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

IF 2.4 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Animal Bioscience Pub Date : 2024-06-25 DOI:10.5713/ab.24.0303
Ji-Yeong Kim, Eun-Ho Kim, Ho-Chan Kang, Cheol-Hyun Myung, Il-Keun Kong, Hyun Tae Lim
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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.

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基于 Hanwoo 全兄弟家族的全基因组关联研究比较分析。
目的:胴体性状的改良对于汉和牛产业至关重要,因为汉和牛的等级评定系统,而全基因组关联研究(GWAS)分析是确定影响这些性状的遗传因素的重要工具。虽然利用家族数据进行 GWAS 分析在最大限度地减少遗传偏差方面具有优势,但目前还缺乏基于家族的韩宇 GWAS 研究:方法:本研究利用亲代和子代的遗传信息将 A 组和 B 组进行分类,以比较汉和牛胴体性状的 GWAS 分析结果:结果:A组发现了16个重要的SNP标记(胴体重量(CWT)7、背脂厚度(BFT)3、大理石纹评分(MS)6),B组发现了7个重要的SNP标记(CWT 3、眼肌面积(EMA)1、BFT 1、MS 2)。功能注释分析表明,两组之间只有一个共同的功能与胴体性状有关,而蛋白质-蛋白质相互作用(PPI)分析表明,A 组有更多的基因相互作用:结论:利用亲本遗传信息进行 GWAS 分析具有更大的应用潜力,因为其估计值的可靠性更高,而且能够探索众多候选基因。
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来源期刊
Animal Bioscience
Animal Bioscience AGRICULTURE, DAIRY & ANIMAL SCIENCE-
CiteScore
5.00
自引率
0.00%
发文量
223
审稿时长
3 months
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