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Article

Breast cancer risk prediction using Tyrer-Cuzick algorithm with an 18-SNPs polygenic risk score in a European population with below-average breast cancer incidence.

Breast (Edinburgh, Scotland) - 1 Dec 2023

Oblak Tjaša, Škerl Petra, Narang Benjamin J, Blagus Rok, Krajc Mateja, Novaković Srdjan, Žgajnar Janez

Abstract excerpt

GOALS: To determine whether an 18 single nucleotide polymorphisms (SNPs) polygenic risk score (PRS18) improves breast cancer (BC) risk prediction for women at above-average risk of BC, aged 40-49, in a Central European population with BC incidence below EU average. METHODS: 502 women aged 40-49 years at the time of BC diagnosis completed a questionnaire on BC risk factors (as per Tyrer-Cuzick algorithm) with data...

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Identifiers

PMID: 37857130
DOI: 10.1016/j.breast.2023.103590
PMCID: PMC10587756

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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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