GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals.

Dongmei Tian, Pei Wang, Bixia Tang, Xufei Teng, Cuiping Li, Xiaonan Liu, Dong Zou, Shuhui Song, Zhang Zhang
Author Information
  1. Dongmei Tian: National Genomics Data Center, Beijing 100101, China.
  2. Pei Wang: National Genomics Data Center, Beijing 100101, China.
  3. Bixia Tang: National Genomics Data Center, Beijing 100101, China.
  4. Xufei Teng: National Genomics Data Center, Beijing 100101, China.
  5. Cuiping Li: National Genomics Data Center, Beijing 100101, China.
  6. Xiaonan Liu: National Genomics Data Center, Beijing 100101, China.
  7. Dong Zou: National Genomics Data Center, Beijing 100101, China.
  8. Shuhui Song: National Genomics Data Center, Beijing 100101, China.
  9. Zhang Zhang: National Genomics Data Center, Beijing 100101, China.

Abstract

GWAS Atlas (https://bigd.big.ac.cn/gwas/) is a manually curated resource of genome-wide variant-trait associations for a wide range of species. Unlike existing related resources, it features comprehensive integration of a high-quality collection of 75 467 variant-trait associations for 614 traits across 7 cultivated plants (cotton, Japanese apricot, maize, rapeseed, rice, sorghum and soybean) and two domesticated animals (goat and pig), which were manually curated from 254 publications. We integrated these associations into GWAS Atlas and presented them in terms of variants, genes, traits, studies and publications. More importantly, all associations and traits were annotated and organized based on a suite of ontologies (Plant Trait Ontology, Animal Trait Ontology for Livestock, etc.). Taken together, GWAS Atlas integrates high-quality curated GWAS associations for animals and plants and provides user-friendly web interfaces for data browsing and downloading, accordingly serving as a valuable resource for genetic research of important traits and breeding application.

References

  1. Eur J Hum Genet. 2014 Jul;22(7):949-52 [PMID: 24301061]
  2. Science. 2005 Apr 15;308(5720):385-9 [PMID: 15761122]
  3. Front Physiol. 2012 Aug 25;3:326 [PMID: 22934074]
  4. Nucleic Acids Res. 2018 Jan 4;46(D1):D1150-D1156 [PMID: 29059333]
  5. Plant J. 2019 Jan;97(1):8-18 [PMID: 30368955]
  6. J Anim Sci. 2012 Jun;90(6):2061-6 [PMID: 22228038]
  7. J Anim Sci. 2008 Jun;86(6):1485-91 [PMID: 18272850]
  8. Nucleic Acids Res. 2019 Jan 8;47(D1):D8-D14 [PMID: 30365034]
  9. Nucleic Acids Res. 2019 Jan 8;47(D1):D1005-D1012 [PMID: 30445434]
  10. PLoS Comput Biol. 2012;8(12):e1002822 [PMID: 23300413]
  11. Nucleic Acids Res. 2014 Jan;42(Database issue):D1001-6 [PMID: 24316577]
  12. Nucleic Acids Res. 2018 Jan 4;46(D1):D944-D949 [PMID: 29069473]
  13. Nucleic Acids Res. 2016 Jan 4;44(D1):D869-76 [PMID: 26615194]
  14. Nucleic Acids Res. 2012 Jan;40(Database issue):D1047-54 [PMID: 22139925]
  15. Cell. 2016 Jul 14;166(2):481-491 [PMID: 27293186]
  16. Genomics Proteomics Bioinformatics. 2018 Dec;16(6):397-404 [PMID: 30771506]
  17. Nucleic Acids Res. 2018 Jan 4;46(D1):D1254-D1260 [PMID: 29161421]
  18. Mol Plant. 2017 Mar 6;10(3):359-374 [PMID: 28039028]
  19. Nucleic Acids Res. 2018 Jan 4;46(D1):D1168-D1180 [PMID: 29186578]
  20. Nucleic Acids Res. 2015 Jan;43(Database issue):D1042-8 [PMID: 25378340]
  21. Nucleic Acids Res. 2017 Jan 4;45(D1):D896-D901 [PMID: 27899670]

MeSH Term

Animals
Databases, Genetic
Genetic Variation
Genome-Wide Association Study
Genomics
Plants
Quantitative Trait Loci
Quantitative Trait, Heritable
Software
User-Computer Interface
Web Browser

Links to CNCB-NGDC Resources

Database Commons: DBC004227 (GWAS Atlas)

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