@article{ZhengLuanSofianopoulouetal.2020, author = {Zheng, Ju-Sheng and Luan, Jian'an and Sofianopoulou, Eleni and Imamura, Fumiaki and Stewart, Isobel D. and Day, Felix R. and Pietzner, Maik and Wheeler, Eleanor and Lotta, Luca A. and Gundersen, Thomas E. and Amiano, Pilar and Ardanaz, Eva and Chirlaque, Maria-Dolores and Fagherazzi, Guy and Franks, Paul W. and Kaaks, Rudolf and Laouali, Nasser and Mancini, Francesca Romana and Nilsson, Peter M. and Onland-Moret, N. Charlotte and Olsen, Anja and Overvad, Kim and Panico, Salvatore and Palli, Domenico and Ricceri, Fulvio and Rolandsson, Olov and Spijkerman, Annemieke M. W. and Sanchez, Maria-Jose and Schulze, Matthias B. and Sala, Nuria and Sieri, Sabina and Tjonneland, Anne and Tumino, Rosario and van der Schouw, Yvonne T. and Weiderpass, Elisabete and Riboli, Elio and Danesh, John and Butterworth, Adam S. and Sharp, Stephen J. and Langenberg, Claudia and Forouhi, Nita G. and Wareham, Nicholas J.}, title = {Plasma vitamin C and type 2 diabetes}, series = {Diabetes care}, volume = {44}, journal = {Diabetes care}, number = {1}, publisher = {American Diabetes Association}, address = {Alexandria}, issn = {0149-5992}, doi = {10.2337/dc20-1328}, pages = {98 -- 106}, year = {2020}, abstract = {OBJECTIVE: Higher plasma vitamin C levels are associated with lower type 2 diabetes risk, but whether this association is causal is uncertain. To investigate this, we studied the association of genetically predicted plasma vitamin C with type 2 diabetes. RESEARCH DESIGN AND METHODS: We conducted genome-wide association studies of plasma vitamin C among 52,018 individuals of European ancestry to discover novel genetic variants. We performed Mendelian randomization analyses to estimate the association of genetically predicted differences in plasma vitamin C with type 2 diabetes in up to 80,983 case participants and 842,909 noncase participants. We compared this estimate with the observational association between plasma vitamin C and incident type 2 diabetes, including 8,133 case participants and 11,073 noncase participants. RESULTS: We identified 11 genomic regions associated with plasma vitamin C (P < 5 x 10(-8)), with the strongest signal at SLC23A1, and 10 novel genetic loci including SLC23A3, CHPT1, BCAS3, SNRPF, RER1, MAF, GSTA5, RGS14, AKT1, and FADS1. Plasma vitamin C was inversely associated with type 2 diabetes (hazard ratio per SD 0.88; 95\% CI 0.82, 0.94), but there was no association between genetically predicted plasma vitamin C (excluding FADS1 variant due to its apparent pleiotropic effect) and type 2 diabetes (1.03; 95\% CI 0.96, 1.10). CONCLUSIONS: These findings indicate discordance between biochemically measured and genetically predicted plasma vitamin C levels in the association with type 2 diabetes among European populations. The null Mendelian randomization findings provide no strong evidence to suggest the use of vitamin C supplementation for type 2 diabetes prevention.}, language = {en} } @article{KroegerMeidtnerStefanetal.2018, author = {Kroeger, Janine and Meidtner, Karina and Stefan, Norbert and Guevara, Marcela and Kerrison, Nicola D. and Ardanaz, Eva and Aune, Dagfinn and Boeing, Heiner and Dorronsoro, Miren and Dow, Courtney and Fagherazzi, Guy and Franks, Paul W. and Freisling, Heinz and Gunter, Marc J. and Maria Huerta, Jose and Kaaks, Rudolf and Key, Timothy J. and Khaw, Kay Tee and Krogh, Vittorio and Kuehn, Tilman and Mancini, Francesca Romana and Mattiello, Amalia and Nilsson, Peter M. and Olsen, Anja and Overvad, Kim and Palli, Domenico and Ramon Quiros, J. and Rolandsson, Olov and Sacerdote, Carlotta and Sala, Nuria and Salamanca-Fernandez, Elena and Sluijs, Ivonne and Spijkerman, Annemieke M. W. and Tjonneland, Anne and Tsilidis, Konstantinos K. and Tumino, Rosario and van der Schouw, Yvonne T. and Forouhi, Nita G. and Sharp, Stephen J. and Langenberg, Claudia and Riboli, Elio and Schulze, Matthias B. and Wareham, Nicholas J.}, title = {Circulating Fetuin-A and Risk of Type 2 Diabetes}, series = {Diabetes : a journal of the American Diabetes Association}, volume = {67}, journal = {Diabetes : a journal of the American Diabetes Association}, number = {6}, publisher = {American Diabetes Association}, address = {Alexandria}, issn = {0012-1797}, doi = {10.2337/db17-1268}, pages = {1200 -- 1205}, year = {2018}, abstract = {Fetuin-A, a hepatic-origin protein, is strongly positively associated with risk of type 2 diabetes in human observational studies, but it is unknown whether this association is causal. Weaimed to study the potential causal relation of circulating fetuin-A to risk of type 2 diabetes in a Mendelian randomization study with single nucleotide polymorphisms located in the fetuin-A-encoding AHSG gene. We used data from eight European countries of the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study including 10,020 incident cases. Plasma fetuin-A concentration was measured in a subset of 965 subcohort participants and 654 case subjects. A genetic score of the AHSG single nucleotide polymorphisms was strongly associated with fetuin-A (28\% explained variation). Using the genetic score as instrumental variable of fetuin-A, we observed no significant association of a 50 mu g/mL higher fetuin-A concentration with diabetes risk (hazard ratio 1.02 [95\% CI 0.97, 1.07]). Combining our results with those from the DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) consortium (12,171 case subjects) also did not suggest a clear significant relation of fetuin-A with diabetes risk. In conclusion, although there is mechanistic evidence for an effect of fetuin-A on insulin sensitivity and secretion, this study does not support a strong, relevant relationship between circulating fetuin-A and diabetes risk in the general population.}, language = {en} } @article{JannaschKroegerAgnolietal.2019, author = {Jannasch, Franziska and Kr{\"o}ger, Janine and Agnoli, Claudia and Barricarte, Aurelio and Boeing, Heiner and Cayssials, Val{\´e}rie and Colorado-Yohar, Sandra and Dahm, Christina C. and Dow, Courtney and Fagherazzi, Guy and Franks, Paul W. and Freisling, Heinz and Gunter, Marc J. and Kerrison, Nicola D. and Key, Timothy J. and Khaw, Kay-Tee and K{\"u}hn, Tilman and Kyro, Cecilie and Mancini, Francesca Romana and Mokoroa, Olatz and Nilsson, Peter and Overvad, Kim and Palli, Domenico and Panico, Salvatore and Quiros Garcia, Jose Ramon and Rolandsson, Olov and Sacerdote, Carlotta and Sanchez, Maria-Jose and Sahrai, Mohammad Sediq and Sch{\"u}bel, Ruth and Sluijs, Ivonne and Spijkerman, Annemieke M. W. and Tjonneland, Anne and Tong, Tammy Y. N. and Tumino, Rosario and Riboli, Elio and Langenberg, Claudia and Sharp, Stephen J. and Forouhi, Nita G. and Schulze, Matthias Bernd and Wareham, Nicholas J.}, title = {Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations}, series = {The Journal of Nutrition}, volume = {149}, journal = {The Journal of Nutrition}, number = {6}, publisher = {Oxford Univ. Press}, address = {Oxford}, issn = {0022-3166}, doi = {10.1093/jn/nxz031}, pages = {1047 -- 1055}, year = {2019}, abstract = {Background: Population-specificity of exploratory dietary patterns limits their generalizability in investigations with type 2 diabetes incidence. Objective: The aim of this study was to derive country-specific exploratory dietary patterns, investigate their association with type 2 diabetes incidence, and replicate diabetes-associated dietary patterns in other countries. Methods: Dietary intake data were used, assessed by country-specific questionnaires at baseline of 11,183 incident diabetes cases and 14,694 subcohort members (mean age 52.9 y) from 8 countries, nested within the European Prospective Investigation into Cancer and Nutrition study (mean follow-up time 6.9 y). Exploratory dietary patterns were derived by principal component analysis. HRs for incident type 2 diabetes were calculated by Prentice-weighted Cox proportional hazard regression models. Diabetes-associated dietary patterns were simplified or replicated to be applicable in other countries. A meta-analysis across all countries evaluated the generalizability of the diabetes-association. Results: Two dietary patterns per country/UK-center, of which overall 3 dietary patterns were diabetes-associated, were identified. A risk-lowering French dietary pattern was not confirmed across other countries: pooled HRFrance per 1 SD: 1.00; 95\% CI: 0.90, 1.10. Risk-increasing dietary patterns, derived in Spain and UK-Norfolk, were confirmed, but only the latter statistically significantly: HRSpain: 1.09; 95\% CI: 0.97, 1.22 and HRUK-Norfolk: 1.12; 95\% CI: 1.04, 1.20. Respectively, this dietary pattern was characterized by relatively high intakes of potatoes, processed meat, vegetable oils, sugar, cake and cookies, and tea. Conclusions: Only few country/center-specific dietary patterns (3 of 18) were statistically significantly associated with diabetes incidence in this multicountry European study population. One pattern, whose association with diabetes was confirmed across other countries, showed overlaps in the food groups potatoes and processed meat with identified diabetes-associated dietary patterns from other studies. The study demonstrates that replication of associations of exploratory patterns with health outcomes is feasible and a necessary step to overcome population-specificity in associations from such analyses.}, language = {en} }