4.6 Article

Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing

Journal

NPJ BREAST CANCER
Volume 7, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41523-021-00360-3

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Funding

  1. U.S. National Institute of Health [RO1CA159868]
  2. National Health and Medical Research Council
  3. New South Wales Cancer Council
  4. Victorian Health Promotion Foundation
  5. Victorian Breast Cancer Research Consortium
  6. Cancer Australia
  7. National Breast Cancer Foundation
  8. U.S. National Cancer Institute [NT-15-016, UM1 CA164920]
  9. National Breast Cancer Foundation (Australia) [ECF-17-001]
  10. Victorian Health and Medical Research Fellowship
  11. National Health and Medical Research Council (NMHRC, Australia) [APP1155163]
  12. NHMRC [APP1074383]
  13. National Breast Cancer Foundation (BRA-STRAP) [NT-15-016]
  14. NHMRC European Union Collaborative Research Grant [APP1101400]
  15. Monash University, Melbourne, Australia

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Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing are urgently required. Our findings provide a population-based perspective to gene-panel testing for breast cancer predisposition and opportunities to improve predictors for identifying women who carry pathogenic variants in breast cancer predisposition genes.
Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing are urgently required. Most prior research has been based on women selected for high-risk features and more data is needed to make inference about breast cancer risk for women unselected for family history, an important consideration of population screening. We tested 1464 women diagnosed with breast cancer and 862 age-matched controls participating in the Australian Breast Cancer Family Study (ABCFS), and 6549 healthy, older Australian women enroled in the ASPirin in Reducing Events in the Elderly (ASPREE) study for rare germline variants using a 24-gene-panel. Odds ratios (ORs) were estimated using unconditional logistic regression adjusted for age and other potential confounders. We identified pathogenic variants in 11.1% of the ABCFS cases, 3.7% of the ABCFS controls and 2.2% of the ASPREE (control) participants. The estimated breast cancer OR [95% confidence interval] was 5.3 [2.1-16.2] for BRCA1, 4.0 [1.9-9.1] for BRCA2, 3.4 [1.4-8.4] for ATM and 4.3 [1.0-17.0] for PALB2. Our findings provide a population-based perspective to gene-panel testing for breast cancer predisposition and opportunities to improve predictors for identifying women who carry pathogenic variants in breast cancer predisposition genes.

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