. (2005) Dimensional phenotypic analysis and functional categorisation of mutations reveal novel genotype-phenotype associations in Rett syndrome. European Journal of Human Genetics, Volume 13 (Number 10). pp. 1121-1130. ISSN 1018-4813

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Abstract

We aimed to improve the understanding of genotype-phenotype correlations in Rett syndrome (RS) by adopting a novel approach to categorising phenotypic dimensions - separating typicality of presentation, outcome severity and age of onset - and by classifying MECP2 mutations strictly by predicted functional attributes. MECP2 mutation screening results were available on 190 patients with a clinical diagnosis of RS (140 cases with classic RS, 50 with atypical RS). 135 cases had identified mutations. Of the 140 patients, 116 with classic RS (82.9%) had an identified mutation compared with 19 of 50 patients (38%) with an atypical presentation. Cases with early onset of regression and seizures, and those with clinical features that might indicate alternative aetiologies, were less likely to have mutations. Individuals with late truncating mutations had a less typical presentation than cases with missense and early truncating mutations, presumably reflecting greater residual function of MECP2 protein. Individuals with early truncating mutations had a more severe outcome than cases with missense and late truncating mutations. These findings held when restricting the analysis to cases over 15 years of age and classic cases only. Previous findings of variation in severity among the common mutations were confirmed. The approach to phenotypic and genotypic classification adopted here allowed us to identify genotype-phenotype associations in RS that may aid our understanding of pathogenesis and also contribute to clinical knowledge on the impact of different types of mutations.

Item Type:	Journal Article
Subjects:	Q Science > QD Chemistry Q Science > QH Natural history > QH426 Genetics
Divisions:	Faculty of Social Sciences > Centre for Educational Development, Appraisal and Research (CEDAR)
Journal or Publication Title:	European Journal of Human Genetics
Publisher:	Nature Publishing Group
ISSN:	1018-4813
Date:	October 2005
Volume:	Volume 13
Number:	Number 10
Number of Pages:	10
Page Range:	pp. 1121-1130
Identification Number:	10.1038/sj.ejhg.5201471
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/34549

Data sourced from Thomson Reuters' Web of Knowledge

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