![]() ![]() Discriminatory accuracy of the models was compared using the area under the receiver operating characteristic curve (AUROC). The contributions of the PRS and variables in the BCSC model to breast cancer risk were tested using conditional logistic regression. The PRS was calculated using a Bayesian approach. We conducted a nested case-control study of 486 cases and 495 matched controls within a screening cohort. We investigated the performance of the Breast Cancer Surveillance Consortium (BCSC) risk model in combination with a polygenic risk score (PRS) comprised of 83 single nucleotide polymorphisms identified from genome wide association studies. NIHMS813331-supplement-10549_2016_3953_MOESM1_ESM.docx (4.1M) Abstract Purposeīreast cancer risk assessment can inform the use of screening and prevention modalities.
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June 2023
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