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| Content Provider | PubMed Central |
|---|---|
| Author | Dubchak, Inna Balasubramanian, Sandhya Wang, Sheng Meyden, Cem Sulakhe, Dinanath Poliakov, Alexander Daniela, Börnigen Xie, Bingqing Taylor, Andrew Ma, Jianzhu Paciorkowski, Alex R. Mirzaa, Ghayda M. Dave, Paul Agam, Gady Xu, Jinbo Al-gazali, Lihadh Mason, Christopher E. Ross, M. Elizabeth Maltsev, Natalia Gilliam, T. Conrad |
| Editor | Huang, Qingyang |
| Copyright Year | 2014 |
| Abstract | An essential step in the discovery of molecular mechanisms contributing to disease phenotypes and efficient experimental planning is the development of weighted hypotheses that estimate the functional effects of sequence variants discovered by high-throughput genomics. With the increasing specialization of the bioinformatics resources, creating analytical workflows that seamlessly integrate data and bioinformatics tools developed by multiple groups becomes inevitable. Here we present a case study of a use of the distributed analytical environment integrating four complementary specialized resources, namely the Lynx platform, VISTA RViewer, the Developmental Brain Disorders Database (DBDB), and the RaptorX server, for the identification of high-confidence candidate genes contributing to pathogenesis of spina bifida. The analysis resulted in prediction and validation of deleterious mutations in the SLC19A placental transporter in mothers of the affected children that causes narrowing of the outlet channel and therefore leads to the reduced folate permeation rate. The described approach also enabled correct identification of several genes, previously shown to contribute to pathogenesis of spina bifida, and suggestion of additional genes for experimental validations. The study demonstrates that the seamless integration of bioinformatics resources enables fast and efficient prioritization and characterization of genomic factors and molecular networks contributing to the phenotypes of interest. |
| Related Links | http://dx.doi.org/10.1371/journal.pone.0114903 |
| Starting Page | 114903 |
| File Format | |
| ISSN | 19326203 |
| e-ISSN | 19326203 |
| Journal | PLoS ONE |
| Issue Number | 12 |
| Volume Number | 9 |
| Language | English |
| Publisher | Public Library of Science |
| Publisher Date | 2014-12-01 |
| Access Restriction | Open |
| Rights Holder | Public Library of Science |
| Subject Keyword | Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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