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VARAdb: a comprehensive variation annotation database for human
Author(s) -
Qi Pan,
Yue-Juan Liu,
Xuefeng Bai,
Xiaole Han,
Yong Jiang,
Bo Ai,
Shanshan Shi,
Fan Wang,
Mingcong Xu,
Yuezhu Wang,
Jun Zhao,
Jiaxin Chen,
Jian Zhang,
Xuecang Li,
Jiang Zhu,
Guorui Zhang,
Qiuyu Wang,
Chunquan Li
Publication year - 2020
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkaa922
Subject(s) - biology , chromatin , epigenomics , annotation , computational biology , genetics , human genome , enhancer , gene , genome , transcription factor , dna methylation , gene expression
With the study of human diseases and biological processes increasing, a large number of non-coding variants have been identified and facilitated. The rapid accumulation of genetic and epigenomic information has resulted in an urgent need to collect and process data to explore the regulation of non-coding variants. Here, we developed a comprehensive variation annotation database for human (VARAdb, http://www.licpathway.net/VARAdb/), which specifically considers non-coding variants. VARAdb provides annotation information for 577,283,813 variations and novel variants, prioritizes variations based on scores using nine annotation categories, and supports pathway downstream analysis. Importantly, VARAdb integrates a large amount of genetic and epigenomic data into five annotation sections, which include 'Variation information', 'Regulatory information', 'Related genes', 'Chromatin accessibility' and 'Chromatin interaction'. The detailed annotation information consists of motif changes, risk SNPs, LD SNPs, eQTLs, clinical variant-drug-gene pairs, sequence conservation, somatic mutations, enhancers, super enhancers, promoters, transcription factors, chromatin states, histone modifications, chromatin accessibility regions and chromatin interactions. This database is a user-friendly interface to query, browse and visualize variations and related annotation information. VARAdb is a useful resource for selecting potential functional variations and interpreting their effects on human diseases and biological processes.

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