Evidence map›Paper›PMID 39932890›Full record

ArticleGenomics, proteomics & bioinformatics2025

FarmGTEx TWAS-server: An Interactive Web Server for Customized TWAS Analysis.

Zhenyang Zhang, Zitao Chen, Jinyan Teng, Shuli Liu, Qing Lin, Jun Wu, Yahui Gao, Zhonghao Bai, FarmGTEx Consortium, Bingjie Li and 6 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

16 authors.

Zhenyang ZhangDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0009-0009-1987-2259
Zitao ChenDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0001-6213-0810
Jinyan TengGuangdong Laboratory of Lingnan Modern Agriculture, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-3046-1452
Shuli LiuSchool of Life Sciences, Westlake University, Hangzhou 310024, China.ORCID 0009-0006-8379-4994
Qing LinGuangdong Laboratory of Lingnan Modern Agriculture, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-8416-9748
Jun WuGuangdong Laboratory of Lingnan Modern Agriculture, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0001-5537-6804
Yahui GaoAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD 20705, USA.ORCID 0000-0003-0602-4823
Zhonghao BaiCenter for Quantitative Genetics and Genomics, Aarhus University, Aarhus 8000, Denmark.ORCID 0009-0005-8697-1813
FarmGTEx Consortium
Bingjie LiScotland's Rural College (SRUC), Roslin Institute Building, Midlothian, EH25 9RG, UK.ORCID 0000-0002-8528-1889
George LiuAnimal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD 20705, USA.ORCID 0000-0003-0192-6705
Zhe ZhangDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0001-5320-3125
Yuchun PanDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-1163-5963
Zhe ZhangGuangdong Laboratory of Lingnan Modern Agriculture, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0001-7338-7718
Lingzhao FangCenter for Quantitative Genetics and Genomics, Aarhus University, Aarhus 8000, Denmark.ORCID 0000-0003-1103-3679
Qishan WangDepartment of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-6475-0009

Funding

BBSRC BB/X009505/1
6 · The paper itself

Abstract

Transcriptome-wide association study (TWAS) is a powerful approach for investigating the molecular mechanisms linking genetic loci to complex phenotypes. However, the complexity of the TWAS analytical pipeline, including the construction of gene expression reference panels, gene expression prediction, and association analysis using data from genome-wide association studies (GWASs), poses challenges for genetic studies in many species. In this study, we provide the Farm Animal Genotype-Tissue Expression (FarmGTEx) TWAS-server, an interactive and user-friendly multispecies platform designed to streamline the translation of genetic findings across tissues and species. The server incorporates gene expression data from 49 human tissues (838 individuals), 34 pig tissues (5457 individuals), and 23 cattle tissues (4889 individuals), providing prediction models for 38,180 human genes, 21,037 pig genes, and 17,942 cattle genes. It supports genotype-based gene expression prediction, GWAS summary statistics imputation, customizable TWAS analysis, functional annotation, and result visualization. Additionally, we provide 479,203, 1208, and 657 tissue-gene-trait associations for 1129 human traits, 41 cattle traits, and 11 pig traits, respectively. Utilizing the TWAS-server, we validated the association of the ABCD4 gene with pig teat number. Furthermore, we identified that pig backfat thickness may share genetic similarities with human diastolic blood pressure, sarcoidosis (Löfgren syndrome), and body mass index. The FarmGTEx TWAS-server offers a comprehensive and accessible platform for researchers to perform TWAS analyses across tissues and species. It is freely available at https://twas.farmgtex.org, with regular updates planned as the FarmGTEx project expands to include more species.

Indexed as

Gene Expression ProfilingGenome-Wide Association StudySoftwareTranscriptomeAnimalsCattleGenotypeHumansInternetPhenotypeSwineCross speciesFarm animalGene expressionTranscriptome-wide association studyWeb server

Identifiers

PMID39932890
PMCPMC12237508

What OpenQuestion 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 OpenQuestion graph.