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Association between genetic variants in p53 binding sites and risks of breast cancer in Chinese population / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 1063-1068, 2016.
Article in Chinese | WPRIM | ID: wpr-737537
ABSTRACT
Objective To investigate the association between breast tissue specified variants in p53 binding sites and the risk of BC in Chinese women.Methods ChIP-seq database on p53 binding sites in MCF-7 cell lines was extracted to identify the possible variants in p53 target genes.A hospital-based case-control study was then performed to investigate the association between variants in p53 binding sites and the risk of BC in a Chinese women population.Results Three variants were identified from the bioinformatics analysis.A total of 1 274 BC cases and 1 255 frequency-matched cancer-free controls were included in this case-control study.The average age was comparable between the case and the control groups,with the P value as 0.318.Meanwhile,distributions on menopausal status,smoking and alcohol intake between cases and controls were similar with the P values as 0.539,0.258 and 0.131,respectively.The genotype distribution of rs1295925 was significantly different between the case and the control groups.Individuals that carrying rs1295925-CT and rs1295925-TT genotypes were significantly associated with an increased BC risk when compared with rs1295925-CC genotype after adjustment of age,menopausal status,smoking and alcohol intake (0R=1.32,95% CI1.07-1.62 and OR=1.41,95%CI1.13-1.78,respectively).Positive associations were also observed under the allelic,dominant and additive models.Conclusion rs1295925 which located in VMP1 gene was associated with increased BC risk in the Chinese women population.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2016 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2016 Type: Article