Prediction of breast cancer risk by genetic risk factors, overall and by hormone receptor status.

ABSTRACT:

Objective

There is increasing interest in adding common genetic variants identified through genome wide association studies (GWAS) to breast cancer risk prediction models. First results from such models showed modest benefits in terms of risk discrimination. Heterogeneity of breast cancer as defined by hormone-receptor status has not been considered in this context. In this study we investigated the predictive capacity of 32 GWAS-detected common variants for breast cancer risk, alone and in combination with classical risk factors, and for tumours with different hormone receptor status.

Material and methods

Within the Breast and Prostate Cancer Cohort Consortium, we analysed 6009 invasive breast cancer cases and 7827 matched controls of European ancestry, with data on classic

SUBMITTER: Husing A 

PROVIDER: S-EPMC3793888 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature