Multiomic iPSCORE QTLs

This collection contains processed data from "Multiomic QTL mapping reveals phenotypic complexity of GWAS loci and prioritizes putative causal variants" Arthur and Nguyen et al, 2025, Cell Genomics. 

In this study, we identified quantitative trait loci (QTLs) that affect gene expression (eQTLs), chromatin accessibility (caQTLs), and histone acetylation (haQTLs), using RNA-seq, ATAC-seq, and H3K27ac ChIP-seq, respectively, generated from induced pluripotent stem cells (iPSCs), and derived cardiovascular progenitor cells (CVPCs), and pancreatic progenitors (PPCs).

There are six items in this collection, including:

1) Summary statistics for the QTL analyses

2) Results from an analysis to identify temporal regulatory variation using mashr

3) Coordinate information for ATAC-seq and H3K27ac ChIP-seq peaks

4) Phenotype count matrices for the eight datasets

5) Bayesian QTL-GWAS Colocalization results

6) Transcription factor predictions in ATAC-seq peaks

Please see the descriptions in the individual items for more detail.