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Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer

Breast cancer is the most prevalent malignancy among women worldwide and hereditary breast cancer (HBC) accounts for about 5–10% of the cases. Today, the most recurrent genes known are BRCA1 and BRCA2, accounting for around 25% of familial cases. Although thousands of loss-of-function variants in mo...

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Autores principales: Liu, Yaxuan, Helgadottir, Hafdis T., Kharaziha, Pedram, Choi, Jungmin, López-Giráldez, Francesc, Mane, Shrikant M., Höiom, Veronica, Juhlin, Carl Christofer, Larsson, Catharina, Bajalica-Lagercrantz, Svetlana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138793/
https://www.ncbi.nlm.nih.gov/pubmed/35625741
http://dx.doi.org/10.3390/biomedicines10051004
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author Liu, Yaxuan
Helgadottir, Hafdis T.
Kharaziha, Pedram
Choi, Jungmin
López-Giráldez, Francesc
Mane, Shrikant M.
Höiom, Veronica
Juhlin, Carl Christofer
Larsson, Catharina
Bajalica-Lagercrantz, Svetlana
author_facet Liu, Yaxuan
Helgadottir, Hafdis T.
Kharaziha, Pedram
Choi, Jungmin
López-Giráldez, Francesc
Mane, Shrikant M.
Höiom, Veronica
Juhlin, Carl Christofer
Larsson, Catharina
Bajalica-Lagercrantz, Svetlana
author_sort Liu, Yaxuan
collection PubMed
description Breast cancer is the most prevalent malignancy among women worldwide and hereditary breast cancer (HBC) accounts for about 5–10% of the cases. Today, the most recurrent genes known are BRCA1 and BRCA2, accounting for around 25% of familial cases. Although thousands of loss-of-function variants in more than twenty predisposing genes have been found, the majority of familial cases of HBC remain unexplained. The aim of this study was to identify new predisposing genes for HBC in three non-BRCA families with autosomal dominant inheritance pattern using whole-exome sequencing and functional prediction tools. No pathogenic variants in known hereditary cancer-related genes could explain the breast cancer susceptibility in these families. Among 2122 exonic variants with maximum minor allele frequency (MMAF) < 0.1%, between 17–35 variants with combined annotation-dependent depletion (CADD) > 20 segregated with disease in the three analyzed families. Selected candidate genes, i.e., UBASH3A, MYH13, UTP11L, and PAX7, were further evaluated using protein expression analysis but no alterations of cancer-related pathways were observed. In conclusion, identification of new high-risk cancer genes using whole-exome sequencing has been more challenging than initially anticipated, in spite of selected families with pronounced family history of breast cancer. A combination of low- and intermediate-genetic-risk variants may instead contribute the breast cancer susceptibility in these families.
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spelling pubmed-91387932022-05-28 Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer Liu, Yaxuan Helgadottir, Hafdis T. Kharaziha, Pedram Choi, Jungmin López-Giráldez, Francesc Mane, Shrikant M. Höiom, Veronica Juhlin, Carl Christofer Larsson, Catharina Bajalica-Lagercrantz, Svetlana Biomedicines Article Breast cancer is the most prevalent malignancy among women worldwide and hereditary breast cancer (HBC) accounts for about 5–10% of the cases. Today, the most recurrent genes known are BRCA1 and BRCA2, accounting for around 25% of familial cases. Although thousands of loss-of-function variants in more than twenty predisposing genes have been found, the majority of familial cases of HBC remain unexplained. The aim of this study was to identify new predisposing genes for HBC in three non-BRCA families with autosomal dominant inheritance pattern using whole-exome sequencing and functional prediction tools. No pathogenic variants in known hereditary cancer-related genes could explain the breast cancer susceptibility in these families. Among 2122 exonic variants with maximum minor allele frequency (MMAF) < 0.1%, between 17–35 variants with combined annotation-dependent depletion (CADD) > 20 segregated with disease in the three analyzed families. Selected candidate genes, i.e., UBASH3A, MYH13, UTP11L, and PAX7, were further evaluated using protein expression analysis but no alterations of cancer-related pathways were observed. In conclusion, identification of new high-risk cancer genes using whole-exome sequencing has been more challenging than initially anticipated, in spite of selected families with pronounced family history of breast cancer. A combination of low- and intermediate-genetic-risk variants may instead contribute the breast cancer susceptibility in these families. MDPI 2022-04-26 /pmc/articles/PMC9138793/ /pubmed/35625741 http://dx.doi.org/10.3390/biomedicines10051004 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Yaxuan
Helgadottir, Hafdis T.
Kharaziha, Pedram
Choi, Jungmin
López-Giráldez, Francesc
Mane, Shrikant M.
Höiom, Veronica
Juhlin, Carl Christofer
Larsson, Catharina
Bajalica-Lagercrantz, Svetlana
Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer
title Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer
title_full Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer
title_fullStr Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer
title_full_unstemmed Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer
title_short Whole-Exome Sequencing of Germline Variants in Non-BRCA Families with Hereditary Breast Cancer
title_sort whole-exome sequencing of germline variants in non-brca families with hereditary breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138793/
https://www.ncbi.nlm.nih.gov/pubmed/35625741
http://dx.doi.org/10.3390/biomedicines10051004
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