The correlation between pedigree and genomic-based inbreeding coefficients is usually discussed in the literature. However, some of these correlations could be spurious. Using partial correlations and information theory, it is possible to distinguish a significant association between two variables which is independent from associations with a third variable. The objective of this study is to implement partial correlations and information theory to assess the relationship between different inbreeding coefficients using a selected population of rabbits. Data from pedigree and genomic information from a 200K SNP chip were available. After applying filtering criteria, the data set comprised 437 animals genotyped for 114,604 autosomal SNP. Fifteen pedigree- and genome-based inbreeding coefficients were estimated and used to build a network. Recent inbreeding coefficient based on runs of homozygosity had 9 edges linking it with different inbreeding coefficients. Partial correlations and information theory approach allowed to infer meaningful associations between inbreeding coefficients and highlighted the importance of the recent inbreeding based on runs of homozygosity, but a good proxy of it could be those pedigree-based definitions reflecting recent inbreeding.

中文翻译：

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选定兔子种群的近亲繁殖系数网络

文献中通常讨论谱系和基于基因组的近亲繁殖系数之间的相关性。然而，其中一些相关性可能是虚假的。使用偏相关和信息论，可以区分两个变量之间的显着关联，而该关联独立于与第三个变量的关联。本研究的目的是实施偏相关和信息理论，以使用选定的兔子种群评估不同近亲繁殖系数之间的关系。可以使用来自 200K SNP 芯片的谱系和基因组信息的数据。应用过滤标准后，数据集包含 437 只动物，其基因分型为 114,604 个常染色体 SNP。估计了 15 个基于谱系和基因组的近亲繁殖系数并用于构建网络。最近基于纯合子运行的近交系数有 9 条边将其与不同的近交系数联系起来。偏相关和信息论方法允许推断近交系数之间有意义的关联，并根据纯合子的运行强调最近近交的重要性，但它的一个很好的代表可能是那些反映最近近交的基于谱系的定义。