GWAS Atlas

GWAS Atlas provides a curated repository of genome-wide variant-trait associations across multiple plant and animal species to support genetic association and trait-mapping research.


Key Features:

  • Curated associations: Manually curated genome-wide variant-trait associations extracted from the scientific literature.
  • Data integration: Integration of association data from 254 scientific publications.
  • Association scope: Contains 75,467 variant-trait associations covering 614 traits.
  • Species coverage: Includes seven cultivated plant species (cotton, Japanese apricot, maize, rapeseed, rice, sorghum, soybean) and two domesticated animals (goat, pig).
  • Ontology annotation: Trait annotations use the Plant Trait Ontology and the Animal Trait Ontology for Livestock for structured classification.
  • Entity mapping: Associations are cataloged with mappings to variants, genes, traits, studies, and publications.

Scientific Applications:

  • Variant-trait exploration: Enable exploration of variant-trait associations to investigate complex biological processes.
  • Agronomic marker identification: Identify genetic markers associated with important crop and agronomic traits.
  • Livestock marker identification: Identify genetic markers associated with traits in goat and pig.
  • Breeding and trait improvement: Support marker-assisted breeding and trait-improvement efforts.

Methodology:

Associations were extracted and integrated from 254 publications, subjected to manual curation, annotated using the Plant Trait Ontology and the Animal Trait Ontology for Livestock, and cataloged with mappings to variants, genes, traits, studies, and publications.

Topics

Details

Added:
11/14/2019
Last Updated:
12/9/2020

Operations

Publications

Tian D, Wang P, Tang B, Teng X, Li C, Liu X, Zou D, Song S, Zhang Z. GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals. Nucleic Acids Research. 2019;48(D1):D927-D932. doi:10.1093/nar/gkz828. PMID:31566222. PMCID:PMC6943065.

PMID: 31566222
PMCID: PMC6943065
Funding: - Chinese Academy of Sciences: XDA19050302, XDB13040500 - National Key Research and Development Program of China: 2017YFC0907502 - National Natural Science Foundation of China: 31571358, 31671360, 31771465, 31871328 - CAS: 153F11KYSB20160008, XXH13505-05 - The Youth Innovation Promotion Association of Chinese Academy of Sciences: 2017141

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