Clinical implications of incorporating genetic and non-genetic risk factors in CanRisk-based breast cancer risk prediction.

doi:10.1016/j.breast.2023.103615

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Article

Clinical implications of incorporating genetic and non-genetic risk factors in CanRisk-based breast cancer risk prediction.

Breast (Edinburgh, Scotland) - 1 Feb 2024

Tüchler Anja, De Pauw Antoine, Ernst Corinna, Anota Amélie, Lakeman Inge M M, Dick Julia, van der Stoep Nienke, van Asperen Christi J, Maringa Monika, Herold Natalie, Blümcke Britta, Remy Robert, Westerhoff Anke, Stommel-Jenner Denise J, Frouin Eléonore, Richters Lisa, Golmard Lisa, Kütting Nadine, Colas Chrystelle, Wappenschmidt Barbara, Rhiem Kerstin, Devilee Peter, Stoppa-Lyonnet Dominique, Schmutzler Rita K, Hahnen Eric

Abstract excerpt

BACKGROUND: Breast cancer (BC) risk prediction models consider cancer family history (FH) and germline pathogenic variants (PVs) in risk genes. It remains elusive to what extent complementation with polygenic risk score (PRS) and non-genetic risk factor (NGRFs) data affects individual intensified breast surveillance (IBS) recommendations according to European guidelines. METHODS: For 425 cancer-free women with...

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Identifiers

PMID: 38061307
DOI: 10.1016/j.breast.2023.103615
PMCID: PMC10749276

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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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