Screen-positive rates and agreement among six family history screening protocols for breast/ovarian cancer in a population-based cohort of 21- to 55-year-old women.
Publication/Presentation Date
3-1-2006
Abstract
PURPOSE: Mutations in the BRCA1 and BRCA2 genes are responsible for approximately 2% of breast cancers by age 70 years. Professional and governmental groups recommend using family history protocols as an initial step in identifying women and families for mutation testing. We assess screen-positive rates and levels of agreement between these protocols.
METHODS: We applied six family history screening protocols to a population-based cohort of 321 women, age 21 to 55 years, who reported their personal and family history of breast and ovarian cancer.
RESULTS: The proportion of women and families identified as candidates for mutation testing ranged from 4.4% to 7.8%, depending on the protocol. The protocols had low or fair agreement (kappa < 0.75 for 14 of 15 comparisons), but all identified six women (1.9%, 95% confidence interval 0.7%-4.0%) as screen positive. When the effect of missing ages of cancer onset was modeled, these rates increased (range 6.5%-11.5%), and nine women (2.8%) were screen positive by all protocols.
CONCLUSION: Given limitations of family history as a screening test for hereditary cancer related to BRCA1/2 mutations, 1% to 2% of women in the general population should initially be identified for mutation testing. One way to achieve this would be to require that multiple screening protocols agree.
Volume
8
Issue
3
First Page
161
Last Page
168
ISSN
1098-3600
Published In/Presented At
Palomaki, G. E., McClain, M. R., Steinort, K., Sifri, R., LoPresti, L., & Haddow, J. E. (2006). Screen-positive rates and agreement among six family history screening protocols for breast/ovarian cancer in a population-based cohort of 21- to 55-year-old women. Genetics in medicine : official journal of the American College of Medical Genetics, 8(3), 161–168. https://doi.org/10.1097/01.gim.0000204458.84988.f2
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
16540750
Department(s)
Administration and Leadership
Document Type
Article