GENEasso: a curated resource of credible disease-gene associations across complex diseases from GWAS summary statistics.

ABSTRACT: Gene-based association analysis has become a powerful strategy to improve the biological interpretability of genome-wide association studies (GWAS) by aggregating variant-level signals at the gene level. Although several transcriptome-wide association study (TWAS)-specific databases have been developed, TWAS represents only one class of gene-based association methods and relies primarily on expression-mediated effects, whereas other gene-based approaches also play critical roles in identifying disease-associated genes. To address this limitation, we present GENEasso, a comprehensive platform that integrates multiple gene-level statistical frameworks to enable robust exploration of disease-gene associations across complex diseases. GENEasso systematically applies seven representative method

SUBMITTER: Jiang T 

PROVIDER: S-EPMC12807607 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature