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Reproductive risk factors in breast cancer and genetic hormonal pathways: a gene-environment interaction in the MCC-Spain project

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  • معلومة اضافية
    • بيانات النشر:
      BioMed Central
    • الموضوع:
      2018
    • Collection:
      Dipòsit Digital de la Universitat de Barcelona
    • نبذة مختصرة :
      BACKGROUND: Reproductive factors are well known risk factors for breast cancer; however, little is known about how genetic variants in hormonal pathways interact with that relationship. METHODS: One thousand one hundred thirty nine cases of breast cancer in women and 1322 frequency-matched controls were compared. Genetic variants in hormonal pathways (identified in the Kyoto Encyclopedia of Genes and Genomes) were screened according to their relationship with breast cancer using the Cochran-Armitage statistic. Information on reproductive factors was obtained using a face-to-face questionnaire. The interaction among the selected genetic variants and reproductive factors was tested with logistic regression. RESULTS: Concerning C allele in rs2229712, compared to nulliparity in non-carriers the ORs for 1-2 and > 2 deliveries were 0.48 (0.28-0.81) and 0.34 (0.19-0.59), and in C carriers they were 0.92 (0.42-1.98) and 0.71 (0.31-1.61). Similar results were found in women carrying the C allele in rs1269851. Carriers of Allele T in rs35652107 and allele C in rs6018027 had the delivery number effect more pronounced. CONCLUSIONS: The number of deliveries had a dose-response protective effect on breast cancer; women carrying C allele in rs2229712 did not benefit from this protective effect.
    • File Description:
      9 p.; application/pdf
    • ISSN:
      1471-2407
    • Relation:
      Reproducció del document publicat a: https://doi.org/10.1186/s12885-018-4182-3; BMC Cancer, 2018, vol. 18, p. 280; https://doi.org/10.1186/s12885-018-4182-3; http://hdl.handle.net/2445/137201; 685308
    • Rights:
      cc-by (c) Dierssen Sotos, Trinidad et al., 2018 ; http://creativecommons.org/licenses/by/3.0/es ; info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.50A77256