Mammographic Breast Density and Common Genetic Variants in Breast Cancer Risk Prediction.

ABSTRACT:

Introduction

Known prediction models for breast cancer can potentially by improved by the addition of mammographic density and common genetic variants identified in genome-wide associations studies known to be associated with risk of the disease. We evaluated the benefit of including mammographic density and the cumulative effect of genetic variants in breast cancer risk prediction among women in a Singapore population.

Methods

We estimated the risk of breast cancer using a prospective cohort of 24,161 women aged 50 to 64 from Singapore with available mammograms and known risk factors for breast cancer who were recruited between 1994 and 1997. We measured mammographic density using the medio-lateral oblique views of both breasts. Each woman's genotype for 75 SNPs was simulat

SUBMITTER: Lee CP 

PROVIDER: S-EPMC4581713 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature