Towards a more precise and individualized assessment of breast cancer risk.

ABSTRACT: Many clinically based models are available for breast cancer risk assessment; however, these models are not particularly useful at the individual level, despite being designed with that intent. There is, therefore, a significant need for improved, precise individualized risk assessment. In this Research Perspective, we highlight commonly used clinical risk assessment models and recent scientific advances to individualize risk assessment using precision biomarkers. Genome-wide association studies have identified >100 single nucleotide polymorphisms (SNPs) associated with breast cancer risk, and polygenic risk scores (PRS) have been developed by several groups using this information. The ability of a PRS to improve risk assessment is promising; however, validation in both genetically and eth

SUBMITTER: Wood ME 

PROVIDER: S-EPMC6402518 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature