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          Institute: MPI für molekulare Genetik     Collection: Department of Computational Molecular Biology     Display Documents

ID: 538647.0, MPI für molekulare Genetik / Department of Computational Molecular Biology
Quantifying the effect of sequence variation on regulatory interactions
Authors:Manke, T.; Heinig, M.; Vingron, M.
Date of Publication (YYYY-MM-DD):2010-04
Title of Journal:Hum Mutation
Journal Abbrev.:Hum Mutat
Issue / Number:4
Start Page:477
End Page:483
Copyright:© 2010 by John Wiley & Sons, Inc.
Review Status:not specified
Audience:Experts Only
Abstract / Description:The increasing amount of sequence data provides new opportunities and challenges to derive mechanistic models that can link sequence variations to phenotypic diversity. Here we introduce a new computational framework to suggest possible consequences of sequence variations on regulatory networks. Our method, called sTRAP (, analyses variations in the DNA sequence and predicts quantitative changes to the binding strength of any transcription factor for which there is a binding model. We have tested the method against a set of known associations between SNPs and their regulatory consequences. Our predictions are robust with respect to different parameters and model assumptions. Importantly we set an objective and quantifiable benchmark against which future improvements can be compared. Given the good performance of our method, we developed a publicly available tool that can serve as an important starting point for routine analysis of disease-associated sequence regions.
Free Keywords:Base Sequence; Computational Biology/methods; Gene Regulatory Networks/genetics; Humans; Molecular Sequence Data; Mutation/genetics; Polymorphism, Single Nucleotide/genetics; Protein Binding; Transcription Factors/metabolism
External Publication Status:published
Document Type:Article
Communicated by:Martin Vingron
Affiliations:MPI für molekulare Genetik
External Affiliations:Max Delbrück Centrum for Molecular Medicine, Berlin, Germany
Identifiers:ISSN:1098-1004 (Electronic) 1059-7794 (Linking) %R 10.1... [ID No:1]
URL: [ID No:2]
DOI:10.1002/humu.21209 [ID No:3]
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