Extended Data Fig. 6: eQTL mapping strategies and sharing between eQTL maps. | Nature Genetics

Extended Data Fig. 6: eQTL mapping strategies and sharing between eQTL maps.

From: Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation

Extended Data Fig. 6

a, Distribution of the number of cells per cell line with scRNA-seq available for eQTL mapping for each context (cell type-condition). Dots correspond to individual cell lines (number of cell line per context ranging between 104 and 173). b, Number of genes with at least one eQTL (that is eGenes) for each context (cell type-condition) detected using either a traditional linear model (coral) or using a linear mixed model that accounts for heterostochastic noise due to variation in the number of cells assayed for each line (seagreen; Methods). c, Sharing of eQTL signal between 14 eQTL maps across all contexts (cell type-conditions), as estimated using MASHR (Methods). d, Distribution of the number of contexts (cell type-conditions) in which a given eQTL is identified (from 1 to 14, lfsr < 0.05, quantified using MASHR). Legend: Astro: Astrocytes-like; DA: Dopaminergic neurons, Epen1: Ependymal-like1, FPP: Floor Plate Progenitors, P_FPP: Proliferating Floor Plate Progenitors, Sert: Serotonergic-like neurons.

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