Predictive value of 8 genetic loci for serum uric acid concentration.

ABSTRACT:

Aim

To investigate the value of genomic information in prediction of individual serum uric acid concentrations.

Methods

Three population samples were investigated: from isolated Adriatic island communities of Vis (n=980) and Korcula (n=944), and from general population of the city of Split (n=507). Serum uric acid concentration was correlated with the genetic risk score based on 8 previously described genes: PDZK1, GCKR, SLC2A9, ABCG2, LRRC16A, SLC17A1, SLC16A9, and SLC22A12, represented by a total of 16 single-nucleotide polymorphisms (SNP). The data were analyzed using classification and regression tree (CART) and general linear modeling.

Results

The most important variables for uric acid prediction with CART were genetic risk score in men and age in women. The perc

SUBMITTER: Gunjaca G 

PROVIDER: S-EPMC2829178 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature