Genome biologyGenomicsPeer-reviewed journal article
RADAR: annotation and prioritization of variants in the post-transcriptional regulome of RNA-binding proteins
Jing ZhangiD, Jason J. LiuiD, Donghoon LeeiD, Jo-Jo Feng, Lucas LochovskyiD, Shaoke LouiD, Michael Rutenberg-Schoenberg, Mark GersteiniD
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, that cannot be found by most current prioritization methods, for example variants affecting splicing.
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: variant effect prediction
- research focus: variant calling
- research focus: benchmarking
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 8
- FWCI
- 0.41
- Field percentile
- top 47%
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