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Pregled bibliografske jedinice broj: 445185

Časopis

Autori: Gunjača, Grgo; Boban, Mladen; Pehlić, Marina; Zemunik, Tatijana; Budimir, Danijela; Kolčić, Ivana; Lauc, Gordan; Rudan, Igor; Polašek, Ozren
Naslov: Predictive value of 8 genetic Loci for serum uric Acid concentration
( Predictive value of 8 genetic Loci for serum uric Acid concentration )
Izvornik: Croatian medical journal (0353-9504) 51 (2010), 1; 23-31
Vrsta rada: članak
Ključne riječi: uric acid; prediction; data mining; SNP; genome-wide association; variance
( uric acid; prediction; data mining; SNP; genome-wide association; variance )
Sažetak:
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.
Projekt / tema: 216-1080315-0293, 216-1080315-0302, 216-2160547-0537
Izvorni jezik: eng
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
MEDLINE
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Biologija,Temeljne medicinske znanosti,Kliničke medicinske znanosti
URL Internet adrese: http://www.cmj.hr/2010/51/1/20162742.htm
Broj citata:
Altmetric:
DOI: 10.3325/cmj.2010.51.23
URL cjelovitog teksta:
Google Scholar: Predictive value of 8 genetic Loci for serum uric Acid concentration
Upisao u CROSBI: opolasek@mef.hr (opolasek@mef.hr), 21. Vel. 2010. u 11:27 sati



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