DGV Struct Var Track Settings
 
Database of Genomic Variants: Structural Variation (CNV, Inversion, In/del)   (All Variation tracks)

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 DGV Struct Var  Database of Genomic Variants: Structural Variant Regions (CNV, Inversion, In/del)   schema 
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 DGV Supp Var  Database of Genomic Variants: Supporting Structural Variants (CNV, Inversion, In/del)   schema 
Data version: July 23, 2013

Description

This track displays copy number variants (CNVs), insertions/deletions (InDels), inversions and inversion breakpoints annotated by the Database of Genomic Variants (DGV), which contains genomic variations observed in healthy individuals. DGV focuses on structural variation, defined as genomic alterations that involve segments of DNA that are larger than 1000 bp. Insertions/deletions of 50 bp or larger are also included.

Display Conventions

This track contains two subtracks:

  • Structural Variant Regions: annotations that have been generated from one or more reported structural variants at the same location.
  • Supporting Structural Variants: the sample-level reported structural variants.

Color is used in both subtracks to indicate the type of variation:

  • Inversions and inversion breakpoints are purple.
  • CNVs and InDels are blue if there is a gain in size relative to the reference.
  • CNVs and InDels are red if there is a loss in size relative to the reference.
  • CNVs and InDels are brown if there are reports of both a loss and a gain in size relative to the reference.

Clicking on a variant leads to a page with detailed information about the variant, such as the study reference and PubMed abstract link, the study's method and any genes overlapping the variant. Also listed, if available, are the sequencing or array platform used for the study, a sample cohort description, sample size, sample ID(s) in which the variant was observed, observed gains and observed losses. If the particular variant is a merged variant, links to genome browser views of the supporting variants are listed. If the particular variant is a supporting variant, a link to the genome browser view of its merged variant is displayed. A link to DGV's Variant Details page for each variant is also provided.

For most variants, DGV uses accessions from peer archives of structural variation (dbVar at NCBI or DGVa at EBI). These accessions begin with either "essv", "esv", "nssv", or "nsv", followed by a number. Variant submissions processed by EBI begin with "e" and those processed by NCBI begin with "n".

Accessions with ssv are for variant calls on a particular sample, and if they are copy number variants, they generally indicate whether the change is a gain or loss. In a few studies the ssv represents the variant called by a single algorithm. If multiple algorithms were used, overlapping ssv's from the same individual would be combined to generate a sample level sv.

If there are many samples analyzed in a study, and if there are many samples which have the same variant, there will be multiple ssv's with the same start and end coordinates. These sample level variants are then merged and combined to form a representative variant that highlights the common variant found in that study. The result is called a structural variant (sv) record. Accessions with sv are for regions asserted by submitters to contain structural variants, and often span ssv elements for both losses and gains. dbVar and DGVa do not record numbers of losses and gains encompassed within sv regions.

DGV merges clusters of variants that share at least 70% reciprocal overlap in size/location, and assigns an accession beginning with "dgv", followed by an internal variant serial number, followed by an abbreviated study id. For example, the first merged variant from the Shaikh et al. 2009 study (study accession=nstd21) would be dgv1n21. The second merged variant would be dgv2n21 and so forth. Since in this case there is an additional level of clustering, it is possible for an "sv" variant to be both a merged variant and a supporting variant.

For most sv and dgv variants, DGV displays the total number of sample-level gains and/or losses at the bottom of their variant detail page. Since each ssv variant is for one sample, its total is 1.

Methods

Published structural variants are imported from peer archives dbVar and DGVa. DGV then applies quality filters and merges overlapping variants.

For data sets where the variation calls are reported at a sample-by-sample level, DGV merges calls with similar boundaries across the sample set. Only variants of the same type (i.e. CNVs, Indels, inversions) are merged, and gains and losses are merged separately. Sample level calls that overlap by ≥ 70% are merged in this process.

Credits

Thanks to the Database of Genomic Variants for providing these data. In citing the Database of Genomic Variants please refer to MacDonald et al.

References

MacDonald JR, Ziman R, Yuen RK, Feuk L, Scherer SW. The database of genomic variants: a curated collection of structural variation in the human genome. Nucleic Acids Res. 2013 Oct 29;[Epub ahead of print]. PMID: 24174537.

Iafrate AJ, Feuk L, Rivera MN, Listewnik ML, Donahoe PK, Qi Y, Scherer SW, Lee C. Detection of large-scale variation in the human genome. Nat Genet. 2004 Sep;36(9):949-51. PMID:15286789.

Zhang J, Feuk L, Duggan GE, Khaja R, Scherer SW. Development of bioinformatics resources for display and analysis of copy number and other structural variants in the human genome. Cytogenet Genome Res. 2006;115(3-4):205-14. PMID:17124402.