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. 2025 Oct 30;54(D1):D1415–D1424. doi: 10.1093/nar/gkaf1097

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© The Author(s) 2025. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 1. — Overview of the GENEasso platform and analytical workflow. (A) GWAS summary statistics were collected from two major sources and then preprocessed to ensure data quality and standardized through trait, rsID, and population mapping. (B) Seven gene-based association methods, including PASCAL, MAGMA, SMR, DEPICT, CWAS, RWAS, and LDAK-GBAT, were applied to analyze the GWAS summary statistics. Tissue-specific enrichment analysis was performed using deTS. (C) The database module of GENEasso stores curated disease–gene associations and supports interactive exploration. (D) The web server module of GENEasso enables user-submitted analyses with customized pipelines.