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Guiding eQTL mapping and genomic prediction of gene expression in three pig breeds with tissue-specific epigenetic annotations from early development

Title: Guiding eQTL mapping and genomic prediction of gene expression in three pig breeds with tissue-specific epigenetic annotations from early development
Authors: Mollandin, Fanny; Acloque, Hervé; Ballester, Maria; Bink, Marco; Calus, Mario; Crespo-Piazuelo, Daniel; Croiseau, Pascal; Djebali, Sarah; Foissac, Sylvain; Gilbert, Hélène; Giuffra, Elisabetta; Guyomar, Cervin; Madsen, Ole; Mercat, Marie José; da Costa Perez, Bruno; de Vos, Jani; Rau, Andrea
Source: Genomics 118 (2026) 1 ; ISSN: 0888-7543
Publication Year: 2026
Collection: Wageningen UR (University & Research Centre): Digital Library
Subject Terms: Bayesian models; Epigenetics; Functional annotations; Gene expression; Genomic prediction; Pig breeds; eQTL mapping
Description: Gene expression is a dynamic phenotype influenced by tissue-specific regulatory mechanisms, which can modulate expression directly or indirectly through cis or trans factors. Identifying genetic variants in these regulatory regions can improve both expression quantitative trait locus (eQTL) mapping and gene expression prediction. Whole genome sequences offer the possibility for enhanced eQTL mapping accuracy, but detecting causal variants remains challenging. Here, we evaluate the potential added-value of integrating tissue-specific epigenetic annotations, such as chromatin accessibility and methylation status, into within-breed genomic predictions of expression for three pig breeds. Functional annotations from early developmental stages improved eQTL mapping interpretability as shown by the enrichment of trait-relevant QTLs. However, despite the use of functional annotations, predictions across breeds remain challenging due to differences in genetic architectures. Our work contributes to the understanding of gene expression regulation in livestock and highlights the value of functional annotations, despite continued challenges for predictions across breeds.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://edepot.wur.nl/705563
DOI: 10.1016/j.ygeno.2025.111158
Availability: https://research.wur.nl/en/publications/guiding-eqtl-mapping-and-genomic-prediction-of-gene-expression-in; https://doi.org/10.1016/j.ygeno.2025.111158; https://edepot.wur.nl/705563
Rights: https://creativecommons.org/licenses/by/4.0/ ; Wageningen University & Research
Accession Number: edsbas.7B61EF15
Database: BASE