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Article

ColocQuiaL: a QTL-GWAS colocalization pipeline.

Bioinformatics (Oxford, England) - 15 Sept 2022

Chen Brian Y, Bone William P, Lorenz Kim, Levin Michael, Ritchie Marylyn D, Voight Benjamin F

Abstract excerpt

SUMMARY: Identifying genomic features responsible for genome-wide association study (GWAS) signals has proven to be a difficult challenge; many researchers have turned to colocalization analysis of GWAS signals with expression quantitative trait loci (eQTL) and splicing quantitative trait loci (sQTL) to connect GWAS signals to candidate causal genes. The ColocQuiaL pipeline provides a framework to perform these...

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Identifiers

PMID: 35894642
DOI: 10.1093/bioinformatics/btac512
PMCID: PMC9477517

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