Attitudes about genetic testing for breast-ovarian cancer susceptibility

J Clin Oncol. 1994 Apr;12(4):843-50. doi: 10.1200/JCO.1994.12.4.843.

Abstract

Purpose: In anticipation of the availability of genetic testing for a breast-ovarian cancer susceptibility gene (BRCA1), this study examined interest in and expectations about the impact of a potential genetic test.

Patients and methods: The subjects were 121 first-degree relatives (FDRs) of ovarian cancer patients. The design was cross-sectional. Subjects completed a structured telephone interview of attitudes about cancer and genetic testing, and self-report psychologic questionnaires to assess coping style and mood disturbance.

Results: Overall, 75% of FDRs said that they would definitely want to be tested for BRCA1 and 20% said they probably would. In bivariate analyses, interest was associated positively with education, perceived likelihood of being a gene carrier, perceived risk of ovarian cancer, ovarian cancer worries, and mood disturbance. In logistic regression analysis, perceived likelihood of being a gene carrier was associated strongly with interest (odds ratio, 3.7; P = .006). Results of stepwise linear regression modeling indicated that an anticipated negative impact of genetic testing was associated with being younger (beta = -.66, P = .009), having more mood disturbance (beta = .015, P = .01), and having an information-seeking coping style (beta = .19, P = .002).

Conclusion: These results suggest that the demand for genetic testing for BRCA1 among FDRs of cancer patients may be great. Moreover, those who elect to participate may represent a more psychologically vulnerable subgroup of high-risk women.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Attitude to Health*
  • Breast Neoplasms / genetics
  • Breast Neoplasms / psychology*
  • Cross-Sectional Studies
  • Disease Susceptibility
  • Female
  • Genetic Testing / psychology*
  • Humans
  • Middle Aged
  • Ovarian Neoplasms / genetics
  • Ovarian Neoplasms / psychology*
  • Regression Analysis
  • Risk Assessment