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Interplay between genetic predisposition, macronutrient intake and type 2 diabetes incidence: analysis within EPIC-InterAct across eight European countries

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Title: Interplay between genetic predisposition, macronutrient intake and type 2 diabetes incidence: analysis within EPIC-InterAct across eight European countries
Authors: Li, SX
Imamura, F
Schulze, MB
Zheng, J
Ye, Z
Agudo, A
Ardanaz, E
Aune, D
Boeing, H
Dorronsoro, M
Dow, C
Fagherazzi, G
Grioni, S
Gunter, MJ
Huerta, JM
Ibsen, DB
Jakobsen, MU
Kaaks, R
Key, TJ
Khaw, K-T
Kyrø, C
Mancini, FR
Molina-Portillo, E
Murphy, N
Nilsson, PM
Onland-Moret, NC
Palli, D
Panico, S
Poveda, A
Quirós, JR
Ricceri, F
Sluijs, I
Spijkerman, AMW
Tjonneland, A
Tumino, R
Winkvist, A
Langenberg, C
Sharp, SJ
Riboli, E
Scott, RA
Forouhi, NG
Wareham, NJ
Item Type: Journal Article
Abstract: AIMS/HYPOTHESIS: Gene-macronutrient interactions may contribute to the development of type 2 diabetes but research evidence to date is inconclusive. We aimed to increase our understanding of the aetiology of type 2 diabetes by investigating potential interactions between genes and macronutrient intake and their association with the incidence of type 2 diabetes. METHODS: We investigated the influence of interactions between genetic risk scores (GRSs) for type 2 diabetes, insulin resistance and BMI and macronutrient intake on the development of type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct, a prospective case-cohort study across eight European countries (N = 21,900 with 9742 incident type 2 diabetes cases). Macronutrient intake was estimated from diets reported in questionnaires, including proportion of energy derived from total carbohydrate, protein, fat, plant and animal protein, saturated, monounsaturated and polyunsaturated fat and dietary fibre. Using multivariable-adjusted Cox regression, we estimated country-specific interaction results on the multiplicative scale, using random-effects meta-analysis. Secondary analysis used isocaloric macronutrient substitution. RESULTS: No interactions were identified between any of the three GRSs and any macronutrient intake, with low-to-moderate heterogeneity between countries (I2range 0-51.6%). Results were similar using isocaloric macronutrient substitution analyses and when weighted and unweighted GRSs and individual SNPs were examined. CONCLUSIONS/INTERPRETATION: Genetic susceptibility to type 2 diabetes, insulin resistance and BMI did not modify the association between macronutrient intake and incident type 2 diabetes. This suggests that macronutrient intake recommendations to prevent type 2 diabetes do not need to account for differences in genetic predisposition to these three metabolic conditions.
Issue Date: 1-Jun-2018
Date of Acceptance: 8-Feb-2018
URI: http://hdl.handle.net/10044/1/58465
DOI: https://dx.doi.org/10.1007/s00125-018-4586-2
ISSN: 0012-186X
Publisher: Springer Verlag
Start Page: 1325
End Page: 1332
Journal / Book Title: Diabetologia
Volume: 61
Issue: 6
Copyright Statement: © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: Science & Technology
Life Sciences & Biomedicine
Endocrinology & Metabolism
BMI
Body mass index
Diabetes
Diet
Dietary fibre
Genetic risk score
GRS
Insulin resistance
Interaction
Macronutrient
CASE-COHORT
INSIGHTS
INDEX
RISK
1103 Clinical Sciences
1114 Paediatrics And Reproductive Medicine
1117 Public Health And Health Services
Publication Status: Published
Conference Place: Germany
Open Access location: https://link.springer.com/article/10.1007/s00125-018-4586-2
Online Publication Date: 2018-03-17
Appears in Collections:Faculty of Medicine
Epidemiology, Public Health and Primary Care



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