ArticleNucleic acids research2021
VARAdb: a comprehensive variation annotation database for human.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- DeNovoSeer:a deep learning framework for pathogenicity prediction of De novo mutations.Briefings in bioinformatics · 2026Article
- CellSNVReg: a multidimensional resource for SNV-mediated regulatory perturbations in single-cell and spatial omics.Nucleic acids research · 2026Article
- CNAScope: pan-cancer copy number aberration database with functional annotation and interactive visualization.Nucleic acids research · 2026Article
- Gene4Denovo2: an updated platform for human de novo mutations discovery and interpretation.Nucleic acids research · 2026Article
- Association of ZNF608 Polymorphisms With House Dust Mite-Induced Allergic Rhinitis.Clinical and translational allergy · 2025Article
- Neur-Ally: a deep learning model for regulatory variant prediction based on genomic and epigenomic features in brain and its validation in certain neurological disorders.NAR genomics and bioinformatics · 2025Article
- TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data.Nature communications · 2025Article
- Refinement of a Published Gene-Physical Activity Interaction Impacting HDL-Cholesterol: Role of Sex and Lipoprotein Subfractions.Genetic epidemiology · 2025Article
- VCAT: an integrated variant function annotation tools.Human genetics · 2024Article
- Super-enhancer omics in stem cell.Molecular cancer · 2024Review
- A panel sequencing dataset of peripheral blood gene variations in pan-cancer.Scientific data · 2024Article
- MethMarkerDB: a comprehensive cancer DNA methylation biomarker database.Nucleic acids research · 2024Article
- VarCards2: an integrated genetic and clinical database for ACMG-AMP variant-interpretation guidelines in the human whole genome.Nucleic acids research · 2024Article
- PhenoSV: interpretable phenotype-aware model for the prioritization of genes affected by structural variants.Nature communications · 2023Article
- A cross-disorder study to identify causal relationships, shared genetic variants, and genes across 21 digestive disorders.iScience · 2023Article
- Superenhancers as master gene regulators and novel therapeutic targets in brain tumors.Experimental & molecular medicine · 2023Review
- ChromLoops: a comprehensive database for specific protein-mediated chromatin loops in diverse organisms.Nucleic acids research · 2023Article
- Animal-SNPAtlas: a comprehensive SNP database for multiple animals.Nucleic acids research · 2023Article
- Pancan-MNVQTLdb: systematic identification of multi-nucleotide variant quantitative trait loci in 33 cancer types.NAR cancer · 2022Article
- Genetic Polymorphisms of lncRNAInternational journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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