Evaluating the prognostic performance of a polygenic risk score for breast cancer risk stratification.

ABSTRACT:

Background

Polygenic risk scores (PRS) could potentially improve breast cancer screening recommendations. Before a PRS can be considered for implementation, it needs rigorous evaluation, using performance measures that can inform about its future clinical value.

Objectives

To evaluate the prognostic performance of a regression model with a previously developed, prevalence-based PRS and age as predictors for breast cancer incidence in women from the Estonian biobank (EstBB) cohort; to compare it to the performance of a model including age only.

Methods

We analyzed data on 30,312 women from the EstBB cohort. They entered the cohort between 2002 and 2011, were between 20 and 89 years, without a history of breast cancer, and with full 5-year follow-up by 2015. We examined

SUBMITTER: Olsen M 

PROVIDER: S-EPMC8691010 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature