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DPCGS: a computational framework for linking GWAS to single-cell transcriptomics in complex traits and diseases

2026-07-20

Abstract excerpt

Complex traits and diseases arise from the interplay between genetic variation and cellular heterogeneity, making it essential to understand how genetic risk manifests at the cellular level. However, connecting genome-wide association studies (GWAS) to specific cell populations remains challenging due to cellular complexity and the prevalence of noncoding variants. Here, we present DPCGS, a computational framework...

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Literature Corpus work
7fd3af17-e9b0-5c05-8658-89a1e99ec1f7
DOI
10.64898/2026.07.14.738331
Open publication

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