Evidence map›Paper›PMID 38938028›Full record

ArticleAnimal bioscience2024

Genome-wide association study comparison analysis based on Hanwoo full-sib family.

Ji-Yeong Kim, Eun-Ho Kim, Ho-Chan Kang, Cheol-Hyun Myung, Il-Keun Kong, Hyun-Tae Lim

Abstract read
In one paragraph

Article in Animal bioscience, 2024. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Ji-Yeong KimDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
Eun-Ho KimDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
Ho-Chan KangDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
Cheol-Hyun MyungDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
Il-Keun KongDivision of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju 52828, Korea.
Hyun-Tae LimDepartment of Animal Science, Gyeongsang National University, Jinju 52828, Korea.

Funding

Agriculture Science and Technology DevelopmentRural Development Administration PJ0162182021
6 · The paper itself

Abstract

objectiveThe improvement of carcass traits is essential for the Hanwoo industry because of the Hanwoo grade determination system, and genome-wide association study (GWAS) analysis is an instrumental tool for identifying the genetic factors that impact these traits. While GWAS analysis utilizing family data offers advantages in minimizing genetic bias, research on family-based GWAS in Hanwoo is currently lacking.

methodsThis study classified Group A using both parental and offspring genetic information, and Group B based solely on offspring genetic information, to compare GWAS analysis results of Hanwoo carcass traits.

resultsA total of 16 significant single nucleotide polymorphism (SNP) markers were identified in Group A, comprising 7 for carcass weight (CWT), 3 for back fat thickness (BFT), and 6 for marbling score (MS). In Group B, 7 significant SNP markers were identified, including 3 for CWT, 1 for eye muscle area, 1 for BFT, and 2 for MS. Functional annotation analysis revealed only one common function related to carcass traits between the groups, while protein-protein interaction analysis indicated more gene interactions in Group A. The reliability of estimated values for common SNP markers identified between the groups was higher in Group A.

conclusionGWAS analysis utilizing parental genetic information holds greater potential for application, owing to its higher reliability of estimated values and the ability to explore numerous candidate genes.

Indexed as

Carcass TraitsFamily-based GWASGenome-wide Association Study (GWAS)Hanwoo

Identifiers

PMID38938028
PMCPMC11541011

What Socratic holds

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