Single-cell splicing analysis with ISSAC links cell type-specific and cell state-dependent sQTLs to neurological disorders
Year: 2025
Type: article
Abstract: 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.
Authors: Zhang, Yuntian, Liu, Boxiang
Institution: National University of Singapore
Language: English
Topic: RNA Research and Splicing
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7083300708
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