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RADAR: annotation and prioritization of variants in the post-transcriptional regulome of RNA-binding proteins.
Zhang, Jing; Liu, Jason; Lee, Donghoon; Feng, Jo-Jo; Lochovsky, Lucas; Lou, Shaoke; Rutenberg-Schoenberg, Michael; Gerstein, Mark.
Afiliação
  • Zhang J; Department of Computer Science, University of California, Irvine, CA, 92697, USA.
  • Liu J; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA.
  • Lee D; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA.
  • Feng JJ; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA.
  • Lochovsky L; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA.
  • Lou S; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA.
  • Rutenberg-Schoenberg M; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA.
  • Gerstein M; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA.
Genome Biol ; 21(1): 151, 2020 07 30.
Article em En | MEDLINE | ID: mdl-32727537
ABSTRACT
RNA-binding proteins (RBPs) play key roles in post-transcriptional regulation and disease. Their binding sites cover more of the genome than coding exons; nevertheless, most noncoding variant prioritization methods only focus on transcriptional regulation. Here, we integrate the portfolio of ENCODE-RBP experiments to develop RADAR, a variant-scoring framework. RADAR uses conservation, RNA structure, network centrality, and motifs to provide an overall impact score. Then, it further incorporates tissue-specific inputs to highlight disease-specific variants. Our results demonstrate RADAR can successfully pinpoint variants, both somatic and germline, associated with RBP-function dysregulation, which cannot be found by most current prioritization methods, for example, variants affecting splicing.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Processamento Pós-Transcricional do RNA / Proteínas de Ligação a RNA / Genômica Tipo de estudo: Evaluation_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Processamento Pós-Transcricional do RNA / Proteínas de Ligação a RNA / Genômica Tipo de estudo: Evaluation_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article