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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
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.
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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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