Bioinformatics-Driven Identification and Examination of Candidate Genes for Non-Alcoholic Fatty Liver Disease

OBJECTIVE: Candidate genes for non-alcoholic fatty liver disease (NAFLD) identified by a bioinformatics approach were examined for variant associations to quantitative traits of NAFLD-related phenotypes. RESEARCH DESIGN AND METHODS: By integrating public database text mining, trans-organism protein-...

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Autors principals: Banasik, Karina, Justesen, Johanne M., Hornbak, Malene, Krarup, Nikolaj T., Gjesing, Anette P., Sandholt, Camilla H., Jensen, Thomas S., Grarup, Niels, Andersson, Åsa, Jørgensen, Torben, Witte, Daniel R., Sandbæk, Annelli, Lauritzen, Torsten, Thorens, Bernard, Brunak, Søren, Sørensen, Thorkild I. A., Pedersen, Oluf, Hansen, Torben
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2011
Matèries:
Research Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3029374/
https://ncbi.nlm.nih.gov/pubmed/21339799
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0016542
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