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Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation

Genetic testing allows for the identification of germline DNA variations, which are associated with a significant increase in the risk of developing breast cancer (BC) and ovarian cancer (OC). Detection of a BRCA1 or BRCA2 pathogenic variant triggers several clinical management actions, which may in...

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Autores principales: Golubeva, Volha A., Nepomuceno, Thales C., Monteiro, Alvaro N. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520942/
https://www.ncbi.nlm.nih.gov/pubmed/31013702
http://dx.doi.org/10.3390/cancers11040522
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author Golubeva, Volha A.
Nepomuceno, Thales C.
Monteiro, Alvaro N. A.
author_facet Golubeva, Volha A.
Nepomuceno, Thales C.
Monteiro, Alvaro N. A.
author_sort Golubeva, Volha A.
collection PubMed
description Genetic testing allows for the identification of germline DNA variations, which are associated with a significant increase in the risk of developing breast cancer (BC) and ovarian cancer (OC). Detection of a BRCA1 or BRCA2 pathogenic variant triggers several clinical management actions, which may include increased surveillance and prophylactic surgery for healthy carriers or treatment with the PARP inhibitor therapy for carriers diagnosed with cancer. Thus, standardized validated criteria for the annotation of BRCA1 and BRCA2 variants according to their pathogenicity are necessary to support clinical decision-making and ensure improved outcomes. Upon detection, variants whose pathogenicity can be inferred by the genetic code are typically classified as pathogenic, likely pathogenic, likely benign, or benign. Variants whose impact on function cannot be directly inferred by the genetic code are labeled as variants of uncertain clinical significance (VUS) and are evaluated by multifactorial likelihood models that use personal and family history of cancer, segregation data, prediction tools, and co-occurrence with a pathogenic BRCA variant. Missense variants, coding alterations that replace a single amino acid residue with another, are a class of variants for which determination of clinical relevance is particularly challenging. Here, we discuss current issues in the missense variant classification by following a typical life cycle of a BRCA1 missense variant through detection, annotation and information dissemination. Advances in massively parallel sequencing have led to a substantial increase in VUS findings. Although the comprehensive assessment and classification of missense variants according to their pathogenicity remains the bottleneck, new developments in functional analysis, high throughput assays, data sharing, and statistical models are rapidly changing this scenario.
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spelling pubmed-65209422019-05-31 Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation Golubeva, Volha A. Nepomuceno, Thales C. Monteiro, Alvaro N. A. Cancers (Basel) Review Genetic testing allows for the identification of germline DNA variations, which are associated with a significant increase in the risk of developing breast cancer (BC) and ovarian cancer (OC). Detection of a BRCA1 or BRCA2 pathogenic variant triggers several clinical management actions, which may include increased surveillance and prophylactic surgery for healthy carriers or treatment with the PARP inhibitor therapy for carriers diagnosed with cancer. Thus, standardized validated criteria for the annotation of BRCA1 and BRCA2 variants according to their pathogenicity are necessary to support clinical decision-making and ensure improved outcomes. Upon detection, variants whose pathogenicity can be inferred by the genetic code are typically classified as pathogenic, likely pathogenic, likely benign, or benign. Variants whose impact on function cannot be directly inferred by the genetic code are labeled as variants of uncertain clinical significance (VUS) and are evaluated by multifactorial likelihood models that use personal and family history of cancer, segregation data, prediction tools, and co-occurrence with a pathogenic BRCA variant. Missense variants, coding alterations that replace a single amino acid residue with another, are a class of variants for which determination of clinical relevance is particularly challenging. Here, we discuss current issues in the missense variant classification by following a typical life cycle of a BRCA1 missense variant through detection, annotation and information dissemination. Advances in massively parallel sequencing have led to a substantial increase in VUS findings. Although the comprehensive assessment and classification of missense variants according to their pathogenicity remains the bottleneck, new developments in functional analysis, high throughput assays, data sharing, and statistical models are rapidly changing this scenario. MDPI 2019-04-12 /pmc/articles/PMC6520942/ /pubmed/31013702 http://dx.doi.org/10.3390/cancers11040522 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Golubeva, Volha A.
Nepomuceno, Thales C.
Monteiro, Alvaro N. A.
Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation
title Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation
title_full Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation
title_fullStr Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation
title_full_unstemmed Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation
title_short Germline Missense Variants in BRCA1: New Trends and Challenges for Clinical Annotation
title_sort germline missense variants in brca1: new trends and challenges for clinical annotation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520942/
https://www.ncbi.nlm.nih.gov/pubmed/31013702
http://dx.doi.org/10.3390/cancers11040522
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