Evidence map›Paper›PMID 41632020›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Multi-Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs.

Chao Wang, Yuanyuan Zhang, Choulin Chen, Xiaoxian Xu, Shenghua Qin, Junyan Qi, Yongzhou Bao, Huiming Li, Ruipu Chen, Weigang Zheng and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Chao WangState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yuanyuan ZhangState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Choulin ChenState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Xiaoxian XuGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, China.
Shenghua QinState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Junyan QiState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yongzhou BaoState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Huiming LiState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Ruipu ChenState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Weigang ZhengState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Zhilong ChenState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Lingzhao FangCenter For Quantitative Genetics and Genomics (QGG), Aarhus University, Aarhus, Denmark.
Yunxiang ZhaoGuangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, College of Animal Science and Technology, Guangxi University, Nanning, China.ORCID https://orcid.org/0009-0005-9620-7640
Yuwen LiuState Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.ORCID https://orcid.org/0009-0001-0470-2355

Funding

Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-ZDRW202406Basic Research Center, Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-BRC-LP-2025-01National Key Research and Development Program of China 2021YFF1000600National Natural Science Foundation of China 32372858National Natural Science Foundation of China Young Scientists Fund 32502880Shenzhen Science and Technology Program KJZD20230923115003006
6 · The paper itself

Abstract

Variations in both transcription and translation of genes play a pivotal role in shaping complex traits and disease phenotypes. However, systematic analyses of genetic variants regulating transcription and translation, as well as their contribution to the genetic architecture of complex traits, remain scarce. Here, by generating a multi-omics dataset consisting of 132 datasets (48 transcriptomic, 48 translational, 30 proteomic, and 6 WGS) across 16 tissues from two breeds, with 3 pigs per breed, we demonstrated widespread translational buffering/amplification across tissues and breeds, with translation efficiency (TE) contributing significantly to phenotypic variation. Through integrative analysis of transcriptional and translational profiles, population genetics, and dual-luciferase reporter assays, we developed a novel framework for prioritizing gene regulatory networks (GRNs) underlying complex traits. Using this framework, we identified 33 functional 5'UTR variants linked to pork production traits, modulating 14 target genes through changes in TE. RNA interference assays confirmed the involvement of AQP4 and MYO18B in myogenic differentiation. In particular, the AQP4 variant (chr6_111421187) likely alters TE by modifying RNA secondary structure, while MYO18B variants (chr14_43476491) affect TE via RNA-binding protein interactions. More broadly, our framework can serve as a paradigm for uncovering the genetic basis of complex traits, extending beyond traditional transcriptional regulation.

Indexed as

Gene Expression RegulationGene Regulatory NetworksProtein BiosynthesisAnimalsMultiomicsPhenotypeProteomicsQuantitative Trait LociSwineTranscriptomegene regulatory networkpigpost‐transcriptional regulationtranslationvariants

Identifiers

PMID41632020
PMCPMC13067857

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.