Polygenic risk scores for prediction of breast cancer risk in Asian populations.

ABSTRACT:

Purpose

Non-European populations are under-represented in genetics studies, hindering clinical implementation of breast cancer polygenic risk scores (PRSs). We aimed to develop PRSs using the largest available studies of Asian ancestry and to assess the transferability of PRS across ethnic subgroups.

Methods

The development data set comprised 138,309 women from 17 case-control studies. PRSs were generated using a clumping and thresholding method, lasso penalized regression, an Empirical Bayes approach, a Bayesian polygenic prediction approach, or linear combinations of multiple PRSs. These PRSs were evaluated in 89,898 women from 3 prospective studies (1592 incident cases).

Results

The best performing PRS (genome-wide set of single-nucleotide variations [formerly sing

SUBMITTER: Ho WK 

PROVIDER: S-EPMC7612481 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature