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MOKA: a pipeline for multiomics bridged SNP-set kernel association test.

G3 (Bethesda, Md.) - 4 Feb 2026

Enoma David, Wang Dinghao, Kamdoum Ariel Ghislain Kemogne, Polo Rodrigo Ortega, Long Quan, He Jingni

Abstract excerpt

The explosion of genomic and multiomics data has created a need for scalable, reproducible tools that integrate functional annotations into genome-wide association studies (GWAS). We introduce the multiomics data bridged Kernel Association test (MOKA) pipeline, a Snakemake-based workflow that automates SNP-set kernel-based association testing by incorporating multiomics data, including gene expression,...

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Identifiers

PMID: 41417631
DOI: 10.1093/g3journal/jkaf296
PMCID: PMC12869064

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