On the use of familial aggregation in population-based case probands for calculating penetrance Journal Article


Author: Begg, C. B.
Article Title: On the use of familial aggregation in population-based case probands for calculating penetrance
Abstract: Background: Estimating the lifetime risk associated with (i.e., the penetrance of) genetic abnormalities that predispose individuals to cancer is important for genetic counseling. (Penetrance may be estimated from the degree of familial aggregation of cancer, that is, the extent to which cancers cluster in families.) Early penetrance studies of BRCA1 and BRCA2 mutations used high-risk families with multiple cases of breast cancer, a study design that led to very high penetrance estimates. However, such studies were subject to potential ascertainment biases. To offset such biases, recent studies have used data from family members of probands ascertained from population-based incident cases of cancer. The use of case probands is, however, also subject to bias because all risk factors are over-represented in case patients. To draw attention to this problem, literature on the penetrance of breast cancer in BRCA1 and BRCA2 carriers is reviewed. Methods: A theory is presented to show that the use of case probands is itself biased, leading to inflated penetrance estimates. The strategy is unbiased only if all carriers share an identical risk. Any unexplained heterogeneity of risk caused by unknown genetic or shared environmental factors within families leads to an inflated estimate of penetrance. Results: Eight published studies using population-based methods are reviewed. All but one of the family-based studies used case probands. Conclusions: Penetrance estimates from case proband studies must be inflated if other factors influence breast cancer risk in addition to the specific genetic abnormality. Thus, women with such genetic abnormalities and a strong family history of breast cancer are likely to possess a much higher risk for breast cancer than women with such abnormalities but without a strong family history. Methodologic techniques to improve the prediction of cancer risk are needed.
Keywords: adult; controlled study; aged; gene mutation; mutation; cancer risk; cancer patient; methodology; cancer susceptibility; heredity; genetic predisposition to disease; breast cancer; prevalence; risk factors; breast neoplasms; brca1 protein; brca2 protein; heterozygote; prediction; risk factor; risk assessment; population research; genes, brca1; genes, brca2; family history; medical literature; high risk population; genetic disorder; bias (epidemiology); environmental factor; theory; genetic heterogeneity; penetrance; family study; humans; human; female; priority journal; article
Journal Title: JNCI: Journal of the National Cancer Institute
Volume: 94
Issue: 16
ISSN: 0027-8874
Publisher: Oxford University Press  
Date Published: 2002-08-21
Start Page: 1221
End Page: 1226
Language: English
PUBMED: 12189225
PROVIDER: scopus
DOI: 10.1093/jnci/94.16.1221
DOI/URL:
Notes: Export Date: 14 November 2014 -- Source: Scopus
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  1. Colin B Begg
    306 Begg