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Whole-exome sequencing of BRCA-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility

BACKGROUND: For the majority of individuals with early-onset or familial breast cancer referred for genetic testing, the genetic basis of their familial breast cancer remains unexplained. To identify novel germline variants associated with breast cancer predisposition, whole-exome sequencing (WES) w...

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Autores principales: Lee, Ning Yuan, Hum, Melissa, Amali, Aseervatham Anusha, Lim, Wei Kiat, Wong, Matthew, Myint, Matthew Khine, Tay, Ru Jin, Ong, Pei-Yi, Samol, Jens, Lim, Chia Wei, Ang, Peter, Tan, Min-Han, Lee, Soo-Chin, Lee, Ann S. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685974/
https://www.ncbi.nlm.nih.gov/pubmed/36424660
http://dx.doi.org/10.1186/s40246-022-00435-7
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author Lee, Ning Yuan
Hum, Melissa
Amali, Aseervatham Anusha
Lim, Wei Kiat
Wong, Matthew
Myint, Matthew Khine
Tay, Ru Jin
Ong, Pei-Yi
Samol, Jens
Lim, Chia Wei
Ang, Peter
Tan, Min-Han
Lee, Soo-Chin
Lee, Ann S. G.
author_facet Lee, Ning Yuan
Hum, Melissa
Amali, Aseervatham Anusha
Lim, Wei Kiat
Wong, Matthew
Myint, Matthew Khine
Tay, Ru Jin
Ong, Pei-Yi
Samol, Jens
Lim, Chia Wei
Ang, Peter
Tan, Min-Han
Lee, Soo-Chin
Lee, Ann S. G.
author_sort Lee, Ning Yuan
collection PubMed
description BACKGROUND: For the majority of individuals with early-onset or familial breast cancer referred for genetic testing, the genetic basis of their familial breast cancer remains unexplained. To identify novel germline variants associated with breast cancer predisposition, whole-exome sequencing (WES) was performed. METHODS: WES on 290 BRCA1/BRCA2-negative Singaporeans with early-onset breast cancer and/or a family history of breast cancer was done. Case–control analysis against the East-Asian subpopulation (EAS) from the Genome Aggregation Database (gnomAD) identified variants enriched in cases, which were further selected by occurrence in cancer gene databases. Variants were further evaluated in repeated case–control analyses using a second case cohort from the database of Genotypes and Phenotypes (dbGaP) comprising 466 early-onset breast cancer patients from the United States, and a Singapore SG10K_Health control cohort. RESULTS: Forty-nine breast cancer-associated germline pathogenic variants in 37 genes were identified in Singapore cases versus gnomAD (EAS). Compared against SG10K_Health controls, 13 of 49 variants remain significantly enriched (False Discovery Rate (FDR)-adjusted p < 0.05). Comparing these 49 variants in dbGaP cases against gnomAD (EAS) and SG10K_Health controls revealed 23 concordant variants that were significantly enriched (FDR-adjusted p < 0.05). Fourteen variants were consistently enriched in breast cancer cases across all comparisons (FDR-adjusted p < 0.05). Seven variants in GPRIN2, NRG1, MYO5A, CLIP1, CUX1, GNAS and MGA were confirmed by Sanger sequencing. CONCLUSIONS: In conclusion, we have identified pathogenic variants in genes associated with breast cancer predisposition. Importantly, many of these variants were significant in a second case cohort from dbGaP, suggesting that the strategy of using case–control analysis to select variants could potentially be utilized for identifying variants associated with cancer susceptibility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00435-7.
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spelling pubmed-96859742022-11-25 Whole-exome sequencing of BRCA-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility Lee, Ning Yuan Hum, Melissa Amali, Aseervatham Anusha Lim, Wei Kiat Wong, Matthew Myint, Matthew Khine Tay, Ru Jin Ong, Pei-Yi Samol, Jens Lim, Chia Wei Ang, Peter Tan, Min-Han Lee, Soo-Chin Lee, Ann S. G. Hum Genomics Research BACKGROUND: For the majority of individuals with early-onset or familial breast cancer referred for genetic testing, the genetic basis of their familial breast cancer remains unexplained. To identify novel germline variants associated with breast cancer predisposition, whole-exome sequencing (WES) was performed. METHODS: WES on 290 BRCA1/BRCA2-negative Singaporeans with early-onset breast cancer and/or a family history of breast cancer was done. Case–control analysis against the East-Asian subpopulation (EAS) from the Genome Aggregation Database (gnomAD) identified variants enriched in cases, which were further selected by occurrence in cancer gene databases. Variants were further evaluated in repeated case–control analyses using a second case cohort from the database of Genotypes and Phenotypes (dbGaP) comprising 466 early-onset breast cancer patients from the United States, and a Singapore SG10K_Health control cohort. RESULTS: Forty-nine breast cancer-associated germline pathogenic variants in 37 genes were identified in Singapore cases versus gnomAD (EAS). Compared against SG10K_Health controls, 13 of 49 variants remain significantly enriched (False Discovery Rate (FDR)-adjusted p < 0.05). Comparing these 49 variants in dbGaP cases against gnomAD (EAS) and SG10K_Health controls revealed 23 concordant variants that were significantly enriched (FDR-adjusted p < 0.05). Fourteen variants were consistently enriched in breast cancer cases across all comparisons (FDR-adjusted p < 0.05). Seven variants in GPRIN2, NRG1, MYO5A, CLIP1, CUX1, GNAS and MGA were confirmed by Sanger sequencing. CONCLUSIONS: In conclusion, we have identified pathogenic variants in genes associated with breast cancer predisposition. Importantly, many of these variants were significant in a second case cohort from dbGaP, suggesting that the strategy of using case–control analysis to select variants could potentially be utilized for identifying variants associated with cancer susceptibility. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40246-022-00435-7. BioMed Central 2022-11-23 /pmc/articles/PMC9685974/ /pubmed/36424660 http://dx.doi.org/10.1186/s40246-022-00435-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lee, Ning Yuan
Hum, Melissa
Amali, Aseervatham Anusha
Lim, Wei Kiat
Wong, Matthew
Myint, Matthew Khine
Tay, Ru Jin
Ong, Pei-Yi
Samol, Jens
Lim, Chia Wei
Ang, Peter
Tan, Min-Han
Lee, Soo-Chin
Lee, Ann S. G.
Whole-exome sequencing of BRCA-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility
title Whole-exome sequencing of BRCA-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility
title_full Whole-exome sequencing of BRCA-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility
title_fullStr Whole-exome sequencing of BRCA-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility
title_full_unstemmed Whole-exome sequencing of BRCA-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility
title_short Whole-exome sequencing of BRCA-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility
title_sort whole-exome sequencing of brca-negative breast cancer patients and case–control analyses identify variants associated with breast cancer susceptibility
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685974/
https://www.ncbi.nlm.nih.gov/pubmed/36424660
http://dx.doi.org/10.1186/s40246-022-00435-7
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