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A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration

Rett syndrome (RTT) is a rare neurological disorder mostly caused by a genetic variation in MECP2. Making new MECP2 variants and the related phenotypes available provides data for better understanding of disease mechanisms and faster identification of variants for diagnosis. This is, however, curren...

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Autores principales: Ehrhart, Friederike, Jacobsen, Annika, Rigau, Maria, Bosio, Mattia, Kaliyaperumal, Rajaram, Laros, Jeroen F. J., Willighagen, Egon L., Valencia, Alfonso, Roos, Marco, Capella-Gutierrez, Salvador, Curfs, Leopold M. G., Evelo, Chris T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810705/
https://www.ncbi.nlm.nih.gov/pubmed/33452270
http://dx.doi.org/10.1038/s41597-020-00794-7
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author Ehrhart, Friederike
Jacobsen, Annika
Rigau, Maria
Bosio, Mattia
Kaliyaperumal, Rajaram
Laros, Jeroen F. J.
Willighagen, Egon L.
Valencia, Alfonso
Roos, Marco
Capella-Gutierrez, Salvador
Curfs, Leopold M. G.
Evelo, Chris T.
author_facet Ehrhart, Friederike
Jacobsen, Annika
Rigau, Maria
Bosio, Mattia
Kaliyaperumal, Rajaram
Laros, Jeroen F. J.
Willighagen, Egon L.
Valencia, Alfonso
Roos, Marco
Capella-Gutierrez, Salvador
Curfs, Leopold M. G.
Evelo, Chris T.
author_sort Ehrhart, Friederike
collection PubMed
description Rett syndrome (RTT) is a rare neurological disorder mostly caused by a genetic variation in MECP2. Making new MECP2 variants and the related phenotypes available provides data for better understanding of disease mechanisms and faster identification of variants for diagnosis. This is, however, currently hampered by the lack of interoperability between genotype-phenotype databases. Here, we demonstrate on the example of MECP2 in RTT that by making the genotype-phenotype data more Findable, Accessible, Interoperable, and Reusable (FAIR), we can facilitate prioritization and analysis of variants. In total, 10,968 MECP2 variants were successfully integrated. Among these variants 863 unique confirmed RTT causing and 209 unique confirmed benign variants were found. This dataset was used for comparison of pathogenicity predicting tools, protein consequences, and identification of ambiguous variants. Prediction tools generally recognised the RTT causing and benign variants, however, there was a broad range of overlap Nineteen variants were identified that were annotated as both disease-causing and benign, suggesting that there are additional factors in these cases contributing to disease development.
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spelling pubmed-78107052021-01-21 A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration Ehrhart, Friederike Jacobsen, Annika Rigau, Maria Bosio, Mattia Kaliyaperumal, Rajaram Laros, Jeroen F. J. Willighagen, Egon L. Valencia, Alfonso Roos, Marco Capella-Gutierrez, Salvador Curfs, Leopold M. G. Evelo, Chris T. Sci Data Data Descriptor Rett syndrome (RTT) is a rare neurological disorder mostly caused by a genetic variation in MECP2. Making new MECP2 variants and the related phenotypes available provides data for better understanding of disease mechanisms and faster identification of variants for diagnosis. This is, however, currently hampered by the lack of interoperability between genotype-phenotype databases. Here, we demonstrate on the example of MECP2 in RTT that by making the genotype-phenotype data more Findable, Accessible, Interoperable, and Reusable (FAIR), we can facilitate prioritization and analysis of variants. In total, 10,968 MECP2 variants were successfully integrated. Among these variants 863 unique confirmed RTT causing and 209 unique confirmed benign variants were found. This dataset was used for comparison of pathogenicity predicting tools, protein consequences, and identification of ambiguous variants. Prediction tools generally recognised the RTT causing and benign variants, however, there was a broad range of overlap Nineteen variants were identified that were annotated as both disease-causing and benign, suggesting that there are additional factors in these cases contributing to disease development. Nature Publishing Group UK 2021-01-15 /pmc/articles/PMC7810705/ /pubmed/33452270 http://dx.doi.org/10.1038/s41597-020-00794-7 Text en © The Author(s) 2021 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Ehrhart, Friederike
Jacobsen, Annika
Rigau, Maria
Bosio, Mattia
Kaliyaperumal, Rajaram
Laros, Jeroen F. J.
Willighagen, Egon L.
Valencia, Alfonso
Roos, Marco
Capella-Gutierrez, Salvador
Curfs, Leopold M. G.
Evelo, Chris T.
A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration
title A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration
title_full A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration
title_fullStr A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration
title_full_unstemmed A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration
title_short A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration
title_sort catalogue of 863 rett-syndrome-causing mecp2 mutations and lessons learned from data integration
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810705/
https://www.ncbi.nlm.nih.gov/pubmed/33452270
http://dx.doi.org/10.1038/s41597-020-00794-7
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