TY - JOUR
T1 - Analysis of the Phenotypes in the Rett Networked Database
AU - Frullanti, Elisa
AU - Papa, Filomena T.
AU - Grillo, Elisa
AU - Clarke, Angus
AU - Ben-Zeev, Bruria
AU - Pineda, Mercedes
AU - Bahi-Buisson, Nadia
AU - Bienvenu, Thierry
AU - Armstrong, Judith
AU - Roche Martinez, Ana
AU - Mari, Francesca
AU - Nissenkorn, Andreea
AU - Lo Rizzo, Caterina
AU - Veneselli, Edvige
AU - Russo, Silvia
AU - Vignoli, Aglaia
AU - Pini, Giorgio
AU - Djuric, Milena
AU - Bisgaard, Anne Marie
AU - Ravn, Kirstine
AU - Bosnjak, Vlatka Mejaski
AU - Hayek, Joussef
AU - Khajuria, Rajni
AU - Montomoli, Barbara
AU - Cogliati, Francesca
AU - Pintaudi, Maria
AU - Hadzsiev, Kinga
AU - Craiu, Dana
AU - Voinova, Victoria
AU - Djukic, Aleksandra
AU - Villard, Laurent
AU - Renieri, Alessandra
N1 - Publisher Copyright:
© 2019 Elisa Frullanti et al.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85074498539&partnerID=8YFLogxK
U2 - 10.1155/2019/6956934
DO - 10.1155/2019/6956934
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AN - SCOPUS:85074498539
SN - 2314-436X
VL - 2019
JO - International Journal of Genomics
JF - International Journal of Genomics
M1 - 6956934
ER -