RT Journal Article
T1 Interaction between genes and macronutrient intake on the risk of developing type 2 diabetes: systematic review and findings from European Prospective Investigation into Cancer (EPIC)-InterAct.
A1 Li, Sherly X
A1 Imamura, Fumiaki
A1 Ye, Zheng
A1 Schulze, Matthias B
A1 Zheng, Jusheng
A1 Ardanaz, Eva
A1 Arriola, Larraitz
A1 Boeing, Heiner
A1 Dow, Courtney
A1 Fagherazzi, Guy
A1 Franks, Paul W
A1 Agudo, Antonio
A1 Grioni, Sara
A1 Kaaks, Rudolf
A1 Katzke, Verena A
A1 Key, Timothy J
A1 Khaw, Kay Tee
A1 Mancini, Francesca R
A1 Navarro, Carmen
A1 Nilsson, Peter M
A1 Onland-Moret, N Charlotte
A1 Overvad, Kim
A1 Palli, Domenico
A1 Panico, Salvatore
A1 Quirós, J Ramón
A1 Rolandsson, Olov
A1 Sacerdote, Carlotta
A1 Sanchez-Perez, Maria-Jose
A1 Slimani, Nadia
A1 Sluijs, Ivonne
A1 Spijkerman, Annemieke Mw
A1 Tjonneland, Anne
A1 Tumino, Rosario
A1 Sharp, Stephen J
A1 Riboli, Elio
A1 Langenberg, Claudia
A1 Scott, Robert A
A1 Forouhi, Nita G
A1 Wareham, Nicholas J
K1 diabetes
K1 diet
K1 effect modification
K1 gene
K1 interaction
K1 macronutrient
K1 replication
K1 systematic review
AB Background: Gene-diet interactions have been reported to contribute to the development of type 2 diabetes (T2D). However, to our knowledge, few examples have been consistently replicated to date.Objective: We aimed to identify existing evidence for gene-macronutrient interactions and T2D and to examine the reported interactions in a large-scale study.Design: We systematically reviewed studies reporting gene-macronutrient interactions and T2D. We searched the MEDLINE, Human Genome Epidemiology Network, and WHO International Clinical Trials Registry Platform electronic databases to identify studies published up to October 2015. Eligibility criteria included assessment of macronutrient quantity (e.g., total carbohydrate) or indicators of quality (e.g., dietary fiber) by use of self-report or objective biomarkers of intake. Interactions identified in the review were subsequently examined in the EPIC (European Prospective Investigation into Cancer)-InterAct case-cohort study (n = 21,148, with 9403 T2D cases; 8 European countries). Prentice-weighted Cox regression was used to estimate country-specific HRs, 95% CIs, and P-interaction values, which were then pooled by random-effects meta-analysis. A primary model was fitted by using the same covariates as reported in the published studies, and a second model adjusted for additional covariates and estimated the effects of isocaloric macronutrient substitution.Results: Thirteen observational studies met the eligibility criteria (n
YR 2017
FD 2017-06-07
LK http://hdl.handle.net/10668/11282
UL http://hdl.handle.net/10668/11282
LA en
DS RISalud
RD Apr 6, 2025