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Xu-Ting Song Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, College of Animal Science and Technology

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Jia-Nan Zhang Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, College of Animal Science and Technology

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Duo-Wei Zhao Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, College of Animal Science and Technology

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Yu-Fei Zhai Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, College of Animal Science and Technology

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Qi Lu Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, College of Animal Science and Technology

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Mei-Yu Qi Institute of Animal Husbandry, Heilongjiang Academy of Agricultural Sciences, Harbin, China

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Ming-Hai Lu Department of Animal Science, Heilongjiang State Farms Science Technology Vocational College, Harbin, China

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Shou-Long Deng CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China

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Hong-Bing Han Beijing Key Laboratory of Animal Genetic Improvement, China Agricultural University, Beijing, China

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Xiu-Qin Yang Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, College of Animal Science and Technology

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Yu-Chang Yao Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, College of Animal Science and Technology

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bioinformatics analysis of sheep IGF1 splice variants Based on GenBank and Ensemble sequences of IGF1 splice variants in different species, a conserved region was found by aligning sequences from multiple species. Considering sequence specificity and

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Nathalia Liberatoscioli Menezes Andrade Unidade de Endocrinologia Genetica (LIM 25), Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (USP), Sao Paulo, Brasil

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Mariana Ferreira de Assis Funari Unidade de Endocrinologia do Desenvolvimento, Laboratorio de Hormonios e Genetica Molecular (LIM42), Hospital das Clinicas da Faculdade de Medicina, Universidade de Sao Paulo (USP), Sao Paulo, Brasil

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Alexsandra Christianne Malaquias Departamento de Pediatria, Faculdade de Ciencias Medicas da Santa Casa de Sao Paulo, Sao Paulo, Brasil

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Paulo Ferrez Collett-Solberg Disciplina de Endocrinologia, Departamento de Medicina Interna, Faculdade de Ciências Medicas, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brasil

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Nathalia L R A Gomes Serviço de Endocrinologia, Unidade de Crescimento, Santa Casa de Belo Horizonte, Belo Horizonte, Minas Gerais, Brasil

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Renata Scalco Unidade de Endocrinologia do Desenvolvimento, Laboratorio de Hormonios e Genetica Molecular (LIM42), Hospital das Clinicas da Faculdade de Medicina, Universidade de Sao Paulo (USP), Sao Paulo, Brasil
Departamento de Medicina, Faculdade de Ciencias Medicas da Santa Casa de Sao Paulo, Sao Paulo, Brasil

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Naiara Castelo Branco Dantas Unidade de Endocrinologia Genetica (LIM 25), Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (USP), Sao Paulo, Brasil

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Raissa C Rezende Unidade de Endocrinologia Genetica (LIM 25), Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (USP), Sao Paulo, Brasil

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Angelica M F P Tiburcio Serviço de Endocrinologia, Unidade de Crescimento, Santa Casa de Belo Horizonte, Belo Horizonte, Minas Gerais, Brasil

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Micheline A R Souza Serviço de Endocrinologia do Instituto de Puericultura e Pediatria Martagao Gesteira/Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil

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Bruna L Freire Unidade de Endocrinologia Genetica (LIM 25), Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (USP), Sao Paulo, Brasil
Unidade de Endocrinologia do Desenvolvimento, Laboratorio de Hormonios e Genetica Molecular (LIM42), Hospital das Clinicas da Faculdade de Medicina, Universidade de Sao Paulo (USP), Sao Paulo, Brasil

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Ana C V Krepischi Centro de Pesquisa em Genoma Humano e Células-Tronco, Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de Sao Paulo, São Paulo, Brasil

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Carlos Alberto Longui Departamento de Pediatria, Faculdade de Ciencias Medicas da Santa Casa de Sao Paulo, Sao Paulo, Brasil

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Antonio Marcondes Lerario Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA

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Ivo J P Arnhold Unidade de Endocrinologia do Desenvolvimento, Laboratorio de Hormonios e Genetica Molecular (LIM42), Hospital das Clinicas da Faculdade de Medicina, Universidade de Sao Paulo (USP), Sao Paulo, Brasil

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Alexander A L Jorge Unidade de Endocrinologia Genetica (LIM 25), Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (USP), Sao Paulo, Brasil
Unidade de Endocrinologia do Desenvolvimento, Laboratorio de Hormonios e Genetica Molecular (LIM42), Hospital das Clinicas da Faculdade de Medicina, Universidade de Sao Paulo (USP), Sao Paulo, Brasil

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Gabriela Andrade Vasques Unidade de Endocrinologia Genetica (LIM 25), Hospital das Clínicas da Faculdade de Medicina, Universidade de São Paulo (USP), Sao Paulo, Brasil
Unidade de Endocrinologia do Desenvolvimento, Laboratorio de Hormonios e Genetica Molecular (LIM42), Hospital das Clinicas da Faculdade de Medicina, Universidade de Sao Paulo (USP), Sao Paulo, Brasil

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SHOX defects ( 27 ). In-house bioinformatic analysis was performed as previously reported ( 12 ). The sequences were aligned to the human reference genome sequence (GRCh37/hg19). Copy number variation (CNVs) analysis was also performed for all patients

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Yao Su Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Li Chen Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Dong-Yao Zhang Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xu-Pei Gan Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Yan-Nan Cao Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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De-Cui Cheng Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Wen-Yu Liu Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Fei-Fei Li Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xian-Ming Xu Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Hong-Kun Wang Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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.5. Collection of fecal samples and the extraction, amplification, database construction, and bioinformatics analysis of fecal DNA On the same day as the OGTT was conducted, 2–3 g (or four scoops) of fresh feces were collected with a sampler, soaked in a

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Aneta Gawlik Department of Pediatrics and Pediatric Endocrinology, School of Medicine in Katowice, Medical University of Silesia, Upper Silesia Children’s Care Health Centre, Katowice, Poland

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Michael Shmoish Bioinformatics Knowledge Unit, Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering, Technion – Israel Institute of Technology, Haifa, Israel

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Michaela F Hartmann Steroid Research & Mass Spectrometry Unit, Division of Pediatric Endocrinology and Diabetology, Center of Child and Adolescent Medicine, Justus Liebig University, Giessen, Germany

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Stefan A Wudy Steroid Research & Mass Spectrometry Unit, Division of Pediatric Endocrinology and Diabetology, Center of Child and Adolescent Medicine, Justus Liebig University, Giessen, Germany

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Zbigniew Olczak Department of Diagnostic Imaging, Upper Silesia Children’s Care Health Centre, Katowice, Poland

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Katarzyna Gruszczynska Department of Diagnostic Imaging, School of Medicine in Katowice, Medical University of Silesia, Upper Silesia Children’s Care Health Centre, Katowice, Poland

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Ze’ev Hochberg Faculty of Medicine, Technion – Israel Institute of Technology, Haifa, Israel

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Objective

Analysis of steroids by gas chromatography-mass spectrometry (GC-MS) defines a subject’s steroidal fingerprint. Here, we compare the steroidal fingerprints of obese children with or without liver disease to identify the ‘steroid metabolomic signature’ of childhood nonalcoholic fatty liver disease.

Methods

Urinary samples of 85 children aged 8.5–18.0 years with BMI >97% were quantified for 31 steroid metabolites by GC-MS. The fingerprints of 21 children with liver disease (L1) as assessed by sonographic steatosis (L1L), elevated alanine aminotransferases (L1A) or both (L1AL), were compared to 64 children without markers of liver disease (L0). The steroidal signature of the liver disease was generated as the difference in profiles of L1 against L0 groups.

Results

L1 comparing to L0 presented higher fasting triglycerides (P = 0.004), insulin (P = 0.002), INS/GLU (P = 0.003), HOMA-IR (P = 0.002), GGTP (P = 0.006), AST/SGOT (P = 0.002), postprandial glucose (P = 0.001) and insulin (P = 0.011). L1AL showed highest level of T-cholesterol and triglycerides (P = 0.029; P = 0.044). Fasting insulin, postprandial glucose, INS/GLU and HOMA-IR were highest in L1L and L1AL (P = 0.001; P = 0.017; P = 0.001; P = 0.001). The liver disease steroidal signature was marked by lower DHEA and its metabolites, higher glucocorticoids (mostly tetrahydrocortisone) and lower mineralocorticoid metabolites than L0. L1 patients showed higher 5α-reductase and 21-hydroxylase activity (the highest in L1A and L1AL) and lower activity of 11βHSD1 than L0 (P = 0.041, P = 0.009, P = 0.019).

Conclusions

The ‘steroid metabolomic signature’ of liver disease in childhood obesity provides a new approach to the diagnosis and further understanding of its metabolic consequences. It reflects the derangements of steroid metabolism in NAFLD that includes enhanced glucocorticoids and deranged androgens and mineralocorticoids.

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Veronica Astro Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

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Elisabetta Fiacco Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

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Kelly Johanna Cardona-Londoño Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

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Ilario De Toma Sequentia Biotech SL, Barcelona, Spain

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Hams Saeed Alzahrani Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

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Jumana Alama Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia

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Amal Kokandi Department of Dermatology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

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Taha Abo-Almagd Abdel-Meguid Hamoda Department of Urology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

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Majed Felemban Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
Center of Innovation in Personalized Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

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Antonio Adamo Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

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expanded the iPSCs. E F characterized the iPSCs, by immunofluorescence, Taqman assay, and STR analysis. E F performed Teratoma assays. V A, K J C L, and I D T performed the bioinformatic analysis. A A designed the study. V A and A A drafted the manuscript

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Luca Persani Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
Department of Endocrinology and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Milan, Italy

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Martine Cools Departments of Internal Medicine and Paediatrics and of Paediatric Endocrinology, Ghent University Hospital, Ghent, Belgium

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Stamatina Ioakim Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy

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S Faisal Ahmed Developmental Endocrinology Research Group, School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow, United Kingdom

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Silvia Andonova National Genetic Laboratory, UHOG “Maichin dom", Medical University, Sofia, Bulgaria

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Magdalena Avbelj-Stefanija Department for Pediatric Endocrinology, Diabetes and Metabolic Diseases, University Children's Hospital, University Medical Centre Ljubljana, Ljubljana, Slovenia

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Federico Baronio Pediatric Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy

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Jerome Bouligand Université Paris-Saclay, Inserm UMRS1185 & Service de Génétique Moléculaire, Pharmacogénétique et Hormonologie, Hôpital Bicêtre, France

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Hennie T Bruggenwirth Department of Clinical Genetics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands

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Justin H Davies Faculty of Medicine, University of Southampton, Southampton, United Kingdom

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Elfride De Baere Departments of Internal Medicine and Paediatrics and of Paediatric Endocrinology, Ghent University Hospital, Ghent, Belgium

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Iveta Dzivite-Krisane Children’s University Hospital, Riga, Latvia

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Paula Fernandez-Alvarez Department of Clinical and Molecular Genetics, Vall d'Hebron University Hospital, Barcelona, Spain

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Alexander Gheldof Center for Medical Genetics, Vrije Universiteit Brussel, Universitair Ziekenhuis Brussel, Brussels, Belgium

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Claudia Giavoli Unit of Endocrinology, Fondazione IRCCS Ospedale Maggiore Policlinico, Milano, Italy
Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy

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Claus H Gravholt Departments of Endocrinology, of Clinical Medicine and of Molecular Medicine, Aarhus University, Aarhus, Denmark

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Olaf Hiort University Hospital Schleswig-Holstein, Campus Lübeck, and University of Lübeck, Lübeck, Germany

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Paul-Martin Holterhus University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany

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Anders Juul Departments of Growth and Reproduction and of Clinical Medicine, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark

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Csilla Krausz Endocrinology and Andrology Units, University Hospital of Careggi and Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy

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Kristina Lagerstedt-Robinson Department of Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden

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Ruth McGowan Developmental Endocrinology Research Group, School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow, United Kingdom
West of Scotland Centre for Genomic Medicine, Queen Elizabeth University Hospital, Glasgow, United Kingdom

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Uta Neumann Charité Medicine University, Berlin, Germany

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Antonio Novelli Translational Cytogenomics Research Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy

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Xavier Peyrassol Universitè Libre di Bruxelles, Brussels, Belgium

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Leonidas A Phylactou Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus

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Julia Rohayem University Hospital Münster, Munster, Germany

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Philippe Touraine Center for Rare Endocrine and Gynecological Disorders, Department of endocrinology and reproductive Medicine, Hospital Pitié Salpêtrière, Paris, France

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Dineke Westra Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands

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Valeria Vezzoli Department of Endocrinology and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Milan, Italy

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Raffaella Rossetti Department of Endocrinology and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Milan, Italy

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CHH), (iii) the percentage of patients with positive NGS reports (i.e. cases with at least one rare non-synonymous variant in the candidate genes), (iv) quality criteria used for reporting, including bioinformatic support (i.e. reports including class

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Catherine Cardot Bauters CHU Lille, Service d’Endocrinologie, Diabétologie, Métabolisme-Nutrition, Hôpital Claude Huriez, Lille, France

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Emmanuelle Leteurtre Univ. Lille, Inserm, CHU Lille, UMR-S 1277-CANTHER, Cancer Heterogeneity, Plasticity & Resistance to Therapies, Lille, France

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Bruno Carnaille CHU Lille, Service de Chirurgie Endocrine, Hôpital Claude Huriez, Lille, France

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Christine Do Cao CHU Lille, Service d’Endocrinologie, Diabétologie, Métabolisme-Nutrition, Hôpital Claude Huriez, Lille, France

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Stéphanie Espiard CHU Lille, Service d’Endocrinologie, Diabétologie, Métabolisme-Nutrition, Hôpital Claude Huriez, Lille, France

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Malo Penven CHU Lille, Service de Biochimie Hormonologie, Métabolisme, Nutrition-Oncologie, Centre de Biologie Pathologie Génétique, Lille, France

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Evelyne Destailleur CHU Lille, Service de Biochimie Hormonologie, Métabolisme, Nutrition-Oncologie, Centre de Biologie Pathologie Génétique, Lille, France

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Isabelle Szuster CHU Lille, Service de Biochimie Hormonologie, Métabolisme, Nutrition-Oncologie, Centre de Biologie Pathologie Génétique, Lille, France

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Tonio Lovecchio CHU Lille, Service de Biochimie Hormonologie, Métabolisme, Nutrition-Oncologie, Centre de Biologie Pathologie Génétique, Lille, France

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Julie Leclerc Univ. Lille, Inserm, CHU Lille, UMR-S 1277-CANTHER, Cancer Heterogeneity, Plasticity & Resistance to Therapies, Lille, France
CHU Lille, Service de Biochimie Hormonologie, Métabolisme, Nutrition-Oncologie, Centre de Biologie Pathologie Génétique, Lille, France

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Fredéric Frénois Univ. Lille, CHU Lille, EA-7364 RADEME, Faculté de Médecine, Lille, France

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Emmanuel Esquivel Dept Medicine, Mays Cancer Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA

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Patricia L M Dahia Dept Medicine, Mays Cancer Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA

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Emilie Ait-Yahya CHU Lille, Institut de Biochimie & Biologie Moléculaire, Centre de Biologie Pathologie Génétique, Lille, France

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Michel Crépin CHU Lille, Service de Biochimie Hormonologie, Métabolisme, Nutrition-Oncologie, Centre de Biologie Pathologie Génétique, Lille, France

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Pascal Pigny CHU Lille, Service de Biochimie Hormonologie, Métabolisme, Nutrition-Oncologie, Centre de Biologie Pathologie Génétique, Lille, France

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of the libraries. After quantification of enriched target DNA, samples were pooled for multiplexed sequencing. NGS sequencing data were aligned to hg19 human reference and annotated using two independent bioinformatic pipelines (alignment using bwa v0

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June Young Choi Department of Surgery, Seoul National University Bundang Hospital, Seongnam-si, Korea

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Jin Wook Yi Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Jun Hyup Lee Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Ra-Yeong Song Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Hyeongwon Yu Department of Surgery, Seoul National University Bundang Hospital, Seongnam-si, Korea

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Hyungju Kwon Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Young Jun Chai Department of Surgery, Seoul National University Boramae Hospital, Seoul, Korea

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Su-jin Kim Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Kyu Eun Lee Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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–Meier estimator with log-rank test was used for survival analysis. Differentially expressed genes (DEG) and gene ontology (GO) tests between two VDR groups were performed using ‘EdgeR’ package, which is one of the bioinformatics tools in Bioconductor ( https

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Lijuan Yuan Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China
Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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Xihui Chen Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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Ziyu Liu Department of Microbiology, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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Dan Wu Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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Jianguo Lu Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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Guoqiang Bao Department of General Surgery, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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Sijia Zhang Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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Lifeng Wang Department of Biochemistry and Molecular Biology, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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Yuanming Wu Department of Biochemistry and Molecular Biology, Center for DNA Typing, Air Force Medical University, Xi’an, Shaanxi, People’s Republic of China

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for short read alignment . Bioinformatics 2009 25 1966 – 1967 . ( https://doi.org/10.1093/bioinformatics/btp336 ) 19497933 10.1093/bioinformatics/btp336 20 Li H Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform

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Huifei Sophia Zheng Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Jeffrey G Daniel Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Julia M Salamat Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Laci Mackay Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Chad D Foradori Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Robert J Kemppainen Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Satyanarayana R Pondugula Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Ya-Xiong Tao Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Chen-Che Jeff Huang Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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is not completely elucidated at the genome-wide level. In this study, RNA sequencing (RNA-seq) and downstream bioinformatics analysis were performed to explore the early transcriptional response to Dex exposure in vivo and in vitro . This study

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