Prediction of disease risk is an essential part of preventative medicine, often guiding clinical
management. Risk prediction typically includes risk factors such as age, sex, family history of …

Ongoing controversy over the optimal approach to breast cancer screening has led to
discordant professional society recommendations, particularly in women age 40 to 49 years …

Abstract Polygenic Risk Scores (PRS) are a major component of accurate breast cancer risk
prediction and have the potential to improve screening and prevention strategies. PRS …

Background Independent validation is essential to justify use of models of breast cancer risk
prediction and inform decisions about prevention options and screening. Few independent …

Breast cancer is the most common cancer among women in the United States, with up to
30% of those diagnosed displaying a family history of breast cancer. To date, 18% of the …

Importance To date, few studies have examined the extent to which polygenic single-
nucleotide variation (SNV)(formerly single-nucleotide polymorphism) scores modify risk for …

Since their first appearance in the context of schizophrenia and bipolar disorder in 2009,
polygenic risk scores (PRSs) have been described for a large number of common complex …

Breast cancer risk assessment can inform the use of screening and prevention modalities.
We investigated the performance of the Breast Cancer Surveillance Consortium (BCSC) risk …

Importance Single-nucleotide polymorphisms (SNPs) have demonstrated an association
with breast cancer susceptibility, but there is limited evidence on how to incorporate them …

Polygenic factors are estimated to account for an additional 18% of the familial relative risk
of breast cancer, with those at the highest level of polygenic risk distribution having a least a …