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Xinge Tao Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Yanbin Xue Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Rui Niu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Wenjing Lu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Huayan Yao Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Chunmei He Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Bin Cui Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Changqin Liu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
Xiamen Key Laboratory for Clinical Efficacy and Evidence-Based Research of Traditional Chinese Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
Fujian Province Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of medicine, Xiamen University, Xiamen, China

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International Conference on Bioinformatics and Biomedicine (BIBM) , Shenzhen , 2016 , pp. 795 – 798 . ( https://doi.org/10.1109/BIBM.2016.7822626 ) 11 Qi J He P Yao H Xue Y Sun W Lu P Qi X Zhang Z Jing R Cui B , et al. Developing a

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Run-Qing Xiong Department of Ultrasonic Imaging, Xiamen Medical College Affiliated Second Hospital, Fujian, China

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Yan-Ping Li Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Fujian, China

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Lu-Ping Lin Department of Endocrinology, Xiamen Medical College Affiliated Second Hospital, Fujian, China

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Jeng-Yuan Yao Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Fujian, China

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://doi.org/10.1111/bph.12475 ) 12 Jiang C & Zhong G . Identify the characteristic genes of dilated cardiomyopathy and immune cell infiltration based on bioinformatics and machine learning . Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi 2023 39 26 – 33 . 13

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Jiwen Yang Department of Nuclear Medicine, Yijishan Hospital of Wannan Medical College, Wuhu City, Anhui Province, China

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Yayin Huang Department of Clinical Laboratory, The Second People’s Hospital of Wuhu, Wuhu City, Anhui Province, China

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Bohan Dong Department of Biochemistry and Molecular Biology, Wannan Medical College, Wuhu City, Anhui Province, China

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Yunhai Dai Department of Nuclear Medicine, Yijishan Hospital of Wannan Medical College, Wuhu City, Anhui Province, China

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. Bioinformatic analysis The expression of DLEU2 and TNFAIP8 in the TCGA database was analyzed using two websites ( http://ualcan.path.uab.edu/index.html ) and ( http://gepia.cancer-pku.cn/ ). Cell culture Human thyroid normal cell line Nthy-ori 3-1 and

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Qianqian Pang Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
Musculoskeletal Research Laboratory and Bone Quality and Health Assessment Centre, Department of Orthopedics & Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong

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Yuping Xu Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
Department of Endocrinology, The First Affiliated Hospital of Shanxi Medical University, Taiyuan, Shanxi, China

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Xuan Qi Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China

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Yan Jiang Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China

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Ou Wang Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China

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Mei Li Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China

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Xiaoping Xing Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China

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Ling Qin Musculoskeletal Research Laboratory and Bone Quality and Health Assessment Centre, Department of Orthopedics & Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, Hong Kong

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Weibo Xia Department of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China

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sequenced by an automated sequencer (ABI 373XL sequencer, Applied Biosystems) according to the manufacturer’s recommendation. Putative mutations were analyzed and compared using the Basic Local Alignment Search Tool (Blast). Bioinformatics analysis

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E R Polina Laboratory of Human Molecular Genetics, Universidade Luterana do Brasil (ULBRA), Canoas, Brazil

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F M Oliveira Laboratory of Human Molecular Genetics, Universidade Luterana do Brasil (ULBRA), Canoas, Brazil

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R C Sbruzzi Laboratory of Human Molecular Genetics, Universidade Luterana do Brasil (ULBRA), Canoas, Brazil

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D Crispim Endocrine Division, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil

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L H Canani Endocrine Division, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil
Department of Internal Medicine, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

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K G Santos Laboratory of Human Molecular Genetics, Universidade Luterana do Brasil (ULBRA), Canoas, Brazil
Cardiovascular Research Laboratory, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, Brazil

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. Bioinformatics analysis of weighted genes in diabetic retinopathy . Investigative Ophthalmology and Visual Science 2018 5558 – 5563 . ( https://doi.org/10.1167/iovs.18-25515 ) 43 Salmena L Poliseno L Tay Y Kats L Pandolfi PP . A ceRNA hypothesis

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Wei Li Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China

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Qing Huang Collage of Tourism and Service Management, Nankai University, Tianjin, People’s Republic of China

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Danyang Sun Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China

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Guizhi Zhang Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China

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Jian Tan Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China

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histological studies. Analysis of gene expression database To analyse comparative of RDM1 expression, several web-based bioinformatics tools were used. GEO statistical tool ( http://www.ncbi.nlm.nih.gov/geo/ ) and TCGA website ( https

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Benjamin G Challis Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke’s Hospital, Cambridge, UK
Wolfson Diabetes and Endocrine Centre, Addenbrooke’s Hospital, Cambridge, UK
IMED Biotech Unit, Clinical Discovery Unit, AstraZeneca, UK

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Andrew S Powlson Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke’s Hospital, Cambridge, UK
Wolfson Diabetes and Endocrine Centre, Addenbrooke’s Hospital, Cambridge, UK

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Ruth T Casey Wolfson Diabetes and Endocrine Centre, Addenbrooke’s Hospital, Cambridge, UK

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Carla Pearson Wolfson Diabetes and Endocrine Centre, Addenbrooke’s Hospital, Cambridge, UK

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Brian Y Lam Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke’s Hospital, Cambridge, UK

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Marcella Ma Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke’s Hospital, Cambridge, UK

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Deborah Pitfield Wolfson Diabetes and Endocrine Centre, Addenbrooke’s Hospital, Cambridge, UK

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Giles S H Yeo Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke’s Hospital, Cambridge, UK

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Edmund Godfrey Department of Radiology, Addenbrooke’s Hospital, Cambridge, UK

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Heok K Cheow Department of Radiology, Addenbrooke’s Hospital, Cambridge, UK
Department of Nuclear Medicine, Addenbrooke’s Hospital, Cambridge, UK

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V Krishna Chatterjee Metabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke’s Hospital, Cambridge, UK
Wolfson Diabetes and Endocrine Centre, Addenbrooke’s Hospital, Cambridge, UK

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Nicholas R Carroll Department of Radiology, Addenbrooke’s Hospital, Cambridge, UK

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Ashley Shaw Department of Radiology, Addenbrooke’s Hospital, Cambridge, UK

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John R Buscombe Department of Radiology, Addenbrooke’s Hospital, Cambridge, UK
Department of Nuclear Medicine, Addenbrooke’s Hospital, Cambridge, UK

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Helen L Simpson Department of Diabetes and Endocrinology, UCLH NHS Foundation Trust, London, UK

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concentrations (10 nM) of each library were pooled and subjected to one lane of paired-end 125 bp sequencing on an Illumina HiSeq 2500 System. Bioinformatics WES yielded an average of 19.5 M read pairs per sample and the sequence reads were aligned to the

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Kirsty G Pringle School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia

Hunter Medical Research Institute, New Lambton, Newcastle, New South Wales, Australia

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Sarah J Delforce School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia

Hunter Medical Research Institute, New Lambton, Newcastle, New South Wales, Australia

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Yu Wang School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia

Hunter Medical Research Institute, New Lambton, Newcastle, New South Wales, Australia

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Katie A Ashton School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia

Hunter Medical Research Institute, New Lambton, Newcastle, New South Wales, Australia

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Anthony Proietto Hunter Centre for Gynaecological Cancer, John Hunter Hospital, Newcastle, New South Wales, Australia

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Geoffrey Otton Hunter Centre for Gynaecological Cancer, John Hunter Hospital, Newcastle, New South Wales, Australia

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C Caroline Blackwell School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia

Hunter Medical Research Institute, New Lambton, Newcastle, New South Wales, Australia

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Rodney J Scott School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia

Hunter Medical Research Institute, New Lambton, Newcastle, New South Wales, Australia
Division of Molecular Medicine, Pathology North, Newcastle, New South Wales, Australia

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Eugenie R Lumbers School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, New South Wales, Australia

Hunter Medical Research Institute, New Lambton, Newcastle, New South Wales, Australia

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Rodriguez S Day IN. Cubic exact solutions for the estimation of pairwise haplotype frequencies: implications for linkage disequilibrium analyses and a web tool ‘CubeX’ . BMC Bioinformatics 2007 8 428 . ( doi:10.1186/1471-2105-8-428 ) 17

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Irvin M Modlin Wren Laboratories, Yale University School of Medicine, 35 NE Industrial Road, Branford, Connecticut, USA

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Harry Aslanian Wren Laboratories, Yale University School of Medicine, 35 NE Industrial Road, Branford, Connecticut, USA

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Lisa Bodei Wren Laboratories, Yale University School of Medicine, 35 NE Industrial Road, Branford, Connecticut, USA
Wren Laboratories, Yale University School of Medicine, 35 NE Industrial Road, Branford, Connecticut, USA

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Ignat Drozdov Wren Laboratories, Yale University School of Medicine, 35 NE Industrial Road, Branford, Connecticut, USA

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Mark Kidd Wren Laboratories, Yale University School of Medicine, 35 NE Industrial Road, Branford, Connecticut, USA

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.1371/journal.pone.0064201 ). 21 Hood L Tian Q . Systems approaches to biology and disease enable translational systems medicine . Genomics, Proteomics & Bioinformatics 2012 10 181 – 185 . ( doi:10.1016/j.gpb.2012.08.004 ). 22 Modlin I Drozdov I

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Bingbing Wang Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA

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Mayra Cruz Ithier Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA

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Nataliya Parobchak Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA

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Stacy M Yadava Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA

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Jay Schulkin Department of Obstetrics, Gynecology, University of Washington, Seattle, Washington, USA

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Todd Rosen Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA

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could be perceived as prejudicing the impartiality of the research reported. Funding This study was in part (ChIP-seq and bioinformatics analysis) supported by an NIEHS grant (ES005022) to B W. References 1 Bodnar LM Klebanoff MA

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