2012
DOI: 10.1111/j.1365-2052.2012.02342.x
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Combining quantitative trait loci and heterogeneous microarray data analyses reveals putative candidate pathways affecting mastitis in cattle

Abstract: Mastitis is a frequent disease and considerable problem for the global dairy industry. Identification of solutions leading to the development of new control strategies is therefore of high importance. In this study, we have integrated genomic data from genome-wide association mapping in cattle with transcriptomic data from microarray studies of several mastitis pathogens and host species in vitro and in vivo. To identify significant candidate pathways directly and indirectly involved in the immune response to … Show more

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Cited by 14 publications
(14 citation statements)
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“…A subset of the differentially regulated genes (List eQG) with genomic positions linked to quantitative trait loci (QTL) affecting susceptibility to mastitis in Norwegian Red cattle (NRF) was identified previously [18]. Twenty-five of the List eQG genes were mapped to 5 different KEGG pathways ( p ≤ 0.05), mainly signaling in immune response and cancer (Table 1).…”
Section: Resultsmentioning
confidence: 99%
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“…A subset of the differentially regulated genes (List eQG) with genomic positions linked to quantitative trait loci (QTL) affecting susceptibility to mastitis in Norwegian Red cattle (NRF) was identified previously [18]. Twenty-five of the List eQG genes were mapped to 5 different KEGG pathways ( p ≤ 0.05), mainly signaling in immune response and cancer (Table 1).…”
Section: Resultsmentioning
confidence: 99%
“…A) The list of differentially regulated on microarray (n = 418) and Ensembl reannotated genes was used as an input for functional annotation clustering; B) Subset of these genes (n = 28; List eQG from [18]) was used as an input. Asterisk (*) denotes the significant KEGG pathways after the Benjamini–Hochberg multiple testing correction ( p  ≤ 0.05).…”
Section: Resultsmentioning
confidence: 99%
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“…In cattle, various GWAS have been performed to evaluate genetic differences for a variety of traits like production, reproduction and conformation [13] and for susceptibility or resistance to certain disease such as Johne’s disease [14, 15], bovine tuberculosis [16], mastitis or somatic cell score [1719]. These studies have been useful for identifying SNP markers and genes associated with a particular disease [20, 21].…”
Section: Introductionmentioning
confidence: 99%
“…Several candidate pathways were also found in the study on integrated genomic data from genome-wide association mapping in cattle, and transcriptomic data from microarray studies on mastitis pathogens. Of great interest are and signaling pathways [3].…”
Section: Introductionmentioning
confidence: 99%