Evidence map›Paper›PMID 35232965›Full record

ArticleScientific reports2022

Integrative analyses of genomic and metabolomic data reveal genetic mechanisms associated with carcass merit traits in beef cattle.

Jiyuan Li, Yining Wang, Robert Mukiibi, Brian Karisa, Graham S Plastow, Changxi Li

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
13.8field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 63 citations in OpenAlex.

  1. Prediction of disease resilience of pigs using multi-omics data.Journal of animal science and biotechnology · 2026
    Article
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  3. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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  7. Signature of Selection Analysis Reveals Candidate Genes Related to Climate Adaptation and Production Traits in Lao Native Goats.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Application of GWAS and mGWAS in Livestock and Poultry Breeding.Animals : an open access journal from MDPI · 2024
    Review
  12. Article
  13. Article
  14. Review
  15. Article
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  18. 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

6 authors at 3 institutions in 2 countries.

Jiyuan LiDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Yining WangDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Robert MukiibiThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, UK.
Brian KarisaResults Driven Agriculture Research, Edmonton, AB, Canada.
Graham S PlastowDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada. plastow@ualberta.ca.
Changxi LiDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada. changxi.li@agr.gc.ca.
Agriculture and Agri-Food Canada · CAUniversity of Alberta · CAUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improvement of carcass merit traits is a priority for the beef industry. Discovering DNA variants and genes associated with variation in these traits and understanding biological functions/processes underlying their associations are of paramount importance for more effective genetic improvement of carcass merit traits in beef cattle. This study integrates 10,488,742 imputed whole genome DNA variants, 31 plasma metabolites, and animal phenotypes to identify genes and biological functions/processes that are associated with carcass merit traits including hot carcass weight (HCW), rib eye area (REA), average backfat thickness (AFAT), lean meat yield (LMY), and carcass marbling score (CMAR) in a population of 493 crossbred beef cattle. Regression analyses were performed to identify plasma metabolites associated with the carcass merit traits, and the results showed that 4 (3-hydroxybutyric acid, acetic acid, citric acid, and choline), 6 (creatinine, L-glutamine, succinic acid, pyruvic acid, L-lactic acid, and 3-hydroxybutyric acid), 4 (fumaric acid, methanol, D-glucose, and glycerol), 2 (L-lactic acid and creatinine), and 5 (succinic acid, fumaric acid, lysine, glycine, and choline) plasma metabolites were significantly associated with HCW, REA, AFAT, LMY, and CMAR (P-value < 0.1), respectively. Combining the results of metabolome-genome wide association studies using the 10,488,742 imputed SNPs, 103, 160, 83, 43, and 109 candidate genes were identified as significantly associated with HCW, REA, AFAT, LMY, and CMAR (P-value < 1 × 10

Indexed as

Genome-Wide Association StudyMeat3-Hydroxybutyric AcidAnimalsCattleCholineCreatinineLactic AcidPhenotypePolymorphism, Single Nucleotide3-Hydroxybutyric AcidCholineCreatinineLactic Acid

Identifiers

PMID35232965
PMCPMC8888742
OpenAlexW4214591355

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Registered trials

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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.