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Design and cohort description of the InterAct Project: an examination of the interaction of genetic and lifestyle factors on the incidence of type 2 diabetes in the EPIC Study
Open accessAbstract
Aims/hypothesis Studying gene-lifestyle interaction may help to identify lifestyle factors that modify genetic susceptibility and uncover genetic loci exerting important subgroup effects. Adequately powered studies with prospective, unbiased, standardised assessment of key behavioural factors for gene-lifestyle studies are lacking. This case-cohort study aims to investigate how genetic and potentially modifiable lifestyle and behavioural factors, particularly diet and physical activity, interact in their influence on the risk of developing type 2 diabetes.Methods Incident cases of type 2 diabetes occurring in European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts between 1991 and 2007 from eight of the ten EPIC countries were ascertained and verified. Prentice-weighted Cox regression and random-effects meta-analyses were used to investigate differences in diabetes incidence by age and sex.Results A total of 12,403 verified incident cases of type 2 diabetes occurred during 3.99 million person-years of follow-up of 340,234 EPIC participants eligible for InterAct. We defined a centre-stratified subcohort of 16,154 individuals for comparative analyses. Individuals with incident diabetes who were randomly selected into the subcohort (n = 778) were included as cases in the analyses. All prevalent diabetes cases were excluded from the study. InterAct cases were followed-up for an average of 6.9 years; 49.7% were men. Mean baseline age and age at diagnosis were 55.6 and 62.5 years, mean BMI and waist circumference values were 29.4 kg/m(2) and 102.7 cm in men, and 30.1 kg/m(2) and 92.8 cm in women, respectively. Risk of type 2 diabetes increased linearly with age, with an overall HR of 1.56 (95% CI 1.48-1.64) for a 10 year age difference, adjusted for sex. A male excess in the risk of incident diabetes was consistently observed across all countries, with a pooled HR of 1.51 (95% CI 1.39-1.64), adjusted for age.Conclusions/interpretation InterAct is a large, well-powered, prospective study that will inform our understanding of the interplay between genes and lifestyle factors on the risk of type 2 diabetes development.
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Cites
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297
Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
Global estimates of the prevalence of diabetes for 2010 and 2030
Shaw, J. E., Sicree, R. A., & Zimmet, P. Z. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.10.007 · Cited by 7,216
A genome-wide association study identifies novel risk loci for type 2 diabetes
Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., et al. (2007) · Nature · doi:10.1038/nature05616 · Cited by 2,993
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., et al. (2007) · Science · doi:10.1126/science.1142358 · Cited by 2,843
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
Scott, L. J., Mohlke, K. L., Bonnycastle, L. L., Willer, C. J., Li, Y., Duren, W. L., Erdos, M. R., Stringham, H. M., Chines, P. S., Jackson, A. U., et al. (2007) · Science · doi:10.1126/science.1142382 · Cited by 2,753
Replication of Genome-Wide Association Signals in UK Samples Reveals Risk Loci for Type 2 Diabetes
Zeggini, E., Weedon, M. N., Lindgren, C. M., Frayling, T. M., Elliott, K. S., Lango, H., Timpson, N. J., Perry, J. R. B., Rayner, N. W., Freathy, R. M., et al. (2007) · Science · doi:10.1126/science.1142364 · Cited by 2,194
General and abdominal adiposity and risk of death in Europe
Pischon, T., Boeing, H., Hoffmann, K., Bergmann, M., Schulze, M. B., Overvad, K., van der Schouw, Y. T., Spencer, E., Moons, K. G. M., Tjønneland, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801891 · Cited by 2,155
Riboli, E., Hunt, K., Slimani, N., Ferrari, P., Norat, T., Fahey, M., Charrondière, U., Hémon, B., Casagrande, C., Vignat, J., et al. (2002) · Public Health Nutrition · doi:10.1079/phn2002394 · Cited by 1,866
Wellcome Trust Case Control Consortium, Zeggini, E., Scott, L. J., Saxena, R., Voight, B. F., Marchini, J. L., Hu, T., de Bakker, P. I., Abecasis, G. R., Almgren, P., et al. (2008) · Nature Genetics · doi:10.1038/ng.120 · Cited by 1,864
Cited by
Sorted by citations
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
Benjamin, E. J., Blaha, M. J., Chiuve, S. E., Cushman, M., Das, S. R., Deo, R., de Ferranti, S. D., Floyd, J., Fornage, M., Gillespie, C., et al. (2017) · Circulation · doi:10.1161/cir.0000000000000485 · Cited by 12,591
Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000350 · Cited by 6,596
Heart Disease and Stroke Statistics—2015 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., de Ferranti, S., Després, J.-P., Fullerton, H. J., Howard, V. J., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000152 · Cited by 5,797
EPIC- InterAct Consortium, Burgess, S., Scott, R. A., Timpson, N. J., Davey Smith, G., & Thompson, S. G. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0011-z · Cited by 1,803
The genetic architecture of type 2 diabetes
Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., et al. (2016) · Nature · doi:10.1038/nature18642 · Cited by 1,051
An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans
Scott, R. A., Scott, L. J., Mägi, R., Marullo, L., Gaulton, K. J., Kaakinen, M., Pervjakova, N., Pers, T. H., Johnson, A. D., Eicher, J. D., et al. (2017) · Diabetes · doi:10.2337/db16-1253 · Cited by 708
Holmes, M. V., Dale, C. E., Zuccolo, L., Silverwood, R. J., Guo, Y., Ye, Z., Prieto-Merino, D., Dehghan, A., Trompet, S., Wong, A., et al. (2014) · BMJ · doi:10.1136/bmj.g4164 · Cited by 669
Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
Study, A. O. C., Perry, J. R. B., The GENICA Network, kConFab, Study, T. L. C., The InterAct Consortium, Early Growth Genetics (EGG) Consortium, Day, F., Elks, C. E., Sulem, P., et al. (2014) · Nature · doi:10.1038/nature13545 · Cited by 604
Lotta, L. A., Gulati, P., Day, F. R., Payne, F., Ongen, H., van de Bunt, M., Gaulton, K. J., Eicher, J. D., Sharp, S. J., Luan, J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3714 · Cited by 599
Forouhi, N. G., Koulman, A., Sharp, S. J., Imamura, F., Kröger, J., Schulze, M. B., Crowe, F. L., Huerta, J. M., Guevara, M., Beulens, J. W., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70146-9 · Cited by 557
Burgess, S., Daniel, R. M., Butterworth, A. S., Thompson, S. G., & the EPIC-InterAct Consortium (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyu176 · Cited by 543
The InterAct Consortium (2015) · Diabetologia · doi:10.1007/s00125-015-3585-9 · Cited by 476
Self-citationLotta, L. A., Scott, R. A., Sharp, S. J., Burgess, S., Luan, J., Tillin, T., Schmidt, A. F., Imamura, F., Stewart, I. D., Perry, J. R. B., et al. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002179 · Cited by 417
Lotta, L. A., Sharp, S. J., Burgess, S., Perry, J. R. B., Stewart, I. D., Willems, S. M., Luan, J., Ardanaz, E., Arriola, L., Balkau, B., et al. (2016) · JAMA · doi:10.1001/jama.2016.14568 · Cited by 394
Freisling, H., Viallon, V., Lennon, H., Bagnardi, V., Ricci, C., Butterworth, A. S., Sweeting, M., Muller, D., Romieu, I., Bazelle, P., et al. (2020) · BMC Medicine · doi:10.1186/s12916-019-1474-7 · Cited by 376
The InterAct Consortium (614230) (2012) · Diabetologia · doi:10.1007/s00125-012-2715-x · Cited by 355
Abbasi, A., Peelen, L. M., Corpeleijn, E., van der Schouw, Y. T., Stolk, R. P., Spijkerman, A. M. W., van der A, D. L., Moons, K. G. M., Navis, G., Bakker, S. J. L., et al. (2012) · BMJ · doi:10.1136/bmj.e5900 · Cited by 321
The InterAct Consortium (614230) (2013) · Diabetologia · doi:10.1007/s00125-013-2899-8 · Cited by 301
Human gain-of-function MC4R variants show signaling bias and protect against obesity
Lotta, L. A., Mokrosiński, J., Mendes de Oliveira, E., Li, C., Sharp, S. J., Luan, J., Brouwers, B., Ayinampudi, V., Bowker, N., Kerrison, N., et al. (2019) · Cell · doi:10.1016/j.cell.2019.03.044 · Cited by 284
Fruit and vegetable intake and type 2 diabetes: EPIC-InterAct prospective study and meta-analysis
Cooper, A., Forouhi, N. G., Ye, Z., Buijsse, B., Arriola, L., Balkau, B., Barricarte, A., Beulens, J. W. J., Boeing, H., Büchner, F. L., et al. (2012) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.85 · Cited by 282
Tamayo, T., Rosenbauer, J., Wild, S. H., Spijkerman, A. M. W., Baan, C. A., Forouhi, N. G., Herder, C., & Rathmann, W. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.007 · Cited by 267
Lotta, L. A., Wittemans, L. B. L., Zuber, V., Stewart, I. D., Sharp, S. J., Luan, J., Day, F. R., Li, C., Bowker, N., Cai, L., et al. (2018) · JAMA · doi:10.1001/jama.2018.19329 · Cited by 229
Age at Menopause, Reproductive Life Span, and Type 2 Diabetes Risk
Brand, J. S., van der Schouw, Y. T., Onland‐Moret, N. C., Sharp, S. J., Ong, K. K., Khaw, K., Ardanáz, E., Amiano, P., Boeing, H., Chirlaque, M., et al. (2012) · Diabetes Care · doi:10.2337/dc12-1020 · Cited by 245
Kuhn, T. E., Floegel, A., Sookthai, D., Johnson, T., Rolle-Kampczyk, U. E., Otto, W., von Bergen�, M., Boeing, H., & Kaaks, R. (2016) · BMC Medicine · doi:10.1186/s12916-016-0552-3 · Cited by 247
Gene-Lifestyle Interaction and Type 2 Diabetes: The EPIC InterAct Case-Cohort Study
Langenberg, C., Sharp, S. J., Franks, P. W., Scott, R. A., Deloukas, P., Forouhi, N. G., Froguel, P., Groop, L., Hansen, T. F., Palla, L., et al. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001647 · Cited by 237
Legler, J., Fletcher, T., Govarts, E., Porta, M. S., Blumberg, B., Heindel, J. J., & Trasande, L. (2015) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-4326 · Cited by 238
Sluijs, I., Forouhi, N. G., Beulens, J. W., van der Schouw, Y. T., Agnoli, C., Arriola, L., Balkau, B., Barricarte, A., Boeing, H., Bueno-de-Mesquita, H. B., et al. (2012) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.021907 · Cited by 223
The InterAct Consortium (614230) (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001230 · Cited by 224
Forouhi, N. G., Imamura, F., Sharp, S. J., Koulman, A., Schulze, M. B., Zheng, J., Ye, Z., Sluijs, I., Guevara, M., Huerta, J. M., et al. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002094 · Cited by 208
Instrumental Variable Analysis with a Nonlinear Exposure–Outcome Relationship
Burgess, S., Davies, N. M., & Thompson, S. G. (2014) · Epidemiology · doi:10.1097/ede.0000000000000161 · Cited by 210
Sacerdote, C., Ricceri, F., Rolandsson, O., Baldi, I., Chirlaque, M., Feskens, E. J. M., Bendinelli, B., Ardanáz, E., Arriola, L., Balkau, B., et al. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dys091 · Cited by 213
Østergaard, S. D., Mukherjee, S., Sharp, S. J., Proitsi, P., Lotta, L. A., Day, F., Perry, J. R. B., Boehme, K. L., Walter, S., Kauwe, J. S., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001841 · Cited by 203
The InterAct Consortium (2011) · Diabetes Care · doi:10.2337/dc11-0891 · Cited by 207
Self-citationSofianopoulou, E., Kaptoge, S. K., Afzal, S., Jiang, T., Gill, D., Gundersen, T. E., Bolton, T. R., Allara, E., Arnold, M., Mason, A. M., et al. (2021) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00263-1 · Cited by 187
RetractedYe, Z., Sharp, S. J., Burgess, S., Scott, R. A., Imamura, F., Langenberg, C., Wareham, N. J., & Forouhi, N. G. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70184-6 · Cited by 190
Age at Menarche and Type 2 Diabetes Risk
Elks, C. E., Ong, K. K., Scott, R. A., van der Schouw, Y. T., Brand, J. S., Wark, P. A., Amiano, P., Balkau, B., Barricarte, A., Boeing, H., et al. (2013) · Diabetes Care · doi:10.2337/dc13-0446 · Cited by 186
Ahmad, S., Rukh, G., Varga, T. V., Ali, A., Kurbasic, A., Shungin, D., Ericson, U., Koivula, R. W., Chu, A. Y., Rose, L. M., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003607 · Cited by 185
van Nielen, M., Feskens, E. J. M., Mensink, M., Sluijs, I., Molina‐Montes, E., Amiano, P., Ardanáz, E., Balkau, B., Beulens, J. W. J., Boeing, H., et al. (2014) · Diabetes Care · doi:10.2337/dc13-2627 · Cited by 183
Scott, R. A., Fall, T., Pasko, D., Barker, A., Sharp, S. J., Arriola, L., Balkau, B., Barricarte, A., Barroso, I., Boeing, H., et al. (2014) · Diabetes · doi:10.2337/db14-0319 · Cited by 173
Kengne, A. P., Beulens, J. W. J., Peelen, L. M., Moons, K. G. M., van der Schouw, Y. T., Schulze, M. B., Spijkerman, A. M. W., Griffin, S. J., Grobbee, D. E., Palla, L., et al. (2013) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70103-7 · Cited by 173
Zheng, J., Sharp, S. J., Imamura, F., Chowdhury, R., Gundersen, T. E., Steur, M., Sluijs, I., van der Schouw, Y. T., Agudo, A., Aune, D., et al. (2020) · BMJ · doi:10.1136/bmj.m2194 · Cited by 169
Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study
The InterAct Consortium (2013) · Diabetologia · doi:10.1007/s00125-012-2718-7 · Cited by 154
Zamora‐Ros, R., Forouhi, N. G., Sharp, S. J., Gonzalez, C. A., Buijsse, B., Guevara, M., van der Schouw, Y. T., Amiano, P., Boeing, H., Bredsdorff, L., et al. (2013) · Journal of Nutrition · doi:10.3945/jn.113.184945 · Cited by 150
Gusarova, V., O’Dushlaine, C., Teslovich, T. M., Benotti, P. N., Mirshahi, T., Gottesman, O., Van Hout, C. V., Murray, M. F., Mahajan, A., Nielsen, J. B., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04611-z · Cited by 145
Zheng, J., Luan, J., Sofianopoulou, E., Imamura, F., Stewart, I. D., Day, F. R., Pietzner, M., Wheeler, E., Lotta, L. A., Gundersen, T. E., et al. (2020) · Diabetes Care · doi:10.2337/dc20-1328 · Cited by 142
† (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00034-0 · Cited by 133
Assessing the causal association of glycine with risk of cardio-metabolic diseases
Wittemans, L. B. L., Lotta, L. A., Oliver‐Williams, C., Stewart, I. D., Surendran, P., Karthikeyan, S., Day, F. R., Koulman, A., Imamura, F., Zeng, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08936-1 · Cited by 132
Zamora‐Ros, R., Forouhi, N. G., Sharp, S. J., Gonzalez, C. A., Buijsse, B., Guevara, M., van der Schouw, Y. T., Amiano, P., Boeing, H., Bredsdorff, L., et al. (2013) · Diabetes Care · doi:10.2337/dc13-0877 · Cited by 136
Cardona, A., Day, F. R., Perry, J. R. B., Loh, M. C. S., Chu, A. Y., Lehne, B. C., Paul, D. S., Lotta, L. A., Stewart, I. D., Kerrison, N. D., et al. (2019) · Diabetes · doi:10.2337/db18-0290 · Cited by 129
Yaghootkar, H., Lamina, C., Scott, R. A., Dastani, Z., Hivert, M., Warren, L. L., Stančáková, A., Buxbaum, S. G., Lyytikäinen, L., Henneman, P., et al. (2013) · Diabetes · doi:10.2337/db13-0128 · Cited by 121
A Mendelian Randomization Study of Circulating Uric Acid and Type 2 Diabetes
Sluijs, I., Holmes, M. V., van der Schouw, Y. T., Beulens, J. W. J., Asselbergs, F. W., Huerta, J. M., Palmer, T., Arriola, L., Balkau, B., Barricarte, A., et al. (2015) · Diabetes · doi:10.2337/db14-0742 · Cited by 121
Scott, R. A., Freitag, D. F., Li, L., Chu, A. Y., Surendran, P., Young, R., Grarup, N., Stančáková, A., Chen, Y., Varga, T. V., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad3744 · Cited by 115
Dalton, A. M., Jones, A. P., Sharp, S. J., Cooper, A. J. M., Griffin, S., & Wareham, N. J. (2016) · BMC Public Health · doi:10.1186/s12889-016-3833-z · Cited by 111
Circulating Selenium and Prostate Cancer Risk: A Mendelian Randomization Analysis
Yarmolinsky, J., Bonilla, C., Haycock, P., Langdon, R., Lotta, L. A., Langenberg, C., Relton, C. L., Lewis, S. J., Evans, D. M., Smith, G. D., et al. (2018) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djy081 · Cited by 107
Dietary antioxidant capacity and risk of type 2 diabetes in the large prospective E3N-EPIC cohort
Mancini, F. R., Affret, A., Dow, C., Balkau, B., Bonnet, F., Boutron‐Ruault, M., & Fagherazzi, G. (2017) · Diabetologia · doi:10.1007/s00125-017-4489-7 · Cited by 106
Sluijs, I., Beulens, J. W. J., van der Schouw, Y. T., van der A, D. L., Buckland, G., Kuijsten, A., Schulze, M. B., Amiano, P., Ardanáz, E., Balkau, B., et al. (2012) · Journal of Nutrition · doi:10.3945/jn.112.165605 · Cited by 106
Floegel, A., Kuhn, T. E., Sookthai, D., Johnson, T., Prehn, C. P., Rolle-Kampczyk, U. E., Otto, W., Weikert, C., Illig, T., von Bergen�, M., et al. (2017) · European Journal of Epidemiology · doi:10.1007/s10654-017-0333-0 · Cited by 103
Ricci, C., Wood, A., Muller, D. C., Gunter, M. J., Agudo, A., Boeing, H., van der Schouw, Y. T., Warnakula, S., Saieva, C., Spijkerman, A. M. W., et al. (2018) · BMJ · doi:10.1136/bmj.k934 · Cited by 102
Li, C., Bishop, T. R. P., Imamura, F., Sharp, S. J., Pearce, M., Brage, S., Ong, K. K., Ahsan, H., Bes‐Rastrollo, M., Beulens, J. W. J., et al. (2024) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(24)00179-7 · Cited by 105
The InterAct Consortium (614230) (2012) · Diabetologia · doi:10.1007/s00125-012-2532-2 · Cited by 91
Very long-chain saturated fatty acids and diabetes and cardiovascular disease
Lemaître, R. N., & King, I. B. (2021) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000806 · Cited by 90
The InterAct Consortium (2013) · Diabetologia · doi:10.1007/s00125-013-3092-9 · Cited by 91
Self-citationLotta, L. A., Abbasi, A., Sharp, S. J., Sahlqvist, A., Waterworth, D. M., Brosnan, J. M., Scott, R. A., Langenberg, C., & Wareham, N. J. (2015) · Diabetes Care · doi:10.2337/dc15-1218 · Cited by 89
Tong, T. Y. N., Appleby, P. N., Key, T. J., Dahm, C. C., Overvad, K., Olsen, A., Tjønneland, A. M., Katzke, V. A., Kuhn, T. E., Boeing, H., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa007 · Cited by 90
Dam, V., van der Schouw, Y. T., Onland‐Moret, N. C., Groenwold, R. H. H., Peters, S. A. E., Burgess, S., Wood, A., Chirlaque, M., Moons, K. G. M., Oliver‐Williams, C., et al. (2019) · International Journal of Epidemiology · doi:10.1093/ije/dyz016 · Cited by 87
Association of Multiple Biomarkers of Iron Metabolism and Type 2 Diabetes: The EPIC-InterAct Study
Podmore, C., Meidtner, K., Schulze, M. B., Scott, R. A., Ramond, A., Butterworth, A. S., Angelantonio, E. D., Danesh, J., Arriola, L., Barricarte, A., et al. (2016) · Diabetes Care · doi:10.2337/dc15-0257 · Cited by 86
Parity, breastfeeding and risk of coronary heart disease: A pan-European case–cohort study
Peters, S. A., van der Schouw, Y. T., Wood, A. M., Sweeting, M. J., Moons, K. G., Weiderpass, E., Arriola, L., Benetou, V., Boeing, H., Bonnet, F., et al. (2016) · European Journal of Preventive Cardiology · doi:10.1177/2047487316658571 · Cited by 80
Gene × Environment Interactions in Type 2 Diabetes
Franks, P. W. (2011) · Current Diabetes Reports · doi:10.1007/s11892-011-0224-9 · Cited by 78
Lotta, L. A., Stewart, I. D., Sharp, S. J., Day, F. R., Burgess, S., Luan, J., Bowker, N., Cai, L., Li, C., Wittemans, L. B. L., et al. (2018) · JAMA Cardiology · doi:10.1001/jamacardio.2018.2866 · Cited by 72
Sofianopoulou, E., Kaptoge, S. K., Afzal, S., Jiang, T., Gill, D., Gundersen, T. E., Bolton, T. R., Allara, E., Arnold, M., Mason, A. M., et al. (2023) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(23)00287-5 · Cited by 87
Smoking and Long-Term Risk of Type 2 Diabetes: The EPIC-InterAct Study in European Populations
Spijkerman, A. M. W., van der A, D. L., Nilsson, P. M., Ardanáz, E., Gavrila, D., Agudo, A., Arriola, L., Balkau, B., Beulens, J. W. J., Boeing, H., et al. (2014) · Diabetes Care · doi:10.2337/dc14-1020 · Cited by 84
Patel, P. S., Forouhi, N. G., Kuijsten, A., Schulze, M. B., Woudenbergh, G. J. G.-V., Ardanáz, E., Amiano, P., Arriola, L., Balkau, B., Barricarte, A., et al. (2012) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.111.029314 · Cited by 79
Picavet, H. S. J., Blokstra, A., Spijkerman, A. M. W., & Verschuren, W. M. M. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyx103 · Cited by 78
Beulens, J. W. J., van der Schouw, Y. T., Bergmann, M. M., Rohrmann, S., Schulze, M. B., Buijsse, B., Grobbee, D. E., Arriola, L., Cauchi, S., Tormo, M. J., et al. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2012.02532.x · Cited by 77
Zheng, J., Sharp, S. J., Imamura, F., Koulman, A., Schulze, M. B., Ye, Z., Griffin, J., Guevara, M., Huerta, J. M., Kröger, J., et al. (2017) · BMC Medicine · doi:10.1186/s12916-017-0968-4 · Cited by 81
Jiang, L., Wang, K., Lo, K. K.-H., Zhong, Y., Yang, A., Fang, X., Akezhuoli, H., Song, Z., Chen, L., An, P., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2019-00495 · Cited by 76
Tea Consumption and Incidence of Type 2 Diabetes in Europe: The EPIC-InterAct Case-Cohort Study
The InterAct Consortium (2012) · PLoS ONE · doi:10.1371/journal.pone.0036910 · Cited by 77
Self-citationBrand, J. S., Onland‐Moret, N. C., Eijkemans, M. J. C., Tjønneland, A. M., Roswall, N., Overvad, K., Fagherazzi, G., Clavel‐Chapelon, F., Dossus, L., Lukanova, A., et al. (2015) · Human Reproduction · doi:10.1093/humrep/dev054 · Cited by 76
Zheng, J., Luan, J., Sofianopoulou, E., Sharp, S. J., Day, F. R., Imamura, F., Gundersen, T. E., Lotta, L. A., Sluijs, I., Stewart, I. D., et al. (2020) · PLoS Medicine · doi:10.1371/journal.pmed.1003394 · Cited by 73
Knaze, V., Rothwell, J. A., Zamora‐Ros, R., Moskal, A., Kyrø, C., Jakszyn, P. G., Skeie, G., Weiderpass, E., de Magistris, M. S., Agnoli, C., et al. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy098 · Cited by 69
Fretts, A. M., Imamura, F., Marklund, M., Micha, R., Wu, J. H. Y., Murphy, R. A., Chien, K., McKnight, B., Tintle, N., Forouhi, N. G., et al. (2019) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz005 · Cited by 70
on behalf of the EPIC-CVD Consortium, Staley, J. R., Jones, E., Kaptoge, S., Butterworth, A. S., Sweeting, M. J., Wood, A. M., & Howson, J. M. M. (2017) · European Journal of Human Genetics · doi:10.1038/ejhg.2017.78 · Cited by 58
Dalton, A. M., & Jones, A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0226524 · Cited by 70
Imamura, F., Sharp, S. J., Koulman, A., Schulze, M. B., Kröger, J., Griffin, J. L., Huerta, J. M., Guevara, M., Sluijs, I., Agudo, A., et al. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002409 · Cited by 66
Dicken, S. J., Dahm, C. C., Ibsen, D. B., Olsen, A., Tjønneland, A. M., Hajji-Louati, M., Cadeau, C., Marques, C., Schulze, M. B., Jannasch, F., et al. (2024) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2024.101043 · Cited by 66
Kuhn, T. E., Kaaks, R., Teucher, B., Hirche, F., Dierkes, J., Weikert, C., Katzke, V. A., Boeing, H., Stangl, G. I., & Buijsse, B. (2013) · European Journal of Nutrition · doi:10.1007/s00394-013-0577-8 · Cited by 59
Ibsen, D. B., Steur, M., Imamura, F., Overvad, K., Schulze, M. B., Bendinelli, B., Guevara, M., Agudo, A., Amiano, P., Aune, D., et al. (2020) · Diabetes Care · doi:10.2337/dc20-1038 · Cited by 61
Li, S. X., Imamura, F., Ye, Z., Schulze, M. B., Zheng, J., Ardanáz, E., Arriola, L., Boeing, H., Dow, C., Fagherazzi, G., et al. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.150094 · Cited by 61
Steur, M., Johnson, L., Sharp, S. J., Imamura, F., Sluijs, I., Key, T. J., Wood, A., Chowdhury, R., Guevara, M., Jakobsen, M. U., et al. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.120.019814 · Cited by 58
Proteomic signatures for identification of impaired glucose tolerance
Carrasco-Zanini, J., Pietzner, M., Lindbohm, J. V., Wheeler, E., Oerton, E., Kerrison, N. D., Simpson, M., Westacott, M. J., Drolet, D., Mika Kivimaki, B., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-02055-z · Cited by 54
Kuhn, T. E., Kaaks, R., Teucher, B., Hirche, F., Dierkes, J., Weikert, C., Katzke, V. A., Boeing, H., Stangl, G. I., & Buijsse, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069080 · Cited by 52
Gender difference in type 2 diabetes and the role of body iron stores
Aregbesola, A., Voutilainen, S., Virtanen, J. K., Mursu, J., & Tuomainen, T. (2016) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/0004563216646397 · Cited by 50
Fontvieille, E., Viallon, V., Recalde, M., Córdova, R., Jansana, A., Peruchet‐Noray, L., Lennon, H., Heath, A. K., Aune, D., Christakoudi, S., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-03114-z · Cited by 55
Wang, L. Y., Summerhill, K., Rodriguez-Canas, C., Mather, I., Patel, P. S., Eiden, M. J., Young, S., Forouhi, N. G., & Koulman, A. (2013) · Genome Medicine · doi:10.1186/gm443 · Cited by 47
Huerta, J. M., Tormo, M.-J., Chirlaque, M., Gavrila, D., Amiano, P., Arriola, L., Ardanáz, E., Rodríguez, L., Sánchez, M., Méndez, M. A., et al. (2013) · BMC Endocrine Disorders · doi:10.1186/1472-6823-13-7 · Cited by 52
Samaan, Z., Garasia, S., Gerstein, H. C., Engert, J. C., Mohan, V., Díaz, R., Anand, S. S., & Meyre, D. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.113 · Cited by 46
di Giuseppe, R., Kühn, T., Hirche, F., Buijsse, B., Dierkes, J., Fritsche, A., Kaaks, R., Boeing, H., Stangl, G. I., & Weikert, C. (2014) · European Journal of Epidemiology · doi:10.1007/s10654-014-9982-4 · Cited by 45
Olamoyegun, M. A., Alare, K., Afolabi, S. A., Aderinto, N., & Adeyemi, T. M. (2024) · Clinical Diabetes and Endocrinology · doi:10.1186/s40842-024-00209-1 · Cited by 63
di Giuseppe, R., Kuhn, T. E., Hirche, F., Buijsse, B., Dierkes, J., Fritsche, A., Kaaks, R., Boeing, H., Stangl, G. I., & Weikert, C. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133580 · Cited by 45
Zwakenberg, S. R., Remmelzwaal, S., Beulens, J. W. J., Booth, S. L., Burgess, S., Dashti, H. S., Imamura, F., Feskens, E. J. M., van der Schouw, Y. T., & Sluijs, I. (2018) · Diabetes · doi:10.2337/db18-0543 · Cited by 44
Metadata
- Authors
- The InterAct Consortium
- Venue
- Diabetologia
- Published
- 2011-06-30
- Volume
- 54
- Issue
- 9
- Pages
- 2272-2282
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- PMC
- PMC4222062
- OpenAlex
- W1522058342
- Cited by
- 208
- References
- 33
- Citations by year
- 2026: 11 · 2025: 7 · 2024: 8 · 2023: 9 · 2022: 13 · 2021: 11 · 2020: 15 · 2019: 14 · 2018: 15 · 2017: 15 · 2016: 17 · 2015: 18 · 2014: 20 · 2013: 19 · 2012: 13
- FWCI
- 10.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
- Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Wellcome Trust (083270/Z/07/Z, 090532, 083270/083270/z)
- Cancer Research UK
- European Commission (LSHM_CT_2006_037197)
- Bundesministerium für Bildung und Forschung (KFO218/1)
- Universitair Medisch Centrum Utrecht
- Canadian Institutes of Health Research (G0601261)
- Medical Research Council (MC_EX_G0800783)
- World Cancer Research Fund
- Agentschap NL (grant IGE05012, IGE05012)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- gene-lifestyle interaction, genetic susceptibility, diet, physical activity, EPIC cohort, INTERACT project, case-cohort design, diabetes incidence, sex differences in diabetes risk, behavioral risk factors, genetic loci, subgroup effects, waist circumference, body mass index, random-effects meta-analysis, Cox proportional hazards model
- MeSH terms
- Diabetes Mellitus, Type 2, Diet, Europe, Female, Follow-Up Studies, Humans, International Cooperation, Life Style, Male, Middle Aged, Motor Activity, Prospective Studies, Retrospective Studies, Risk Factors, Cohort Studies, Incidence, Genetic Predisposition to Disease
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