BACKGROUND: A widely held hypothesis is that interactions between genetic predisposition and Western-type lifestyle contribute to the epidemic of type 2 diabetes (T2D). No study has tested this hypothesis. OBJECTIVE: The objective was to assess whether established genetic variants, mainly from genomewide association studies, modify dietary patterns in predicting diabetes risk. DESIGN: We determined 10 polymorphisms in a prospective, nested, case-control study of 1196 diabetic and 1337 nondiabetic men. A genetic risk score (GRS) was generated by using an allele counting method. Baseline dietary intakes were collected by using a semiquantitative food-frequency questionnaire. We used factor analysis to derive Western and "Prudent" dietary patterns from 40 food groups. RESULTS: A significant interaction (P = 0.02) was observed between the GRS and Western dietary pattern. The multivariable odds ratios (ORs) of T2D across increasing quartiles for the Western dietary pattern were 1.00, 1.23 (95% CI: 0.88, 1.73), 1.49 (1.06,2.09), and 2.06 (1.48, 2.88) among men with a high GRS (>/=12 risk alleles; P for trend = 0.01). The Western dietary pattern was not associated with diabetes risk among those with a lower GRS. In addition, we found that intakes of processed meat, red meat, and heme iron, which characterized the Western dietary pattern, showed significant interactions with GRS in relation to diabetes risk (P for interaction = 0.029, 0.02, and 0.0004, respectively). The diet-diabetes associations were more evident among men with a high GRS (>/=12) than in those with a low GRS. CONCLUSION: Genetic predisposition may synergistically interact with a Western dietary pattern in determining diabetes risk in men.
BACKGROUND: A widely held hypothesis is that interactions between genetic predisposition and Western-type lifestyle contribute to the epidemic of type 2 diabetes (T2D). No study has tested this hypothesis. OBJECTIVE: The objective was to assess whether established genetic variants, mainly from genomewide association studies, modify dietary patterns in predicting diabetes risk. DESIGN: We determined 10 polymorphisms in a prospective, nested, case-control study of 1196 diabetic and 1337 nondiabetic men. A genetic risk score (GRS) was generated by using an allele counting method. Baseline dietary intakes were collected by using a semiquantitative food-frequency questionnaire. We used factor analysis to derive Western and "Prudent" dietary patterns from 40 food groups. RESULTS: A significant interaction (P = 0.02) was observed between the GRS and Western dietary pattern. The multivariable odds ratios (ORs) of T2D across increasing quartiles for the Western dietary pattern were 1.00, 1.23 (95% CI: 0.88, 1.73), 1.49 (1.06,2.09), and 2.06 (1.48, 2.88) among men with a high GRS (>/=12 risk alleles; P for trend = 0.01). The Western dietary pattern was not associated with diabetes risk among those with a lower GRS. In addition, we found that intakes of processed meat, red meat, and hemeiron, which characterized the Western dietary pattern, showed significant interactions with GRS in relation to diabetes risk (P for interaction = 0.029, 0.02, and 0.0004, respectively). The diet-diabetes associations were more evident among men with a high GRS (>/=12) than in those with a low GRS. CONCLUSION: Genetic predisposition may synergistically interact with a Western dietary pattern in determining diabetes risk in men.
Authors: Matthias B Schulze; Kurt Hoffmann; JoAnn E Manson; Walter C Willett; James B Meigs; Cornelia Weikert; Christin Heidemann; Graham A Colditz; Frank B Hu Journal: Am J Clin Nutr Date: 2005-09 Impact factor: 7.045
Authors: Robert Sladek; Ghislain Rocheleau; Johan Rung; Christian Dina; Lishuang Shen; David Serre; Philippe Boutin; Daniel Vincent; Alexandre Belisle; Samy Hadjadj; Beverley Balkau; Barbara Heude; Guillaume Charpentier; Thomas J Hudson; Alexandre Montpetit; Alexey V Pshezhetsky; Marc Prentki; Barry I Posner; David J Balding; David Meyre; Constantin Polychronakos; Philippe Froguel Journal: Nature Date: 2007-02-11 Impact factor: 49.962
Authors: F B Hu; E Rimm; S A Smith-Warner; D Feskanich; M J Stampfer; A Ascherio; L Sampson; W C Willett Journal: Am J Clin Nutr Date: 1999-02 Impact factor: 7.045
Authors: T P Tuomainen; K Nyyssönen; R Salonen; A Tervahauta; H Korpela; T Lakka; G A Kaplan; J T Salonen Journal: Diabetes Care Date: 1997-03 Impact factor: 19.112
Authors: Lu Qi; Tricia Li; Eric Rimm; Cuilin Zhang; Nader Rifai; David Hunter; Alessandro Doria; Frank B Hu Journal: Diabetes Date: 2005-05 Impact factor: 9.461
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Authors: Valgerdur Steinthorsdottir; Gudmar Thorleifsson; Inga Reynisdottir; Rafn Benediktsson; Thorbjorg Jonsdottir; G Bragi Walters; Unnur Styrkarsdottir; Solveig Gretarsdottir; Valur Emilsson; Shyamali Ghosh; Adam Baker; Steinunn Snorradottir; Hjordis Bjarnason; Maggie C Y Ng; Torben Hansen; Yu Bagger; Robert L Wilensky; Muredach P Reilly; Adebowale Adeyemo; Yuanxiu Chen; Jie Zhou; Vilmundur Gudnason; Guanjie Chen; Hanxia Huang; Kerrie Lashley; Ayo Doumatey; Wing-Yee So; Ronald C Y Ma; Gitte Andersen; Knut Borch-Johnsen; Torben Jorgensen; Jana V van Vliet-Ostaptchouk; Marten H Hofker; Cisca Wijmenga; Claus Christiansen; Daniel J Rader; Charles Rotimi; Mark Gurney; Juliana C N Chan; Oluf Pedersen; Gunnar Sigurdsson; Jeffrey R Gulcher; Unnur Thorsteinsdottir; Augustine Kong; Kari Stefansson Journal: Nat Genet Date: 2007-04-26 Impact factor: 38.330
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Authors: Dominick J Lemas; Yann C Klimentidis; Howard H Wiener; Diane M O'Brien; Scarlett E Hopkins; David B Allison; Jose R Fernandez; Hemant K Tiwari; Bert B Boyer Journal: Genes Nutr Date: 2013-03-23 Impact factor: 5.523