Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Jan;42(Database issue):D986-92.
doi: 10.1093/nar/gkt958. Epub 2013 Oct 29.

The Database of Genomic Variants: a curated collection of structural variation in the human genome

Affiliations

The Database of Genomic Variants: a curated collection of structural variation in the human genome

Jeffrey R MacDonald et al. Nucleic Acids Res. 2014 Jan.

Abstract

Over the past decade, the Database of Genomic Variants (DGV; http://dgv.tcag.ca/) has provided a publicly accessible, comprehensive curated catalogue of structural variation (SV) found in the genomes of control individuals from worldwide populations. Here, we describe updates and new features, which have expanded the utility of DGV for both the basic research and clinical diagnostic communities. The current version of DGV consists of 55 published studies, comprising >2.5 million entries identified in >22,300 genomes. Studies included in DGV are selected from the accessioned data sets in the archival SV databases dbVar (NCBI) and DGVa (EBI), and then further curated for accuracy and validity. The core visualization tool (gbrowse) has been upgraded with additional functions to facilitate data analysis and comparison, and a new query tool has been developed to provide flexible and interactive access to the data. The content from DGV is regularly incorporated into other large-scale genome reference databases and represents a standard data resource for new product and database development, in particular for copy number variation testing in clinical labs. The accurate cataloguing of variants in DGV will continue to enable medical genetics and genome sequencing research.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Content of the DGV. Increase in variants reported in DGV since inception, highlighting the recent transition towards NGS-based approaches for variant discovery (numbers based on year of publication).
Figure 2.
Figure 2.
Functionality and navigation options for accessing entries in DGV. (A) An example of search options available in the DGV query tool, which identify sample level deletions in study nstd65 mapped to the GRCh37 assembly. (B) Links for each variant in the query tool result, allow for navigation to the variant details page, which includes a summary of all available attributes. (C) Links from the variant details page provide access to the genome browser to allow for evaluation of selected variants in their respective genomic region.
Figure 2.
Figure 2.
Functionality and navigation options for accessing entries in DGV. (A) An example of search options available in the DGV query tool, which identify sample level deletions in study nstd65 mapped to the GRCh37 assembly. (B) Links for each variant in the query tool result, allow for navigation to the variant details page, which includes a summary of all available attributes. (C) Links from the variant details page provide access to the genome browser to allow for evaluation of selected variants in their respective genomic region.

Similar articles

Cited by

References

    1. Lee C, Scherer SW. The clinical context of copy number variation in the human genome. Expert Rev. Mol. Med. 2010;12:e8. - PubMed
    1. Pang AW, MacDonald JR, Pinto D, Wei J, Rafiq MA, Conrad DF, Park H, Hurles ME, Lee C, Venter JC, et al. Towards a comprehensive structural variation map of an individual human genome. Genome Biol. 2010;11:R52. - PMC - PubMed
    1. Feuk L, Carson AR, Scherer SW. Structural variation in the human genome. Nat. Rev. Genet. 2006;7:85–97. - PubMed
    1. 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;36:949–951. - PubMed
    1. Sebat J, Lakshmi B, Troge J, Alexander J, Young J, Lundin P, Maner S, Massa H, Walker M, Chi M, et al. Large-scale copy number polymorphism in the human genome. Science. 2004;305:525–528. - PubMed

Publication types