Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement.

ABSTRACT:

Introduction

Over the last decade several breast cancer risk alleles have been identified which has led to an increased interest in individualised risk prediction for clinical purposes.

Methods

We investigate the performance of an up-to-date 18 breast cancer risk single-nucleotide polymorphisms (SNPs), together with mammographic percentage density (PD), body mass index (BMI) and clinical risk factors in predicting absolute risk of breast cancer, empirically, in a well characterised Swedish case-control study of postmenopausal women. We examined the efficiency of various prediction models at a population level for individualised screening by extending a recently proposed analytical approach for estimating number of cases captured.

Results

The performance of a risk pred

SUBMITTER: Darabi H 

PROVIDER: S-EPMC3496143 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature