Interactions of Dietary Whole-Grain Intake With Fasting Glucose– and Insulin-Related Genetic Loci in Individuals of European Descent

Author:

Nettleton Jennifer A.1,McKeown Nicola M.2,Kanoni Stavroula3,Lemaitre Rozenn N.4,Hivert Marie-France5,Ngwa Julius6,van Rooij Frank J.A.7,Sonestedt Emily8,Wojczynski Mary K.9,Ye Zheng10,Tanaka Tosh11,

Affiliation:

1. Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Sciences Center, Houston, Houston, Texas;

2. Nutrition Epidemiology Department, Jean Mayer U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts;

3. Department of Nutrition and Dietetics, Harokopio University, Athens, Greece;

4. Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington;

5. Department of Medicine, Universite de Sherbrooke, Quebec, Canada;

6. Department of Biostatistics, Boston University School of Public Health, Boston University, Boston, Massachusetts;

7. Department of Epidemiology, Erasmus Medical Center Rotterdam, the Netherlands, and The Netherlands Genomics Initiative–Sponsored Netherlands Consortium for Healthy Aging, Leiden, the Netherlands;

8. Department of Clinical Sciences, Lund University, Malmö, Sweden;

9. Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri;

10. Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, U.K.;

11. Clinical Research Branch, National Institute on Aging, Baltimore, Maryland.

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.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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