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.
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Authors
Nettleton, JA
McKeown, NM
Kanoni, S
Lemaitre, RN
Hivert, M-F
Ngwa, J
van Rooij, FJA
Sonestedt, E
Wojczynski, MK
Ye, Zheng
Tanaka, T
Garcia, M
Anderson, JS
Follis, JL
Djousse, L
Mukamal, K
Papoutsakis, C
Mozaffarian, D
Zillikens, MC
Bandinelli, S
Bennett, AJ
Borecki, IB
Feitosa, MF
Ferrucci, L
Groves, CJ
Hallmans, G
Harris, T
Hofman, A
Houston, DK
Hu, FB
Johansson, I
Kritchevsky, SB
Launer, L
Liu, Y
Loos, Ruth
Nalls, M
Orho-Melander, M
Renstrom, F
Rice, K
Riserus, U
Rolandsson, O
Rotter, JI
Saylor, G
Sijbrands, EJG
Sjogren, P
Smith, A
Steingrímsdóttir, L
Uitterlinden, AG
Prokopenko, I
Pankow, JS
van Duijn, CM
Florez, JC
Witteman, JCM
MAGIC Investigators
Dupuis, J
Dedoussis, GV
Ordovas, JM
Ingelsson, E
Cupples, LA
Siscovick, DS
Franks, PW
Meigs, JB
Publication Date
2010-12Journal Title
Diabetes Care
ISSN
0149-5992
Publisher
American Diabetes Association
Volume
33
Issue
12
Pages
2684-2691
Language
English
Type
Article
Metadata
Show full item recordCitation
Nettleton, J., McKeown, N., Kanoni, S., Lemaitre, R., Hivert, M., Ngwa, J., van Rooij, F., et al. (2010). 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.. Diabetes Care, 33 (12), 2684-2691. https://doi.org/10.2337/dc10-1150
Abstract
OBJECTIVE: Whole-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 METHODS: Via 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. RESULTS: Greater 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. CONCLUSIONS: Our 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.
Keywords
Adult, Aged, Blood Glucose, Edible Grain, European Continental Ancestry Group, Fasting, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide
Sponsorship
Medical Research Council (G0701863)
Medical Research Council (MC_U106188470)
Medical Research Council (MC_UU_12015/1)
Medical Research Council (MC_U106179471)
Identifiers
External DOI: https://doi.org/10.2337/dc10-1150
This record's URL: https://www.repository.cam.ac.uk/handle/1810/261092
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International, Attribution-NonCommercial-NoDerivatives 4.0 International, Attribution-NonCommercial-NoDerivatives 4.0 International, Attribution-NonCommercial-NoDerivatives 4.0 International
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