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Disease Spectrum of Breast Cancer Susceptibility Genes
BACKGROUND: Pathogenic variants in cancer susceptibility genes can increase the risk of a spectrum of diseases, which clinicians must manage for their patients. We evaluated the disease spectrum of breast cancer susceptibility genes (BCSGs) with the aim of developing a comprehensive resource of gene...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093501/ https://www.ncbi.nlm.nih.gov/pubmed/33959510 http://dx.doi.org/10.3389/fonc.2021.663419 |
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author | Wang, Jin Singh, Preeti Yin, Kanhua Zhou, Jingan Bao, Yujia Wu, Menghua Pathak, Kush McKinley, Sophia K. Braun, Danielle Hughes, Kevin S. |
author_facet | Wang, Jin Singh, Preeti Yin, Kanhua Zhou, Jingan Bao, Yujia Wu, Menghua Pathak, Kush McKinley, Sophia K. Braun, Danielle Hughes, Kevin S. |
author_sort | Wang, Jin |
collection | PubMed |
description | BACKGROUND: Pathogenic variants in cancer susceptibility genes can increase the risk of a spectrum of diseases, which clinicians must manage for their patients. We evaluated the disease spectrum of breast cancer susceptibility genes (BCSGs) with the aim of developing a comprehensive resource of gene-disease associations for clinicians. METHODS: Twelve genes (ATM, BARD1, BRCA1, BRCA2, CDH1, CHEK2, NF1, PALB2, PTEN, RECQL, STK11, and TP53), all of which have been conclusively established as BCSGs by the Clinical Genome Resource (ClinGen) and/or the NCCN guidelines, were investigated. The potential gene-disease associations for these 12 genes were verified and evaluated based on six genetic resources (ClinGen, NCCN, OMIM, Genetics Home Reference, GeneCards, and Gene-NCBI) and an additional literature review using a semiautomated natural language processing (NLP) abstract classification procedure. RESULTS: Forty-two diseases were found to be associated with one or more of the 12 BCSGs for a total of 86 gene-disease associations, of which 90% (78/86) were verified by ClinGen and/or NCCN. Four gene-disease associations could not be verified by either ClinGen or NCCN but were verified by at least three of the other four genetic resources. Four gene-disease associations were verified by the NLP procedure alone. CONCLUSION: This study is unique in that it systematically investigates the reported disease spectrum of BCSGs by surveying multiple genetic resources and the literature with the aim of developing a single consolidated, comprehensive resource for clinicians. This innovative approach provides a general guide for evaluating gene-disease associations for BCSGs, potentially improving the clinical management of at-risk individuals. |
format | Online Article Text |
id | pubmed-8093501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80935012021-05-05 Disease Spectrum of Breast Cancer Susceptibility Genes Wang, Jin Singh, Preeti Yin, Kanhua Zhou, Jingan Bao, Yujia Wu, Menghua Pathak, Kush McKinley, Sophia K. Braun, Danielle Hughes, Kevin S. Front Oncol Oncology BACKGROUND: Pathogenic variants in cancer susceptibility genes can increase the risk of a spectrum of diseases, which clinicians must manage for their patients. We evaluated the disease spectrum of breast cancer susceptibility genes (BCSGs) with the aim of developing a comprehensive resource of gene-disease associations for clinicians. METHODS: Twelve genes (ATM, BARD1, BRCA1, BRCA2, CDH1, CHEK2, NF1, PALB2, PTEN, RECQL, STK11, and TP53), all of which have been conclusively established as BCSGs by the Clinical Genome Resource (ClinGen) and/or the NCCN guidelines, were investigated. The potential gene-disease associations for these 12 genes were verified and evaluated based on six genetic resources (ClinGen, NCCN, OMIM, Genetics Home Reference, GeneCards, and Gene-NCBI) and an additional literature review using a semiautomated natural language processing (NLP) abstract classification procedure. RESULTS: Forty-two diseases were found to be associated with one or more of the 12 BCSGs for a total of 86 gene-disease associations, of which 90% (78/86) were verified by ClinGen and/or NCCN. Four gene-disease associations could not be verified by either ClinGen or NCCN but were verified by at least three of the other four genetic resources. Four gene-disease associations were verified by the NLP procedure alone. CONCLUSION: This study is unique in that it systematically investigates the reported disease spectrum of BCSGs by surveying multiple genetic resources and the literature with the aim of developing a single consolidated, comprehensive resource for clinicians. This innovative approach provides a general guide for evaluating gene-disease associations for BCSGs, potentially improving the clinical management of at-risk individuals. Frontiers Media S.A. 2021-04-20 /pmc/articles/PMC8093501/ /pubmed/33959510 http://dx.doi.org/10.3389/fonc.2021.663419 Text en Copyright © 2021 Wang, Singh, Yin, Zhou, Bao, Wu, Pathak, McKinley, Braun and Hughes https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Wang, Jin Singh, Preeti Yin, Kanhua Zhou, Jingan Bao, Yujia Wu, Menghua Pathak, Kush McKinley, Sophia K. Braun, Danielle Hughes, Kevin S. Disease Spectrum of Breast Cancer Susceptibility Genes |
title | Disease Spectrum of Breast Cancer Susceptibility Genes |
title_full | Disease Spectrum of Breast Cancer Susceptibility Genes |
title_fullStr | Disease Spectrum of Breast Cancer Susceptibility Genes |
title_full_unstemmed | Disease Spectrum of Breast Cancer Susceptibility Genes |
title_short | Disease Spectrum of Breast Cancer Susceptibility Genes |
title_sort | disease spectrum of breast cancer susceptibility genes |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093501/ https://www.ncbi.nlm.nih.gov/pubmed/33959510 http://dx.doi.org/10.3389/fonc.2021.663419 |
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