Rodriguez-Hernandez, Zulema and Gorski, Mathias and Tellez-Plaza, Maria and Schlosser, Pascal and Wuttke, Matthias (2024) metaGWASmanager: a toolbox for an automated workflow from phenotypes to meta-analysis in GWAS consortia. BIOINFORMATICS, 40 (5): btae294. ISSN 1367-4803, 1367-4811
Full text not available from this repository. (Request a copy)Abstract
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
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | WIDE ASSOCIATION; KIDNEY-FUNCTION; INSIGHTS |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Epidemiologie und Präventivmedizin > Lehrstuhl für Genetische Epidemiologie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 26 Nov 2025 09:04 |
| Last Modified: | 26 Nov 2025 09:04 |
| URI: | https://pred.uni-regensburg.de/id/eprint/65180 |
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