Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kurbasic, Azra"'
Autor:
Atabaki-Pasdar N; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden., Ohlsson M; Computational Biology and Biological Physics Unit, Department of Astronomy and Theoretical Physics, Lund University, Lund, Sweden.; Center for Applied Intelligent Systems Research, Halmstad University, Halmstad, Sweden., Viñuela A; Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.; Institute for Genetics and Genomics in Geneva, University of Geneva Medical School, Geneva, Switzerland.; Swiss Institute of Bioinformatics, Geneva, Switzerland., Frau F; Sanofi-Aventis Deutschland, Frankfurt am Main, Germany., Pomares-Millan H; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden., Haid M; Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, Neuherberg, Germany., Jones AG; Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom., Thomas EL; Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom., Koivula RW; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom., Kurbasic A; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden., Mutie PM; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden., Fitipaldi H; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden., Fernandez J; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden., Dawed AY; Division of Population Health and Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, United Kingdom., Giordano GN; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden., Forgie IM; Division of Population Health and Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, United Kingdom., McDonald TJ; Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom.; Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom., Rutters F; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands., Cederberg H; Department of Endocrinology, Abdominal Centre, Helsinki University Hospital, Helsinki, Finland., Chabanova E; Department of Diagnostic Radiology, Copenhagen University Hospital Herlev Gentofte, Herlev, Denmark., Dale M; Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden., Masi F; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., Thomas CE; Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden., Allin KH; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.; Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark., Hansen TH; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.; Department of Cardiology and Endocrinology, Slagelse Hospital, Slagelse, Denmark., Heggie A; Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom., Hong MG; Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden., Elders PJM; Department of General Practice, Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands., Kennedy G; Immunoassay Biomarker Core Laboratory, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, United Kingdom., Kokkola T; Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland., Pedersen HK; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Mahajan A; Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom., McEvoy D; Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom., Pattou F; University of Lille, Inserm, UMR 1190, Translational Research in Diabetes, Department of Endocrine Surgery, CHU Lille, Lille, France., Raverdy V; University of Lille, Inserm, UMR 1190, Translational Research in Diabetes, Department of Endocrine Surgery, CHU Lille, Lille, France., Häussler RS; Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden., Sharma S; German Center for Diabetes Research, Neuherberg, Germany.; Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany., Thomsen HS; Department of Diagnostic Radiology, Copenhagen University Hospital Herlev Gentofte, Herlev, Denmark., Vangipurapu J; Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland., Vestergaard H; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.; Steno Diabetes Center Copenhagen, Gentofte, Denmark., 't Hart LM; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands.; Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands., Adamski J; Research Unit Molecular Endocrinology and Metabolism, Helmholtz Zentrum München, Neuherberg, Germany.; Lehrstuhl für Experimentelle Genetik, Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt, Technische Universität München, Freising, Germany.; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Musholt PB; Diabetes Division, Research and Development, Sanofi, Frankfurt, Germany., Brage S; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom., Brunak S; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Dermitzakis E; Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.; Institute for Genetics and Genomics in Geneva, University of Geneva Medical School, Geneva, Switzerland.; Swiss Institute of Bioinformatics, Geneva, Switzerland., Frost G; Section for Nutrition Research, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom., Hansen T; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark., Laakso M; Internal Medicine, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.; Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland., Pedersen O; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Ridderstråle M; Clinical Pharmacology and Translational Medicine, Novo Nordisk, Søborg, Denmark., Ruetten H; Sanofi-Aventis Deutschland, Frankfurt am Main, Germany., Hattersley AT; Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Exeter, United Kingdom., Walker M; Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom., Beulens JWJ; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands.; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands., Mari A; Institute of Neuroscience, National Research Council, Padua, Italy., Schwenk JM; Affinity Proteomics, Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Solna, Sweden., Gupta R; Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., McCarthy MI; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.; Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom.; OMNI Human Genetics, Genentech, South San Francisco, California, United States of America., Pearson ER; Division of Population Health and Genomics, School of Medicine, University of Dundee, Ninewells Hospital, Dundee, United Kingdom., Bell JD; Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, United Kingdom., Pavo I; Eli Lilly Regional Operations, Vienna, Austria., Franks PW; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.; Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Publikováno v:
PLoS medicine [PLoS Med] 2020 Jun 19; Vol. 17 (6), pp. e1003149. Date of Electronic Publication: 2020 Jun 19 (Print Publication: 2020).
Autor:
Atabaki-Pasdar, Naeimeh, Ohlsson, Mattias, Viñuela, Ana, Frau, Francesca, Pomares-Millan, Hugo, Haid, Mark, Jones, Angus G, Thomas, E Louise, Koivula, Robert W, Kurbasic, Azra, Mutie, Pascal M, Fitipaldi, Hugo, Fernandez, Juan, Dawed, Adem Y, Giordano, Giuseppe N, Forgie, Ian M, McDonald, Timothy J, Rutters, Femke, Cederberg, Henna, Chabanova, Elizaveta, Dale, Matilda, Masi, Federico De, Thomas, Cecilia Engel, Allin, Kristine H, Hansen, Tue H, Heggie, Alison, Hong, Mun-Gwan, Elders, Petra JM, Kennedy, Gwen, Kokkola, Tarja, Pedersen, Helle Krogh, Mahajan, Anubha, McEvoy, Donna, Pattou, Francois, Raverdy, Violeta, Häussler, Ragna S, Sharma, Sapna, Thomsen, Henrik S, Vangipurapu, Jagadish, Vestergaard, Henrik, 'T Hart, Leen M, Adamski, Jerzy, Musholt, Petra B, Brage, Soren, Brunak, Søren, Dermitzakis, Emmanouil, Frost, Gary, Hansen, Torben, Laakso, Markku, Pedersen, Oluf, Ridderstråle, Martin, Ruetten, Hartmut, Hattersley, Andrew T, Walker, Mark, Beulens, Joline WJ, Mari, Andrea, Schwenk, Jochen M, Gupta, Ramneek, McCarthy, Mark I, Pearson, Ewan R, Bell, Jimmy D, Pavo, Imre, Franks, Paul W
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible dama
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53521bf4314f9a742bf1e09b9f83f8bd
Autor:
Atabaki-Pasdar, N, Ohlsson, M, Vinuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, AG, Thomas, EL, Koivula, RW, Kurbasic, A, Mutie, PM, Fitipaldi, H, Fernandez, J, Dawed, AY, Giordano, GN, Forgie, IM, McDonald, TJ, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, Masi, FD, Thomas, CE, Allin, KH, Hansen, TH, Heggie, A, Hong, M-G, Elders, PJM, Kennedy, G, Kokkola, T, Pedersen, HK, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Haussler, RS, Sharma, S, Thomsen, HS, Vangipurapu, J, Vestergaard, H, 't Hart, LM, Adamski, J, Musholt, PB, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstrale, M, Ruetten, H, Hattersley, AT, Walker, M, Beulens, JWJ, Mari, A, Schwenk, JM, Gupta, R, McCarthy, MI, Pearson, ER, Bell, JD, Pavo, I, Franks, PW
Publikováno v:
PLoS Medicine, 17(6):e1003149. Public Library of Science
PLoS Medicine
Atabaki-Pasdar, N, Ohlsson, M, Viñuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, A G, Louise Thomas, E, Koivula, R W, Kurbasic, A, Mutie, P M, Fitipaldi, H, Fernandez, J, Dawed, A Y, Giordano, G N, Forgie, I M, McDonald, T J, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, de Masi, F, Thomas, C E, Allin, K H, Hansen, T H, Heggie, A, Hong, M G, Elders, P J M, Kennedy, G, Kokkola, T, Pedersen, H K, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Häussler, R S, Sharma, S, Thomsen, H S, Vangipurapu, J, Vestergaard, H, T Hart, L M, Adamski, J, Musholt, P B, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstråle, M, Ruetten, H, Hattersley, A T, Walker, M, Beulens, J W J, Mari, A, Schwenk, J M, Gupta, R, McCarthy, M I, Pearson, E R, Bell, J D, Pavo, I & Franks, P W 2020, ' Predicting and elucidating the etiology of fatty liver disease : A machine learning modeling and validation study in the IMI DIRECT cohorts ', PLoS Medicine, vol. 17, no. 6, e1003149 . https://doi.org/10.1371/journal.pmed.1003149
Atabaki-Pasdar, N, Ohlsson, M, Viñuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, A G, Thomas, E L, Koivula, R W, Kurbasic, A, Mutie, P M, Fitipaldi, H, Fernandez, J, Dawed, A Y, Giordano, G N, Forgie, I M, McDonald, T J, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, Masi, F D, Thomas, C E, Allin, K H, Hansen, T H, Heggie, A, Hong, M G, Elders, P J M, Kennedy, G, Kokkola, T, Pedersen, H K, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Häussler, R S, Sharma, S, Thomsen, H S, Vangipurapu, J, Vestergaard, H, 't Hart, L M, Adamski, J, Musholt, P B, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstråle, M, Ruetten, H, Hattersley, A T, Walker, M, Beulens, J W J, Mari, A, Schwenk, J M, Gupta, R, McCarthy, M I, Pearson, E R, Bell, J D, Pavo, I & Franks, P W 2020, ' Predicting and elucidating the etiology of fatty liver disease : A machine learning modeling and validation study in the IMI DIRECT cohorts ', PLoS Medicine, vol. 17, no. 6, pp. e1003149 . https://doi.org/10.1371/journal.pmed.1003149
PLoS Medicine, Vol 17, Iss 6, p e1003149 (2020)
PLoS Medicine, 17(6). PUBLIC LIBRARY SCIENCE
PLoS Medicine
Atabaki-Pasdar, N, Ohlsson, M, Viñuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, A G, Louise Thomas, E, Koivula, R W, Kurbasic, A, Mutie, P M, Fitipaldi, H, Fernandez, J, Dawed, A Y, Giordano, G N, Forgie, I M, McDonald, T J, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, de Masi, F, Thomas, C E, Allin, K H, Hansen, T H, Heggie, A, Hong, M G, Elders, P J M, Kennedy, G, Kokkola, T, Pedersen, H K, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Häussler, R S, Sharma, S, Thomsen, H S, Vangipurapu, J, Vestergaard, H, T Hart, L M, Adamski, J, Musholt, P B, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstråle, M, Ruetten, H, Hattersley, A T, Walker, M, Beulens, J W J, Mari, A, Schwenk, J M, Gupta, R, McCarthy, M I, Pearson, E R, Bell, J D, Pavo, I & Franks, P W 2020, ' Predicting and elucidating the etiology of fatty liver disease : A machine learning modeling and validation study in the IMI DIRECT cohorts ', PLoS Medicine, vol. 17, no. 6, e1003149 . https://doi.org/10.1371/journal.pmed.1003149
Atabaki-Pasdar, N, Ohlsson, M, Viñuela, A, Frau, F, Pomares-Millan, H, Haid, M, Jones, A G, Thomas, E L, Koivula, R W, Kurbasic, A, Mutie, P M, Fitipaldi, H, Fernandez, J, Dawed, A Y, Giordano, G N, Forgie, I M, McDonald, T J, Rutters, F, Cederberg, H, Chabanova, E, Dale, M, Masi, F D, Thomas, C E, Allin, K H, Hansen, T H, Heggie, A, Hong, M G, Elders, P J M, Kennedy, G, Kokkola, T, Pedersen, H K, Mahajan, A, McEvoy, D, Pattou, F, Raverdy, V, Häussler, R S, Sharma, S, Thomsen, H S, Vangipurapu, J, Vestergaard, H, 't Hart, L M, Adamski, J, Musholt, P B, Brage, S, Brunak, S, Dermitzakis, E, Frost, G, Hansen, T, Laakso, M, Pedersen, O, Ridderstråle, M, Ruetten, H, Hattersley, A T, Walker, M, Beulens, J W J, Mari, A, Schwenk, J M, Gupta, R, McCarthy, M I, Pearson, E R, Bell, J D, Pavo, I & Franks, P W 2020, ' Predicting and elucidating the etiology of fatty liver disease : A machine learning modeling and validation study in the IMI DIRECT cohorts ', PLoS Medicine, vol. 17, no. 6, pp. e1003149 . https://doi.org/10.1371/journal.pmed.1003149
PLoS Medicine, Vol 17, Iss 6, p e1003149 (2020)
PLoS Medicine, 17(6). PUBLIC LIBRARY SCIENCE
Background Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible damag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::c1bc926a99b5302cc30d7245d0440117
https://research.vumc.nl/en/publications/f7988584-4096-47b4-b939-809f82641881
https://research.vumc.nl/en/publications/f7988584-4096-47b4-b939-809f82641881