ArticleBreast cancer research and treatment2025
Strong association of single nucleotide polymorphisms in BRCA1, ATM, and CHEK2 with breast cancer susceptibility in a sub-population of Iranian women.
Article in Breast cancer research and treatment, 2025. 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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Abstract
backgroundBreast cancer (BC) is the most prevalent malignancy in females worldwide. Mutations in the DNA repair pathway genes contribute to a significant increase in BC risk. The present study aimed to assess the frequency of polymorphisms in BRCA1, ATM, and CHEK2 genes and their association with BC susceptibility in the Kurdish population from the West of Iran.
methodsIn the present case-control study, the distribution of single nucleotide polymorphisms (SNPs) in CHEK2 (rs17879961), ATM (rs28904921), and BRCA1 (rs80357906, rs1555576855, rs1555576858, and rs397509247) genes were investigated in 335 BC cases and 354 healthy-matched controls by Taqman allelic discrimination assay. The chi-square goodness-of-fit test was employed for the assessment of Hardy-Weinberg Equation. Relative risk and odds ratios were calculated based on the Koopman asymptotic score and the Baptista-Pike method, respectively. Also, the sensitivity and specificity of each polymorphism were assessed using the Wilson-Brown test and a P-value < 0.05 indicating significant differences between the two groups in all assessments.
resultsData showed there was a strong association between rs397509247 (OR = 7.53, 95% CI 1.88-90.91, p = 0.004), rs1555576858 (OR = 10.53, 95% CI 0.01-0.51, p = 0.0005), and rs80357906 (OR = 6.33, 95% CI 0.05-0.043, p < 0.0001) in BRCA1 gene and rs17879961 (OR = 3.52, 95% CI 0.084-0.946, p = 0.02) in CHEK2 gene, with BC risk in the population of interest. Among these, rs28904921 in ATM gene demonstrated the strongest association (OR = 72.66, 95% CI 0.007-0.214, p < 0.0001). This suggests that these SNPs, particularly rs28904921, are significantly associated with an increased risk of BC in the studied population.
conclusionOur results indicated that BRCA1, ATM, and CHEK2 polymorphisms have a high frequency in the Iranian breast cancer population, with some mutant allele frequencies being much higher than those reported in other populations. We have also provided a simple, multiplex, rapid, and accurate genotyping assay that is useful in clinical settings.
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