ArticleThe Plant cell2017
easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies.
Article in The Plant cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction.The New phytologist · 2026Article
- siRNA-guided DNA-methylation at a sucrose transporter gene potentially contributes to climatic plant adaptation.PLoS biology · 2026Article
- CartograPlant: bridging genomic, phenotypic, and environmental data to advance plant resilience and eco-evolutionary insight.Genetics · 2026Article
- GWA Study Identifies Two Positive Regulators of Mycotoxin Fumonisin B1 Tolerance in Arabidopsis.Genes · 2026Article
- TheProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Identification of a novel link connecting indole-3-acetamide with abscisic acid biosynthesis and signaling.The New phytologist · 2026Article
- Gene body methylation regulates gene expression and mediates phenotypic diversity in natural Arabidopsis populations.Nature plants · 2025Article
- Sparse multitask group Lasso for genome-wide association studies.PLoS computational biology · 2025Article
- Loss-of-function variants of CYP706A3 in two natural accessions of Arabidopsis thaliana increase floral sesquiterpene emission.BMC plant biology · 2025Article
- Enhancing genomic prediction inFrontiers in bioinformatics · 2025Article
- Environmental genome-wide association studies across precipitation regimes reveal that the E3 ubiquitin ligase MBR1 regulates plant adaptation to rainy environments.Plant communications · 2024Article
- The benefits of permutation-based genome-wide association studies.Journal of experimental botany · 2024Article
- Prediction of plant complex traits via integration of multi-omics data.Nature communications · 2024Article
- Two adjacent NLR genes conferring quantitative resistance to clubroot disease in Arabidopsis are regulated by a stably inherited epiallelic variation.Plant communications · 2024Article
- CropGS-Hub: a comprehensive database of genotype and phenotype resources for genomic prediction in major crops.Nucleic acids research · 2024Article
- Population-aware permutation-based significance thresholds for genome-wide association studies.Bioinformatics advances · 2024Article
- Article
- INSurVeyor: improving insertion calling from short read sequencing data.Nature communications · 2023Article
- Plant-herbivore interactions: Experimental demonstration of genetic variability in plant-plant signalling.Evolutionary applications · 2023Article
- Predicting Gene Regulatory Interactions Using Natural Genetic Variation.Methods in molecular biology (Clifton, N.J.) · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ever-growing availability of high-quality genotypes for a multitude of species has enabled researchers to explore the underlying genetic architecture of complex phenotypes at an unprecedented level of detail using genome-wide association studies (GWAS). The systematic comparison of results obtained from GWAS of different traits opens up new possibilities, including the analysis of pleiotropic effects. Other advantages that result from the integration of multiple GWAS are the ability to replicate GWAS signals and to increase statistical power to detect such signals through meta-analyses. In order to facilitate the simple comparison of GWAS results, we present easyGWAS, a powerful, species-independent online resource for computing, storing, sharing, annotating, and comparing GWAS. The easyGWAS tool supports multiple species, the uploading of private genotype data and summary statistics of existing GWAS, as well as advanced methods for comparing GWAS results across different experiments and data sets in an interactive and user-friendly interface. easyGWAS is also a public data repository for GWAS data and summary statistics and already includes published data and results from several major GWAS. We demonstrate the potential of easyGWAS with a case study of the model organism
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.