Risk stratification for endometrial cancer: independent and joint effects of polygenic risk score and body mass index in 129,829 UK Biobank participants.

ABSTRACT:

Background

Although obesity is a well-established risk factor for endometrial cancer, its relationship with genetic susceptibility in determining cancer risk remains unexplored. Current endometrial cancer risk prediction relies primarily on epidemiological factors, with limited consideration of genetic risk. We hypothesized that integrating polygenic risk score (PRS) information with established epidemiological factors could improve risk stratification and reveal whether genetic and lifestyle factors operate independently or jointly.

Methods

We generated a polygenic risk score for endometrial cancer in 129,829 unrelated female participants of European genetic ancestry (including 956 incident cases with endometrial cancer) in the UK Biobank cohort. We evaluated the prediction

SUBMITTER: Wang X 

PROVIDER: S-EPMC12888353 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature