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Analysis of the Phenotypes in the Rett Networked Database
Rett spectrum disorder is a progressive neurological disease and the most common genetic cause of intellectual disability in females. MECP2 is the major causative gene. In addition, CDKL5 and FOXG1 mutations have been reported in Rett patients, especially with the atypical presentation. Each gene an...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458890/ https://www.ncbi.nlm.nih.gov/pubmed/31049350 http://dx.doi.org/10.1155/2019/6956934 |
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author | Frullanti, Elisa Papa, Filomena T. Grillo, Elisa Clarke, Angus Ben-Zeev, Bruria Pineda, Mercedes Bahi-Buisson, Nadia Bienvenu, Thierry Armstrong, Judith Roche Martinez, Ana Mari, Francesca Nissenkorn, Andreea Lo Rizzo, Caterina Veneselli, Edvige Russo, Silvia Vignoli, Aglaia Pini, Giorgio Djuric, Milena Bisgaard, Anne-Marie Ravn, Kirstine Bosnjak, Vlatka Mejaski Hayek, Joussef Khajuria, Rajni Montomoli, Barbara Cogliati, Francesca Pintaudi, Maria Hadzsiev, Kinga Craiu, Dana Voinova, Victoria Djukic, Aleksandra Villard, Laurent Renieri, Alessandra |
author_facet | Frullanti, Elisa Papa, Filomena T. Grillo, Elisa Clarke, Angus Ben-Zeev, Bruria Pineda, Mercedes Bahi-Buisson, Nadia Bienvenu, Thierry Armstrong, Judith Roche Martinez, Ana Mari, Francesca Nissenkorn, Andreea Lo Rizzo, Caterina Veneselli, Edvige Russo, Silvia Vignoli, Aglaia Pini, Giorgio Djuric, Milena Bisgaard, Anne-Marie Ravn, Kirstine Bosnjak, Vlatka Mejaski Hayek, Joussef Khajuria, Rajni Montomoli, Barbara Cogliati, Francesca Pintaudi, Maria Hadzsiev, Kinga Craiu, Dana Voinova, Victoria Djukic, Aleksandra Villard, Laurent Renieri, Alessandra |
author_sort | Frullanti, Elisa |
collection | PubMed |
description | Rett spectrum disorder is a progressive neurological disease and the most common genetic cause of intellectual disability in females. MECP2 is the major causative gene. In addition, CDKL5 and FOXG1 mutations have been reported in Rett patients, especially with the atypical presentation. Each gene and different mutations within each gene contribute to variability in clinical presentation, and several groups worldwide performed genotype-phenotype correlation studies using cohorts of patients with classic and atypical forms of Rett spectrum disorder. The Rett Networked Database is a unified registry of clinical and molecular data of Rett patients, and it is currently one of the largest Rett registries worldwide with several hundred records provided by Rett expert clinicians from 13 countries. Collected data revealed that the majority of MECP2-mutated patients present with the classic form, the majority of CDKL5-mutated patients with the early-onset seizure variant, and the majority of FOXG1-mutated patients with the congenital form. A computation of severity scores further revealed significant differences between groups of patients and correlation with mutation types. The highly detailed phenotypic information contained in the Rett Networked Database allows the grouping of patients presenting specific clinical and genetic characteristics for studies by the Rett community and beyond. These data will also serve for the development of clinical trials involving homogeneous groups of patients. |
format | Online Article Text |
id | pubmed-6458890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-64588902019-05-02 Analysis of the Phenotypes in the Rett Networked Database Frullanti, Elisa Papa, Filomena T. Grillo, Elisa Clarke, Angus Ben-Zeev, Bruria Pineda, Mercedes Bahi-Buisson, Nadia Bienvenu, Thierry Armstrong, Judith Roche Martinez, Ana Mari, Francesca Nissenkorn, Andreea Lo Rizzo, Caterina Veneselli, Edvige Russo, Silvia Vignoli, Aglaia Pini, Giorgio Djuric, Milena Bisgaard, Anne-Marie Ravn, Kirstine Bosnjak, Vlatka Mejaski Hayek, Joussef Khajuria, Rajni Montomoli, Barbara Cogliati, Francesca Pintaudi, Maria Hadzsiev, Kinga Craiu, Dana Voinova, Victoria Djukic, Aleksandra Villard, Laurent Renieri, Alessandra Int J Genomics Research Article Rett spectrum disorder is a progressive neurological disease and the most common genetic cause of intellectual disability in females. MECP2 is the major causative gene. In addition, CDKL5 and FOXG1 mutations have been reported in Rett patients, especially with the atypical presentation. Each gene and different mutations within each gene contribute to variability in clinical presentation, and several groups worldwide performed genotype-phenotype correlation studies using cohorts of patients with classic and atypical forms of Rett spectrum disorder. The Rett Networked Database is a unified registry of clinical and molecular data of Rett patients, and it is currently one of the largest Rett registries worldwide with several hundred records provided by Rett expert clinicians from 13 countries. Collected data revealed that the majority of MECP2-mutated patients present with the classic form, the majority of CDKL5-mutated patients with the early-onset seizure variant, and the majority of FOXG1-mutated patients with the congenital form. A computation of severity scores further revealed significant differences between groups of patients and correlation with mutation types. The highly detailed phenotypic information contained in the Rett Networked Database allows the grouping of patients presenting specific clinical and genetic characteristics for studies by the Rett community and beyond. These data will also serve for the development of clinical trials involving homogeneous groups of patients. Hindawi 2019-03-27 /pmc/articles/PMC6458890/ /pubmed/31049350 http://dx.doi.org/10.1155/2019/6956934 Text en Copyright © 2019 Elisa Frullanti et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Frullanti, Elisa Papa, Filomena T. Grillo, Elisa Clarke, Angus Ben-Zeev, Bruria Pineda, Mercedes Bahi-Buisson, Nadia Bienvenu, Thierry Armstrong, Judith Roche Martinez, Ana Mari, Francesca Nissenkorn, Andreea Lo Rizzo, Caterina Veneselli, Edvige Russo, Silvia Vignoli, Aglaia Pini, Giorgio Djuric, Milena Bisgaard, Anne-Marie Ravn, Kirstine Bosnjak, Vlatka Mejaski Hayek, Joussef Khajuria, Rajni Montomoli, Barbara Cogliati, Francesca Pintaudi, Maria Hadzsiev, Kinga Craiu, Dana Voinova, Victoria Djukic, Aleksandra Villard, Laurent Renieri, Alessandra Analysis of the Phenotypes in the Rett Networked Database |
title | Analysis of the Phenotypes in the Rett Networked Database |
title_full | Analysis of the Phenotypes in the Rett Networked Database |
title_fullStr | Analysis of the Phenotypes in the Rett Networked Database |
title_full_unstemmed | Analysis of the Phenotypes in the Rett Networked Database |
title_short | Analysis of the Phenotypes in the Rett Networked Database |
title_sort | analysis of the phenotypes in the rett networked database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458890/ https://www.ncbi.nlm.nih.gov/pubmed/31049350 http://dx.doi.org/10.1155/2019/6956934 |
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