GoKawiilCIGMA tool maps how gene expression variants differ across individual cell types
Researchers introduced CIGMA, a statistical method that uses a linear mixed model to separate genetic effects on gene expression into components shared across cell types and components specific to individual cell types, applied to single-cell RNA sequencing data. The model uses cell-type-level pseudobulk expression averaged from single-cell data, requiring more than 10 cells per individual per cell type, and explicitly accounts for cell-to-cell noise within each individual and cell type.
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Most genetic studies of gene expression have historically treated tissues as uniform, missing how regulatory effects vary between specific cell populations. By cleanly separating shared from cell-type-specific genetic effects while controlling for detection power and measurement noise, this approach could sharpen the link between genetic variants, cell biology and complex disease traits, informing more precise interpretations of GWAS findings.
- CIGMA statistically decomposes eQTL effects into cell-type-shared and cell-type-specific components
- The method models pseudobulk expression while explicitly subtracting cell-to-cell noise per individual and cell type
- It requires a minimum of 10 cells per individual per cell type to ensure reliable estimates
Statistical Genomics textbook: "Handbook of Statistical Genomics — If this eQTL heritability modeling piqued your interest, this handbook is a deep reference on the linear mixed models and variance-component methods (like GREML) that underpin approaches such as CIGMA. It's a solid desk companion for anyone working through single-cell genetics and complex trait architecture.
See Statistical Genomics textbook: "Handbook of Statistical Genomics on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: nature.com — Chen, 2026-08-26
Published there as: “Cell-type-specific eQTLs underlie the genetic architecture of complex traits”
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