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Computational and Structural Analysis to Assess the Pathogenicity of Bardet-Biedl Syndrome Related Missense Variants Identified in Bardet-Biedl Syndrome 10 Gene (BBS10)
[Image: see text] Bardet-Biedl Syndrome (BBS) is a rare inherited disorder resulting in multiple organ dysfunctions, whose cardinal clinical features include cognitive impairment, obesity, and renal dysfunction. Although it is highly heterogeneous at genetic levels, BBS10 is one of the major causati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608418/ https://www.ncbi.nlm.nih.gov/pubmed/36312387 http://dx.doi.org/10.1021/acsomega.2c04522 |
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author | Gupta, Neha Khan, Mudassar Ali Capasso, Giovambattista Zacchia, Miriam |
author_facet | Gupta, Neha Khan, Mudassar Ali Capasso, Giovambattista Zacchia, Miriam |
author_sort | Gupta, Neha |
collection | PubMed |
description | [Image: see text] Bardet-Biedl Syndrome (BBS) is a rare inherited disorder resulting in multiple organ dysfunctions, whose cardinal clinical features include cognitive impairment, obesity, and renal dysfunction. Although it is highly heterogeneous at genetic levels, BBS10 is one of the major causative genes worldwide. The BBS10 protein is part of a multiprotein complex localized at the basal body of the primary cilium. With the advancement of sequencing technologies, novel missense mutations are regularly reported in BBS10. However, prioritizing missense variants and conducting further in-depth analysis are key challenges in addressing their pathogenic effect. This study aims to characterize the known missense mutations of BBS10 by combining nine different in silico tools (SIFT, SNAP2, PROVEAN, Align-GVGD, ConSurf, I Mutant, MuPro, PremPS, and Dynamut) and molecular dynamics (MD) simulations. A total of 101 BBS10 missense variants have been analyzed. Our results showed that six BBS10 missense variants (Ser191Leu, Cys19Gly, Ile342Thr, Cys371Ser, Ala417Glu, and Tyr613Cys) were potentially deleterious. Overall, this study provides a comprehensive workflow for screening BBS10 missense mutations to identify pathogenic variants effectively. |
format | Online Article Text |
id | pubmed-9608418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-96084182022-10-28 Computational and Structural Analysis to Assess the Pathogenicity of Bardet-Biedl Syndrome Related Missense Variants Identified in Bardet-Biedl Syndrome 10 Gene (BBS10) Gupta, Neha Khan, Mudassar Ali Capasso, Giovambattista Zacchia, Miriam ACS Omega [Image: see text] Bardet-Biedl Syndrome (BBS) is a rare inherited disorder resulting in multiple organ dysfunctions, whose cardinal clinical features include cognitive impairment, obesity, and renal dysfunction. Although it is highly heterogeneous at genetic levels, BBS10 is one of the major causative genes worldwide. The BBS10 protein is part of a multiprotein complex localized at the basal body of the primary cilium. With the advancement of sequencing technologies, novel missense mutations are regularly reported in BBS10. However, prioritizing missense variants and conducting further in-depth analysis are key challenges in addressing their pathogenic effect. This study aims to characterize the known missense mutations of BBS10 by combining nine different in silico tools (SIFT, SNAP2, PROVEAN, Align-GVGD, ConSurf, I Mutant, MuPro, PremPS, and Dynamut) and molecular dynamics (MD) simulations. A total of 101 BBS10 missense variants have been analyzed. Our results showed that six BBS10 missense variants (Ser191Leu, Cys19Gly, Ile342Thr, Cys371Ser, Ala417Glu, and Tyr613Cys) were potentially deleterious. Overall, this study provides a comprehensive workflow for screening BBS10 missense mutations to identify pathogenic variants effectively. American Chemical Society 2022-10-12 /pmc/articles/PMC9608418/ /pubmed/36312387 http://dx.doi.org/10.1021/acsomega.2c04522 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Gupta, Neha Khan, Mudassar Ali Capasso, Giovambattista Zacchia, Miriam Computational and Structural Analysis to Assess the Pathogenicity of Bardet-Biedl Syndrome Related Missense Variants Identified in Bardet-Biedl Syndrome 10 Gene (BBS10) |
title | Computational and Structural Analysis to Assess the
Pathogenicity of Bardet-Biedl Syndrome Related Missense Variants Identified
in Bardet-Biedl Syndrome 10 Gene (BBS10) |
title_full | Computational and Structural Analysis to Assess the
Pathogenicity of Bardet-Biedl Syndrome Related Missense Variants Identified
in Bardet-Biedl Syndrome 10 Gene (BBS10) |
title_fullStr | Computational and Structural Analysis to Assess the
Pathogenicity of Bardet-Biedl Syndrome Related Missense Variants Identified
in Bardet-Biedl Syndrome 10 Gene (BBS10) |
title_full_unstemmed | Computational and Structural Analysis to Assess the
Pathogenicity of Bardet-Biedl Syndrome Related Missense Variants Identified
in Bardet-Biedl Syndrome 10 Gene (BBS10) |
title_short | Computational and Structural Analysis to Assess the
Pathogenicity of Bardet-Biedl Syndrome Related Missense Variants Identified
in Bardet-Biedl Syndrome 10 Gene (BBS10) |
title_sort | computational and structural analysis to assess the
pathogenicity of bardet-biedl syndrome related missense variants identified
in bardet-biedl syndrome 10 gene (bbs10) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9608418/ https://www.ncbi.nlm.nih.gov/pubmed/36312387 http://dx.doi.org/10.1021/acsomega.2c04522 |
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