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Article

Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening.

Journal of the National Cancer Institute - 1 Sept 2018

Gail Mitchell H, Pfeiffer Ruth M

Abstract excerpt

Background: Incorporation of polygenic risk scores and mammographic density into models to predict breast cancer incidence can increase discriminatory accuracy (area under the receiver operating characteristic curve [AUC]) from 0.6 for models based only on epidemiologic factors to 0.7. It is timely to assess what impact these improvements will have on individual counseling and on public health prevention and...

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Identifiers

PMID: 29490057
DOI: 10.1093/jnci/djy013
PMCID: PMC6136930

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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