Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease
Research output: Contribution to journal › Journal article › Research › peer-review
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.
|Journal||P L o S One|
|Publication status||Published - 1 Jan 2011|
- Case-Control Studies, Computational Biology, Data Mining, Denmark, Diabetes Mellitus, Type 2, Fatty Liver, Humans, Metabolic Syndrome X, Middle Aged, Obesity, Phenotype, Polymorphism, Single Nucleotide, Protein Binding, Quantitative Trait Loci