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.

Analysis of the Phenotypes in the Rett Networked Database / E. Frullanti, F.T. Papa, E. Grillo, A. Clarke, B. Ben-Zeev, M. Pineda, N. Bahi-Buisson, T. Bienvenu, J. Armstrong, A. Roche Martinez, F. Mari, A. Nissenkorn, C. Lo Rizzo, E. Veneselli, S. Russo, A. Vignoli, G. Pini, M. Djuric, A. Bisgaard, K. Ravn, V.M. Bosnjak, J. Hayek, R. Khajuria, B. Montomoli, F. Cogliati, M. Pintaudi, K. Hadzsiev, D. Craiu, V. Voinova, A. Djukic, L. Villard, A. Renieri. - In: INTERNATIONAL JOURNAL OF GENOMICS. - ISSN 2314-4378. - 2019(2019 Mar 27), pp. 6956934.1-6956934.9. [10.1155/2019/6956934]

Analysis of the Phenotypes in the Rett Networked Database

A. Vignoli;
2019

Abstract

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.
Rett Syndrome
Settore MED/39 - Neuropsichiatria Infantile
Settore MED/03 - Genetica Medica
27-mar-2019
Article (author)
File in questo prodotto:
File Dimensione Formato  
6956934.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 1.7 MB
Formato Adobe PDF
1.7 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/642582
Citazioni
  • ???jsp.display-item.citation.pmc??? 6
  • Scopus 24
  • ???jsp.display-item.citation.isi??? 18
social impact