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An empirical pipeline for personalized diagnosis of Lafora disease mutations
Lafora disease (LD) is a fatal childhood dementia characterized by progressive myoclonic epilepsy manifesting in the teenage years, rapid neurological decline, and death typically within ten years of onset. Mutations in either EPM2A, encoding the glycogen phosphatase laforin, or EPM2B, encoding the...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564118/ https://www.ncbi.nlm.nih.gov/pubmed/34755096 http://dx.doi.org/10.1016/j.isci.2021.103276 |
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author | Brewer, M. Kathryn Machio-Castello, Maria Viana, Rosa Wayne, Jeremiah L. Kuchtová, Andrea Simmons, Zoe R. Sternbach, Sarah Li, Sheng García-Gimeno, Maria Adelaida Serratosa, Jose M. Sanz, Pascual Vander Kooi, Craig W. Gentry, Matthew S. |
author_facet | Brewer, M. Kathryn Machio-Castello, Maria Viana, Rosa Wayne, Jeremiah L. Kuchtová, Andrea Simmons, Zoe R. Sternbach, Sarah Li, Sheng García-Gimeno, Maria Adelaida Serratosa, Jose M. Sanz, Pascual Vander Kooi, Craig W. Gentry, Matthew S. |
author_sort | Brewer, M. Kathryn |
collection | PubMed |
description | Lafora disease (LD) is a fatal childhood dementia characterized by progressive myoclonic epilepsy manifesting in the teenage years, rapid neurological decline, and death typically within ten years of onset. Mutations in either EPM2A, encoding the glycogen phosphatase laforin, or EPM2B, encoding the E3 ligase malin, cause LD. Whole exome sequencing has revealed many EPM2A variants associated with late-onset or slower disease progression. We established an empirical pipeline for characterizing the functional consequences of laforin missense mutations in vitro using complementary biochemical approaches. Analysis of 26 mutations revealed distinct functional classes associated with different outcomes that were supported by clinical cases. For example, F321C and G279C mutations have attenuated functional defects and are associated with slow progression. This pipeline enabled rapid characterization and classification of newly identified EPM2A mutations, providing clinicians and researchers genetic information to guide treatment of LD patients. |
format | Online Article Text |
id | pubmed-8564118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85641182021-11-08 An empirical pipeline for personalized diagnosis of Lafora disease mutations Brewer, M. Kathryn Machio-Castello, Maria Viana, Rosa Wayne, Jeremiah L. Kuchtová, Andrea Simmons, Zoe R. Sternbach, Sarah Li, Sheng García-Gimeno, Maria Adelaida Serratosa, Jose M. Sanz, Pascual Vander Kooi, Craig W. Gentry, Matthew S. iScience Article Lafora disease (LD) is a fatal childhood dementia characterized by progressive myoclonic epilepsy manifesting in the teenage years, rapid neurological decline, and death typically within ten years of onset. Mutations in either EPM2A, encoding the glycogen phosphatase laforin, or EPM2B, encoding the E3 ligase malin, cause LD. Whole exome sequencing has revealed many EPM2A variants associated with late-onset or slower disease progression. We established an empirical pipeline for characterizing the functional consequences of laforin missense mutations in vitro using complementary biochemical approaches. Analysis of 26 mutations revealed distinct functional classes associated with different outcomes that were supported by clinical cases. For example, F321C and G279C mutations have attenuated functional defects and are associated with slow progression. This pipeline enabled rapid characterization and classification of newly identified EPM2A mutations, providing clinicians and researchers genetic information to guide treatment of LD patients. Elsevier 2021-10-13 /pmc/articles/PMC8564118/ /pubmed/34755096 http://dx.doi.org/10.1016/j.isci.2021.103276 Text en © 2021 The Authors https://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 | Article Brewer, M. Kathryn Machio-Castello, Maria Viana, Rosa Wayne, Jeremiah L. Kuchtová, Andrea Simmons, Zoe R. Sternbach, Sarah Li, Sheng García-Gimeno, Maria Adelaida Serratosa, Jose M. Sanz, Pascual Vander Kooi, Craig W. Gentry, Matthew S. An empirical pipeline for personalized diagnosis of Lafora disease mutations |
title | An empirical pipeline for personalized diagnosis of Lafora disease mutations |
title_full | An empirical pipeline for personalized diagnosis of Lafora disease mutations |
title_fullStr | An empirical pipeline for personalized diagnosis of Lafora disease mutations |
title_full_unstemmed | An empirical pipeline for personalized diagnosis of Lafora disease mutations |
title_short | An empirical pipeline for personalized diagnosis of Lafora disease mutations |
title_sort | empirical pipeline for personalized diagnosis of lafora disease mutations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564118/ https://www.ncbi.nlm.nih.gov/pubmed/34755096 http://dx.doi.org/10.1016/j.isci.2021.103276 |
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