Genetic and Nongenetic Risk Factors for Breast Cancer Risk Estimation.

ABSTRACT:

Importance

Most breast cancers in Africa are diagnosed at advanced stages. Improved risk prediction tools to optimize screening and earlier diagnosis are urgently needed.

Objective

To build a comprehensive breast cancer risk estimation model by integrating a polygenic risk score (PRS), pathogenic variants (PVs) in high- or moderate-penetrance genes, and a questionnaire-based risk calculator.

Design, setting, and participants

This multicenter case-control study initially enrolled women in Nigeria in 1998 and expanded to Cameroon and Uganda in 2011; enrollment ended in 2018. Women with breast cancer (hereafter cases) were enrolled through hospital oncology units, whereas women without breast cancer (hereafter controls) were recruited from other outpatient clinics and th

SUBMITTER: Guo W 

PROVIDER: S-EPMC12008756 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature