Single-cell splicing QTL analysis in pancreatic islets

Our results provide a proof of concept that it is possible to identify cell type level sQTLs, and we envision that better powered studies will allow us to further uncover the genetic regulation of splicing.

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Publication Details

Journal
Frontiers in Bioinformatics
Published
2025-09-10
DOI
https://doi.org/10.3389/fbinf.2025.1657895
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

Single-cell splicing QTL analysis in pancreatic islets

Martin Hemberg, Jae-Won Cho, Jingyi Cao
Frontiers in Bioinformatics
Single-cell and spatial transcriptomics
article

Single-cell splicing QTL analysis in pancreatic islets

Martin Hemberg, Jae-Won Cho, Jingyi Cao
article en

Abstract

Our results provide a proof of concept that it is possible to identify cell type level sQTLs, and we envision that better powered studies will allow us to further uncover the genetic regulation of splicing.

Frontiers in BioinformaticsVol. 5
Brigham and Women's Hospital (US)
Openalex Percentile: Top 79%
Single-cell and spatial transcriptomics
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