| URL: | http://dgv.tcag.ca/dgv/app/home |
| Full name: | Database of Genomic Variants |
| Description: | DGV provided a publicly accessible, comprehensive curated catalogue of structural variation (SV) found in the genomes of control individuals from worldwide populations. The objective of the Database of Genomic Variants is to provide a comprehensive summary of structural variation in the human genome. We define structural variation as genomic alterations that involve segments of DNA that are larger than 50bp. The content of the database is only representing structural variation identified in healthy control samples. The Database of Genomic Variants provides a useful catalog of control data for studies aiming to correlate genomic variation with phenotypic data. The database is continuously updated with new data from peer reviewed research studies. |
| Year founded: | 2014 |
| Last update: | 2016-05-15 |
| Version: | v2.0 |
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| Country/Region: | Canada |
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| University/Institution: | University of Toronto |
| Address: | The Centre for Applied Genomics,Peter Gilgan Centre for Research and Learning,The Hospital for Sick Children,686 Bay Street,Toronto,Ontario M5G 0A4,Canada |
| City: | Toronto |
| Province/State: | Ontario |
| Country/Region: | Canada |
| Contact name (PI/Team): | Stephen W. Scherer |
| Contact email (PI/Helpdesk): | stephen.scherer@sickkids.ca |
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The Database of Genomic Variants: a curated collection of structural variation in the human genome. [PMID: 24174537]
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. |