This track displays structural variants (SVs) in dbVar that are not classified as common, somatic, or clinical. The track is defined by exclusion: it contains dbVar SVs minus
NCBI sometimes refers to this category as presumed normal SVs in their hub documentation and source files. We use the term Other here to avoid implying that the variants are clinically normal — the track is purely a residual bucket of dbVar SVs that don't fit the other three composites.
This track is updated with every monthly dbVar release.
The Other SVs are split into two subtracks:
The Healthy subtrack is considerably larger than the Phenotype subtrack. Turning on Hide empty subtracks (default) limits the display to subtracks with data in the current viewing window.
Variants are colored by type, using the dbVar color scheme described in the dbVar Overview page:
| Color | Variant Type(s) |
|---|---|
| deletion, delins, copy number loss | |
| duplication, copy number gain, insertion | |
| copy number variation | |
| inversion | |
| complex substitution | |
| tandem duplication | |
| sequence alteration |
Mouseover on items shows gene(s) affected, size, variant type, dbVar study of origin, discovery method, phenotype (in the Phenotype subtrack), and population code (if available).
Subtracks can be filtered by:
Per NCBI's dbVar processing pipeline, variant calls are extracted from the
variant_calls.gvf files on the dbVar FTP site, reciprocally overlapped with the
pathogenic clinical SV file using bedtools, filtered by the exclusion criteria described above,
and converted to bigBed format. See the
dbVar
Overview for full methods.
The raw data can be explored interactively with the Table Browser, or the Data Integrator. Due to the size of the Healthy subtrack (over 5 million items), Table Browser queries on large regions may be slow — narrow by chromosome or region where possible.
The data can also be downloaded from the dbVar Track Hub. For questions about dbVar track data, please contact dbvar@ncbi.nlm.nih.gov.
Thanks to the dbVar team at NCBI, especially John Lopez and Timothy Hefferon for technical coordination and consultation.
Lappalainen I, Lopez J, Skipper L, Hefferon T, Spalding JD, Garner J, Chen C, Maguire M, Corbett M, Zhou G et al. DbVar and DGVa: public archives for genomic structural variation. Nucleic Acids Res. 2013 Jan;41(Database issue):D936-41. PMID: 23193291; PMC: PMC3531204