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

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作者
Melissa C. Southey
James G. Dowty
Moeen Riaz
Jason A. Steen
Anne-Laure Renault
Katherine Tucker
Judy Kirk
Paul James
Ingrid Winship
Nicholas Pachter
Nicola Poplawski
Scott Grist
Daniel J. Park
Bernard J. Pope
Khalid Mahmood
Fleur Hammet
Maryam Mahmoodi
Helen Tsimiklis
Derrick Theys
Amanda Rewse
Amanda Willis
April Morrow
Catherine Speechly
Rebecca Harris
Robert Sebra
Eric Schadt
Paul Lacaze
John J. McNeil
Graham G. Giles
Roger L. Milne
John L. Hopper
Tú Nguyen-Dumont
机构
[1] Monash University,Precision Medicine, School of Clinical Sciences at Monash Health
[2] The University of Melbourne,Department of Clinical Pathology
[3] Cancer Council Victoria,Cancer Epidemiology Division
[4] The University of Melbourne,Centre for Epidemiology and Biostatistics
[5] Monash University,Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine
[6] Prince of Wales Hospital,Hereditary Cancer Centre, Nelune Comprehensive Cancer Centre
[7] Westmead Hospital,Familial Cancer Services
[8] Peter MacCallum Cancer Centre,Department of Medicine
[9] Royal Melbourne Hospital,Adult Genetics Unit
[10] The University of Melbourne,School of Medicine
[11] King Edward Memorial Hospital,SA Pathology
[12] Royal Adelaide Hospital,Melbourne Bioinformatics
[13] University of Adelaide,Department of Biochemistry and Molecular Biology
[14] Flinders Medical Centre,Department of Genetics and Genomic Sciences
[15] The University of Melbourne,undefined
[16] The University of Melbourne,undefined
[17] Icahn School of Medicine at Mount Sinai,undefined
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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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