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Article

PICALO: principal interaction component analysis for the identification of discrete technical, cell-type, and environmental factors that mediate eQTLs.

Genome biology - 22 Jan 2024

Vochteloo Martijn, Deelen Patrick, Vink Britt, Tsai Ellen A, Runz Heiko, Andreu-Sánchez Sergio, Fu Jingyuan, Zhernakova Alexandra, Westra Harm-Jan, Franke Lude

Abstract excerpt

Expression quantitative trait loci (eQTL) offer insights into the regulatory mechanisms of trait-associated variants, but their effects often rely on contexts that are unknown or unmeasured. We introduce PICALO, a method for hidden variable inference of eQTL contexts. PICALO identifies and disentangles technical from biological context in heterogeneous blood and brain bulk eQTL datasets. These contexts are...

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Identifiers

PMID: 38254182
DOI: 10.1186/s13059-023-03151-0
PMCID: PMC10802033

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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