Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile


General information

Full name: Genome Variation Map
Description: The Genome Variation Map (GVM) is a public data repository of genome variations, including single nucleotide polymorphisms and small insertions and deletions, with particular focuses on human as well as cultivated plants and domesticated animals.
Year founded: 2017
Last update: 2017-10-23
Version: 1.0
Real time : Checking...
Country/Region: China
Data type:
Data object:
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Contact information

University/Institution: Beijing Institute of Genomics, Chinese Academy of Sciences
Address: No.1 Beichen West Road, Chaoyang District, Beijing 100101, China
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Zhang Zhang
Contact email (PI/Helpdesk):


Genome Variation Map: a data repository of genome variations in BIG Data Center. [PMID: 29069473]
Song S, Tian D, Li C, Tang B, Dong L, Xiao J, Bao Y, Zhao W, He H, Zhang Z.

The Genome Variation Map (GVM; ) is a public data repository of genome variations. As a core resource in the BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, GVM dedicates to collect, integrate and visualize genome variations for a wide range of species, accepts submissions of different types of genome variations from all over the world and provides free open access to all publicly available data in support of worldwide research activities. Unlike existing related databases, GVM features integration of a large number of genome variations for a broad diversity of species including human, cultivated plants and domesticated animals. Specifically, the current implementation of GVM not only houses a total of ?4.9 billion variants for 19 species including chicken, dog, goat, human, poplar, rice and tomato, but also incorporates 8669 individual genotypes and 13 262 manually curated high-quality genotype-to-phenotype associations for non-human species. In addition, GVM provides friendly intuitive web interfaces for data submission, browse, search and visualization. Collectively, GVM serves as an important resource for archiving genomic variation data, helpful for better understanding population genetic diversity and deciphering complex mechanisms associated with different phenotypes. ? The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2018:46(D1) | 17 Citations (from Europe PMC, 2021-05-15)


All databases:
1315/5039 (73.923%)
Genotype phenotype and variation:
181/702 (74.359%)
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Record metadata

Created on: 2017-11-05
Curated by:
Dong Zou [2019-01-18]
lin liu [2017-11-06]
lin liu [2017-11-05]