ArticleNucleic acids research2023
GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Adoption of Standard Reference SNP Identifiers in Agricultural Genomics for Interoperability and Data Reuse.Scientific data · 2026Article
- Decoding Complex Traits in Goats Through Genome-Wide Association Studies: Progress, Challenges, and Perspectives.International journal of molecular sciences · 2026Review
- Gene-by-Sleep Duration Interaction for Glycemic Traits in over 480,000 Individuals.medRxiv : the preprint server for health sciences · 2026Article
- The SynMall resource for characterizing the functional impact of synonymous variation.Genome research · 2026Article
- Genome Variation Map: a platform for the analysis and integration of genomic variation.Nucleic acids research · 2026Article
- Employing AlphaFold and TED to explore the structural impacts of stress-associated mutations in rice.Bioinformatics advances · 2026Article
- Interactive effects of genotype with prenatal stress on DNA methylation at birth.Molecular psychiatry · 2025Article
- Hybrids reveal accessible chromatinbioRxiv : the preprint server for biology · 2025Article
- A trans-species cytoplasmic polymorphism is associated with seed shape and aridity across multiple species of sunflowers.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Characterizing aging-related genetic and physiological determinants of spinal curvature.Communications medicine · 2025Article
- Whole-genome Sequencing Association Analysis of Quantitative Platelet Traits in A Large Cohort of β-thalassemia.Genomics, proteomics & bioinformatics · 2025Article
- Pangenome Reveals Gene Content Variations and Structural Variants Contributing to Pig Characteristics.Genomics, proteomics & bioinformatics · 2025Article
- Review of protein structure-based analyses that illuminate plant stress mechanisms.Computational and structural biotechnology journal · 2025Review
- RiceSNP-ABST: a deep learning approach to identify abiotic stress-associated single nucleotide polymorphisms in rice.Briefings in bioinformatics · 2024Article
- The 1000 Chinese Indigenous Pig Genomes Project provides insights into the genomic architecture of pigs.Nature communications · 2024Article
- RiceSNP-BST: a deep learning framework for predicting biotic stress-associated SNPs in rice.Briefings in bioinformatics · 2024Article
- An overview of recent technological developments in bovine genomics.Veterinary and animal science · 2024Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
GWAS Atlas (https://ngdc.cncb.ac.cn/gwas/) is a manually curated resource of genome-wide genotype-to-phenotype associations for a wide range of species. Here, we present an updated implementation of GWAS Atlas by curating and incorporating more high-quality associations, with significant improvements and advances over the previous version. Specifically, the current release of GWAS Atlas incorporates a total of 278,109 curated genotype-to-phenotype associations for 1,444 different traits across 15 species (10 plants and 5 animals) from 830 publications and 3,432 studies. A collection of 6,084 lead SNPs of 439 traits and 486 experiment-validated causal variants of 157 traits are newly added. Moreover, 1,056 trait ontology terms are newly defined, resulting in 1,172 and 431 terms for Plant Phenotype and Trait Ontology and Animal Phenotype and Trait Ontology, respectively. Additionally, it is equipped with four online analysis tools and a submission platform, allowing users to perform data analysis and data submission. Collectively, as a core resource in the National Genomics Data Center, GWAS Atlas provides valuable genotype-to-phenotype associations for a diversity of species and thus plays an important role in agronomic trait study and molecular breeding.
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Registered trials
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