Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease.

Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease.

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.By integrating public database text mining, trans-organism protein-protein interaction transferal, and infor...

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Bibliographic Details
Main Authors: Karina Banasik, Johanne M Justesen, Malene Hornbak, Nikolaj T Krarup, Anette P Gjesing, Camilla H Sandholt, Thomas S Jensen, Niels Grarup, Asa Andersson, Torben Jørgensen, Daniel R Witte, Annelli Sandbæk, Torsten Lauritzen, Bernard Thorens, Søren Brunak, Thorkild I A Sørensen, Oluf Pedersen, Torben Hansen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3029374?pdf=render

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http://europepmc.org/articles/PMC3029374?pdf=render

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