Evidence map›Paper›PMID 23255780›Full record

SynthesisAmerican journal of epidemiology2013

Meta-analysis investigating associations between healthy diet and fasting glucose and insulin levels and modification by loci associated with glucose homeostasis in data from 15 cohorts.

Jennifer A Nettleton, Marie-France Hivert, Rozenn N Lemaitre, Nicola M McKeown, Dariush Mozaffarian, Toshiko Tanaka, Mary K Wojczynski, Adela Hruby, Luc Djoussé, Julius S Ngwa and 55 more

Open access · bronzeAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% 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

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 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

65 authors at 15 institutions in 6 countries.

Jennifer A NettletonDivision of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, 1200 Herman Pressler Drive, Suite E-641, Houston, TX 77030, USA. jennifer.a.nettleton@uth.tmc.edu
Marie-France Hivert
Rozenn N Lemaitre
Nicola M McKeown
Dariush Mozaffarian
Toshiko Tanaka
Mary K Wojczynski
Adela Hruby
Luc Djoussé
Julius S Ngwa
Jack L Follis
Maria Dimitriou
Andrea Ganna
Denise K Houston
Stavroula Kanoni
Vera Mikkilä
Ani Manichaikul
Ioanna Ntalla
Frida Renström
Emily Sonestedt
Frank J A van Rooij
Stefania Bandinelli
Lawrence de Koning
Ulrika Ericson
Neelam Hassanali
Jessica C Kiefte-de Jong
Kurt K Lohman
Olli Raitakari
Constantina Papoutsakis
Per Sjogren
Kathleen Stirrups
Erika Ax
Panos Deloukas
Christopher J Groves
Paul F Jacques
Ingegerd Johansson
Yongmei Liu
Mark I McCarthy
Kari North
Jorma Viikari
M Carola Zillikens
Josée Dupuis
Albert Hofman
Genovefa Kolovou
Kenneth Mukamal
Inga Prokopenko
Olov Rolandsson
Ilkka Seppälä
L Adrienne Cupples
Frank B Hu
Mika Kähönen
André G Uitterlinden
Ingrid B Borecki
Luigi Ferrucci
David R Jacobs
Stephen B Kritchevsky
Marju Orho-Melander
James S Pankow
Terho Lehtimäki
Jacqueline C M Witteman
Erik Ingelsson
David S Siscovick
George Dedoussis
James B Meigs
Paul W Franks
The University of Texas Health Science Center at Houston · USBoston University · USUniversity of Oxford · GBHarokopio University of Athens · GRHarvard University Press · USTampere University · FIUmeå University · SEUniversity of Washington · USUppsala University · SEKarolinska Institutet · SESeattle University · USUniversity of Minnesota System · USUniversity of North Carolina at Chapel Hill · USUniversity of St. Thomas - Minnesota · USWake Forest University · US

Funding

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
FHS-SCAN Genome Wide Association Scan for Atherosclerosis Pathway GenesR01HL087700 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2006 to 2008
$5.4M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
The Aging Genome Association Study "AGE-GAIN"ZIAAG000965 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$4.0M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
NHLBI NIH HHS R01 HL087700NHLBI NIH HHS R01 HL105756NIDDK NIH HHS K24 DK080140NIDDK NIH HHS R01 DK078616Wellcome Trust 090532
6 · The paper itself

Abstract

Whether loci that influence fasting glucose (FG) and fasting insulin (FI) levels, as identified by genome-wide association studies, modify associations of diet with FG or FI is unknown. We utilized data from 15 U.S. and European cohort studies comprising 51,289 persons without diabetes to test whether genotype and diet interact to influence FG or FI concentration. We constructed a diet score using study-specific quartile rankings for intakes of whole grains, fish, fruits, vegetables, and nuts/seeds (favorable) and red/processed meats, sweets, sugared beverages, and fried potatoes (unfavorable). We used linear regression within studies, followed by inverse-variance-weighted meta-analysis, to quantify 1) associations of diet score with FG and FI levels and 2) interactions of diet score with 16 FG-associated loci and 2 FI-associated loci. Diet score (per unit increase) was inversely associated with FG (β = -0.004 mmol/L, 95% confidence interval: -0.005, -0.003) and FI (β = -0.008 ln-pmol/L, 95% confidence interval: -0.009, -0.007) levels after adjustment for demographic factors, lifestyle, and body mass index. Genotype variation at the studied loci did not modify these associations. Healthier diets were associated with lower FG and FI concentrations regardless of genotype at previously replicated FG- and FI-associated loci. Studies focusing on genomic regions that do not yield highly statistically significant associations from main-effect genome-wide association studies may be more fruitful in identifying diet-gene interactions.

Indexed as

DietGene-Environment InteractionGenotypeBiomarkersBlood GlucoseCarbohydrate MetabolismDiet SurveysFastingGenetic MarkersGenome-Wide Association StudyHomeostasisHumansInsulinLinear ModelsPolymorphism, Single NucleotideBiomarkersBlood GlucoseGenetic MarkersInsulin

Identifiers

PMID23255780
PMCPMC3707424
OpenAlexW2128037741

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.