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J Cell Mol Med ; 22(7): 3671-3678, 2018 07.
Artículo en Inglés | MEDLINE | ID: mdl-29691986

RESUMEN

We tested the hypothesis that genetic variation in ATM and BMI-1 genes can alter the risk of breast cancer through genotyping 6 variants among 524 breast cancer cases and 518 cancer-free controls of Han nationality. This was an observational, hospital-based, case-control association study. Analyses of single variant, linkage, haplotype, interaction and nomogram were performed. Risk was expressed as odds ratio (OR) and 95% confidence interval (CI). All studied variants were in the Hardy-Weinberg equilibrium and were not linked. The mutant allele frequencies of rs1890637, rs3092856 and rs1801516 in ATM gene were significantly higher in cases than in controls (P = .005, <.001 and .001, respectively). Two variants, rs1042059 and rs201024480, in BMI-1 gene were low penetrant, with no detectable significance. After adjustment, rs189037 and rs1801516 were significantly associated with breast cancer under the additive model (OR: 1.37 and 1.52, 95% CI: 1.10-1.71 and 1.14-2.04, P: .005 and .005, respectively). In haplotype analysis, haplotypes A-C-G-G (in order of rs189037, rs3092856, rs1801516 and rs373759) and A-C-A-A in ATM gene were significantly associated with 1.98-fold and 6.04-fold increased risk of breast cancer (95% CI: 1.36-2.90 and 1.65-22.08, respectively). Nomogram analysis estimated that the cumulative proportion of 3 significant variants in ATM gene was about 12.5%. Our findings collectively indicated that ATM gene was a candidate gene in susceptibility to breast cancer in Han Chinese.


Asunto(s)
Proteínas de la Ataxia Telangiectasia Mutada/genética , Neoplasias de la Mama/genética , Complejo Represivo Polycomb 1/genética , Polimorfismo de Nucleótido Simple , Adolescente , Pueblo Asiatico/genética , Neoplasias de la Mama/patología , Estudios de Casos y Controles , Femenino , Frecuencia de los Genes , Ligamiento Genético , Predisposición Genética a la Enfermedad , Haplotipos , Humanos , Menarquia/genética , Persona de Mediana Edad , Nomogramas
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