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

ABSTRACT:

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-protein interaction transferal, and information on liver protein expression a protein-protein interaction network was constructed and from this a smaller isolated interactome was identified. Five genes from this interactome were selected for genetic analysis. Twenty-one tag single-nucleotide polymorphisms (SNPs) which captured all common variation in these genes were genotyped in 10,196 Danes, and analyzed for association with NAFLD-related quantitative traits, type 2 diabetes (T2D)

SUBMITTER: Banasik K 

PROVIDER: S-EPMC3029374 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature