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Genome-wide association study comparison analysis based on Hanwoo full-sib family.
Kim, Ji-Yeong; Kim, Eun-Ho; Kang, Ho-Chan; Myung, Cheol-Hyun; Kong, Il-Keun; Lim, Hyun Tae.
Afiliación
  • Kim JY; Department of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
  • Kim EH; Department of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
  • Kang HC; Department of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
  • Myung CH; Department of Animal Science, Gyeongsang National University, Jinju 52828, Korea.
  • Kong IK; Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju 52828, Korea.
  • Lim HT; Institute of Agriculture and Life Science, Gyeongsang National University, Jinju 52828, Korea.
Anim Biosci ; 2024 Jun 25.
Article en En | MEDLINE | ID: mdl-38938028
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:

16 significant SNP markers (carcass weight (CWT) 7, back fat thickness (BFT) 3, marbling score (MS) 6) were identified in Group A, and 7 significant SNP markers (CWT 3, eye muscle area (EMA) 1, BFT 1, MS 2) were identified in Group B. Functional annotation analysis revealed only one common function related to carcass traits between the groups, while Protein-protein interaction (PPI) 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.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Anim Biosci Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Anim Biosci Año: 2024 Tipo del documento: Article