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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Main Authors: 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
Sprog:Inglês
Udgivet: Public Library of Science 2011
Fag:
Research Article
Online adgang: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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