Journal article

Genomic Risk Prediction for Breast Cancer in Older Women

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, Tu Nguyen-Dumont, Melissa C Southey, Roger L Milne, Leslie Ford, Robert Sebra, Eric Schadt, Lucy Gately, Peter Gibbs, Bryony A Thompson Show all

CANCERS | MDPI | Published : 2021


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 years (mean age 75 years) enrolled into the ASPREE trial, a randomized double-blind placebo-controlled clinical trial investigating the effect of daily 100 mg aspirin on disability-free survival. We evaluated incident BC diagnoses over a median follow-up time of 4.7 years. A multivariable Cox regression model including conventional BC risk factors was applied to prospective data, and re-evaluated a..

View full abstract


Awarded by National Institute on Aging

Awarded by National Health and Medical Research Council of Australia

Awarded by NHMRC

Awarded by NCI

Awarded by National Heart Foundation

Funding Acknowledgements

This work was supported by an ASPREE Flagship cluster grant (including the Commonwealth Scientific and Industrial Research Organisation, Monash University, Menzies Research Institute, Australian National University, University of Melbourne); and grants (U01AG029824 and U19AG062682) from the National Institute on Aging and the National Cancer Institute at the National Institutes of Health, by grants (334047 and 1127060) from the National Health and Medical Research Council of Australia, and by Monash University and the Victorian Cancer Agency. AEC receives an NHMRC Career Development Fellowship (1147843). HPS holds an NHMRC MRFF Next Generation Clinical Researchers Program Practitioner Fellowship (APP1137127). ATC is supported by an NCI Outstanding Investigator Award (R35 CA253185) and is a Stuart and Suzanne Steele MGH Research Scholar. PL is supported by a National Heart Foundation Future Leader Fellowship (ID 102604).