bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver diseasebioinformatics-driven识别和检测非酒精脂肪肝疾病的候选基因.pdf

Bioinformatics-Driven Identification and Examination of Candidate Genes for Non-Alcoholic Fatty Liver Disease 1,2 1 1,4 1 1 Karina Banasik *, Johanne M. Justesen , Malene Hornbak , Nikolaj T. Krarup , Anette P. Gjesing , 1 3 1 ˚ 4 2,5 Camilla H. Sandholt , Thomas S. Jensen , Niels Grarup , Asa Andersson , Torben Jørgensen , Daniel R. 6 7 7 8 3 Witte , Annelli Sandbæk , Torsten Lauritzen , Bernard Thorens , Søren Brunak , Thorkild I. A. Sørensen2,9, Oluf Pedersen1,2,10, Torben Hansen1,11 1 Hagedorn Research Institute, Gentofte, Denmark, 2 Institute of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark, 3 Center for Biological Sequence Analysis, Technical University of Denmark, Lyngby, Denmark, 4 Faculty of Pharmaceutical Sciences, University of Copenhagen, Copenhagen, Denmark, 5 Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark, 6 Steno Diabetes Center, Gentofte, Denmark, 7 Department of General Practice, University of Aarhus, Aarhus, Denmark, 8 Institute of Pharmacology and Toxicology, University of Lausanne, Lausanne, Switzerland, 9 Institute of Preventive Medicine, Copenhagen, University Hospital, Center for Health and Society, Copenhagen, Denmark, 10 Faculty of Health Sciences, University of Aarhus, Aarhus, Denmark, 11 Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark Abstract Objective: Candidate genes for non-alcoholic fatty liver disease