ArticleCroatian medical journal2010
Predictive value of 8 genetic loci for serum uric acid concentration.
Article in Croatian medical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Analysis of microRNA expression in patients with uric acid calculi.Urolithiasis · 2025Article
- Mechanism of PDZK1 in Hepatocellular Carcinoma Complicated with Hyperuricemia.Journal of oncology · 2022Article
- Urate Handling in the Human Body.Current rheumatology reports · 2016Review
- Associations of the uric acid related genetic variants in SLC2A9 and ABCG2 loci with coronary heart disease risk.BMC genetics · 2015Article
- Evaluation of genetic risk scores for prediction of dichotomous outcomes.International journal of molecular epidemiology and genetics · 2015Article
- Article
- Evaluation of genetic susceptibility to childhood allergy and asthma in an African American urban population.BMC medical genetics · 2011Article
- Uric acid: the past decade.Croatian medical journal · 2010Article
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Authors and funding
9 authors.
Funding
Abstract
aimTo investigate the value of genomic information in prediction of individual serum uric acid concentrations.
methodsThree 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.
resultsThe most important variables for uric acid prediction with CART were genetic risk score in men and age in women. The percent of variance for any single SNP in predicting serum uric acid concentration varied from 0.0%-2.0%. The use of genetic risk score explained 0.1%-2.5% of uric acid variance in men and 3.9%-4.9% in women. The highest percent of variance was obtained when age, sex, and genetic risk score were used as predictors, with a total of 30.9% of variance in pooled analysis.
conclusionDespite overall low percent of explained variance, uric acid seems to be among the most predictive human quantitative traits based on the currently available SNP information. The use of genetic risk scores is a valuable approach in genetic epidemiology and increases the predictability of human quantitative traits based on genomic information compared with single SNP approach.
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