Familial Breast and Ovarian Cancer: A Swedish Population-based Register Study

Authors: H. Anderson; A. Bladström; H. Olsson; T.R. Möller

Source: American Journal of Epidemiology, Volume 152, Number 12, 15 December 2000 , pp. 1154-1163(10)

Publisher: Oxford University Press

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Abstract:

A cohort of offspring of mothers with breast or ovarian cancer diagnosed in 1958–1993 was established using Swedish population-based registers. The children (n = 158,041) were born between 1941 and 1993, and their cancer incidence was followed between 1961 and 1993. A total of 3,257 tumors in 3,102 children were found. Observed numbers of cases were compared with expected numbers based on national calendar year-, age-, and sex-specific incidences. For daughters of women with breast cancer, the standardized morbidity ratios for being diagnosed with breast cancer and ovarian cancer before age 50 years were 1.99 (95% confidence interval (CI): 1.86, 2.14) and 1.28 (95% CI: 1.05, 1.54), respectively. The corresponding figures for daughters of women with ovarian cancer were 1.79 (95% CI: 1.55, 2.07) and 2.38 (95% CI: 1.77, 3.12). The risks were raised if the mother's cancer was diagnosed at a young age, the mother had multiple breast/ovarian diagnoses, or there was a sister with breast/ovarian cancer. Among all offspring, increased risks were found for thyroid cancer, testicular cancer, and malignant melanoma, while lung cancer risk was decreased if the mother had had breast cancer. The authors developed a variance estimator for the standardized morbidity ratio to cope with overdispersion due to dependency within families.

Document Type: Original article

Affiliations: 1: Department of Cancer Epidemiology, University Hospital, Lund, Sweden.

Publication date: 2000-12-15

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  • The American Journal of Epidemiology is the premier epidemiological journal devoted to the publication of empirical research findings, methodological developments in the field of epidemiological research and opinion pieces. It is aimed at both fellow epidemiologists and those who use epidemiological data, including public health workers and clinicians.
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