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oai:repisalud.isciii.es:20.500.12105/254582025-12-18T13:01:52Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19608

00925njm 22002777a 4500 dc Rodriguez-Hernandez, Zulema author Gorski, Mathias author Tellez-Plaza, Maria author Schlosser, Pascal author Wuttke, Matthias author 2024-05-02 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. 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 metaGWASmanager: a toolbox for an automated workflow from phenotypes to meta-analysis in GWAS consortia