Evidence map›Paper›PMID 42374534›Full record

ArticleGenome biology2026

Mapping the landscape of allele-specific expression in porcine genomes.

Wen-Ye Yao, Marta Gòdia, Lingzhao Fang, Martien A M Groenen, Lijing Bai, Kui Li, Ole Madsen

Abstract read
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Wen-Ye YaoShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Marta GòdiaAnimal Breeding and Genomics, Wageningen University & Research, Wageningen, Netherlands.
Lingzhao FangCenter for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark.
Martien A M GroenenAnimal Breeding and Genomics, Wageningen University & Research, Wageningen, Netherlands.
Lijing BaiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China. bailijing@caas.cn.
Kui LiShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China. likui@caas.cn.
Ole MadsenAnimal Breeding and Genomics, Wageningen University & Research, Wageningen, Netherlands.

Funding

National Key Research and Development Program of China 2021YFD301201National Key Research and Development Program of China 2024YFF0728800National Natural Science Foundation of China 31972539National Natural Science Foundation of Guangxi province 2024GXNSFAAO10105Science, Technology and Innovation Commission of Shenzhen Municipality JCYJ20180306173644635Science Technology Innovation and Industrial Development of Shenzhen Dapeng New District PT20170201STI 2030-Major Projects 2022ZD04017The Shenzhen Outstanding Talents Training Fund 202102
6 · The paper itself

Abstract

backgroundAllele-specific expression (ASE) is the imbalanced expression of two alleles of the same locus. It is quite pervasive among many species and is associated with health and economically relevant traits. ASE is often used to support the identification of variants related to gene expression (cis-eQTL). Thus, profiling allele-specific expression represents a significant step in elucidating the mechanism underlying gene expression regulation.

resultIn this study, we developed an ASE pipeline using publicly available RNA-seq data and open-source software. Using this pipeline, we are able to profile pervasive allelic imbalance across 42 tissues and 34 breeds from the Farm-GTEx-pig consortium at both SNP and gene levels without the need for parental genotypes or whole genome sequence data. We find that ASE is widely, but not evenly, spread across the genome. We also observe considerable variation in ASE profiles across various tissues, where the site fraction ranged from 1.3% to 54.1%. ASE tends to be highly tissue-specific, with limited overlap across tissues. The functional analysis of tissue-specific ASE sites indicates that they are involved in important biological functions of these tissues. Our ASE pipeline can be readily applied to other RNA-seq datasets for livestock and other species, thereby expanding its potential utility.

conclusionsThe wealth of available ASE resources provides a solid foundation for identifying regulatory elements within the genome that drive complex traits in livestock, making our pipeline and results valuable resources for researchers in this field.

Indexed as

AllelesGene Expression ProfilingSwineAllelic ImbalanceAnimalsBreedingGenomeLivestockOrgan SpecificityRNA-SeqAllele-specific expressionGenomicsPig-GTExPorcineRegulatory variation

Identifiers

PMID42374534
PMCPMC13632339

What Socratic holds

Textmetadata
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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 Socratic graph.