Polygenic prediction of breast cancer: comparison of genetic predictors and implications for risk stratification.

ABSTRACT:

Background

Published genetic risk scores for breast cancer (BC) so far have been based on a relatively small number of markers and are not necessarily using the full potential of large-scale Genome-Wide Association Studies. This study aimed to identify an efficient polygenic predictor for BC based on best available evidence and to assess its potential for personalized risk prediction and screening strategies.

Methods

Four different genetic risk scores (two already published and two newly developed) and their combinations (metaGRS) were compared in the subsets of two population-based biobank cohorts: the UK Biobank (UKBB, 3157 BC cases, 43,827 controls) and Estonian Biobank (EstBB, 317 prevalent and 308 incident BC cases in 32,557 women). In addition, correlations between dif

SUBMITTER: Lall K 

PROVIDER: S-EPMC6558751 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature