A polygenic-score-based approach for identification of gene-drug interactions stratifying breast cancer risk.

ABSTRACT: An individual's genetics can dramatically influence breast cancer (BC) risk. Although clinical measures for prevention do exist, non-invasive personalized measures for reducing BC risk are limited. Commonly used medications are a promising set of modifiable factors, but no previous study has explored whether a range of widely taken approved drugs modulate BC genetics. In this study, we describe a quantitative framework for exploring the interaction between the genetic susceptibility of BC and medication usage among UK Biobank women. We computed BC polygenic scores (PGSs) that summarize BC genetic risk and find that the PGS explains nearly three-times greater variation in disease risk within corticosteroid users compared to non-users. We map 35 genes significantly interacting with corticost

SUBMITTER: Marderstein AR 

PROVIDER: S-EPMC8456164 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature