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Identification of Germinal Neurofibromin Hotspots
Neurofibromin is engaged in many cellular processes and when the proper protein functioning is impaired, it causes neurofibromatosis type 1 (NF1), one of the most common inherited neurological disorders. Recent advances in sequencing and screening of the NF1 gene have increased the number of detecte...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405573/ https://www.ncbi.nlm.nih.gov/pubmed/36009591 http://dx.doi.org/10.3390/biomedicines10082044 |
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author | Lois, Sergio Báez-Flores, Juan Isidoro-García, María Lacal, Jesus Triviño, Juan Carlos |
author_facet | Lois, Sergio Báez-Flores, Juan Isidoro-García, María Lacal, Jesus Triviño, Juan Carlos |
author_sort | Lois, Sergio |
collection | PubMed |
description | Neurofibromin is engaged in many cellular processes and when the proper protein functioning is impaired, it causes neurofibromatosis type 1 (NF1), one of the most common inherited neurological disorders. Recent advances in sequencing and screening of the NF1 gene have increased the number of detected variants. However, the correlation of these variants with the clinic remains poorly understood. In this study, we analyzed 4610 germinal NF1 variants annotated in ClinVar and determined on exon level the mutational spectrum and potential pathogenic regions. Then, a binomial and sliding windows test using 783 benign and 938 pathogenic NF1 variants were analyzed against functional and structural regions of neurofibromin. The distribution of synonymous, missense, and frameshift variants are statistically significant in certain regions of neurofibromin suggesting that the type of variant and its associated phenotype may depend on protein disorder. Indeed, there is a negative correlation between the pathogenic fraction prediction and the disorder data, suggesting that the higher an intrinsically disordered region is, the lower the pathogenic fraction is and vice versa. Most pathogenic variants are associated to NF1 and our analysis suggests that GRD, CSRD, TBD, and Armadillo1 domains are hotspots in neurofibromin. Knowledge about NF1 genotype–phenotype correlations can provide prognostic guidance and aid in organ-specific surveillance. |
format | Online Article Text |
id | pubmed-9405573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94055732022-08-26 Identification of Germinal Neurofibromin Hotspots Lois, Sergio Báez-Flores, Juan Isidoro-García, María Lacal, Jesus Triviño, Juan Carlos Biomedicines Article Neurofibromin is engaged in many cellular processes and when the proper protein functioning is impaired, it causes neurofibromatosis type 1 (NF1), one of the most common inherited neurological disorders. Recent advances in sequencing and screening of the NF1 gene have increased the number of detected variants. However, the correlation of these variants with the clinic remains poorly understood. In this study, we analyzed 4610 germinal NF1 variants annotated in ClinVar and determined on exon level the mutational spectrum and potential pathogenic regions. Then, a binomial and sliding windows test using 783 benign and 938 pathogenic NF1 variants were analyzed against functional and structural regions of neurofibromin. The distribution of synonymous, missense, and frameshift variants are statistically significant in certain regions of neurofibromin suggesting that the type of variant and its associated phenotype may depend on protein disorder. Indeed, there is a negative correlation between the pathogenic fraction prediction and the disorder data, suggesting that the higher an intrinsically disordered region is, the lower the pathogenic fraction is and vice versa. Most pathogenic variants are associated to NF1 and our analysis suggests that GRD, CSRD, TBD, and Armadillo1 domains are hotspots in neurofibromin. Knowledge about NF1 genotype–phenotype correlations can provide prognostic guidance and aid in organ-specific surveillance. MDPI 2022-08-21 /pmc/articles/PMC9405573/ /pubmed/36009591 http://dx.doi.org/10.3390/biomedicines10082044 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 Lois, Sergio Báez-Flores, Juan Isidoro-García, María Lacal, Jesus Triviño, Juan Carlos Identification of Germinal Neurofibromin Hotspots |
title | Identification of Germinal Neurofibromin Hotspots |
title_full | Identification of Germinal Neurofibromin Hotspots |
title_fullStr | Identification of Germinal Neurofibromin Hotspots |
title_full_unstemmed | Identification of Germinal Neurofibromin Hotspots |
title_short | Identification of Germinal Neurofibromin Hotspots |
title_sort | identification of germinal neurofibromin hotspots |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405573/ https://www.ncbi.nlm.nih.gov/pubmed/36009591 http://dx.doi.org/10.3390/biomedicines10082044 |
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