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The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-158727
  • 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 theThe 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.zeige mehrzeige weniger

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Metadaten
Autor(en): Matteo Togninalli, Ümit Seren, Dazhe Meng, Joffrey Fitz, Magnus Nordborg, Detlef Weigel, Karsten Borgwardt, Arthur Korte, Dominik G. Grimm
URN:urn:nbn:de:bvb:20-opus-158727
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Fakultät für Biologie / Center for Computational and Theoretical Biology
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Nucleic Acids Research
Erscheinungsjahr:2018
Band / Jahrgang:46
Heft / Ausgabe:D1
Seitenangabe:D1150–D1156
Originalveröffentlichung / Quelle:Nucleic Acids Research, 2018, 46:D1, D1150-D1156. DOI: 10.1093/nar/gkx954
DOI:https://doi.org/10.1093/nar/gkx954
Allgemeine fachliche Zuordnung (DDC-Klassifikation):5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Freie Schlagwort(e):genotype; model organism; phenotype
Datum der Freischaltung:26.03.2018
Sammlungen:Open-Access-Publikationsfonds / Förderzeitraum 2017
Lizenz (Deutsch):License LogoCC BY-NC: Creative-Commons-Lizenz: Namensnennung, Nicht kommerziell 4.0 International