Multi-Polygenic Index Approach for Breast Cancer Prediction

Importance

The risk of developing breast cancer haunts not only females but everyone cares them. Early detection helps saving lives and improving quality of life. Identifying risks for breast cancer is able to generate better detection accuracy and may deepen the understanding of this disease.

Objective

The key idea is to investigate the eectiveness of multi-PGIs approach in breast cancer predicting and examine the dierence with single PGI approach.

Data & Design

Samples are individuals with European ancestry from UK BioBank. The general design is to first perform GWAS, then construct PGIs and apply logistic regression models to predict the risk.

Findings

The major findings are: (i). multi-PGIs approach outperforms single-PGI approach in predicting breast cancer; (ii) the combined PGI is able to distinguish risk level more eectively than any single PGI.