Spatial GWAS Atlas: a knowledgebase for decoding the genetic architecture of complex traits in spatial resolution.

ABSTRACT: Genome-wide association studies (GWAS) have identified a large number of variants linked to complex traits and diseases, most of which lie in noncoding regions and act in a tissue- and cell type-specific manner. However, how these genetic effects are distributed within the spatial architecture of tissues remains poorly understood. Spatial transcriptomics (ST) profiles gene expression while preserving spatial coordinates, offering a powerful way to localize genetic effects within tissue architecture. Here, we present the Spatial GWAS Atlas (https://zhaolab.cpl.ac.cn/spatialgwas), the first comprehensive resource systematically integrating GWAS summary statistics with ST data to map trait-associated cells at single-cell resolution with spatial context. By leveraging 3854 curated GWAS dataset

SUBMITTER: Kang H 

PROVIDER: S-EPMC12807776 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature