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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Detalles Bibliográficos
Autores principales: 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
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3029374/
https://www.ncbi.nlm.nih.gov/pubmed/21339799
http://dx.doi.org/10.1371/journal.pone.0016542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3029374/
https://www.ncbi.nlm.nih.gov/pubmed/21339799
http://dx.doi.org/10.1371/journal.pone.0016542

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