Evidence map›Paper›PMID 20693352›Full record

SynthesisDiabetes care2010

Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies.

Jennifer A Nettleton, Nicola M McKeown, Stavroula Kanoni, Rozenn N Lemaitre, Marie-France Hivert, Julius Ngwa, Frank J A van Rooij, Emily Sonestedt, Mary K Wojczynski, Zheng Ye and 55 more

Erratum issuedOpen access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Diabetes care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 79 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 16 pooled it
8.3field-weighted citation impact, top 2% 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

79 citing papers in PubMed, 16 syntheses or guidelines pooled it, 143 citations in OpenAlex.

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

4 · The record

Corrections and comments

  • Erratum issued
    multiple author names added; multiple investigator names added
5 · Who and what money

Authors and funding

65 authors at 11 institutions in 6 countries.

Jennifer A NettletonDivision of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Sciences Center, Houston, Houston, Texas, USA. jennifer.a.nettleton@uth.tmc.edu
Nicola M McKeown
Stavroula Kanoni
Rozenn N Lemaitre
Marie-France Hivert
Julius Ngwa
Frank J A van Rooij
Emily Sonestedt
Mary K Wojczynski
Zheng Ye
Tosh Tanaka
Melissa Garcia
Jennifer S Anderson
Jack L Follis
Luc Djousse
Kenneth Mukamal
Constantina Papoutsakis
Dariush Mozaffarian
M Carola Zillikens
Stefania Bandinelli
Amanda J Bennett
Ingrid B Borecki
Mary F Feitosa
Luigi Ferrucci
Nita G Forouhi
Christopher J Groves
Goran Hallmans
Tamara Harris
Albert Hofman
Denise K Houston
Frank B Hu
Ingegerd Johansson
Stephen B Kritchevsky
Claudia Langenberg
Lenore Launer
Yongmei Liu
Ruth J Loos
Michael Nalls
Marju Orho-Melander
Frida Renstrom
Kenneth Rice
Ulf Riserus
Olov Rolandsson
Jerome I Rotter
Georgia Saylor
Eric J G Sijbrands
Per Sjogren
Albert Smith
Laufey Steingrímsdóttir
André G Uitterlinden
Nicholas J Wareham
Inga Prokopenko
James S Pankow
Cornelia M van Duijn
Jose C Florez
Jacqueline C M Witteman
MAGIC Investigators
Josée Dupuis
George V Dedoussis
Jose M Ordovas
Erik Ingelsson
L Adrienne Cupples
David S Siscovick
Paul W Franks
James B Meigs
Boston University · USHarokopio University of Athens · GRLund University · SEMedical Research Council · GBNational Institute on Aging · USNetherlands Consortium for Healthy Ageing · NLThe University of Texas Health Science Center at Houston · USTufts University · USUniversité de Sherbrooke · CAUniversity of Washington · USWashington University in St. Louis · US

Funding

CLINICAL PROJECT: Age, Gene/Environment Susceptibility Study on the Multi-omics of Aging: A clinical epidemiologic prospective studyZIAAG007380 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2025
$6.1M
FHS-SCAN Genome Wide Association Scan for Atherosclerosis Pathway GenesR01HL087700 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2006 to 2008
$5.4M
Health, Aging and Body Composition StudyZIAAG007390 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2024
$4.0M
Genetic Determinants of Visceral AdiposityR01AG032098 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LIU, YONGMEI · 2009 to 2013
$3.4M
Genetic analysis of AGES-Reykjavik Study and the Health ABCZIAAG006000 · NIA · NATIONAL INSTITUTE ON AGING · PI HARRIS, TAMARA · 2009 to 2017
$1.3M
British Heart Foundation RG/07/008/23674Medical Research Council G0100222Medical Research Council G0701863Medical Research Council G0902037Medical Research Council G19/35Medical Research Council G8802774Medical Research Council MC_U106179471Medical Research Council MC_U106188470Medical Research Council MC_U127561128Medical Research Council MC_UP_A100_1003Medical Research Council MC_UP_A620_1015NHLBI NIH HHS R01 HL087700NIA NIH HHS R01 AG032098
6 · The paper itself

Abstract

objectiveWhole-grain foods are touted for multiple health benefits, including enhancing insulin sensitivity and reducing type 2 diabetes risk. Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with fasting glucose and insulin concentrations in individuals free of diabetes. We tested the hypothesis that whole-grain food intake and genetic variation interact to influence concentrations of fasting glucose and insulin. RESEARCH DESIGN AND

methodsVia meta-analysis of data from 14 cohorts comprising ∼ 48,000 participants of European descent, we studied interactions of whole-grain intake with loci previously associated in GWAS with fasting glucose (16 loci) and/or insulin (2 loci) concentrations. For tests of interaction, we considered a P value <0.0028 (0.05 of 18 tests) as statistically significant.

resultsGreater whole-grain food intake was associated with lower fasting glucose and insulin concentrations independent of demographics, other dietary and lifestyle factors, and BMI (β [95% CI] per 1-serving-greater whole-grain intake: -0.009 mmol/l glucose [-0.013 to -0.005], P < 0.0001 and -0.011 pmol/l [ln] insulin [-0.015 to -0.007], P = 0.0003). No interactions met our multiple testing-adjusted statistical significance threshold. The strongest SNP interaction with whole-grain intake was rs780094 (GCKR) for fasting insulin (P = 0.006), where greater whole-grain intake was associated with a smaller reduction in fasting insulin concentrations in those with the insulin-raising allele.

conclusionsOur results support the favorable association of whole-grain intake with fasting glucose and insulin and suggest a potential interaction between variation in GCKR and whole-grain intake in influencing fasting insulin concentrations.

Indexed as

Edible GrainAdultAgedBlood GlucoseFastingFemaleGenetic LociGenome-Wide Association StudyGenotypeHumansInsulinMaleMiddle AgedPolymorphism, Single NucleotideWhite PeopleBlood GlucoseInsulin

Identifiers

PMID20693352
PMCPMC2992213
OpenAlexW2042650991

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.