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
Year: 2017
Type: review
Abstract: 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. We aimed to identify existing evidence for gene-macronutrient interactions and T2D and to examine the reported interactions in a large-scale study. 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. Thirteen observational studies met the eligibility criteria (n < 1700 cases). Eight unique interactions were reported to be significant between macronutrients [carbohydrate, fat, saturated fat, dietary fiber, and glycemic load derived from self-report of dietary intake and circulating n–3 (ω-3) polyunsaturated fatty acids] and genetic variants in or near transcription factor 7–like 2 (TCF7L2), gastric inhibitory polypeptide receptor (GIPR), caveolin 2 (CAV2), and peptidase D (PEPD) (P-interaction < 0.05). We found no evidence of interaction when we tried to replicate previously reported interactions. In addition, no interactions were detected in models with additional covariates. Eight gene-macronutrient interactions were identified for the risk of T2D from the literature. These interactions were not replicated in the EPIC-InterAct study, which mirrored the analyses undertaken in the original reports. Our findings highlight the importance of independent replication of reported interactions.
Authors: Sherly X Li, Fumiaki Imamura, Zheng Ye, Matthias B Schulze, Jusheng Zheng, Eva Ardanaz, Larraitz Arriola, Heiner Boeing, Courtney Dow, Guy Fagherazzi, Paul W Franks, Antonio Agudo, Sara Grioni, Rudolf Kaaks, Verena A Katzke, Timothy J Key, Kay Tee Khaw, Francesca R Mancini, Carmen Navarro, Peter M Nilsson, N Charlotte Onland-Moret, Kim Overvad, Domenico Palli, Salvatore Panico, J Ramón Quirós, Olov Rolandsson, Carlotta Sacerdote, María-José Sánchez, Nadia Slimani, Ivonne Sluijs, Annemieke MW Spijkerman, Anne Tjonneland, Rosario Tumino, Stephen J Sharp, Elio Riboli, Claudia Langenberg, Robert A Scott, Nita G Forouhi, Nicholas J Wareham
Institutions: University of Cambridge, MRC Epidemiology Unit, German Center for Diabetes Research, German Institute of Human Nutrition, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Basque Government, Biogipuzkoa Health Research Institute, Université Paris-Sud, Inserm, Institut Gustave Roussy, Centre de recherche en Epidémiologie et Santé des Populations, Lund University, Umeå University, Institut Català d'Oncologia, German Cancer Research Center, University of Oxford, Instituto Murciano de Investigación Biosanitaria, Universidad de Murcia, University Medical Center Utrecht, Aarhus University, Aalborg University Hospital, Istituto per lo Studio e la Prevenzione Oncologica, Federico II University Hospital, University of Naples Federico II, Gobierno del Principado de Asturias, Italian institute for Genomic Medicine, Piedmont Reference Center for Epidemiology and Cancer Prevention, University of Turin, Instituto de Investigación Biosanitaria de Granada, Andalusian School of Public Health, Centre international de recherche sur le cancer, National Institute for Public Health and the Environment, Danish Cancer Society, Medical Research Council, Imperial College London
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $5,668
Funders: World Health Organization, Compagnia di San Paolo, Deutsches Krebsforschungszentrum, Cancer Research UK, National Institute for Health and Care Research, Imperial College London, Commonwealth Scholarship Commission, Bundesministerium für Bildung und Forschung, Cambridge Trust, Universitair Medisch Centrum Utrecht, Hjärt-Lungfonden, Novo Nordisk, Vetenskapsrådet, Deutsche Krebshilfe, Medical Research Council, World Cancer Research Fund, Agentschap NL
Awards: Aetiology of type 2 diabetes and related metabolic disorders, Nutritional epidemiology, G2826529823, G2892497062, G3811008989, G4145331238, G4990591557, G5484966593, G5897142711, NIHR Senior Investigator Award, G6594529311, G6723261869, G6957823285, G8102615189, NIHR Senior Investigator Award, G899966268
OpenAlex ID: W2621681207