Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Predictive value of 8 genetic Loci for serum uric Acid concentration (CROSBI ID 159060)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Gunjača, Grgo ; Boban, Mladen ; Pehlić, Marina ; Zemunik, Tatijana ; Budimir, Danijela ; Kolčić, Ivana ; Lauc, Gordan ; Rudan, Igor ; Polašek, Ozren Predictive value of 8 genetic Loci for serum uric Acid concentration // Croatian medical journal, 51 (2010), 1; 23-31. doi: 10.3325/cmj.2010.51.23

Podaci o odgovornosti

Gunjača, Grgo ; Boban, Mladen ; Pehlić, Marina ; Zemunik, Tatijana ; Budimir, Danijela ; Kolčić, Ivana ; Lauc, Gordan ; Rudan, Igor ; Polašek, Ozren

engleski

Predictive value of 8 genetic Loci for serum uric Acid concentration

To investigate the possibility to predict individual serum uric acid concentrations based on genomic information. Three population samples were investigated: isolated communities of the Adriatic Islands of Vis (n=980) and Korcula (n=944), and general population of Split (n=507). Serum uric acid concentration was correlated to the genetic risk score based on eight previously described genes: PDZK1, GCKR, SLC2A9, ABCG2, LRRC16A, SLC17A1, SLC16A9 and SLC22A12, represented by a total of 16 single-nucleotide polymorphisms (SNPs). The data were analyzed using classification and regression tree (CART) and general linear modeling (GLM). The most important variable for uric acid prediction with CART was 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, gender and genetic risk score were used as predictors, with a total of 30.9% of variance in pooled analysis. Despite 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 provides a valuable approach in genetic epidemiology and increases the predictability of human quantitative traits based on genomic information, compared to single SNP approach.

uric acid; prediction; data mining; SNP; genome-wide association; variance

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o izdanju

51 (1)

2010.

23-31

objavljeno

0353-9504

10.3325/cmj.2010.51.23

Povezanost rada

Temeljne medicinske znanosti, Kliničke medicinske znanosti, Biologija

Poveznice
Indeksiranost