Genome Variation Map: a worldwide collection of genome variations across multiple species.

Cuiping Li, Dongmei Tian, Bixia Tang, Xiaonan Liu, Xufei Teng, Wenming Zhao, Zhang Zhang, Shuhui Song
Author Information
  1. Cuiping Li: China National Center for Bioinformation, Beijing 100101, China.
  2. Dongmei Tian: China National Center for Bioinformation, Beijing 100101, China.
  3. Bixia Tang: China National Center for Bioinformation, Beijing 100101, China.
  4. Xiaonan Liu: China National Center for Bioinformation, Beijing 100101, China.
  5. Xufei Teng: China National Center for Bioinformation, Beijing 100101, China.
  6. Wenming Zhao: China National Center for Bioinformation, Beijing 100101, China.
  7. Zhang Zhang: China National Center for Bioinformation, Beijing 100101, China.
  8. Shuhui Song: China National Center for Bioinformation, Beijing 100101, China.

Abstract

The Genome Variation Map (GVM; http://bigd.big.ac.cn/gvm/) is a public data repository of genome variations. It aims to collect and integrate genome variations for a wide range of species, accepts submissions of different variation types from all over the world and provides free open access to all publicly available data in support of worldwide research activities. Compared with the previous version, particularly, a total of 22 species, 115 projects, 55 935 samples, 463 429 609 variants, 66 220 associations and 56 submissions (as of 7 September 2020) were newly added in the current version of GVM. In the current release, GVM houses a total of ∼960 million variants from 41 species, including 13 animals, 25 plants and 3 viruses. Moreover, it incorporates 64 819 individual genotypes and 260 393 manually curated high-quality genotype-to-phenotype associations. Since its inception, GVM has archived genomic variation data of 43 754 samples submitted by worldwide users and served >1 million data download requests. Collectively, as a core resource in the National Genomics Data Center, GVM provides valuable genome variations for a diversity of species and thus plays an important role in both functional genomics studies and molecular breeding.

References

  1. Nucleic Acids Res. 2019 Jan 8;47(D1):D427-D432 [PMID: 30357350]
  2. Nucleic Acids Res. 2012 Jan;40(Database issue):D54-6 [PMID: 22009675]
  3. Nucleic Acids Res. 2012 Jan;40(Database issue):D130-5 [PMID: 22121212]
  4. Anim Genet. 2018 Apr;49(2):132-136 [PMID: 29388248]
  5. Nucleic Acids Res. 2020 Jan 8;48(D1):D1085-D1092 [PMID: 31624841]
  6. Eur J Hum Genet. 2020 Aug;28(8):1111-1123 [PMID: 32123326]
  7. Nucleic Acids Res. 2020 Jan 8;48(D1):D24-D33 [PMID: 31702008]
  8. Comp Funct Genomics. 2002;3(2):128-31 [PMID: 18628892]
  9. Nucleic Acids Res. 2018 Jan 4;46(D1):D944-D949 [PMID: 29069473]
  10. Nucleic Acids Res. 2018 Mar 16;46(5):2699 [PMID: 29425356]
  11. Nucleic Acids Res. 2001 Jan 1;29(1):308-11 [PMID: 11125122]
  12. Genome Biol. 2020 Jul 6;21(1):163 [PMID: 32631406]
  13. Nucleic Acids Res. 2014 Jan;42(Database issue):D26-31 [PMID: 24225321]
  14. Yi Chuan. 2020 Feb 20;42(2):212-221 [PMID: 32102777]
  15. Bioinformatics. 2010 Mar 1;26(5):589-95 [PMID: 20080505]
  16. Nat Commun. 2018 Jul 17;9(1):2648 [PMID: 30018292]
  17. Genome Biol. 2016 Jun 06;17(1):122 [PMID: 27268795]
  18. Genomics Proteomics Bioinformatics. 2020 Feb;18(1):1-4 [PMID: 32360769]
  19. Genome Res. 2010 Sep;20(9):1297-303 [PMID: 20644199]
  20. Nature. 2018 May;557(7703):43-49 [PMID: 29695866]
  21. Nucleic Acids Res. 2020 Jan 8;48(D1):D927-D932 [PMID: 31566222]
  22. Nucleic Acids Res. 2020 Jan 8;48(D1):D682-D688 [PMID: 31691826]
  23. Genomics Proteomics Bioinformatics. 2020 Apr;18(2):173-185 [PMID: 32619768]
  24. Genomics Proteomics Bioinformatics. 2017 Feb;15(1):14-18 [PMID: 28387199]
  25. Nucleic Acids Res. 2019 Jan 8;47(D1):D1005-D1012 [PMID: 30445434]
  26. Yi Chuan. 2018 Nov 20;40(11):1044-1047 [PMID: 30465538]
  27. Genomics Proteomics Bioinformatics. 2020 Apr;18(2):161-172 [PMID: 32683045]
  28. Nucleic Acids Res. 2020 Jan 8;48(D1):D659-D667 [PMID: 31584087]
  29. Nucleic Acids Res. 2019 Jan 8;47(D1):D330-D338 [PMID: 30395331]
  30. Cell. 2020 Jul 9;182(1):162-176.e13 [PMID: 32553274]

MeSH Term

Alleles
Animals
Chromosome Mapping
Databases, Genetic
Gene Frequency
Genetic Association Studies
Genetic Variation
Genome
Genomics
Genotype
Humans
Internet
Phenotype
Phylogeny
Plants
Software
Viruses

Links to CNCB-NGDC Resources

Database Commons: DBC002026 (GVM)

Word Cloud

Similar Articles

Cited By