Breast Cancer Research and Treatment

, Volume 93, Issue 3, pp 261–270 | Cite as

Estrogen Metabolizing Polymorphisms and Breast Cancer Risk Among Older White Women

  • Francesmary ModugnoEmail author
  • Joseph M. Zmuda
  • Douglas Potter
  • Chao Cai
  • Elad Ziv
  • Steven R. Cummings
  • Katie L.  Stone
  • Phillip A. Morin
  • Deborah Greene
  • Jane A. Cauley


Objective. To investigate breast cancer risk according to metabolizing genes polymorphisms in older women.

Methods. A subset (43.8%) of 4248 older, white women from the Study of Osteoporotic Fractures (SOF) were genotyped for the catechol-O-methyltransferase (COMT) Val108Met polymorphism and the CYP1A1*2C locus. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between genotypes and breast cancer while controlling for potential confounders.

Results. During a mean follow up of 12.4 years, 252 women (5.9%) developed breast cancer. The HR (95% CI) for breast cancer was 1.24 (0.87–1.75) for COMT Val/Met and 1.35 (0.93–1.97) for COMT Met/Met . No interactions with lifestyle and reproductive factors were found. The HR associated with the CYP1A1*2C Val allele was 0.80 (0.46, 1.39) with little evidence for interactions with lifestyle or reproductive factors.

Conclusions. Among older white women, neither the COMT Val108/158Met polymorphism nor the CYP1A*2C Val allele plays a major role in breast cancer risk either alone or in combination with lifestyle and reproductive factors.

Key words

breast neoplasms epidemiology estrogen metabolism genetic polymorphisms prospective cohort study 


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Copyright information

© Springer 2005

Authors and Affiliations

  • Francesmary Modugno
    • 1
    • 2
    Email author
  • Joseph M. Zmuda
    • 1
  • Douglas Potter
    • 2
    • 3
  • Chao Cai
    • 2
  • Elad Ziv
    • 4
  • Steven R. Cummings
    • 5
  • Katie L.  Stone
    • 4
  • Phillip A. Morin
    • 6
  • Deborah Greene
    • 7
  • Jane A. Cauley
    • 1
  1. 1.Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghUSA
  2. 2.University of Pittsburgh Cancer InstitutePittsburghUSA
  3. 3.Department of Biostatistics, Graduate School of Public HealthUniversity of PittsburghPittsburghUSA
  4. 4.Department of MedicineUniversity of California (San Francisco)San FranciscoUSA
  5. 5.Director of Clinical Research, San Francisco Coordinating CenterCalifornia Pacific Medical Center Research InstituteSan FranciscoUSA
  6. 6.Axys Pharmaceuticals, Inc. Southwest Fisheries Science CenterSan Francisco, La JollaUSA
  7. 7.Roche Molecular SystemsPleasantonUSA

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