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

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 unsele...

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Autores principales: Southey, Melissa C., Dowty, James G., Riaz, Moeen, Steen, Jason A., Renault, Anne-Laure, Tucker, Katherine, Kirk, Judy, James, Paul, Winship, Ingrid, Pachter, Nicholas, Poplawski, Nicola, Grist, Scott, Park, Daniel J., Pope, Bernard J., Mahmood, Khalid, Hammet, Fleur, Mahmoodi, Maryam, Tsimiklis, Helen, Theys, Derrick, Rewse, Amanda, Willis, Amanda, Morrow, April, Speechly, Catherine, Harris, Rebecca, Sebra, Robert, Schadt, Eric, Lacaze, Paul, McNeil, John J., Giles, Graham G., Milne, Roger L., Hopper, John L., Nguyen-Dumont, Tú
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660783/
https://www.ncbi.nlm.nih.gov/pubmed/34887416
http://dx.doi.org/10.1038/s41523-021-00360-3
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author Southey, Melissa C.
Dowty, James G.
Riaz, Moeen
Steen, Jason A.
Renault, Anne-Laure
Tucker, Katherine
Kirk, Judy
James, Paul
Winship, Ingrid
Pachter, Nicholas
Poplawski, Nicola
Grist, Scott
Park, Daniel J.
Pope, Bernard J.
Mahmood, Khalid
Hammet, Fleur
Mahmoodi, Maryam
Tsimiklis, Helen
Theys, Derrick
Rewse, Amanda
Willis, Amanda
Morrow, April
Speechly, Catherine
Harris, Rebecca
Sebra, Robert
Schadt, Eric
Lacaze, Paul
McNeil, John J.
Giles, Graham G.
Milne, Roger L.
Hopper, John L.
Nguyen-Dumont, Tú
author_facet Southey, Melissa C.
Dowty, James G.
Riaz, Moeen
Steen, Jason A.
Renault, Anne-Laure
Tucker, Katherine
Kirk, Judy
James, Paul
Winship, Ingrid
Pachter, Nicholas
Poplawski, Nicola
Grist, Scott
Park, Daniel J.
Pope, Bernard J.
Mahmood, Khalid
Hammet, Fleur
Mahmoodi, Maryam
Tsimiklis, Helen
Theys, Derrick
Rewse, Amanda
Willis, Amanda
Morrow, April
Speechly, Catherine
Harris, Rebecca
Sebra, Robert
Schadt, Eric
Lacaze, Paul
McNeil, John J.
Giles, Graham G.
Milne, Roger L.
Hopper, John L.
Nguyen-Dumont, Tú
author_sort Southey, Melissa C.
collection PubMed
description 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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spelling pubmed-86607832021-12-27 Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing Southey, Melissa C. Dowty, James G. Riaz, Moeen Steen, Jason A. Renault, Anne-Laure Tucker, Katherine Kirk, Judy James, Paul Winship, Ingrid Pachter, Nicholas Poplawski, Nicola Grist, Scott Park, Daniel J. Pope, Bernard J. Mahmood, Khalid Hammet, Fleur Mahmoodi, Maryam Tsimiklis, Helen Theys, Derrick Rewse, Amanda Willis, Amanda Morrow, April Speechly, Catherine Harris, Rebecca Sebra, Robert Schadt, Eric Lacaze, Paul McNeil, John J. Giles, Graham G. Milne, Roger L. Hopper, John L. Nguyen-Dumont, Tú NPJ Breast Cancer Article 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. Nature Publishing Group UK 2021-12-09 /pmc/articles/PMC8660783/ /pubmed/34887416 http://dx.doi.org/10.1038/s41523-021-00360-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Southey, Melissa C.
Dowty, James G.
Riaz, Moeen
Steen, Jason A.
Renault, Anne-Laure
Tucker, Katherine
Kirk, Judy
James, Paul
Winship, Ingrid
Pachter, Nicholas
Poplawski, Nicola
Grist, Scott
Park, Daniel J.
Pope, Bernard J.
Mahmood, Khalid
Hammet, Fleur
Mahmoodi, Maryam
Tsimiklis, Helen
Theys, Derrick
Rewse, Amanda
Willis, Amanda
Morrow, April
Speechly, Catherine
Harris, Rebecca
Sebra, Robert
Schadt, Eric
Lacaze, Paul
McNeil, John J.
Giles, Graham G.
Milne, Roger L.
Hopper, John L.
Nguyen-Dumont, Tú
Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
title Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
title_full Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
title_fullStr Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
title_full_unstemmed Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
title_short Population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
title_sort population-based estimates of breast cancer risk for carriers of pathogenic variants identified by gene-panel testing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660783/
https://www.ncbi.nlm.nih.gov/pubmed/34887416
http://dx.doi.org/10.1038/s41523-021-00360-3
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