HGVbase
HGVbase provides a curated database of human genomic variation focused on single nucleotide polymorphisms (SNPs) and disease-associated mutations to support studies of genetic variation, disease associations, and pharmacogenomics.
Key Features:
- Comprehensive Data Coverage: Contains records of neutral polymorphisms and disease-linked mutations across the human genome.
- Query Capabilities: Supports queries by sequence similarity, keywords, and genome coordinates.
- Multiple Data Formats: Offers data downloads in XML, Fasta, SRS, SQL, and tagged-text file formats.
- Contextual Sequence Information: Presents each variant with surrounding sequence context and links to neighboring human genes and affected features.
- Population Allele Frequencies: Includes population allele frequency data where available.
- Data Integrity and Consistency: Employs semi-automated data checking to ensure internal consistency and correct common source errors.
- Automated Annotation: Uses fully automated annotation tools to uniquely map variants to the draft genome sequence and reference positions in EMBL/GenBank files.
- Genotyping Assays and Functional Predictions: Provides genotyping assay information and functional prediction data to support experimental validation and interpretation.
- Haplotype and Genotype Data: Captures haplotype and genotype information within extended data structures.
- Collaborative Clinical Variant Curation: Participates with BiSC and HUGO-MDI in establishing a central repository for clinical mutations and associated disease phenotypes.
Scientific Applications:
- Disease Genetics: Enables identification and comparison of variants implicated in common and Mendelian diseases.
- Pharmacogenomics: Supports analysis of genetic variants affecting drug response.
- Population Genetics: Facilitates studies of allele frequency distribution across populations.
- Genotype–Phenotype Correlation: Serves as a resource for linking clinical phenotypes to curated variant records.
- Experimental Design and Validation: Provides genotyping assays and functional predictions to inform experimental validation of variants.
Methodology:
Semi-automated data checking and fully automated annotation are used to ensure internal consistency, uniquely map variants to the draft genome sequence, and reference positions in EMBL/GenBank files.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- Perl, Visual Basic
- Added:
- 3/30/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Fredman D. HGVbase: a human sequence variation database emphasizing data quality and a broad spectrum of data sources. Nucleic Acids Research. 2002;30(1):387-391. doi:10.1093/nar/30.1.387. PMID:11752345. PMCID:PMC99093.