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 - Warrington, Nicole A1 - Beaumont, Robin A1 - Horikoshi, Momoko A1 - Day, Felix R. A1 - Helgeland, Øyvind A1 - Laurin, Charles A1 - Bacelis, Jonas A1 - Peng, Shouneng A1 - Hao, Ke A1 - Feenstra, Bjarke A1 - Wood, Andrew R. A1 - Mahajan, Anubha A1 - Tyrrell, Jessica A1 - Robertson, Neil R. A1 - Rayner, N. William A1 - Qiao, Zhen A1 - Moen, Gunn-Helen A1 - Vaudel, Marc A1 - Marsit, Carmen A1 - Chen, Jia A1 - Nodzenski, Michael A1 - Schnurr, Theresia M. A1 - Zafarmand, Mohammad Hadi A1 - Bradfield, Jonathan P. A1 - Grarup, Niels A1 - Kooijman, Marjolein N. A1 - Li-Gao, Ruifang A1 - Geller, Frank A1 - Ahluwalia, Tarunveer Singh A1 - Paternoster, Lavinia A1 - Rueedi, Rico A1 - Huikari, Ville A1 - Hottenga, Jouke-Jan A1 - Lyytikäinen, Leo-Pekka A1 - Cavadino, Alana A1 - Metrustry, Sarah A1 - Cousminer, Diana L. A1 - Wu, Ying A1 - Thiering, Elisabeth Paula A1 - Wang, Carol A. A1 - Have, Christian Theil A1 - Vilor-Tejedor, Natalia A1 - Joshi, Peter K. A1 - Painter, Jodie N. A1 - Ntalla, Ioanna A1 - Myhre, Ronny A1 - Pitkänen, Niina A1 - van Leeuwen, Elisabeth M. A1 - Joro, Raimo A1 - Lagou, Vasiliki A1 - Richmond, Rebecca C. A1 - Espinosa, Ana A1 - Barton, Sheila J. A1 - Inskip, Hazel M. A1 - Holloway, John W. A1 - Santa-Marina, Loreto A1 - Estivill, Xavier A1 - Ang, Wei A1 - Marsh, Julie A. A1 - Reichetzeder, Christoph A1 - Marullo, Letizia A1 - Hocher, Berthold A1 - Lunetta, Kathryn L. A1 - Murabito, Joanne M. A1 - Relton, Caroline L. A1 - Kogevinas, Manolis A1 - Chatzi, Leda A1 - Allard, Catherine A1 - Bouchard, Luigi A1 - Hivert, Marie-France A1 - Zhang, Ge A1 - Muglia, Louis J. A1 - Heikkinen, Jani A1 - Morgen, Camilla S. A1 - van Kampen, Antoine H. C. A1 - van Schaik, Barbera D. C. A1 - Mentch, Frank D. A1 - Langenberg, Claudia A1 - Scott, Robert A. A1 - Zhao, Jing Hua A1 - Hemani, Gibran A1 - Ring, Susan M. A1 - Bennett, Amanda J. A1 - Gaulton, Kyle J. A1 - Fernandez-Tajes, Juan A1 - van Zuydam, Natalie R. A1 - Medina-Gomez, Carolina A1 - de Haan, Hugoline G. A1 - Rosendaal, Frits R. A1 - Kutalik, Zoltán A1 - Marques-Vidal, Pedro A1 - Das, Shikta A1 - Willemsen, Gonneke A1 - Mbarek, Hamdi A1 - Müller-Nurasyid, Martina A1 - Standl, Marie A1 - Appel, Emil V. R. A1 - Fonvig, Cilius Esmann A1 - Trier, Caecilie A1 - van Beijsterveldt, Catharina E. M. A1 - Murcia, Mario A1 - Bustamante, Mariona A1 - Bonàs-Guarch, Sílvia A1 - Hougaard, David M. A1 - Mercader, Josep M. A1 - Linneberg, Allan A1 - Schraut, Katharina E. A1 - Lind, Penelope A. A1 - Medland, Sarah Elizabeth A1 - Shields, Beverley M. A1 - Knight, Bridget A. A1 - Chai, Jin-Fang A1 - Panoutsopoulou, Kalliope A1 - Bartels, Meike A1 - Sánchez, Friman A1 - Stokholm, Jakob A1 - Torrents, David A1 - Vinding, Rebecca K. A1 - Willems, Sara M. A1 - Atalay, Mustafa A1 - Chawes, Bo L. A1 - Kovacs, Peter A1 - Prokopenko, Inga A1 - Tuke, Marcus A. A1 - Yaghootkar, Hanieh A1 - Ruth, Katherine S. A1 - Jones, Samuel E. A1 - Loh, Po-Ru A1 - Murray, Anna A1 - Weedon, Michael N. A1 - Tönjes, Anke A1 - Stumvoll, Michael A1 - Michaelsen, Kim Fleischer A1 - Eloranta, Aino-Maija A1 - Lakka, Timo A. A1 - van Duijn, Cornelia M. A1 - Kiess, Wieland A1 - Koerner, Antje A1 - Niinikoski, Harri A1 - Pahkala, Katja A1 - Raitakari, Olli T. A1 - Jacobsson, Bo A1 - Zeggini, Eleftheria A1 - Dedoussis, George V. A1 - Teo, Yik-Ying A1 - Saw, Seang-Mei A1 - Montgomery, Grant W. A1 - Campbell, Harry A1 - Wilson, James F. A1 - Vrijkotte, Tanja G. M. A1 - Vrijheid, Martine A1 - de Geus, Eco J. C. N. A1 - Hayes, M. Geoffrey A1 - Kadarmideen, Haja N. A1 - Holm, Jens-Christian A1 - Beilin, Lawrence J. A1 - Pennell, Craig E. A1 - Heinrich, Joachim A1 - Adair, Linda S. A1 - Borja, Judith B. A1 - Mohlke, Karen L. A1 - Eriksson, Johan G. A1 - Widen, Elisabeth E. A1 - Hattersley, Andrew T. A1 - Spector, Tim D. A1 - Kaehoenen, Mika A1 - Viikari, Jorma S. A1 - Lehtimaeki, Terho A1 - Boomsma, Dorret I. A1 - Sebert, Sylvain A1 - Vollenweider, Peter A1 - Sorensen, Thorkild I. A. A1 - Bisgaard, Hans A1 - Bonnelykke, Klaus A1 - Murray, Jeffrey C. A1 - Melbye, Mads A1 - Nohr, Ellen A. A1 - Mook-Kanamori, Dennis O. A1 - Rivadeneira, Fernando A1 - Hofman, Albert A1 - Felix, Janine F. A1 - Jaddoe, Vincent W. V. A1 - Hansen, Torben A1 - Pisinger, Charlotta A1 - Vaag, Allan A. A1 - Pedersen, Oluf A1 - Uitterlinden, Andre G. A1 - Jarvelin, Marjo-Riitta A1 - Power, Christine A1 - Hypponen, Elina A1 - Scholtens, Denise M. A1 - Lowe, William L. A1 - Smith, George Davey A1 - Timpson, Nicholas J. A1 - Morris, Andrew P. A1 - Wareham, Nicholas J. A1 - Hakonarson, Hakon A1 - Grant, Struan F. A. A1 - Frayling, Timothy M. A1 - Lawlor, Debbie A. A1 - Njolstad, Pal R. A1 - Johansson, Stefan A1 - Ong, Ken K. A1 - McCarthy, Mark I. A1 - Perry, John R. B. A1 - Evans, David M. A1 - Freathy, Rachel M. T1 - Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors JF - Nature genetics N2 - Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming. Y1 - 2019 SN - 1061-4036 SN - 1546-1718 VL - 51 IS - 5 SP - 804 EP - + PB - Nature Publ. Group CY - New York ER - TY - JOUR A1 - Li, Chen A1 - Stoma, Svetlana A1 - Lotta, Luca A. A1 - Warner, Sophie A1 - Albrecht, Eva A1 - Allione, Alessandra A1 - Arp, Pascal P. A1 - Broer, Linda A1 - Buxton, Jessica L. A1 - Boeing, Heiner A1 - Langenberg, Claudia A1 - Codd, Veryan T1 - Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length JF - American Journal of Human Genetics N2 - Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease. KW - Mendelian randomization KW - risk KW - variants KW - disease KW - cancer KW - loci KW - database KW - genes KW - heart KW - gwas Y1 - 2019 VL - 106 IS - 3 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Li, Chen A1 - Stoma, Svetlana A1 - Lotta, Luca A. A1 - Warner, Sophie A1 - Albrecht, Eva A1 - Allione, Alessandra A1 - Arp, Pascal P. A1 - Broer, Linda A1 - Buxton, Jessica L. A1 - Boeing, Heiner A1 - Langenberg, Claudia A1 - Codd, Veryan T1 - Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1205 KW - Mendelian randomization KW - risk KW - variants KW - disease KW - cancer KW - loci KW - database KW - genes KW - heart KW - gwas Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-526843 SN - 1866-8372 IS - 3 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 -