A bioinformatics framework for genotype-phenotype correlation in humans with Marfan syndrome caused by FBN1 gene mutations.
J Biomed Inform
; 39(2): 171-83, 2006 Apr.
Article
em En
| MEDLINE
| ID: mdl-16061422
ABSTRACT
Mutations in the human FBN1 gene are known to be associated with the Marfan syndrome, an autosomal dominant inherited multi-systemic connective tissue disorder. However, in the absence of solid genotype-phenotype correlations, the identification of an FBN1 mutation has only little prognostic value. We propose a bioinformatics framework for the mutated FBN1 gene which comprises the collection, management, and analysis of mutation data identified by molecular genetic analysis (DHPLC) and data of the clinical phenotype. To query our database at different levels of information, a relational data model, describing mutational events at the cDNA and protein levels, and the disease's phenotypic expression from two alternative views, was implemented. For database similarity requests, a query model which uses a distance measure based on log-likelihood weights for each clinical manifestation, was introduced. A data mining strategy for discovering diagnostic markers, classification and clustering of phenotypic expressions was provided which enabled us to confirm some known and to identify some new genotype-phenotype correlations.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Sistemas de Gerenciamento de Base de Dados
/
Análise Mutacional de DNA
/
Biologia Computacional
/
Bases de Dados Genéticas
/
Síndrome de Marfan
/
Proteínas dos Microfilamentos
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
País/Região como assunto:
Europa
Idioma:
En
Ano de publicação:
2006
Tipo de documento:
Article