Evidence map›Paper›PMID 40442638›Full record

ArticleBMC biology2025

A multi-tissue atlas of allelic-specific expression reveals the characteristics, mechanisms, and relationship with dominant effects in cattle.

Jiaqi Li, Lei Xu, Xiaoyun Liang, Letian Li, Frederic Farnir, Xixia Huang, Qiuming Chen

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiaqi Li *College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, 830052, China.
Lei Xu *College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, 830052, China.
Xiaoyun Liang *College of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, 830052, China.
Letian LiCollege of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, 830052, China.
Frederic FarnirFaculte de Medecine Veterinaire, Universite de Liege, Quartier Vallee 2, Avenue de Cureghem 6 (B43), Liege, 4000, Belgium.
Xixia HuangCollege of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, 830052, China. au-huangxixia@163.com.
Qiuming ChenCollege of Animal Science, Xinjiang Agricultural University, Urumqi, Xinjiang, 830052, China. cqm19860612@126.com.

Funding

National Key R&D Program of China 2021YFD1200903
6 · The paper itself

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.

Indexed as

AllelesGene ExpressionQuantitative Trait LociAnimalsCattleMilkOrgan SpecificityAllele-specific expressionCattleDominant effect

Identifiers

PMID40442638
PMCPMC12123890

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.