
Karen L Mohlke
Cornelia van Duijn
Olli T Raitakari
Aurelian Bidulescu
Nick J Wareham
Markku Laakso
Dawn M Waterworth
Debbie A Lawlor
James B Meigs
J Brent Richards
Timothy M Frayling
Boston University · USUniversity of Eastern Finland · FIUniversity of Exeter · GBLeiden University Medical Center · NLUniversity of Michigan–Ann Arbor · USUniversity of Minnesota · USCardiovascular Institute of the South · USChinese University of Hong Kong · CNGlaxoSmithKline (United States) · USIcahn School of Medicine at Mount Sinai · USInnsbruck Medical University · ATMassachusetts General Hospital · USParacelsus Medical University · ATUniversity of Copenhagen · DKUniversity of North Carolina at Chapel Hill · USUniversity of Oxford · GBBaylor College of Medicine · USCedars-Sinai Medical Center · USErasmus MC · NLFinnish Institute for Health and Welfare · FI

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
YOUTH DRUG ABUSE, ADHD, AND RELATED DISRUPTIVE DISORDERSM01RR000400 · NCRR · UNIVERSITY OF MINNESOTA TWIN CITIES · PI DONAHUE, CHRISTOPHER B · 1985 to 2009
$33.7M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
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
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Martin G Myers · 2013 to 2026
$24.3M
Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Biotechnology and Biological Sciences Research Council G20234CIHRFIC NIH HHS TW05596Intramural NIH HHSMedical Research Council G0500070Medical Research Council G0600705Medical Research Council G0600717Medical Research Council MC_U106179471Medical Research Council MC_U106188470Medical Research Council MC_UP_A100_1003Medical Research Council MC_UU_12013/5NCATS NIH HHS UL1 TR000454NCRR NIH HHS MO1-RR-00400NCRR NIH HHS RR20649NCRR NIH HHS UL1RR025005NCRR NIH HHS UL1 RR025008NHGRI NIH HHS 1Z01 HG000024NHGRI NIH HHS N01-HG-65403NHGRI NIH HHS T32 HG000040NHGRI NIH HHS U01HG004402NHLBI NIH HHS HL085144NHLBI NIH HHS HL52851NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS N01-HC-55015NHLBI NIH HHS N01-HC-55016NHLBI NIH HHS N01-HC-55018NHLBI NIH HHS N01-HC-55019NHLBI NIH HHS N01-HC-55020NHLBI NIH HHS N01-HC-55021NHLBI NIH HHS N01-HC-55022NHLBI NIH HHS N01-HC-95170NHLBI NIH HHS N01-HC-95171NHLBI NIH HHS N01-HC-95172NHLBI NIH HHS R01HL086694NHLBI NIH HHS R01HL087641NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01HL59367NHLBI NIH HHS RC2 HL102419NHLBI NIH HHS UH1 HL073461NIDDK NIH HHS DK062370NIDDK NIH HHS DK072193NIDDK NIH HHS DK078150NIDDK NIH HHS DK36836-25NIDDK NIH HHS DK56350NIDDK NIH HHS K24 DK080140NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01DK056918NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK093757NIEHS NIH HHS ES10126NIMHD NIH HHS P20 MD006899NINR NIH HHS T32 NR009759Wellcome Trust 090532Wellcome Trust 098498Wellcome Trust 100574
6 · The paper itself

Abstract

Adiponectin is strongly inversely associated with insulin resistance and type 2 diabetes, but its causal role remains controversial. We used a Mendelian randomization approach to test the hypothesis that adiponectin causally influences insulin resistance and type 2 diabetes. We used genetic variants at the ADIPOQ gene as instruments to calculate a regression slope between adiponectin levels and metabolic traits (up to 31,000 individuals) and a combination of instrumental variables and summary statistics-based genetic risk scores to test the associations with gold-standard measures of insulin sensitivity (2,969 individuals) and type 2 diabetes (15,960 case subjects and 64,731 control subjects). In conventional regression analyses, a 1-SD decrease in adiponectin levels was correlated with a 0.31-SD (95% CI 0.26-0.35) increase in fasting insulin, a 0.34-SD (0.30-0.38) decrease in insulin sensitivity, and a type 2 diabetes odds ratio (OR) of 1.75 (1.47-2.13). The instrumental variable analysis revealed no evidence of a causal association between genetically lower circulating adiponectin and higher fasting insulin (0.02 SD; 95% CI -0.07 to 0.11; N = 29,771), nominal evidence of a causal relationship with lower insulin sensitivity (-0.20 SD; 95% CI -0.38 to -0.02; N = 1,860), and no evidence of a relationship with type 2 diabetes (OR 0.94; 95% CI 0.75-1.19; N = 2,777 case subjects and 13,011 control subjects). Using the ADIPOQ summary statistics genetic risk scores, we found no evidence of an association between adiponectin-lowering alleles and insulin sensitivity (effect per weighted adiponectin-lowering allele: -0.03 SD; 95% CI -0.07 to 0.01; N = 2,969) or type 2 diabetes (OR per weighted adiponectin-lowering allele: 0.99; 95% CI 0.95-1.04; 15,960 case subjects vs. 64,731 control subjects). These results do not provide any consistent evidence that interventions aimed at increasing adiponectin levels will improve insulin sensitivity or risk of type 2 diabetes.

Indexed as

Insulin ResistanceAdiponectinBlood GlucoseDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenetic VariationHumansMaleMendelian Randomization AnalysisOdds RatioPolymorphism, Single NucleotideRegression AnalysisAdiponectinADIPOQ protein, humanBlood Glucose

Identifiers

PMID23835345
PMCPMC3781444
OpenAlexW2114001485

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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.