2026-06-14T05:08:09Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/254582025-12-18T13:01:52Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608
Repisalud
author
Rodriguez-Hernandez, Zulema
author
Gorski, Mathias
author
Tellez-Plaza, Maria
author
Schlosser, Pascal
author
Wuttke, Matthias
funder
Deutsche Forschungsgemeinschaft (Alemania)
funder
National Institutes of Health (Estados Unidos)
funder
Agencia Estatal de Investigación (España)
funder
Ministerio de Ciencia e Innovación (España)
funder
European Molecular Biology Organization
2024-11-08T09:09:31Z
2024-11-08T09:09:31Z
2024-05-02
Bioinformatics. 2024 May 2;40(5):btae294.
10.1093/bioinformatics/btae294
1367-4811
1367-4803
Bioinformatics (Oxford, England)
38688567
https://hdl.handle.net/20.500.12105/25458
Summary: This article introduces the metaGWASmanager, which streamlines genome-wide association studies within large-scale meta-analysis consortia. It is a toolbox for both the central consortium analysis group and participating studies to generate homogeneous phenotypes, minimize unwanted variability from inconsistent methodologies, ensure high-quality association results, and implement time-efficient quality control workflows. The toolbox features a plug-in-based approach for customization of association testing. Results: The metaGWASmanager toolbox has been successfully deployed in both the CKDGen and MetalGWAS Initiative consortia across hundreds of participating studies, demonstrating its effectiveness in GWAS analysis optimization by automating routine tasks and ensuring the value and reliability of association results, thus, ultimately promoting scientific discovery. We provide a simulated data set with examples for script customization so that readers can reproduce the pipeline at their convenience. Availability and implementation: GitHub: https://github.com/genepi-freiburg/metaGWASmanager.
eng
metaGWASmanager: a toolbox for an automated workflow from phenotypes to meta-analysis in GWAS consortia
research article
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URL
https://repisalud.isciii.es/bitstreams/2cafd1bf-66c4-4122-bd2f-d336914eec28/download
File
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metaGWASmanagerToolboxAutomated_2024.pdf
URL
https://repisalud.isciii.es/bitstreams/dbc1cebe-d6f6-4bf1-8065-c7b9122fac2c/download
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Supplementary_metaGWASmanagerToolboxAutomated_2024.pdf