CIGMA We developed CIGMA to unbiasedly quantify cell-type-shared and cell-type-specific eQTLs in scRNA-seq data. CIGMA avoids bias from eQTL detection power by using a linear mixed model, similar to the GREML model of complex trait heritability12. CIGMA models cell-type-specific pseudobulk data, which is computed by averaging across all cells in predefined cell types, one gene