BREAST-CANCER RISK ASSESSMENT - USE OF COMPLETE PEDIGREE INFORMATION AND THE EFFECT OF MISSPECIFIED AGES AT DIAGNOSIS OF AFFECTED RELATIVES

Citation
S. Schmidt et al., BREAST-CANCER RISK ASSESSMENT - USE OF COMPLETE PEDIGREE INFORMATION AND THE EFFECT OF MISSPECIFIED AGES AT DIAGNOSIS OF AFFECTED RELATIVES, Human genetics, 102(3), 1998, pp. 348-356
Citations number
21
Categorie Soggetti
Genetics & Heredity
Journal title
ISSN journal
03406717
Volume
102
Issue
3
Year of publication
1998
Pages
348 - 356
Database
ISI
SICI code
0340-6717(1998)102:3<348:BRA-UO>2.0.ZU;2-M
Abstract
Reliable risk estimates for hereditary breast cancer are important for the genetic counseling of women who have one or more first- and/or se cond-degree relatives affected by the disease. If no mutation analysis of known high-penetrance breast cancer genes is performed, risk estim ation is often based on published reference tables. These tables expre ss a woman's age-specific risk of breast cancer as a function of the a ges at diagnosis of one or two affected relatives with different degre es of relationship to the counselee. However, unaffected relatives are not taken into account when these estimates are derived. We report he re the extent to which risk estimation is influenced by the number and ages of any unaffected relatives and by the exact genealogical relati onship between the proband and affected relative rather than merely th e degree. Additionally, we describe the sensitivity of risk estimates when ages at diagnosis of affected relatives are misspecified because of inaccurate information supplied by the counselee. We determined a p roband's probability of being a carrier of a highly penetrant breast c ancer susceptibility gene, such as BRCA1 or BRCA2, by likelihood calcu lations that take into account information from the entire pedigree. T his genetic risk was used to estimate a phenotypic lifetime breast can cer risk, which was compared with the risks derived from the published reference tables. We demonstrate numerically that the tabulated value s tend to over-estimate the probands risk and that the extent of over- estimation depends greatly on the number and ages of unaffected relati ves. The validity of the relatives ages at diagnosis can affect risk p redictions considerably in small families with two or three affected r elatives. Furthermore, the magnitude of the estimated breast cancer ri sks depends upon the assumed genetic model and can therefore vary appr eciably when different penetrance estimates are used.