Investigating genotype-phenotype relationships in Rett syndrome using an international data set

A. Bebbington, A. Anderson, D. Ravine, S. Fyfe, M. Pineda, N. De Klerk, B. Ben-Zeev, N. Yatawara, A. Percy, W. E. Kaufmann, H. Leonard

    Research output: Contribution to journalArticlepeer-review

    Abstract

    BACKGROUND: Rett syndrome is an uncommon neurodevelopmental disorder with an incidence of 1:9,000 live female births. The principal genetic cause was first reported in 1999 when the association with mutations in the methyl-CpG-binding protein 2 (or MECP2) gene was identified. This study uses data from a large international database, InterRett, to examine genotype-phenotype relationships and compares these with previous findings in a population-based cohort. METHOD: The data set for these analyses was derived from a subset of InterRett cases with subject information collected from the family, the clinician, or both. Individual phenotypic characteristics and clinical severity using three scales were compared among those with eight known recurrent pathogenic MECP2 mutations as well as those with C-terminal deletions (n = 272). RESULTS: Overall, p.R270X and p.R255X were the most severe and p.R133C and p.R294X were the mildest mutations. Significant differences by mutation were seen for individual phenotypic characteristics such as hand use, ambulation, and language. CONCLUSIONS: This multicenter investigation into the phenotypic correlates of MECP2 mutations in Rett syndrome has provided a greater depth of understanding than hitherto available about the specific phenotypic characteristics associated with commonly occurring mutations. Although the modifying influence of X inactivation on clinical severity could not be included in the analysis, the findings confirm clear genotype-phenotype relationships in Rett syndrome and show the benefits of collaboration crucial to effective research in rare disorders.

    Original languageEnglish (US)
    Pages (from-to)868-875
    Number of pages8
    JournalNeurology
    Volume70
    Issue number11
    DOIs
    StatePublished - Mar 2008

    ASJC Scopus subject areas

    • Clinical Neurology

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