TY - JOUR A1 - Zheng, Ju-Sheng A1 - Luan, Jian'an A1 - Sofianopoulou, Eleni A1 - Imamura, Fumiaki A1 - Stewart, Isobel D. A1 - Day, Felix R. A1 - Pietzner, Maik A1 - Wheeler, Eleanor A1 - Lotta, Luca A. A1 - Gundersen, Thomas E. A1 - Amiano, Pilar A1 - Ardanaz, Eva A1 - Chirlaque, Maria-Dolores A1 - Fagherazzi, Guy A1 - Franks, Paul W. A1 - Kaaks, Rudolf A1 - Laouali, Nasser A1 - Mancini, Francesca Romana A1 - Nilsson, Peter M. A1 - Onland-Moret, N. Charlotte A1 - Olsen, Anja A1 - Overvad, Kim A1 - Panico, Salvatore A1 - Palli, Domenico A1 - Ricceri, Fulvio A1 - Rolandsson, Olov A1 - Spijkerman, Annemieke M. W. A1 - Sanchez, Maria-Jose A1 - Schulze, Matthias Bernd A1 - Sala, Nuria A1 - Sieri, Sabina A1 - Tjonneland, Anne A1 - Tumino, Rosario A1 - van der Schouw, Yvonne T. A1 - Weiderpass, Elisabete A1 - Riboli, Elio A1 - Danesh, John A1 - Butterworth, Adam S. A1 - Sharp, Stephen J. A1 - Langenberg, Claudia A1 - Forouhi, Nita G. A1 - Wareham, Nicholas J. T1 - Plasma vitamin C and type 2 diabetes BT - genome-wide association study and Mendelian randomization analysis in European populations JF - Diabetes care N2 - 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. Y1 - 2020 U6 - https://doi.org/10.2337/dc20-1328 SN - 0149-5992 SN - 1935-5548 VL - 44 IS - 1 SP - 98 EP - 106 PB - American Diabetes Association CY - Alexandria ER - TY - JOUR A1 - Krupnik, Seweryn A1 - Wagner, Aleksandra A1 - Vincent, Olga A1 - Rudek, Tadeusz J. A1 - Wade, Robert A1 - Misik, Matúš A1 - Akerboom, Sanne A1 - Foulds, Chris A1 - Smith Stegen, Karen A1 - Adem, Çiğdem A1 - Batel, Susana A1 - Rabitz, Florian A1 - Certomà, Chiara A1 - Chodkowska-Miszczuk, Justyna A1 - Dokupilová, Dušana A1 - Leiren, Merethe D. A1 - Ignatieva, Frolova M. A1 - Gabaldón-Estevan, Daniel. A1 - Horta, Ana A1 - Karnøe, Peter A1 - Lilliestam, Johan A1 - Loorbach, Derk A. A1 - Mühlemeier, Susan A1 - Némoz, Sophie A1 - Nilsson, Måns A1 - Osička, Jan A1 - Papamikrouli, Louiza A1 - Pellizioni, Luigi A1 - Sareen, Siddharth A1 - Sarrica, Mauro A1 - Seyfang, Gill A1 - Sovacool, Benjamin K. A1 - Telesiene, Audrone A1 - Zapletalova, Veronika A1 - von Wirth, Timo T1 - Beyond technology BT - a research agenda for social sciences and humanities research on renewable energy in Europe JF - Energy research & social science N2 - This article enriches the existing literature on the importance and role of the social sciences and humanities (SSH) in renewable energy sources research by providing a novel approach to instigating the future research agenda in this field. Employing a series of in-depth interviews, deliberative focus group workshops and a systematic horizon scanning process, which utilised the expert knowledge of 85 researchers from the field with diverse disciplinary backgrounds and expertise, the paper develops a set of 100 priority questions for future research within SSH scholarship on renewable energy sources. These questions were aggregated into four main directions: (i) deep transformations and connections to the broader economic system (i.e. radical ways of (re)arranging socio-technical, political and economic relations), (ii) cultural and geographical diversity (i.e. contextual cultural, historical, political and socio-economic factors influencing citizen support for energy transitions), (iii) complexifying energy governance (i.e. understanding energy systems from a systems dynamics perspective) and (iv) shifting from instrumental acceptance to value-based objectives (i.e. public support for energy transitions as a normative notion linked to trust-building and citizen engagement). While this agenda is not intended to be—and cannot be—exhaustive or exclusive, we argue that it advances the understanding of SSH research on renewable energy sources and may have important value in the prioritisation of SSH themes needed to enrich dialogues between policymakers, funding institutions and researchers. SSH scholarship should not be treated as instrumental to other research on renewable energy but as intrinsic and of the same hierarchical importance. KW - horizon scanning KW - research priorities KW - funding directions KW - EU Horizon Europe KW - research-policy interface Y1 - 2022 U6 - https://doi.org/10.1016/j.erss.2022.102536 SN - 22146296 VL - 89 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Kroeger, Janine A1 - Meidtner, Karina A1 - Stefan, Norbert A1 - Guevara, Marcela A1 - Kerrison, Nicola D. A1 - Ardanaz, Eva A1 - Aune, Dagfinn A1 - Boeing, Heiner A1 - Dorronsoro, Miren A1 - Dow, Courtney A1 - Fagherazzi, Guy A1 - Franks, Paul W. A1 - Freisling, Heinz A1 - Gunter, Marc J. A1 - Maria Huerta, Jose A1 - Kaaks, Rudolf A1 - Key, Timothy J. A1 - Khaw, Kay Tee A1 - Krogh, Vittorio A1 - Kuehn, Tilman A1 - Mancini, Francesca Romana A1 - Mattiello, Amalia A1 - Nilsson, Peter M. A1 - Olsen, Anja A1 - Overvad, Kim A1 - Palli, Domenico A1 - Ramon Quiros, J. A1 - Rolandsson, Olov A1 - Sacerdote, Carlotta A1 - Sala, Nuria A1 - Salamanca-Fernandez, Elena A1 - Sluijs, Ivonne A1 - Spijkerman, Annemieke M. W. A1 - Tjonneland, Anne A1 - Tsilidis, Konstantinos K. A1 - Tumino, Rosario A1 - van der Schouw, Yvonne T. A1 - Forouhi, Nita G. A1 - Sharp, Stephen J. A1 - Langenberg, Claudia A1 - Riboli, Elio A1 - Schulze, Matthias Bernd A1 - Wareham, Nicholas J. T1 - Circulating Fetuin-A and Risk of Type 2 Diabetes BT - a mendelian randomization analysis JF - Diabetes : a journal of the American Diabetes Association N2 - 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. Y1 - 2018 U6 - https://doi.org/10.2337/db17-1268 SN - 0012-1797 SN - 1939-327X VL - 67 IS - 6 SP - 1200 EP - 1205 PB - American Diabetes Association CY - Alexandria ER - TY - JOUR A1 - Jannasch, Franziska A1 - Kröger, Janine A1 - Agnoli, Claudia A1 - Barricarte, Aurelio A1 - Boeing, Heiner A1 - Cayssials, Valérie A1 - Colorado-Yohar, Sandra A1 - Dahm, Christina C. A1 - Dow, Courtney A1 - Fagherazzi, Guy A1 - Franks, Paul W. A1 - Freisling, Heinz A1 - Gunter, Marc J. A1 - Kerrison, Nicola D. A1 - Key, Timothy J. A1 - Khaw, Kay-Tee A1 - Kühn, Tilman A1 - Kyro, Cecilie A1 - Mancini, Francesca Romana A1 - Mokoroa, Olatz A1 - Nilsson, Peter A1 - Overvad, Kim A1 - Palli, Domenico A1 - Panico, Salvatore A1 - Quiros Garcia, Jose Ramon A1 - Rolandsson, Olov A1 - Sacerdote, Carlotta A1 - Sanchez, Maria-Jose A1 - Sahrai, Mohammad Sediq A1 - Schübel, Ruth A1 - Sluijs, Ivonne A1 - Spijkerman, Annemieke M. W. A1 - Tjonneland, Anne A1 - Tong, Tammy Y. N. A1 - Tumino, Rosario A1 - Riboli, Elio A1 - Langenberg, Claudia A1 - Sharp, Stephen J. A1 - Forouhi, Nita G. A1 - Schulze, Matthias Bernd A1 - Wareham, Nicholas J. T1 - Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations JF - The Journal of Nutrition N2 - 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. KW - dietary patterns KW - principal component analysis KW - diet-disease association KW - type 2 diabetes mellitus KW - replication KW - meta-analysis Y1 - 2019 U6 - https://doi.org/10.1093/jn/nxz031 SN - 0022-3166 SN - 1541-6100 VL - 149 IS - 6 SP - 1047 EP - 1055 PB - Oxford Univ. Press CY - Oxford ER -