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Rett networked database: an integrated clinical and genetic network of Rett syndrome databases.

Authors :
Grillo E
Villard L
Clarke A
Ben Zeev B
Pineda M
Bahi-Buisson N
Hryniewiecka-Jaworska A
Bienvenu T
Armstrong J
Roche-Martinez A
Mari F
Veneselli E
Russo S
Vignoli A
Pini G
Djuric M
Bisgaard AM
Mejaški Bošnjak V
Polgár N
Cogliati F
Ravn K
Pintaudi M
Melegh B
Craiu D
Djukic A
Renieri A
Source :
Human mutation [Hum Mutat] 2012 Jul; Vol. 33 (7), pp. 1031-6. Date of Electronic Publication: 2012 Apr 13.
Publication Year :
2012

Abstract

Rett syndrome (RTT) is a neurodevelopmental disorder with one principal phenotype and several distinct, atypical variants (Zappella, early seizure onset and congenital variants). Mutations in MECP2 are found in most cases of classic RTT but at least two additional genes, CDKL5 and FOXG1, can underlie some (usually variant) cases. There is only limited correlation between genotype and phenotype. The Rett Networked Database (http://www.rettdatabasenetwork.org/) has been established to share clinical and genetic information. Through an "adaptor" process of data harmonization, a set of 293 clinical items and 16 genetic items was generated; 62 clinical and 7 genetic items constitute the core dataset; 23 clinical items contain longitudinal information. The database contains information on 1838 patients from 11 countries (December 2011), with or without mutations in known genes. These numbers can expand indefinitely. Data are entered by a clinician in each center who supervises accuracy. This network was constructed to make available pooled international data for the study of RTT natural history and genotype-phenotype correlation and to indicate the proportion of patients with specific clinical features and mutations. We expect that the network will serve for the recruitment of patients into clinical trials and for developing quality measures to drive up standards of medical management.<br /> (© 2012 Wiley Periodicals, Inc.)

Details

Language :
English
ISSN :
1098-1004
Volume :
33
Issue :
7
Database :
MEDLINE
Journal :
Human mutation
Publication Type :
Academic Journal
Accession number :
22415763
Full Text :
https://doi.org/10.1002/humu.22072