Fig. 1
From: Optimized summary-statistic-based single-cell eQTL meta-analysis
Workflow and weighting strategies for meta-analysis of single-cell eQTL data. (a) The general workflow for weighted meta-analysis. (b) The cohort-, gene-, SNP-, and eQTL-specific weights used in the meta-analysis. (c, d) Description of the (c) peripheral blood mononuclear cell (PBMC) and (d) induced pluripotent stem cell (iPSC) datasets used in the analysis. The PBMC data consists of five single-cell datasets (n = 187 donors: 141 with 10X V2 and 46 with 10X V3 chemistry). The iPSC data consists of two single-cell datasets (n = 87 donors: 87 Smart-Seq2 and 25 donor-matched 10X V2). To analyze independent sample sets and test for the effects of combining smaller datasets, we split the 87 Smart-Seq2 samples into Set A (62 non-10X-matched samples) and Set C (25 10X-matched samples). Set A was further split into a smaller set of 25 non-10X-matched samples (Set D).
