Evidence map›Paper›PMID 38087235›Full record

ArticleGenetics, selection, evolution : GSE2023

Genetic analysis of the blood transcriptome of young healthy pigs to improve disease resilience.

Kyu-Sang Lim, Jian Cheng, Christopher Tuggle, Michael Dyck, PigGen Canada, Frederic Fortin, John Harding, Graham Plastow, Jack Dekkers

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
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

12 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Prediction of disease resilience of pigs using multi-omics data.Journal of animal science and biotechnology · 2026
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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

9 authors at 4 institutions in 3 countries.

Kyu-Sang LimDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Jian ChengDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Christopher TuggleDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Michael DyckDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
PigGen CanadaPigGen Canada Research Consortium, Guelph, ON, Canada.
Frederic FortinCentre de Développement du Porc du Québec Inc. (CDPQ), Québec City, QC, Canada.
John HardingDepartment of Large Animal Clinical Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Graham PlastowDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Jack DekkersDepartment of Animal Science, Iowa State University, Ames, IA, USA. jdekkers@iastate.edu.ORCID http://orcid.org/0000-0003-1557-7577
Iowa State University · USUniversity of Alberta · CACentre de Développement du Porc du Québec · CAUniversity of Saskatchewan · CA

Funding

National Institute of Food and Agriculture 2017-67007-26144
6 · The paper itself

Abstract

backgroundDisease resilience is the ability of an animal to maintain productive performance under disease conditions and is an important selection target. In pig breeding programs, disease resilience must be evaluated on selection candidates without exposing them to disease. To identify potential genetic indicators for disease resilience that can be measured on selection candidates, we focused on the blood transcriptome of 1594 young healthy pigs with subsequent records on disease resilience. Transcriptome data were obtained by 3'mRNA sequencing and genotype data were from a 650 K genotyping array.

resultsHeritabilities of the expression of 16,545 genes were estimated, of which 5665 genes showed significant estimates of heritability (p < 0.05), ranging from 0.05 to 0.90, with or without accounting for white blood cell composition. Genes with heritable expression levels were spread across chromosomes, but were enriched in the swine leukocyte antigen region (average estimate > 0.2). The correlation of heritability estimates with the corresponding estimates obtained for genes expressed in human blood was weak but a sizable number of genes with heritable expression levels overlapped. Genes with heritable expression levels were significantly enriched for biological processes such as cell activation, immune system process, stress response, and leukocyte activation, and were involved in various disease annotations such as RNA virus infection, including SARS-Cov2, as well as liver disease, and inflammation. To estimate genetic correlations with disease resilience, 3205 genotyped pigs, including the 1594 pigs with transcriptome data, were evaluated for disease resilience following their exposure to a natural polymicrobial disease challenge. Significant genetic correlations (p < 0.05) were observed with all resilience phenotypes, although few exceeded expected false discovery rates. Enrichment analysis of genes ranked by estimates of genetic correlations with resilience phenotypes revealed significance for biological processes such as regulation of cytokines, including interleukins and interferons, and chaperone mediated protein folding.

conclusionsThese results suggest that expression levels in the blood of young healthy pigs for genes in biological pathways related to immunity and endoplasmic reticulum stress have potential to be used as genetic indicator traits to select for disease resilience.

Indexed as

Resilience, PsychologicalTranscriptomeAnimalsGenotypeHumansPhenotypeRNA, ViralSwineRNA, Viral

Identifiers

PMID38087235
PMCPMC10714454
OpenAlexW4389624276

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.