Performance of common genetic variants in breast-cancer risk models.

ABSTRACT:

Background

Genomewide association studies have identified multiple genetic variants associated with breast cancer. The extent to which these variants add to existing risk-assessment models is unknown.

Methods

We used information on traditional risk factors and 10 common genetic variants associated with breast cancer in 5590 case subjects and 5998 control subjects, 50 to 79 years of age, from four U.S. cohort studies and one case-control study from Poland to fit models of the absolute risk of breast cancer. With the use of receiver-operating-characteristic curve analysis, we calculated the area under the curve (AUC) as a measure of discrimination. By definition, random classification of case and control subjects provides an AUC of 50%; perfect classification provides an AUC o

SUBMITTER: Wacholder S 

PROVIDER: S-EPMC2921181 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature