Genomic Risk Prediction for Breast Cancer in Older Women

Genomic Risk Prediction for Breast Cancer in Older Women

Genomic risk prediction models for breast cancer (BC) have been predominantly developed with data from women aged 40–69 years. Prospective studies of older women aged ≥70 years have been limited. We assessed the effect of a 313-variant polygenic risk score (PRS) for BC in 6339 older women aged ≥70 y...

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Bibliographic Details
Main Authors: Paul Lacaze, Andrew Bakshi, Moeen Riaz, Suzanne G. Orchard, Jane Tiller, Johannes T. Neumann, Prudence R. Carr, Amit D. Joshi, Yin Cao, Erica T. Warner, Alisa Manning, Tú Nguyen-Dumont, Melissa C. Southey, Roger L. Milne, Leslie Ford, Robert Sebra, Eric Schadt, Lucy Gately, Peter Gibbs, Bryony A. Thompson, Finlay A. Macrae, Paul James, Ingrid Winship, Catriona McLean, John R. Zalcberg, Robyn L. Woods, Andrew T. Chan, Anne M. Murray, John J. McNeil
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Cancers
Subjects:
genomics
breast cancer
risk prediction
polygenic risk score
germline
Online Access:https://www.mdpi.com/2072-6694/13/14/3533

Internet

https://www.mdpi.com/2072-6694/13/14/3533

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