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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 2010; 33(12):2684-91DC

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.

Authors+Show Affiliations

Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Sciences Center, Houston, Houston, Texas, USA. jennifer.a.nettleton@uth.tmc.eduNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Meta-Analysis

Language

eng

PubMed ID

20693352

Citation

Nettleton, Jennifer A., et al. "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, vol. 33, no. 12, 2010, pp. 2684-91.
Nettleton JA, McKeown NM, Kanoni S, et al. 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. 2010;33(12):2684-91.
Nettleton, J. A., McKeown, N. M., Kanoni, S., Lemaitre, R. N., Hivert, M. F., Ngwa, J., ... Meigs, J. B. (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), pp. 2684-91. doi:10.2337/dc10-1150.
Nettleton JA, et al. 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. 2010;33(12):2684-91. PubMed PMID: 20693352.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - 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. AU - Nettleton,Jennifer A, AU - McKeown,Nicola M, AU - Kanoni,Stavroula, AU - Lemaitre,Rozenn N, AU - Hivert,Marie-France, AU - Ngwa,Julius, AU - van Rooij,Frank J A, AU - Sonestedt,Emily, AU - Wojczynski,Mary K, AU - Ye,Zheng, AU - Tanaka,Tosh, AU - Garcia,Melissa, AU - Anderson,Jennifer S, AU - Follis,Jack L, AU - Djousse,Luc, AU - Mukamal,Kenneth, AU - Papoutsakis,Constantina, AU - Mozaffarian,Dariush, AU - Zillikens,M Carola, AU - Bandinelli,Stefania, AU - Bennett,Amanda J, AU - Borecki,Ingrid B, AU - Feitosa,Mary F, AU - Ferrucci,Luigi, AU - Forouhi,Nita G, AU - Groves,Christopher J, AU - Hallmans,Goran, AU - Harris,Tamara, AU - Hofman,Albert, AU - Houston,Denise K, AU - Hu,Frank B, AU - Johansson,Ingegerd, AU - Kritchevsky,Stephen B, AU - Langenberg,Claudia, AU - Launer,Lenore, AU - Liu,Yongmei, AU - Loos,Ruth J, AU - Nalls,Michael, AU - Orho-Melander,Marju, AU - Renstrom,Frida, AU - Rice,Kenneth, AU - Riserus,Ulf, AU - Rolandsson,Olov, AU - Rotter,Jerome I, AU - Saylor,Georgia, AU - Sijbrands,Eric J G, AU - Sjogren,Per, AU - Smith,Albert, AU - Steingrímsdóttir,Laufey, AU - Uitterlinden,André G, AU - Wareham,Nicholas J, AU - Prokopenko,Inga, AU - Pankow,James S, AU - van Duijn,Cornelia M, AU - Florez,Jose C, AU - Witteman,Jacqueline C M, AU - ,, AU - Dupuis,Josée, AU - Dedoussis,George V, AU - Ordovas,Jose M, AU - Ingelsson,Erik, AU - Cupples,L Adrienne, AU - Siscovick,David S, AU - Franks,Paul W, AU - Meigs,James B, Y1 - 2010/08/06/ PY - 2010/8/10/entrez PY - 2010/8/10/pubmed PY - 2011/3/23/medline SP - 2684 EP - 91 JF - Diabetes care JO - Diabetes Care VL - 33 IS - 12 N2 - 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. SN - 1935-5548 UR - https://www.unboundmedicine.com/medline/citation/20693352/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_ L2 - http://care.diabetesjournals.org/cgi/pmidlookup?view=long&amp;pmid=20693352 DB - PRIME DP - Unbound Medicine ER -