Searching for new loci and candidate genes for economically important traits through gene-based association analysis of Simmental cattle.
Searching for new loci and candidate genes for economically important traits through gene-based association analysis of Simmental cattle.
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通过西门塔尔牛的基因关联分析寻找具有重要经济性状的新基因座和候选基因
DOI：
10.1038/srep42048
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发表时间：
2017-02-07
影响因子：
4.6
通讯作者：
Gao H
中科院分区：
文献类型：
--
作者：
Xia J;Fan H;Chang T;Xu L;Zhang W;Song Y;Zhu B;Zhang L;Gao X;Chen Y;Li J;Gao H
单标记全基因组关联研究（GWAS）是一种简便的遗传分析策略，已成功地检测了许多单核苷酸多态性（SNPs）与数量性状的关联。然而，单个SNP的分析只能解释一小部分遗传变异，并且只能提供有限的复杂性状知识。这种不足可以通过采用基于基因的GWAS分析方法来克服，该方法可以被认为是对单SNP关联分析的补充。在这里，我们对1141头西门塔尔牛的骨重（BW）和肉pH值进行了初始的单SNP GWAS，共有770，000个SNP。此外，从Ensembl Genes 83数据库中收集的21836个牛基因进行了分析，以寻找补充证据来支持基于基因的关联研究的重要性。基于单核苷酸多态性的关联分析结果表明，有11个SNPs与骨重（BW）显著相关，2个SNPs与肉pH值显著相关。有趣的是，所有这些SNP都位于基于基因的关联研究检测到的基因中。
Single-marker genome-wide association study (GWAS) is a convenient strategy of genetic analysis that has been successful in detecting the association of a number of single-nucleotide polymorphisms (SNPs) with quantitative traits. However, analysis of individual SNPs can only account for a small proportion of genetic variation and offers only limited knowledge of complex traits. This inadequacy may be overcome by employing a gene-based GWAS analytic approach, which can be considered complementary to the single-SNP association analysis. Here we performed an initial single-SNP GWAS for bone weight (BW) and meat pH value with a total of 770,000 SNPs in 1141 Simmental cattle. Additionally, 21836 cattle genes collected from the Ensembl Genes 83 database were analyzed to find supplementary evidence to support the importance of gene-based association study. Results of the single SNP-based association study showed that there were 11 SNPs significantly associated with bone weight (BW) and two SNPs associated with meat pH value. Interestingly, all of these SNPs were located in genes detected by the gene-based association study.