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Integrating a Polygenic Risk Score into a clinical setting would impact risk predictions in familial breast cancer.

Authors :
Baliakas, Panagiotis
Munters, Arielle R.
Kämpe, Anders
Tesi, Bianca
Bondeson, Marie-Louise
Ladenvall, Claes
Eriksson, Daniel
Source :
Journal of Medical Genetics; Feb2024, Vol. 61 Issue 2, p150-154, 16p
Publication Year :
2024

Abstract

Background Low-impact genetic variants identified in population-based genetic studies are not routinely measured as part of clinical genetic testing in familial breast cancer (BC). We studied the consequences of integrating an established Polygenic Risk Score (PRS) (BCAC 313, PRS<subscript>313</subscript>) into clinical sequencing of women with familial BC in Sweden. Methods We developed an add-on sequencing panel to capture 313 risk variants in addition to the clinical screening of hereditary BC genes. Index patients with no pathogenic variant from 87 families, and 1000 population controls, were included in comparative PRS calculations. Including detailed family history, sequencing results and tumour pathology information, we used BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) V.6 to estimate contralateral and lifetime risks without and with PRS<subscript>313</subscript>. Results Women with BC but no pathogenic variants in hereditary BC genes have a higher PRS<subscript>313</subscript> compared with population controls (mean+0.78 SD, p<3e-9). Implementing PRS<subscript>313</subscript> in the clinical risk estimation before their BC diagnosis would have changed the recommended follow-up in 24%-45% of women. Conclusions Our results show the potential impact of incorporating PRS<subscript>313</subscript> directly in the clinical genomic investigation of women with familial BC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00222593
Volume :
61
Issue :
2
Database :
Complementary Index
Journal :
Journal of Medical Genetics
Publication Type :
Academic Journal
Accession number :
175660046
Full Text :
https://doi.org/10.1136/jmg-2023-109311