Pulse lineResearch With Heart Logo

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.

TitleMeta-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.
Publication TypeJournal Article
Year of Publication2013
AuthorsNettleton JA, Hivert M-F, Lemaitre RN, McKeown NM, Mozaffarian D, Tanaka T, Wojczynski MK, Hruby A, Djoussé L, Ngwa JS, Follis JL, Dimitriou M, Ganna A, Houston DK, Kanoni S, Mikkilä V, Manichaikul A, Ntalla I, Renstrom F, Sonestedt E, van Rooij FJA, Bandinelli S, de Koning L, Ericson U, Hassanali N, de Jong JCKiefte-, Lohman KK, Raitakari O, Papoutsakis C, Sjogren P, Stirrups K, Ax E, Deloukas P, Groves CJ, Jacques PF, Johansson I, Liu Y, McCarthy MI, North K, Viikari J, Zillikens CM, Dupuis J, Hofman A, Kolovou G, Mukamal K, Prokopenko I, Rolandsson O, Seppälä I, L Cupples A, Hu FB, Kähönen M, Uitterlinden AG, Borecki IB, Ferrucci L, Jacobs DR, Kritchevsky SB, Orho-Melander M, Pankow JS, Lehtimäki T, Witteman JCM, Ingelsson E, Siscovick DS, Dedoussis G, Meigs JB
Secondary AuthorsFranks PW
JournalAm J Epidemiol
Volume177
Issue2
Pagination103-15
Date Published2013 Jan 15
ISSN1476-6256
KeywordsBiomarkers, Blood Glucose, Carbohydrate Metabolism, Diet, Diet Surveys, Fasting, Gene-Environment Interaction, Genetic Markers, Genome-Wide Association Study, Genotype, Homeostasis, Humans, Insulin, Linear Models, Polymorphism, Single Nucleotide
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.

DOI10.1093/aje/kws297
Alternate JournalAm J Epidemiol
PubMed ID23255780
PubMed Central IDPMC3707424
Grant ListR01 DK078616 / DK / NIDDK NIH HHS / United States
R01 HL105756 / HL / NHLBI NIH HHS / United States
K24 DK080140 / DK / NIDDK NIH HHS / United States
090532 / / Wellcome Trust / United Kingdom
R01 HL087700 / HL / NHLBI NIH HHS / United States