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Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network

BACKGROUND: Unbiased estimates of penetrance are challenging but critically important to make informed choices about strategies for risk management through increased surveillance and risk-reducing interventions. METHODS: We studied the penetrance and clinical outcomes of 7 breast cancer susceptibili...

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Autores principales: Fan, Xiao, Wynn, Julia, Shang, Ning, Liu, Cong, Fedotov, Alexander, Hallquist, Miranda L G, Buchanan, Adam H, Williams, Marc S, Smith, Maureen E, Hoell, Christin, Rasmussen-Torvik, Laura J, Peterson, Josh F, Wiesner, Georgia L, Murad, Andrea M, Jarvik, Gail P, Gordon, Adam S, Rosenthal, Elisabeth A, Stanaway, Ian B, Crosslin, David R, Larson, Eric B, Leppig, Kathleen A, Henrikson, Nora B, Williams, Janet L, Li, Rongling, Hebbring, Scott, Weng, Chunhua, Shen, Yufeng, Crew, Katherine D, Chung, Wendy K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346699/
https://www.ncbi.nlm.nih.gov/pubmed/34377931
http://dx.doi.org/10.1093/jncics/pkab044
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author Fan, Xiao
Wynn, Julia
Shang, Ning
Liu, Cong
Fedotov, Alexander
Hallquist, Miranda L G
Buchanan, Adam H
Williams, Marc S
Smith, Maureen E
Hoell, Christin
Rasmussen-Torvik, Laura J
Peterson, Josh F
Wiesner, Georgia L
Murad, Andrea M
Jarvik, Gail P
Gordon, Adam S
Rosenthal, Elisabeth A
Stanaway, Ian B
Crosslin, David R
Larson, Eric B
Leppig, Kathleen A
Henrikson, Nora B
Williams, Janet L
Li, Rongling
Hebbring, Scott
Weng, Chunhua
Shen, Yufeng
Crew, Katherine D
Chung, Wendy K
author_facet Fan, Xiao
Wynn, Julia
Shang, Ning
Liu, Cong
Fedotov, Alexander
Hallquist, Miranda L G
Buchanan, Adam H
Williams, Marc S
Smith, Maureen E
Hoell, Christin
Rasmussen-Torvik, Laura J
Peterson, Josh F
Wiesner, Georgia L
Murad, Andrea M
Jarvik, Gail P
Gordon, Adam S
Rosenthal, Elisabeth A
Stanaway, Ian B
Crosslin, David R
Larson, Eric B
Leppig, Kathleen A
Henrikson, Nora B
Williams, Janet L
Li, Rongling
Hebbring, Scott
Weng, Chunhua
Shen, Yufeng
Crew, Katherine D
Chung, Wendy K
author_sort Fan, Xiao
collection PubMed
description BACKGROUND: Unbiased estimates of penetrance are challenging but critically important to make informed choices about strategies for risk management through increased surveillance and risk-reducing interventions. METHODS: We studied the penetrance and clinical outcomes of 7 breast cancer susceptibility genes (BRCA1, BRCA2, TP53, CHEK2, ATM, PALB2, and PTEN) in almost 13 458 participants unselected for personal or family history of breast cancer. We identified 242 female participants with pathogenic or likely pathogenic variants in 1 of the 7 genes for penetrance analyses, and 147 women did not previously know their genetic results. RESULTS: Out of the 147 women, 32 women were diagnosed with breast cancer at an average age of 52.8 years. Estimated penetrance by age 60 years ranged from 17.8% to 43.8%, depending on the gene. In clinical-impact analysis, 42.3% (95% confidence interval = 31.3% to 53.3%) of women had taken actions related to their genetic results, and 2 new breast cancer cases were identified within the first 12 months after genetic results disclosure. CONCLUSIONS: Our study provides population-based penetrance estimates for the understudied genes CHEK2, ATM, and PALB2 and highlights the importance of using unselected populations for penetrance studies. It also demonstrates the potential clinical impact of genetic testing to improve health care through early diagnosis and preventative screening.
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spelling pubmed-83466992021-08-09 Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network Fan, Xiao Wynn, Julia Shang, Ning Liu, Cong Fedotov, Alexander Hallquist, Miranda L G Buchanan, Adam H Williams, Marc S Smith, Maureen E Hoell, Christin Rasmussen-Torvik, Laura J Peterson, Josh F Wiesner, Georgia L Murad, Andrea M Jarvik, Gail P Gordon, Adam S Rosenthal, Elisabeth A Stanaway, Ian B Crosslin, David R Larson, Eric B Leppig, Kathleen A Henrikson, Nora B Williams, Janet L Li, Rongling Hebbring, Scott Weng, Chunhua Shen, Yufeng Crew, Katherine D Chung, Wendy K JNCI Cancer Spectr Article BACKGROUND: Unbiased estimates of penetrance are challenging but critically important to make informed choices about strategies for risk management through increased surveillance and risk-reducing interventions. METHODS: We studied the penetrance and clinical outcomes of 7 breast cancer susceptibility genes (BRCA1, BRCA2, TP53, CHEK2, ATM, PALB2, and PTEN) in almost 13 458 participants unselected for personal or family history of breast cancer. We identified 242 female participants with pathogenic or likely pathogenic variants in 1 of the 7 genes for penetrance analyses, and 147 women did not previously know their genetic results. RESULTS: Out of the 147 women, 32 women were diagnosed with breast cancer at an average age of 52.8 years. Estimated penetrance by age 60 years ranged from 17.8% to 43.8%, depending on the gene. In clinical-impact analysis, 42.3% (95% confidence interval = 31.3% to 53.3%) of women had taken actions related to their genetic results, and 2 new breast cancer cases were identified within the first 12 months after genetic results disclosure. CONCLUSIONS: Our study provides population-based penetrance estimates for the understudied genes CHEK2, ATM, and PALB2 and highlights the importance of using unselected populations for penetrance studies. It also demonstrates the potential clinical impact of genetic testing to improve health care through early diagnosis and preventative screening. Oxford University Press 2021-05-08 /pmc/articles/PMC8346699/ /pubmed/34377931 http://dx.doi.org/10.1093/jncics/pkab044 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Article
Fan, Xiao
Wynn, Julia
Shang, Ning
Liu, Cong
Fedotov, Alexander
Hallquist, Miranda L G
Buchanan, Adam H
Williams, Marc S
Smith, Maureen E
Hoell, Christin
Rasmussen-Torvik, Laura J
Peterson, Josh F
Wiesner, Georgia L
Murad, Andrea M
Jarvik, Gail P
Gordon, Adam S
Rosenthal, Elisabeth A
Stanaway, Ian B
Crosslin, David R
Larson, Eric B
Leppig, Kathleen A
Henrikson, Nora B
Williams, Janet L
Li, Rongling
Hebbring, Scott
Weng, Chunhua
Shen, Yufeng
Crew, Katherine D
Chung, Wendy K
Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network
title Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network
title_full Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network
title_fullStr Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network
title_full_unstemmed Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network
title_short Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network
title_sort penetrance of breast cancer susceptibility genes from the emerge iii network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346699/
https://www.ncbi.nlm.nih.gov/pubmed/34377931
http://dx.doi.org/10.1093/jncics/pkab044
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