We developed scMORE (single-cell multiomics regulon enrichment), a computational framework that integrates single-cell multiomics with genome-wide association study summary statistics to identify transcription factor–chromatin–gene regulatory networks (eRegulons) that underlie complex diseases. Applying scMORE to 31 traits (including Parkinson’s disease), we investigated immune- and aging-associated eRegulons, and revealed how genetic variants shape cell-type-specific regulatory programs.
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References
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This is a summary of: Ma, Y. et al. Integrating polygenic signals and single-cell multiomics identifies cell-type-specific regulomes critical for immune- and aging-related diseases. Nat. Aging https://doi.org/10.1038/s43587-025-01027-5 (2025).
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Linking single-cell multiomics with GWAS to reveal key regulators of disease risk. Nat Aging 6, 36–37 (2026). https://doi.org/10.1038/s43587-025-01047-1
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DOI: https://doi.org/10.1038/s43587-025-01047-1
