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Article

A framework for integrating directed and undirected annotations to build explanatory models of cis-eQTL data.

PLoS computational biology - 1 Jun 2020

Lamparter David, Bhatnagar Rajat, Hebestreit Katja, Belgard T Grant, Zhang Alice, Hanson-Smith Victor

Abstract excerpt

A longstanding goal of regulatory genetics is to understand how variants in genome sequences lead to changes in gene expression. Here we present a method named Bayesian Annotation Guided eQTL Analysis (BAGEA), a variational Bayes framework to model cis-eQTLs using directed and undirected genomic annotations. We used BAGEA to integrate directed genomic annotations with eQTL summary statistics from tissues of...

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Identifiers

PMID: 32516306
DOI: 10.1371/journal.pcbi.1007770
PMCID: PMC7332077

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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