Cited by 90Nutrition, Genetics, and DiseaseNutritional Studies and DietGenetic Associations and Epidemiology

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

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Nettleton, Jennifer A., Hivert, Marie-France, Lemaitre, Rozenn N., McKeown, Nicola M., Mozaffarian, Dariush, Tanaka, Toshiko, Wojczynski, Mary K., Hruby, Adela +57 more·2013·American Journal of Epidemiology

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.

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  • Large investigations pooling multiple cohorts have observed main (population) effects of either dietary influences or genes on major cardiometabolic risk factors.

    “Large investigations pooling multiple cohorts have observed main (population) effects of either dietary influences or genes on major cardiometabolic risk factors, but evidence for interactions between diet and these genes is uncommon and, more relevantly, magnitudes of such potential interactions are often small.78-83”
  • Magnitudes of such potential gene-diet interactions are often small.

    “Large investigations pooling multiple cohorts have observed main (population) effects of either dietary influences or genes on major cardiometabolic risk factors, but evidence for interactions between diet and these genes is uncommon and, more relevantly, magnitudes of such potential interactions are often small.78-83”
  • Evidence for interactions between diet and these genes is uncommon.

    “Large investigations pooling multiple cohorts have observed main (population) effects of either dietary influences or genes on major cardiometabolic risk factors, but evidence for interactions between diet and these genes is uncommon and, more relevantly, magnitudes of such potential interactions are often small.78-83”

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Research works printed but not linked: 3

  1. N Engl J Med. 2009;360(13):1360.
  2. Gulcher J, Stefansson K. Clinical risk factors, DNA variants, and the development of type 2 diabetes [letter]. N Engl J Med. 2009;360(13):1360-1361.
  3. N Engl J Med. 2009;360(13):1361.

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Authors
Nettleton, J. A., Hivert, M.-F., Lemaitre, R. N., McKeown, N. M., Mozaffarian, D., Tanaka, T., Wojczynski, M. K., Hruby, A., Djoussé, L., Ngwa, J. S., Follis, J. L., Dimitriou, M., Ganna, A., Houston, D. K., Kanoni, S., Mikkilä, V., Manichaikul, A., Ntalla, I., Renström, F., Sonestedt, E., van Rooij, F. J. A., Bandinelli, S., de Koning, L., Ericson, U., Hassanali, N., Kiefte-de Jong, J. C., Lohman, K. K., Raitakari, O., Papoutsakis, C., Sjogren, P., Stirrups, K., Ax, E., Deloukas, P., Groves, C. J., Jacques, P. F., Johansson, I., Liu, Y., McCarthy, M. I., North, K., Viikari, J., Zillikens, M. C., Dupuis, J., Hofman, A., Kolovou, G., Mukamal, K., Prokopenko, I., Rolandsson, O., Seppälä, I., Cupples, L. A., Hu, F. B., Kähönen, M., Uitterlinden, A. G., Borecki, I. B., Ferrucci, L., Jacobs, D. R., Kritchevsky, S. B., Orho-Melander, M., Pankow, J. S., Lehtimäki, T., Witteman, J. C. M., Ingelsson, E., Siscovick, D. S., Dedoussis, G., Meigs, J. B., & Franks, P. W.
Affiliations
  • The University of Texas Health Science Center at Houston (US)
  • Université de Sherbrooke (CA)
  • United States Department of Agriculture (US)
  • Harvard University (US)
  • University of Washington (US)
  • Boston University (US)
  • University of St. Thomas - Minnesota (US)
  • Harokopio University of Athens (GR)
  • Karolinska Institutet (SE)
  • Wake Forest University (US)
  • University of Virginia (US)
  • University of Oxford (GB)
  • University of Turku (FI)
  • Uppsala University (SE)
  • Umeå University (SE)
  • University of North Carolina at Chapel Hill (US)
  • Tampere University (FI)
  • University of Minnesota (US)
Corresponding author
Nettleton, Jennifer A.
Venue
American Journal of Epidemiology
Published
2012-12-19
Volume
177
Issue
2
Pages
103-115
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W2128037741
Cited by
89
References
51
Citations by year
2026: 2 · 2025: 6 · 2024: 6 · 2023: 2 · 2022: 4 · 2021: 6 · 2020: 4 · 2019: 2 · 2018: 10 · 2017: 11 · 2016: 11 · 2015: 9 · 2014: 4 · 2013: 10 · 2012: 1
FWCI
0.94
Type
journal article
Language
en
Open access
Locations
  • American Journal of Epidemiology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • Leiden Repository (Leiden University) (submittedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
  • UNC Libraries
Funders
  • U.S. Department of Agriculture
  • Brigham and Women's Hospital
  • Massachusetts General Hospital
  • University of Minnesota
  • Helsingin Yliopisto
  • University of Washington
  • University of St. Thomas
  • Université de Sherbrooke
  • Wellcome Trust (090532)
  • University of Texas Health Science Center at Houston
  • National Institute for Health and Care Research
  • University of Oxford
  • Lunds Universitet
  • Karolinska Institutet
  • Tampereen Yliopisto
  • Umeå Universitet
  • Turun Yliopisto
  • Uppsala Universitet
  • Harokopio University
  • Novo Nordisk Fonden (NNF13OC0005781, NNF12OC1016167, NNF11OC1014855)
  • Tays
  • Turun Yliopistollinen Keskussairaala
  • National Institutes of Health (5r01hl087700-03)
  • University of North Carolina at Chapel Hill
  • Wake Forest School of Medicine
  • School of Public Health, University of Texas Health Science Center at Houston
  • Medicinska Fakulteten, Lunds Universitet
  • Medicinska fakulteten, Umeå Universitet
  • Faculty of Medicine and Health, University of Sydney
  • National Heart, Lung, and Blood Institute (R01-HL087700, R01HL105756)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01DK078616, K24DK080140)
  • School of Medicine, University of North Carolina at Chapel Hill
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
Keywords
healthy eating, fasting blood glucose, fasting insulin, gene-diet interaction, genetic loci, glucose homeostasis, diet score, whole grains, fish consumption, red and processed meat, insulin resistance, non-diabetic adults
MeSH terms
Blood Glucose, Diet, Diet Surveys, Fasting, Genetic Markers, Genotype, Homeostasis, Humans, Insulin, Biomarkers, Linear Models, Polymorphism, Single Nucleotide, Carbohydrate Metabolism, Genome-Wide Association Study, Gene-Environment Interaction

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