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SpliPath enhances disease gene discovery in case-control analyses of rare splice-altering genetic variants

Title: SpliPath enhances disease gene discovery in case-control analyses of rare splice-altering genetic variants
Authors: Project MinE ALS Sequencing Consortium; NYGC ALS Consortium; KNO Onderzoek; TN groep Kenna; Neurogenetica; Pathologie; Translational Neuroscience; Brain; Regenerative Medicine and Stem Cells; Neurologen; Projectafdeling ALS; Genetic Risks
Publication Year: 2025
Subject Terms: ALS; collapsed rare variant splicing quantitative trait locus; CP: computational biology; CP: genetics; gene burden test; intronic mutation; missing heritability; rare disease; rare variant association test; RNA splicing; splice-altering variant; Biotechnology; Biochemistry; Genetics and Molecular Biology (miscellaneous); Genetics; Radiology Nuclear Medicine and imaging; Computer Science Applications
Description: We developed SpliPath as a generalizable framework to discover disease associations mediated by rare variants that induce experimentally supported mRNA splicing defects. Our approach integrates components of burden tests (BTs), traditional splicing quantitative trait locus (sQTL) analyses, and sequence-to-function AI models (SpliceAI and Pangolin). Central to the workings of SpliPath is our concept of collapsed rare variant splicing QTL (crsQTL). crsQTL groups rare variants that are predicted to alter splicing in the same way, specifically by linking them to shared splice junctions observed in independent (unpaired) RNA sequencing (RNA-seq) datasets. We demonstrate the utility of SpliPath through applications in amyotrophic lateral sclerosis (ALS). Through this, we showcase scenarios where SpliPath detects genetic associations that cannot be recovered by more simplistic combinations of BT and SpliceAI. We also nominate crsQTL for splice defects detected in large-scale analyses of ALS patient tissue.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 2667-2375
Relation: https://dspace.library.uu.nl/handle/1874/467988
Availability: https://dspace.library.uu.nl/handle/1874/467988
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.E20D98CE
Database: BASE