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Benchmarking methods integrating GWAS and single-cell transcriptomic data for mapping trait-cell type associations

2025-05-25

Abstract excerpt

Genome-wide association studies (GWAS) have discovered numerous trait-associated variants, but their biological context remains unclear. Integrating GWAS summary statistics with single-cell RNA-sequencing expression profiles can help identify the cell types in which these variants influence traits. Two main strategies have been developed to integrate these data types. The “single cell to GWAS” strategy (representi...

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Literature Corpus work
460ea4cf-c61a-5a36-a99f-559dc3dab941
DOI
10.1101/2025.05.24.25328275
Open publication

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Benchmarking methods integrating GWAS and single-cell transcriptomic data for mapping trait-cell type associationsDOI 10.1101/2025.05.24.25328275
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