Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/2025
DC FieldValueLanguage
dc.contributor.authorNikolić, Zorana Z.en_US
dc.contributor.authorBranković, Ana S.en_US
dc.contributor.authorSavić Pavićević, Dušanka LJ.en_US
dc.contributor.authorPreković, Stefan M.en_US
dc.contributor.authorVukotić, Vinka D.en_US
dc.contributor.authorCerović, Snežana J.en_US
dc.contributor.authorFilipović, Nataša N.en_US
dc.contributor.authorTomović, Saša M.en_US
dc.contributor.authorRomac, Stanka P.en_US
dc.contributor.authorBrajušković, Goran N.en_US
dc.date.accessioned2019-10-20T20:22:35Z-
dc.date.available2019-10-20T20:22:35Z-
dc.date.issued2014-08-
dc.identifier.issn1752-8054-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/2025-
dc.description.abstractThis study aimed to evaluate possible association between genotypes and alleles of two 17q12 polymorphisms (rs3760511 and rs7501939) and prostate cancer (PCa) risk and progression. Two hundred seventy-one patients with PCa, 261 patients with benign prostatic hyperplasia (BPH), and 171 controls were included in the study. Single nucleotide polymorphisms (SNPs) were genotyped by using PCR followed by restriction fragment length (PCR-RFLP) analysis. We conducted meta-analysis of published studies regarding association of these SNPs with PCa risk. Evidence of positive association between the AC genotype of the SNP rs3760511 and BPH risk for the best-fitting overdominant model of association (BPH vs. controls comparison, p = 0.026; odds ratio [OR] = 1.58; 95% confidence interval [95%CI] 1.05-2.36) were obtained. The association between T allele of rs7501939 and PCa risk was determined in PCa versus controls comparison (p = 0.0032; OR = 0.66, 95%CI 0.50-0.87) with the best-fitting model of inheritance being log-additive. This variant was also found to be associated with the risk of BPH (p = 0.0023; OR = 0.65, 95%CI 0.49-0.86). We found no association between parameters of PCa progression and the analyzed SNPs. Meta-analysis showed strong association between these variants and PCa risk. Our study shows association between SNPs at locus 17q12 and the risk of prostatic diseases in Serbian population. At the same time, results of meta-analysis suggest the association of these SNPs with PCa risk. © 2014 Wiley Periodicals, Inc.en_US
dc.language.isoenen_US
dc.relation.ispartofClinical and Translational Scienceen_US
dc.subject17q12en_US
dc.subjectAssociation studyen_US
dc.subjectMeta-analysisen_US
dc.subjectProstate canceren_US
dc.subjectSingle nucleotide polymorphism (SNP)en_US
dc.titleAssessment of association between common variants at 17q12 and prostate cancer risk-evidence from serbian population and meta-analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1111/cts.12130-
dc.identifier.pmid24422606-
dc.identifier.scopus2-s2.0-84906281407-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84906281407-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptChair of Biochemistry and Molecular Biology-
crisitem.author.deptChair of Biochemistry and Molecular Biology-
crisitem.author.orcid0000-0002-2079-4077-
crisitem.author.orcid0000-0002-3935-6755-
Appears in Collections:Journal Article
Files in This Item:
File Description SizeFormat Existing users please
Nikolic Z et al. 2014 CTSJOURNAL.pdf860.49 kBAdobe PDF
    Request a copy
Show simple item record

SCOPUSTM   
Citations

4
checked on Nov 20, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.