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A Family-based Genetic Association Study of Variants in Estrogen-metabolism Genes COMT and CYP1B1 and Breast Cancer Risk

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Abstract

In this paper, we report findings from a family-based association study examining the association between polymorphisms in two key estrogen-metabolism genes CYP1B1 (codon 432 G → C and codon 453 A → G variants) and COMT (codon 158 G → A variant) and female breast cancer. We conducted the study among 280 nuclear families containing one or more daughters with breast cancer with a total of 1124 family members (702 with available constitutional DNA and questionnaire data and 421 without). These nuclear families were selected from breast cancer families participating in the Metropolitan New York Registry (MNYR) — one of the six centers of NCI's Breast Cooperative Family Registry. We used likelihood-based statistical methods to examine the allelic associations. We found none of the variant alleles of the CYP1B1 and COMT genes to be associated with breast cancer in these families. This was consistent with results from matched case-control analyses using all available sib-ships in these families. However, we found that parental carrier status of the CYP1B1 codon 453 variant G allele and the COMT codon 158 variant A allele was associated with breast cancer risk in daughters (independent of the daughters' own genotype). In conclusion, findings from this family-based study indicate that a woman's own CYP1B1 or COMT genotypes are not associated with her breast cancer risk. Although the study found that parental carrier status of certain CYP1B1 or COMT genotypes might be associated with daughter's breast cancer risk, the biological basis as well as independent confirmation of this finding need to be investigated in future larger family-based studies before making meaningful inferences.

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Authors and Affiliations

  1. Department of Epidemiology, Mailman School of Public Health, 722 West 168th Street, Room 720G, New York, NY, 10032, USA

    Habibul Ahsan, Yu Chen, Muhammad G. Kibriya & Ruby T. Senie

  2. Department of Environmental Health Sciences, Mailman School of Public Health, New York, NY, USA

    Irina Gurvich & Regina M. Santella

  3. Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA

    Habibul Ahsan, Ruby T. Senie & Regina M. Santella

  4. Department of Health Research and Policy, Division of Epidemiology, Stanford University, Stanford, CA, USA

    Alice S. Whittemore

Authors
  1. Habibul Ahsan
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  2. Yu Chen
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  3. Alice S. Whittemore
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  4. Muhammad G. Kibriya
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  5. Irina Gurvich
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  6. Ruby T. Senie
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  7. Regina M. Santella
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Correspondence to Habibul Ahsan.

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Ahsan, H., Chen, Y., Whittemore, A.S. et al. A Family-based Genetic Association Study of Variants in Estrogen-metabolism Genes COMT and CYP1B1 and Breast Cancer Risk. Breast Cancer Res Treat 85, 121–131 (2004). https://doi.org/10.1023/B:BREA.0000025401.60794.68

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  • DOI: https://doi.org/10.1023/B:BREA.0000025401.60794.68

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