| URL: | https://aragwas.1001genomes.org |
| Full name: | Arabidopsis thaliana GWAS catalog |
| Description: | The AraGWAS Catalog is a public and manually curated database for standardised GWAS results for Arabidopsis thaliana. This Database allows to search and filter for public GWASs, phenotypes and genes and to obtain additional meta-information. All GWASs were recomputed following a uniformed methodology to allow for comparable results. |
| Year founded: | 2018 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
|
| Country/Region: | Switzerland |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | ETH Zurich |
| Address: | Machine Learning and Computational Biology Lab, Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland |
| City: | Basel |
| Province/State: | |
| Country/Region: | Switzerland |
| Contact name (PI/Team): | Dominik G Grimm |
| Contact email (PI/Helpdesk): | dominik.grimm@bsse.ethz.ch |
|
The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog. [PMID: 29059333]
The abundance of high-quality genotype and phenotype data for the model organism Arabidopsis thaliana enables scientists to study the genetic architecture of many complex traits at an unprecedented level of detail using genome-wide association studies (GWAS). GWAS have been a great success in A. thaliana and many SNP-trait associations have been published. With the AraGWAS Catalog (https://aragwas.1001genomes.org) we provide a publicly available, manually curated and standardized GWAS catalog for all publicly available phenotypes from the central A. thaliana phenotype repository, AraPheno. All GWAS have been recomputed on the latest imputed genotype release of the 1001 Genomes Consortium using a standardized GWAS pipeline to ensure comparability between results. The catalog includes currently 167 phenotypes and more than 222 000 SNP-trait associations with P < 10-4, of which 3887 are significantly associated using permutation-based thresholds. The AraGWAS Catalog can be accessed via a modern web-interface and provides various features to easily access, download and visualize the results and summary statistics across GWAS. |