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Abstract
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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; Dowty, James G 2 ; Riaz Moeen 3 ; Steen, Jason A 4 ; Renault Anne-Laure 4 ; Tucker, Katherine 5 ; Kirk, Judy 6 ; James, Paul 7
; Winship, Ingrid 8 ; Pachter, Nicholas 9 ; Poplawski Nicola 10
; Grist, Scott 11 ; Park, Daniel J 12 ; Pope, Bernard J 13
; Mahmood Khalid 14 ; Hammet Fleur 4 ; Mahmoodi Maryam 4 ; Tsimiklis Helen 4 ; Theys Derrick 4 ; Rewse Amanda 4 ; Willis, Amanda 5
; Morrow, April 5 ; Speechly Catherine 5
; Harris, Rebecca 6 ; Sebra, Robert 15 ; Schadt, Eric 15 ; Lacaze, Paul 3 ; McNeil, John J 3 ; Giles, Graham G 16
; Milne, Roger L 17 ; Hopper, John L 2 ; Nguyen-Dumont Tú 18 1 Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857); The University of Melbourne, Department of Clinical Pathology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, Australia (GRID:grid.3263.4) (ISNI:0000 0001 1482 3639)
2 The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
3 Monash University, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857)
4 Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857)
5 Prince of Wales Hospital, Hereditary Cancer Centre, Nelune Comprehensive Cancer Centre, Sydney, Australia (GRID:grid.415193.b)
6 Westmead Hospital, Familial Cancer Services, Westmead, Australia (GRID:grid.413252.3) (ISNI:0000 0001 0180 6477)
7 Peter MacCallum Cancer Centre, Melbourne, Australia (GRID:grid.1055.1) (ISNI:0000000403978434); Royal Melbourne Hospital, Melbourne, Australia (GRID:grid.416153.4) (ISNI:0000 0004 0624 1200); The University of Melbourne, Department of Medicine, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
8 Royal Melbourne Hospital, Melbourne, Australia (GRID:grid.416153.4) (ISNI:0000 0004 0624 1200); The University of Melbourne, Department of Medicine, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
9 King Edward Memorial Hospital, Perth, Australia (GRID:grid.415259.e) (ISNI:0000 0004 0625 8678)
10 Royal Adelaide Hospital, Adult Genetics Unit, Adelaide, Australia (GRID:grid.416075.1) (ISNI:0000 0004 0367 1221); University of Adelaide, School of Medicine, Adelaide, Australia (GRID:grid.1010.0) (ISNI:0000 0004 1936 7304)
11 Flinders Medical Centre, SA Pathology, Adelaide, Australia (GRID:grid.414925.f) (ISNI:0000 0000 9685 0624)
12 The University of Melbourne, Melbourne Bioinformatics, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); The University of Melbourne, Department of Biochemistry and Molecular Biology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
13 Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857); The University of Melbourne, Department of Clinical Pathology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); The University of Melbourne, Melbourne Bioinformatics, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
14 The University of Melbourne, Melbourne Bioinformatics, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
15 Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, New York, USA (GRID:grid.59734.3c) (ISNI:0000 0001 0670 2351)
16 Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857); Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, Australia (GRID:grid.3263.4) (ISNI:0000 0001 1482 3639)
17 Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857); Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, Australia (GRID:grid.3263.4) (ISNI:0000 0001 1482 3639); The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)
18 Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Melbourne, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857); The University of Melbourne, Department of Clinical Pathology, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X)




