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Fig. 1 | Genome Medicine

Fig. 1

From: Integrating single-cell sequencing data with GWAS summary statistics reveals CD16+monocytes and memory CD8+T cells involved in severe COVID-19

Fig. 1

The workflow for this integrative genomic analysis. A Combination of single-cell RNA sequencing data and GWAS summary statistics on severe COVID-19 based on two independent methods. One method is the regression-based polygenic model based on whole scRNA-seq profiles, and another is the generalized linear regression model based on the top 10% most specific genes for each cell type. B An increase in genetics-risk genes and cytokines for severe COVID-19. C Cellular interaction analysis of genetics-influenced immune cell subsets with epithelial cells

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