Single-cell splicing analysis with ISSAC links cell type-specific and cell state-dependent sQTLs to neurological disorders
This link deposits summary statistics of sQTLs with Pvalue, effect size and standard deviation detected from both major cell type and sub cell type snRNA-seq cohorts integrating CUIMC1 and MIT resources. ISSAC, a site-based sQTL mapping framework based on binomial mixed model construction was applied in the sQTL mapping process (https://github.com/boxiangliulab/ISSAC). Threshold of significance was set as FDR < 0.05 by applying the BH procedure on the smallest nominal Pvalue of each splice site across all tested SNPs.
Institutions
- National University of Singapore (SG)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-25
- DOI
- https://doi.org/10.5281/zenodo.17199088
- Primary Topic
- Canadian Policy and Governance
- Type
- article
- Field-Weighted Citation Impact
- 0.00