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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

Nettleton, Jennifer A. ; McKeown, Nicola M. ; Kanoni, Stavroula ; Lemaitre, Rozenn N. ; Hivert, Marie-France ; Ngwa, Julius ; van Rooij, Frank J. A. ; Sonestedt, Emily LU orcid ; Wojczynski, Mary K. and Ye, Zheng , et al. (2010) In Diabetes Care 33(12). p.2684-2691
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 similar to 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... (More)
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 similar to 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 (beta [95% Cl] per 1-serving greater whole grain intake -0 009 mmol/l glucose [-0 013 to -0 0051 P < 0 0001 and -0011 pmol/l [In] insulin [-0 015 to -0 0071 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 (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Diabetes Care
volume
33
issue
12
pages
2684 - 2691
publisher
American Diabetes Association
external identifiers
  • wos:000285666200038
  • scopus:77958562031
ISSN
1935-5548
DOI
10.2337/dc10.1150
language
English
LU publication?
yes
id
e718a0d5-4f42-4735-b9f1-d8ac69174255 (old id 1811484)
date added to LUP
2016-04-01 14:44:25
date last changed
2025-04-04 14:58:40
@article{e718a0d5-4f42-4735-b9f1-d8ac69174255,
  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 similar to 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 &lt;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 (beta [95% Cl] per 1-serving greater whole grain intake -0 009 mmol/l glucose [-0 013 to -0 0051 P &lt; 0 0001 and -0011 pmol/l [In] insulin [-0 015 to -0 0071 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}},
  author       = {{Nettleton, Jennifer A. and McKeown, Nicola M. and Kanoni, Stavroula and Lemaitre, Rozenn N. and Hivert, Marie-France and Ngwa, Julius and van Rooij, Frank J. A. and Sonestedt, Emily and Wojczynski, Mary K. and Ye, Zheng and Tanaka, Tosh}},
  issn         = {{1935-5548}},
  language     = {{eng}},
  number       = {{12}},
  pages        = {{2684--2691}},
  publisher    = {{American Diabetes Association}},
  series       = {{Diabetes Care}},
  title        = {{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}},
  url          = {{http://dx.doi.org/10.2337/dc10.1150}},
  doi          = {{10.2337/dc10.1150}},
  volume       = {{33}},
  year         = {{2010}},
}