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Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation

Pathogenic mutation in BRCA1 gene is one of the most penetrant genetic predispositions towards cancer. Identification of the mutation provides important aspect in prevention and treatment of the mutation-caused cancer. Of the large quantity of genetic variants identified in human BRCA1, substantial...

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Autores principales: Sinha, Siddharth, Wang, San Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125325/
https://www.ncbi.nlm.nih.gov/pubmed/32257056
http://dx.doi.org/10.1016/j.csbj.2020.03.013
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author Sinha, Siddharth
Wang, San Ming
author_facet Sinha, Siddharth
Wang, San Ming
author_sort Sinha, Siddharth
collection PubMed
description Pathogenic mutation in BRCA1 gene is one of the most penetrant genetic predispositions towards cancer. Identification of the mutation provides important aspect in prevention and treatment of the mutation-caused cancer. Of the large quantity of genetic variants identified in human BRCA1, substantial portion is classified as Variant of Uncertain Significance (VUS) or unclassified variants due to the lack of functional evidence. In this study, we focused on the VUS and unclassified variants in BRCT repeat located at BRCA1 C-terminal. Utilizing the well-determined structure of BRCT repeats, we measured the influence of the variants on the structural conformations of BRCT repeats by using molecular dynamics simulation (MDS) consisting of RMSD (Root-mean-square-deviation), RMSF (Root-mean-square-fluctuations), Rg (Radius of gyration), SASA (Solvent accessible surface area), NH bond (hydrogen bond) and Covariance analysis. Using this approach, we analyzed 131 variants consisting of 89 VUS (Variant of Uncertain Significance) and 42 unclassified variants (unclassifiable by current methods) within BRCT repeats and were able to differentiate them into 78 Deleterious and 53 Tolerated variants. Comparing the results made by the saturation genome editing assay, multiple experimental assays, and BRCA1 reference databases shows that our approach provides high specificity, sensitivity and robust. Our study opens an avenue to classify VUS and unclassified variants in many cancer predisposition genes with known protein structure.
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spelling pubmed-71253252020-04-06 Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation Sinha, Siddharth Wang, San Ming Comput Struct Biotechnol J Research Article Pathogenic mutation in BRCA1 gene is one of the most penetrant genetic predispositions towards cancer. Identification of the mutation provides important aspect in prevention and treatment of the mutation-caused cancer. Of the large quantity of genetic variants identified in human BRCA1, substantial portion is classified as Variant of Uncertain Significance (VUS) or unclassified variants due to the lack of functional evidence. In this study, we focused on the VUS and unclassified variants in BRCT repeat located at BRCA1 C-terminal. Utilizing the well-determined structure of BRCT repeats, we measured the influence of the variants on the structural conformations of BRCT repeats by using molecular dynamics simulation (MDS) consisting of RMSD (Root-mean-square-deviation), RMSF (Root-mean-square-fluctuations), Rg (Radius of gyration), SASA (Solvent accessible surface area), NH bond (hydrogen bond) and Covariance analysis. Using this approach, we analyzed 131 variants consisting of 89 VUS (Variant of Uncertain Significance) and 42 unclassified variants (unclassifiable by current methods) within BRCT repeats and were able to differentiate them into 78 Deleterious and 53 Tolerated variants. Comparing the results made by the saturation genome editing assay, multiple experimental assays, and BRCA1 reference databases shows that our approach provides high specificity, sensitivity and robust. Our study opens an avenue to classify VUS and unclassified variants in many cancer predisposition genes with known protein structure. Research Network of Computational and Structural Biotechnology 2020-03-21 /pmc/articles/PMC7125325/ /pubmed/32257056 http://dx.doi.org/10.1016/j.csbj.2020.03.013 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Sinha, Siddharth
Wang, San Ming
Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation
title Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation
title_full Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation
title_fullStr Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation
title_full_unstemmed Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation
title_short Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation
title_sort classification of vus and unclassified variants in brca1 brct repeats by molecular dynamics simulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125325/
https://www.ncbi.nlm.nih.gov/pubmed/32257056
http://dx.doi.org/10.1016/j.csbj.2020.03.013
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