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On the distance of genetic relationships and the accuracy of genomic prediction in pig breeding

机译:猪育种中亲缘关系的距离和基因组预测的准确性

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Background With the advent of genomic selection, alternative relationship matrices are used in animal breeding, which vary in their coverage of distant relationships due to old common ancestors. Relationships based on pedigree ( A ) and linkage analysis ( G LA ) cover only recent relationships because of the limited depth of the known pedigree. Relationships based on identity-by-state ( G ) include relationships up to the age of the SNP (single nucleotide polymorphism) mutations. We hypothesised that the latter relationships were too old, since QTL (quantitative trait locus) mutations for traits under selection were probably more recent than the SNPs on a chip, which are typically selected for high minor allele frequency. In addition, A and G LA relationships are too recent to cover genetic differences accurately. Thus, we devised a relationship matrix that considered intermediate-aged relationships and compared all these relationship matrices for their accuracy of genomic prediction in a pig breeding situation. Methods Haplotypes were constructed and used to build a haplotype-based relationship matrix ( G H ), which considers more intermediate-aged relationships, since haplotypes recombine more quickly than SNPs mutate. Dense genotypes (38?453 SNPs) on 3250 elite breeding pigs were combined with phenotypes for growth rate (2668 records), lean meat percentage (2618), weight at three weeks of age (7387) and number of teats (5851) to estimate breeding values for all animals in the pedigree (8187 animals) using the aforementioned relationship matrices. Phenotypes on the youngest 424 to 486 animals were masked and predicted in order to assess the accuracy of the alternative genomic predictions. Results Correlations between the relationships and regressions of older on younger relationships revealed that the age of the relationships increased in the order A , G LA , G H and G . Use of genomic relationship matrices yielded significantly higher prediction accuracies than A . G H and G , differed not significantly, but were significantly more accurate than G LA . Conclusions Our hypothesis that intermediate-aged relationships yield more accurate genomic predictions than G was confirmed for two of four traits, but these results were not statistically significant. Use of estimated genotype probabilities for ungenotyped animals proved to be an efficient method to include the phenotypes of ungenotyped animals.
机译:背景技术随着基因组选择的出现,在动物育种中使用了替代关系矩阵,由于古老的祖先,它们在远距离关系的覆盖范围方面有所不同。由于已知血统的深度有限,基于血统(A)和链接分析(G LA )的关系仅涵盖最近的关系。基于状态标识(G)的关系包括直至SNP(单核苷酸多态性)突变年龄的关系。我们假设后者之间的关系太旧了,因为选择的性状的QTL(定量性状基因座)突变可能比芯片上的SNP(它们通常是为较高的次要等位基因频率而选择)更新的较新。此外,A和G LA 关系太新了,无法准确地涵盖遗传差异。因此,我们设计了一个关系矩阵,该关系矩阵考虑了中年关系,并比较了所有这些关系矩阵在猪繁殖情况下的基因组预测准确性。方法构建单倍型并用于建立基于单倍型的关系矩阵(G H ),该矩阵考虑了更多的中老年关系,因为单倍型重组比SNP突变更快。将3250头优良种猪的致密基因型(38?453 SNP)与表型相结合,以估算生长率(2668记录),瘦肉率(2618),三周龄体重(7387)和乳头数(5851)以进行估计使用上述关系矩阵,对系谱中所有动物(8187只动物)的育种值。掩盖并预测了最年轻的424至486只动物的表型,以评估其他基因组预测的准确性。结果老年人之间的关系与回归之间的相关性表明,关系的年龄按A,G LA ,G H 和G的顺序增加。使用基因组关系矩阵产生的预测准确性明显高于A。 G H 和G的差异不明显,但比G LA 准确得多。结论我们的假说是四个特征中的两个证实了中年关系比G产生更准确的基因组预测,但这些结果在统计学上并不显着。对于非基因型动物,使用估计的基因型概率被证明是包括非基因型动物表型的有效方法。

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