Prospective Evaluation of the Addition of Polygenic Risk Scores to Breast Cancer Risk Models.

ABSTRACT:

Background

The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm and the International Breast Cancer Intervention Study breast cancer risk models are used to provide advice on screening intervals and chemoprevention. We evaluated the performance of these models, which now incorporate polygenic risk scores (PRSs), using a prospective cohort study.

Methods

We used a case-cohort design, involving women in the Melbourne Collaborative Cohort Study aged 50-75 years when surveyed in 2003-2007, of whom 408 had a first primary breast cancer diagnosed within 10 years (cases), and 2783 were from the subcohort. Ten-year risks were calculated based on lifestyle factors, family history data, and a 313-variant PRS. Discrimination was assessed using a C-stati

SUBMITTER: Li SX 

PROVIDER: S-EPMC8099999 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature