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.
Nettleton JA,
McKeown NM,
Kanoni S,
Lemaitre RN,
Hivert MF,
Ngwa J,
van Rooij FJ,
Sonestedt E,
Wojczynski MK,
Ye Z,
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,
Forouhi NG,
Groves CJ,
Hallmans G,
Harris T,
Hofman A,
Houston DK,
Hu FB,
Johansson I,
Kritchevsky SB,
Langenberg C,
Launer L,
Liu Y,
Loos RJ,
Nalls M,
Orho-Melander M,
Renstrom F,
Rice K,
Riserus U,
Rolandsson O,
Rotter JI,
Saylor G,
Sijbrands EJ,
Sjogren P,
Smith A,
Steingrímsdóttir L,
Uitterlinden AG,
Wareham NJ,
Prokopenko I,
Pankow JS,
van Duijn CM,
Florez JC,
Witteman JC;
MAGIC Investigators,
Dupuis J,
Dedoussis GV,
Ordovas JM,
Ingelsson E,
Cupples LA,
Siscovick DS,
Franks PW,
Meigs JB.
Dupuis J, Claudia L, Prokopenko I, Saxena R, Soranzo N, Jackson AU, Wheeler E, Glazer NL, Bouatia-Naji N, Lindgren CM, Mägi R, Morris AP, Randal J, Rybin D, Johnson T, Henneman P, Gieger C, Thorleifsson G, Steinthorsdottir V, Dehghan A, Hottenga JJ, Franklin CS, Navarro P, Song K, Goe A, Perry JR, Lajunen T, Grallert H, Li M, Stringham HM, Kumari M, Timpson NJ, Shrader P, Ingelsson E, Zabena C, O'Connell J, Cavalcanti-Proença C, Luan J, Elliott A, McCarroll SA, Payne F, Roccasecca RM, Sethupathy P, Andrew T, Ariyurek Y, Balkau B, Barter P, Bennett AJ, Ben-Shlomo Y, Bergmann S, Bochud M, Boerwinkle E, Bonnefond A, Bonnycastle LL, Böttcher Y, Brunner E, Bumpstead SJ, Chen YD, Chines P, Clarke R, Coin LJ, Crawford GJ, Crisponi L, Day IN, Geus E, Dina C, Doney A, Egan JM, Elliott P, Erdos MR, Fischer-Rosinsky A, Forouhi NG, Fox CS, Frants R, Franzosi MG, Galan P, Goodarzi MO, Graessler J, Groves CJ, Grundy S, Gwilliam R, Hallmans G, Hammond N, Han X, Hartikainen AL, Hayward C, Heath SC, Hercberg S, Herder C, Hicks AA, Hingorani AD, Hofman A, Isomaa B, Jula A, Kaakinen M, Kanoni S, Kesaniemi YA, Kivimaki M, Knight B, Koskinen S, Kovacs P, Lathrop GM, Lawlor DA, Li Y, Lyssenko V, Mahley R, Mangino M, Manning AK, Martínez-Larrad MT, McAteer JB, McPherson R, Meisinger C, Melzer D, Meyre D, Mitchell BD, Morken MA, Naitza S, Narisu N, Neville MJ, Oostra BA, Orrù M, Pakyz R, Palmer CN, Paolisso G, Pattaro C, Pearson D, Peden JF, Perola M, Pfeiffer AF, Pichler I, Polasek O, Posthuma D, Potter SC, Pouta A, Psaty BM, Rathmann W, Rayner NW, Rice K, Ripatti S, Rivadeneira F, Rolandsson O, Sandhu M, Sanna S, Sayer AA, Scheet P, Scott LJ, Seedorf U, Sharp SJ, Shields B, Sijbrands EJ, Silveira A, Singleton A, Smith NL, Sovio U, Swift A, Syddall H, Syvänen AC, Tanaka T, Tönjes A, Tuomi T, Uitterlinden AG, van Dijk KW, Varma D, Visvikis-Siest S, Vitart V, Vogelzangs N, Waeber G, Wagner PJ, Watkins H, Weedon MN, Wild SH, Willemsen G, Witteman JC, Yarnell JW, Zelenika D, Zethelius B, Zhai G, Zhao JH, Zillikens MC, GIANT Consortium, Global BPgen Consortium, Loos RJ, Meneton P, Nathan DM, Williams GH, Hattersley AT, Silander K, Salomaa V, Smith GD, Bornstein SR, Schwarz P, Spranger J, Karpe F, Shuldiner AR, Cooper C, Dedoussis GV, Serrano-Ríos M, Morris AD, Lind L, Franks PW, Ebrahim S, Marmot M, Kuusisto J, Laakso M, Kao WH, Pankow JS, Pramstaller PP, Wichmann HE, Illig T, Rudan I, Wright A, Stumvoll M, Campbell H, Wilson JF, Hamsten A, Bergman RN, Buchanan TA, Collins FS, Mohlke KL, Tuomilehto J, Valle TT, Altshuler D, Rotter JI, Siscovick DS, Penninx BW, Boomsma D, Deloukas P, Spector TD, Frayling TM, Ferrucci L, Kong A, Thorsteinsdottir U, Stefansson K, van Duijn CM, Aulchenko YS, Cao A, Scuteri A, Schlessinger D, Uda M, Ruokonen A, Jarvelin MR, Waterworth DM, Vollenweider P, Peltonen L, Mooser V, Abecasis GR, Wareham NJ, Sladek R, Froguel P, Watanabe RM, Meigs JB, Groop L, Boehnke M, McCarthy MI, Florez JC, Barroso I.
Source
Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Sciences Center, Houston, Houston, Texas, USA. jennifer.a.nettleton@uth.tmc.edu
Erratum in
- Diabetes Care. 2011 Mar;34(3):785-6. multiple author names added; multiple investigator names added.
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.
- PMID:
- 20693352
- [PubMed - indexed for MEDLINE]
- PMCID:
- PMC2992213
Free PMC ArticleFigure 1
Associations between daily whole-grain intake (A) and fasting glucose (B) and fasting insulin in 14 cohorts. A: Regression coefficient (β [95% CI]) representing expected change in fasting glucose (mmol/l) per one-daily-serving–greater whole-grain intake. B: Regression coefficient (β [95% CI]) representing expected change in fasting insulin [(ln)pmol/l] per one-daily-serving–greater whole-grain intake. Data are adjusted for model one covariates: age, sex, energy intake, field center, or population structure (Note: energy intake was not estimated in the AGES cohort; field center was included as a covariate in Health ABC, CHS, ARIC, FamHS, and InCHIANTI; population structure by principal components in FHS and FamHS).
Diabetes Care. Diabetes Care;33(12):2684-2691.
Publication Types
MeSH Terms
Substances
Grant Support
Full Text Sources
Other Literature Sources
Medical