整合大规模的meta-GWAS和PigGTEx资源来破译猪中232个复杂特征的遗传基础
Zhiting Xu1, Qing Lin1, Xiaodian Cai1
1State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.
National science review
|May 7, 2025
概括
这项研究使用全基因组关联研究 (GWAS) 绘制了数千个与猪复杂特征相关的遗传区域. 它揭示了影响特征的调节回路,并揭示了猪和人类之间的保存机制.
科学领域:
- 基因组学就是基因组学.
- 动物遗传学动物遗传学
- 哺乳动物生物学 哺乳动物生物学
背景情况:
- 了解猪的复杂特征对于遗传改进至关重要,并作为人类生物学模型.
- 人工选择依赖于识别影响经济重要特征的遗传因素.
研究的目的:
- 对猪的众多复杂特征进行全面的全基因组关联研究 (GWAS) 和元分析.
- 确定定量特征位置 (QTL) 并调查它们的调节机制和生物背景.
- 探索猪和人类之间保存的遗传机制,寻找复杂的特征.
主要方法:
- 进行了全基因组关联研究 (GWAS) 和交叉品种/品种内元分析.
- 在14种猪品种的70,328只动物中利用了2830万种被认为的序列变异.
- 利用猪基因型-组织表达 (pGTEx) 资源来识别变异基因-组织-特征调节电路.
主要成果:
- 对139个复杂的特征确定了6878个定量特征位点 (QTL).
- 优先考虑了14829个变异基因-组织特征调节电路,包括具体的例子,如rs344053754调节UGT2B31的表达.
- 观察到猪和人类之间复杂特征的遗传和调节机制的保护.
结论:
- 交叉品种元GWAS为猪遗传学研究提供了广泛的资源.
- 获得了对哺乳动物复杂特征的遗传调节和演变的新见解.
- 这些发现支持猪作为研究哺乳动物复杂特征和疾病机制的有价值模型.
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