Development and validation of polygenic risk scores for prediction of breast cancer and breast cancer subtypes in Chinese women.

ABSTRACT:

Background

Studies investigating breast cancer polygenic risk score (PRS) in Chinese women are scarce. The objectives of this study were to develop and validate PRSs that could be used to stratify risk for overall and subtype-specific breast cancer in Chinese women, and to evaluate the performance of a newly proposed Artificial Neural Network (ANN) based approach for PRS construction.

Methods

The PRSs were constructed using the dataset from a genome-wide association study (GWAS) and validated in an independent case-control study. Three approaches, including repeated logistic regression (RLR), logistic ridge regression (LRR) and ANN based approach, were used to build the PRSs for overall and subtype-specific breast cancer based on 24 selected single nucleotide polymorphisms (

SUBMITTER: Hou C 

PROVIDER: S-EPMC8991589 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature