Evidence map›Paper›PMID 42650149›Full record

ArticleGenes2026

Population-Specific Genetic Markers of Prostate Cancer Risk in Kazakh Men: Association Analysis of 102 SNPs and Risk Prediction Modeling.

Kairat Kazbekov, Yerbol Zhapparov, Nasrulla Shanazarov, Valery Benberin, Sergey Zinchenko, Ainagul Kazbekova

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Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Kairat KazbekovMedical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Astana 010000, Kazakhstan.ORCID 0009-0002-3289-2181
Yerbol ZhapparovInternational Oncological Tomotherapy Center "Umit", Astana 010000, Kazakhstan.
Nasrulla ShanazarovMedical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Astana 010000, Kazakhstan.ORCID 0000-0002-2976-259X
Valery BenberinMedical Center Hospital of the President's Affairs Administration of the Republic of Kazakhstan, Astana 010000, Kazakhstan.
Sergey ZinchenkoDepartment of Surgery, Kazan Federal University, Kazan 420008, Republic of Tatarstan, Russia.
Ainagul KazbekovaDepartment of Internal Medicine, Astana Medical University, Astana 010000, Kazakhstan.ORCID 0000-0002-8300-2006

Funding

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6 · The paper itself

Abstract

BACKGROUND/

objectivesGWASs have identified more than 250 prostate cancer (PCa) predisposition loci, predominantly in European and partly Asian cohorts. The Kazakh population is markedly under-represented in international genetic studies, limiting existing risk models. This study aimed to analyze the distribution of 102 PCa-associated single-nucleotide polymorphism (SNP) genotypes and alleles and to identify reliable population-specific associations with PCa risk in Kazakh men.

methodsThis retrospective case-control study included 941 Kazakh men (476 with histologically confirmed PCa and 465 cancer-free controls). Genomic DNA extracted from peripheral blood was genotyped with TaqMan

resultsOf 102 SNPs, 39 showed nominally significant genotypic differences; 12 remained significant after Bonferroni correction and 2 after FDR (14 in total). Several of the corrected loci were significant at both the genotypic and allelic level. Allelic ORs ranged from 0.37 (protective rs10187424 T allele) to 4.81 (rs1545985). A parsimonious seven-SNP autosomal logistic-regression model achieved an apparent AuROC of 0.84 (10-fold cross-validated 0.82); adding age as a covariate raised discrimination to 0.87. Ten of the fourteen significant loci remained significant after age adjustment, and six of these formed a core signal robust to both age imbalance and genotyping-quality concerns.

conclusionsThis first large-scale SNP-association study in Kazakh men shows allele-frequency profiles resembling East Asian rather than European populations, confirming the need for population-specific genetic risk-assessment tools. The seven-SNP model showed high discriminatory power in the training set and requires external validation before clinical application.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideProstatic NeoplasmsAgedAllelesCase-Control StudiesCentral Asian PeopleGenetic MarkersGenome-Wide Association StudyGenotypeHumansKazakhstanMaleMiddle AgedRetrospective StudiesGenetic Markersgenetic risk of prostate cancerGWASKazakh populationprostate cancersingle-nucleotide polymorphism

Identifiers

PMID42650149
PMCPMC13512394

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