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Genome-wide association study comparison analysis based on Hanwoo full-sib familyopen access

Authors
Kim, Ji-YeongKim, Eun-HoKang, Ho-ChanMyung, Cheol-HyunKong, Il-KeunLim, Hyun-Tae
Issue Date
Dec-2024
Publisher
Asian-Australasian Association of Animal Production Societies
Keywords
Carcass Traits; Family-based GWAS; Genome-wide Association Study (GWAS); Hanwoo
Citation
Animal Bioscience, v.37, no.12, pp 2054 - 2065
Pages
12
Indexed
SCIE
SCOPUS
KCICANDI
Journal Title
Animal Bioscience
Volume
37
Number
12
Start Page
2054
End Page
2065
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/74771
DOI
10.5713/ab.24.0303
ISSN
2765-0189
2765-0235
Abstract
Objective: The 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. Methods: This 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. Results: A 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. Conclusion: GWAS 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. © 2024 by Animal Bioscience.
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