Article

Spatially resolved mapping of cells associated with human complex traits

2024-11-04

Abstract excerpt

Depicting spatial distributions of disease-relevant cells is crucial for understanding disease pathology. Here, we present a method, gsMap, that integrates spatial transcriptomics (ST) data with genome-wide association study (GWAS) summary statistics to map cells to human complex traits, including diseases, in a spatially resolved manner. Using embryonic ST datasets covering 25 organs, we benchmarked gsMap through...

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Literature Corpus work: a8793dbb-7a13-511f-9207-e1be39727e1d
DOI: 10.1101/2024.10.31.24316538

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