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Linking Genetic Risk to Disease-Relevant Cellular States via Metacell-Informed Modeling with ICePop

2026-04-03

Abstract excerpt

Genome-wide association studies (GWAS) have implicated thousands of loci in complex diseases, but translating these population-level signals into specific cellular contexts remains a central challenge. Integrating GWAS with single-cell transcriptomics data has enabled systematic identification of disease-relevant cell types, yet existing methods face a fundamental tradeoff: approaches like seismic that optimized f...

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Literature Corpus work
3ca81d4c-0d5c-5c7c-a91b-2fd845d0068f
DOI
10.64898/2026.04.01.715877
Open publication

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Linking Genetic Risk to Disease-Relevant Cellular States via Metacell-Informed Modeling with ICePopDOI 10.64898/2026.04.01.715877
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