2019
DOI: 10.3389/fgene.2019.01032
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Analysis of the Progeny of Sibling Matings Reveals Regulatory Variation Impacting the Transcriptome of Immune Cells in Commercial Chickens

Abstract: There is increasing recognition that the underlying genetic variation contributing to complex traits influences transcriptional regulation and can be detected at a population level as expression quantitative trait loci. At the level of an individual, allelic variation in transcriptional regulation of individual genes can be detected by measuring allele-specific expression in RNAseq data. We reasoned that extreme variants in gene expression could be identified by analysis of inbred progeny with shared grandpare… Show more

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Cited by 9 publications
(9 citation statements)
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“…In this analysis we reviewed all clusters with at least 5 nodes (probesets with expression patterns correlated at r ≥ 0.9). As we have seen in other studies [ 29 , 30 ] there was considerable individual dog-specific variation and many clusters were driven by high expression of a subset of genes in a single or small number of individuals, independent of disease status. These clusters were not analysed further.…”
Section: Resultssupporting
confidence: 72%
“…In this analysis we reviewed all clusters with at least 5 nodes (probesets with expression patterns correlated at r ≥ 0.9). As we have seen in other studies [ 29 , 30 ] there was considerable individual dog-specific variation and many clusters were driven by high expression of a subset of genes in a single or small number of individuals, independent of disease status. These clusters were not analysed further.…”
Section: Resultssupporting
confidence: 72%
“…7,247 genes making 20,612 edges were included in the analysis. As we have seen in other studies [29,30] there was considerable individual dog-specific variation and many clusters were driven by high expression of a subset of genes in a single or small number of individuals, independent of disease status.…”
Section: Network Analysis Of Samplessupporting
confidence: 71%
“…In this analysis we reviewed all clusters with at least 5 nodes (probesets with expression patterns correlated at r ≥ 0.9). As we have seen in other studies [29,30] there was considerable individual dog-speci c variation and many clusters were driven by high expression of a subset of genes in a single or small number of individuals, independent of disease status. These clusters were not analysed further.…”
Section: Network Analysis Of Samplessupporting
confidence: 70%