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Baumgartner, C; Mátyás, G; Steinmann, B; Eberle, M; Stein, J I; Baumgartner, D (2006). A bioinformatics framework for genotype-phenotype correlation in humans with Marfan syndrome caused by FBN1 gene mutations. Journal of Biomedical Informatics, 39(2):171-183.

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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.

Citations

5 citations in Web of Science®
7 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Medical Genetics
04 Faculty of Medicine > Institute of Medical Molecular Genetics
DDC:570 Life sciences; biology
610 Medicine & health
Language:English
Date:2006
Deposited On:10 Feb 2011 13:45
Last Modified:27 Nov 2013 18:22
Publisher:Elsevier
ISSN:1532-0464
Publisher DOI:10.1016/j.jbi.2005.06.001
PubMed ID:16061422

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