rVarBase: an updated database for regulatory features of human variants

Nucleic Acids Res. 2016 Jan 4;44(D1):D888-93. doi: 10.1093/nar/gkv1107. Epub 2015 Oct 25.

Abstract

We present here the rVarBase database (http://rv.psych.ac.cn), an updated version of the rSNPBase database, to provide reliable and detailed regulatory annotations for known and novel human variants. This update expands the database to include additional types of human variants, such as copy number variations (CNVs) and novel variants, and include additional types of regulatory features. Now rVarBase annotates variants in three dimensions: chromatin states of the surrounding regions, overlapped regulatory elements and variants' potential target genes. Two new types of regulatory elements (lncRNAs and miRNA target sites) have been introduced to provide additional annotation. Detailed information about variants' overlapping transcription factor binding sites (TFBSs) (often less than 15 bp) within experimentally supported TF-binding regions (∼ 150 bp) is provided, along with the binding motifs of matched TF families. Additional types of extended variants and variant-associated phenotypes were also added. In addition to the enrichment in data content, an element-centric search module was added, and the web interface was refined. In summary, rVarBase hosts more types of human variants and includes more types of up-to-date regulatory information to facilitate in-depth functional research and to provide practical clues for experimental design.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Binding Sites
  • Chromatin / metabolism
  • DNA Copy Number Variations
  • Databases, Genetic*
  • Gene Expression Regulation*
  • Genetic Variation*
  • Humans
  • MicroRNAs / metabolism
  • Molecular Sequence Annotation
  • Polymorphism, Single Nucleotide
  • RNA, Long Noncoding / metabolism
  • Regulatory Sequences, Nucleic Acid
  • Transcription Factors / metabolism

Substances

  • Chromatin
  • MicroRNAs
  • RNA, Long Noncoding
  • Transcription Factors