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L A Hughes West Midlands Regional Genetics Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK

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K McKay-Bounford West Midlands Regional Genetics Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK

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E A Webb Department of Endocrinology & Diabetes, Birmingham Women’s and Children’s Hospital, Birmingham, UK

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P Dasani West Midlands Regional Genetics Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK

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S Clokie West Midlands Regional Genetics Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK

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H Chandran Department of Endocrinology & Diabetes, Birmingham Women’s and Children’s Hospital, Birmingham, UK

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L McCarthy Department of Endocrinology & Diabetes, Birmingham Women’s and Children’s Hospital, Birmingham, UK

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Z Mohamed Department of Endocrinology & Diabetes, Birmingham Women’s and Children’s Hospital, Birmingham, UK

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J M W Kirk Department of Endocrinology & Diabetes, Birmingham Women’s and Children’s Hospital, Birmingham, UK

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N P Krone Department of Endocrinology & Diabetes, Birmingham Women’s and Children’s Hospital, Birmingham, UK

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S Allen West Midlands Regional Genetics Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK

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T R P Cole West Midlands Regional Genetics Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK

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subsequently retested using TSO. NGS was performed on probands only and analysis for copy number variation in these genes was not performed. Bioinformatic analysis Bioinformatic analysis was performed using an in-house pipeline where sequence reads were

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Robert I Menzies The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Xin Zhao The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Linda J Mullins The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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John J Mullins The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Carolynn Cairns The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Nicola Wrobel The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Donald R Dunbar The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Matthew A Bailey The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Christopher J Kenyon The University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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transcripts were analysed with DAVID Bioinformatic Resources ( 23 ). Cluster analysis of genes involved in signalling, sterol and lipid metabolism and cell turnover was carried out with Miru software ( 24 ). Genes of interest that are discussed are listed in

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A Daniel Bird Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, Australia

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Spencer Greatorex Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, Australia

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David Reser Department of Physiology, Monash University, Melbourne, Victoria, Australia

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Gareth G Lavery Institute of Metabolism and Systems Research, 2nd Floor IBR Tower, University of Birmingham, Birmingham, UK
Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK

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Timothy J Cole Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Victoria, Australia

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immunohistochemistry. Human HEK293 cells were maintained in culture in DMEM/high glucose medium with 2 mM glutamine, 10% FCS. Bioinformatics and protein structure modelling Sequence alignment of human HSD11B1L and 11βHSD1 were performed using the Clustral Omega

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Liselot Koelman Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
Institute of Nutritional Science, University of Potsdam, Potsdam, Germany

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Robin Reichmann Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

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Claudia Börnhorst Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

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Matthias B Schulze Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
German Center for Diabetes Research (DZD), Neuherberg, Germany

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Cornelia Weikert Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
Institute for Social Medicine, Epidemiology and Health Economics, Charité University Medical Center, Berlin, Germany

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Ronald Biemann Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany

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Berend Isermann Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany

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Andreas Fritsche Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, Department of Internal Medicine, University of Tübingen, Tübingen, Germany

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Krasimira Aleksandrova Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany

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://doi.org/10.1186/1471-230X-6-33 ) 26 Stekhoven DJ Bühlmann P . MissForest: non-parametric missing value imputation for mixed-type data . Bioinformatics 2012 28 112 – 118 . ( https://doi.org/10.1093/bioinformatics/btr597 ) 27 Cao Y Willett WC Rimm

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Marra Jai Aghajani Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia

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Tao Yang School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia
Saint Vincent’s Clinical School, UNSW Sydney, Sydney, Australia
SydPath, Saint Vincent’s Hospital, Sydney, Australia

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Ulf Schmitz Computational BioMedicine Laboratory Centenary Institute, The University of Sydney, Camperdown, New South Wales, Australia
Gene & Stem Cell Therapy Program Centenary Institute, The University of Sydney, Camperdown, New South Wales, Australia
Faculty of Medicine & Health, The University of Sydney, Camperdown, New South Wales, Australia

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Alexander James Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia

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Charles Eugenio McCafferty Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia

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Paul de Souza Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia
School of Medicine, University of Wollongong, New South Wales, Australia

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Navin Niles Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia
Department of Head & Neck Surgery, Liverpool Hospital, Liverpool, New South Wales, Australia
Department of Clinical Medicine, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia

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Tara L Roberts Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia
South West Sydney Clinical School, UNSW Sydney, Sydney, Australia

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. Bioinformatics 2016 32 2847 – 284 9 . ( https://doi.org/10.1093/bioinformatics/btw313 ) 32 Topalian SL Drake CG Pardoll DM Targeting the PD-1/B7-H1(PD-L1) pathway to activate anti-tumor immunity . Current Opinion in Immunology 2012 24 207 – 2

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Lianghui You Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
Institute of Pediatrics, Nanjing Medical University, Nanjing, China

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Yan Wang Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
Institute of Pediatrics, Nanjing Medical University, Nanjing, China

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Yao Gao Department of Endocrinology, Children’s Hospital of Nanjing Medical University, Nanjing, China

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Xingyun Wang Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China

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Xianwei Cui Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China

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Yanyan Zhang Beijing Chaoyang Distirct Maternal and Child Health Care Hospital, Beijing, China

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Lingxia Pang Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China

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Chenbo Ji Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
Institute of Pediatrics, Nanjing Medical University, Nanjing, China

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Xirong Guo Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xia Chi Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
Institute of Pediatrics, Nanjing Medical University, Nanjing, China

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) for 5 min, cells were mounted with microscope slides and visualized under the fluorescence microscope Imager A2 (Carl Zeiss). Bioinformatics predictions and assay of luciferase activity TargetScan ( http://www.targetscan.org ) was used to

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Kinnaree Sorapipatcharoen Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Thipwimol Tim-Aroon Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Pat Mahachoklertwattana Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Wasun Chantratita Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Nareenart Iemwimangsa Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Insee Sensorn Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Bhakbhoom Panthan Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Poramate Jiaranai Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Saisuda Noojarern Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Patcharin Khlairit Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Sarunyu Pongratanakul Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Chittiwat Suprasongsin Research Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Manassawee Korwutthikulrangsri Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Chutintorn Sriphrapradang Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Preamrudee Poomthavorn Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

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Kopanos C Tsiolkas V Kouris A Chapple CE Albarca Aguilera M Meyer R Massouras A VarSome: the human genomic variant search engine . Bioinformatics 2019 35 1978 – 1980 . ( https://doi.org/10.1093/bioinformatics/bty897 ) 30376034 22 Yu

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Anna-Pauliina Iivonen Institute of Biomedicine/Physiology, Biomedicum Helsinki, University of Helsinki, Helsinki, Finland

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Johanna Känsäkoski Institute of Biomedicine/Physiology, Biomedicum Helsinki, University of Helsinki, Helsinki, Finland

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Atte Karppinen Department of Neurosurgery, Helsinki University Hospital, Helsinki, Finland

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Leena Kivipelto Department of Neurosurgery, Helsinki University Hospital, Helsinki, Finland

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Camilla Schalin-Jäntti Department of Endocrinology, Abdominal Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

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Auli Karhu Department of Medical and Clinical Genetics, RPU, Biomedicum Helsinki, University of Helsinki, Helsinki, Finland

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Taneli Raivio Institute of Biomedicine/Physiology, Biomedicum Helsinki, University of Helsinki, Helsinki, Finland

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.1038/nature19057 ) 10.1038/nature19057 27535533 15 Desmet FO Hamroun D Lalande M Collod-Beroud G Beroud C . Human Splicing Finder: an online bioinformatics tool to predict splicing signals . Nucleic Acids Research 2009 37 e67 . ( https://doi.org/10

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Xiuhua Liao Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
Fujian Maternal-Fetal Clinical Medicine Research Center, Fuzhou, China
Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, China

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Suqin Zhu Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China

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Shumin Qiu Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China

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Hua Cao Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China

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Wenwen Jiang Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China

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Huiling Xu Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China

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Yan Sun Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China

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Beihong Zheng Center of Reproductive Medicine, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
Fujian Maternal-Fetal Clinical Medicine Research Center, Fuzhou, China
Fujian Key Laboratory of Prenatal Diagnosis and Birth Defect, Fuzhou, China

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. Future studies can use more advanced techniques in bioinformatics and molecular biology, such as RNA sequencing, proteomics, and metabolomics, to further investigate this question. In addition, while this study provides new insights into the treatment of

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Niels B Dalsgaard Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark

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Lærke S Gasbjerg Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

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Laura S Hansen Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark

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Dennis S Nielsen Department of Food Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark

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Torben S Rasmussen Department of Food Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark

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Filip K Knop Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Steno Diabetes Center Copenhagen, Gentofte, Denmark

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_assign_taxonomy_uclust.py (QIIME v1.9.1) ( 17 ). Calculations and bioinformatic analysis of bacterial sequences Power calculations for the primary endpoint have been provided in a previously published paper ( 7 ). Initially, the dataset was purged for 16S rRNA gene

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