ArticleBMC biology2025
A multi-tissue atlas of allelic-specific expression reveals the characteristics, mechanisms, and relationship with dominant effects in cattle.
Article in BMC biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Resolving Cattle GWAS Loci: Current Progress, Persistent Challenges and Future Directions.Current issues in molecular biology · 2026Review
- Analysis of Allele-Specific Expression Highlights Novel Participants of Empagliflozin-Driven Effects on T2DM-Associated Regulatory Pathways.International journal of molecular sciences · 2026Article
- A two-phase clustering procedure based on allele specific expression.BMC bioinformatics · 2026Article
- A multi-tissue atlas of allelic-specific expression reveals the characteristics, mechanisms, and relationship with dominant effects in cattle.BMC biology · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundAllele-specific expression (ASE) analysis is a crucial tool for validating expression quantitative trait loci (eQTLs), identifying causal variants associated with complex traits, and investigating the genetic mechanisms underlying heterosis. In this study, we characterized ASE variants across 35 tissues using 7532 publicly available RNA-seq datasets. Additionally, we explored the mechanisms driving ASE through integration with epigenomic data and examined the relationship between ASE and dominance effects on gene expression and milk-related traits in Holstein cattle.
resultsASE variants exhibited stronger tissue specificity and lower reproducibility compared to eQTLs. Interestingly, variants with opposite directional effects demonstrated greater resilience across diverse environments. Functional annotation revealed that ASE variants were enriched in both enhancer and promoter regions during transcription and implicated in post-transcriptional and translational processes, including mutations that affect mRNA splicing and trigger nonsense-mediated decay. Analysis of eQTLs, splicing QTLs (sQTLs), and validated QTLs associated with milk-related traits in Holstein cattle, coupled with enrichment analysis in QTL databases and effect size evaluation, indicated that ASE variants were more closely aligned with dominant effects than additive effects, particularly in reproductive and immune-related tissues/traits, which exhibited higher levels of heterosis.
conclusionsOur findings not only enhance our understanding of the genetic mechanisms underlying heterosis and ASE formation but also provide a valuable resource of regulatory variants that can be leveraged to improve economic traits through molecular breeding or the strategic exploitation of heterosis.
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