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
CONCLUSION: BC risk prediction models and SNPs panels should not be automatically used in clinical practice in different populations without prior population-based validation. In our population the addition of an 18SNPs PRS to questionnaire-based risk factors in the Tyrer-Cuzick algorithm in general did not improve BC risk stratification, however, some improvements were observed at higher BC risk scores and could be valuable in distinguishing women at intermediate and high risk of BC.PMID:37857130 | DOI:10.1016/j.breast.2023.103590
Source: Breast - Category: Cancer & Oncology Authors: Tja ša Oblak Petra Škerl Benjamin J Narang Rok Blagus Mateja Krajc Srdjan Novakovi ć Janez Žgajnar Source Type: research