Inherited genetic predisposition in breast cancer. A population-based perspective

Cancer. 1999 Dec 1;86(11 Suppl):2493-501. doi: 10.1002/(sici)1097-0142(19991201)86:11+<2493::aid-cncr6>3.0.co;2-z.

Abstract

Two classes of inherited susceptibility genes may be considered in the etiology of breast and other common cancers. First, genes have been identified that confer a high degree of breast cancer (BC) risk, usually associated with hereditary syndromes, but disease-associated germline variants in these genes are relatively rare in the general population. These include BRCA1, BRCA2, and TP53. The proportion of BC in the general population that can be explained by these genes is relatively small. Second, variant genotypes at other loci may confer a relatively smaller degree of cancer risk, but they are carried by a larger proportion of the general population. As a result, the proportion of BC that could be explained by these genes may be relatively large. To understand the genetic basis for BCs in the general population, both of these classes of genes may need to be considered. This paper presents an overview of genes thought to be involved in BC susceptibility. Genes that confer a high degree of risk are more likely to result in hereditary patterns of cancer that are amenable to identification by genetic epidemiologic methods using pedigree data. More common (e.g., nonhereditary) forms of BC may be optimally analyzed by molecular epidemiologic studies using case-case, case-control, or cohort designs. The use of an appropriate study design is crucial to the identification of genes with relatively small effects on BC risk. To understand the inherited factors that explain BC in the general population, consideration should be given to genes with different allele frequencies and magnitudes of effect, using appropriate analytical approaches. By understanding the complex interactions of these genes with one another and with exposures, improved risk assessment and potential for targeted cancer prevention strategies may be possible.

Publication types

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

MeSH terms

  • Breast Neoplasms / etiology
  • Breast Neoplasms / genetics*
  • Breast Neoplasms / prevention & control
  • Female
  • Gene Frequency
  • Genetic Predisposition to Disease*
  • Humans
  • Risk Assessment
  • Risk Factors