Literature DB >> 20629180

Novel tools for extraction and validation of disease-related mutations applied to Fabry disease.

Remko Kuipers1, Tom van den Bergh, Henk-Jan Joosten, Ronald H Lekanne dit Deprez, Marcel Mam Mannens, Peter J Schaap.   

Abstract

Genetic disorders are often caused by nonsynonymous nucleotide changes in one or more genes associated with the disease. Specific amino acid changes, however, can lead to large variability of phenotypic expression. For many genetic disorders this results in an increasing amount of publications describing phenotype-associated mutations in disorder-related genes. Keeping up with this stream of publications is essential for molecular diagnostics and translational research purposes but often impossible due to time constraints: there are simply too many articles to read. To help solve this problem, we have created Mutator, an automated method to extract mutations from full-text articles. Extracted mutations are crossreferenced to sequence data and a scoring method is applied to distinguish false-positives. To analyze stored and new mutation data for their (potential) effect we have developed Validator, a Web-based tool specifically designed for DNA diagnostics. Fabry disease, a monogenetic gene disorder of the GLA gene, was used as a test case. A structure-based sequence alignment of the alpha-amylase superfamily was used to validate results. We have compared our data with existing Fabry mutation data sets obtained from the HGMD and Swiss-Prot databases. Compared to these data sets, Mutator extracted 30% additional mutations from the literature. Copyright 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20629180     DOI: 10.1002/humu.21317

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  12 in total

1.  Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature.

Authors:  Emily Doughty; Attila Kertesz-Farkas; Olivier Bodenreider; Gary Thompson; Asa Adadey; Thomas Peterson; Maricel G Kann
Journal:  Bioinformatics       Date:  2010-12-07       Impact factor: 6.937

2.  tmVar: a text mining approach for extracting sequence variants in biomedical literature.

Authors:  Chih-Hsuan Wei; Bethany R Harris; Hung-Yu Kao; Zhiyong Lu
Journal:  Bioinformatics       Date:  2013-04-05       Impact factor: 6.937

3.  Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature.

Authors:  Ayush Singhal; Michael Simmons; Zhiyong Lu
Journal:  J Am Med Inform Assoc       Date:  2016-04-27       Impact factor: 4.497

4.  Functional analysis of variant lysosomal acid glycosidases of Anderson-Fabry and Pompe disease in a human embryonic kidney epithelial cell line (HEK 293 T).

Authors:  Hatim Y Ebrahim; Robert J Baker; Atul B Mehta; Derralynn A Hughes
Journal:  J Inherit Metab Dis       Date:  2011-10-05       Impact factor: 4.982

Review 5.  Towards precision medicine: advances in computational approaches for the analysis of human variants.

Authors:  Thomas A Peterson; Emily Doughty; Maricel G Kann
Journal:  J Mol Biol       Date:  2013-08-17       Impact factor: 5.469

6.  Prospects for the automated extraction of mutation data from the scientific literature.

Authors:  Peter D Stenson; David N Cooper
Journal:  Hum Genomics       Date:  2010-10       Impact factor: 4.639

7.  Automated validation of genetic variants from large databases: ensuring that variant references refer to the same genomic locations.

Authors:  Mark Y Tong; Christopher A Cassa; Isaac S Kohane
Journal:  Bioinformatics       Date:  2011-01-22       Impact factor: 6.937

8.  Drug design for ever, from hype to hope.

Authors:  G Seddon; V Lounnas; R McGuire; T van den Bergh; R P Bywater; L Oliveira; G Vriend
Journal:  J Comput Aided Mol Des       Date:  2012-01-18       Impact factor: 3.686

9.  Mutationmapper: a tool to aid the mapping of protein mutation data.

Authors:  Shabana Vohra; Philip C Biggin
Journal:  PLoS One       Date:  2013-08-09       Impact factor: 3.240

10.  Annotating the biomedical literature for the human variome.

Authors:  Karin Verspoor; Antonio Jimeno Yepes; Lawrence Cavedon; Tara McIntosh; Asha Herten-Crabb; Zoë Thomas; John-Paul Plazzer
Journal:  Database (Oxford)       Date:  2013-04-12       Impact factor: 3.451

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